@inproceedings{nolte2018,
title={Prototype-based analysis of {GAMA} galaxy
catalogue data},
author={Nolte, A. and Wang, L. and Biehl, M.},
booktitle={26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018},
pages={339-344},
year={2018},
editor={M. Verleysen},
publisher={Ciaco - i6doc.com},
}
@inproceedings{special2018,
title={Machine learning and data anlysis in astroinformatics},
author={M. Biehl and K. Bunte and G. Longo and P. Tino},
booktitle={26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018},
pages={307-314},
year={2018},
editor={M. Verleysen},
publisher={Ciaco - i6doc.com},
}
@Book{ smedinga2018scrug,
author = {R. Smedinga and M. Biehl (eds.)},
title = {{SC@RUG} 2017-2018, Proc. of the 15th Student Colloquium
Computer Science},
publisher = {Univ. of Groningen},
note = {116 pages},
year = { 2018 }
}
@article{ Aiollo2018editorial,
author = {Aiollo, F. and Biehl, M. and Oneto, L.},
journal = {Neurocomputing},
title = {Editorial: Advances in artificial neural networks, machine learning and computational
intelligence},
year = {2018},
volume= {298},
pages={1-3},
}
@article{Bancos2018,
title={{Urine steroid metabolomics as a diagnostic tool for detection of adrenocortical malignancy - a prospective test validation study}},
author={Bancos, I. and Taylor, A. and Chortis, V. and
Sitch, A. and Lank, K. and Prete, A. and Terzolo, M. and Fassnacht, M. and Quinkler, M. and Kastelan, D. and Vassiliadi, D. and Beuschlein, F. and Ambroziak, U. and Biehl, M. and Deeks, J. and Arlt, W.},
journal={Endocrine Abstracts},
volume ={56},
pages={OC7.2},
year={2018},
}
@inproceedings{LeKander2017,
author={LeKander, M. and Biehl, M. and {de Vries},H.},
title={Empirical Evaluation of Gradient Methods for
Matrix Relevance Learning Vector Quantization},
booktitle={{Proc. 12th Intl.\ Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM), Nancy, 2017}},
year={2017},
publisher={IEEE},
note={8 pages},
doi={10.1109/WSOM.2017.8020027},
}
@inproceedings{Bani2017,
author={Bani, G. and Seiffert, U. and
Biehl, M. and Melchert, F.},
title={Adaptive Basis Functions for Prototype-based Classification of Functional Data},
booktitle={{Proc. 12th Intl.\ Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM), Nancy, France, 2017}},
year={2017},
publisher={IEEE},
note={8 pages},
doi={10.1109/WSOM.2017.8020019},
}
@inproceedings{Straat2017,
author={Straat, M. and Kaden, M. and Gay, M. and Villmann, T. and Lampe, A. and Seiffert, U. and
Biehl, M. and Melchert, F.},
title={Prototypes and Matrix Relevance Learning in Complex Fourier Space},
booktitle={{Proc. 12th Intl.\ Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM), Nancy, France, 2017}},
year={2017},
publisher={IEEE},
note={6 pages},
doi={10.1109/WSOM.2017.8020019},
}
@inproceedings{Villmann2017,
author={Villmann, T. and Biehl, M. and Villmann, A. and Sarajalew, S.},
title={Fusion of Deep Learning Architectures, Multilayer Feedforward Networks and Learning Vector Quantizers for Deep Classification Learning},
booktitle={{Proc. 12th Intl.\ Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM), Nancy, France, 2017}},
year={2017},
publisher={IEEE},
note={6 pages},
doi={10.1109/WSOM.2017.8020009},
}
@inproceedings{mohammadi2017sequence,
title={Sequence Learning in Unsupervised and Supervised Vector Quantization Using Hankel Matrices},
author={Mohammadi, M. and Biehl, M. and Villmann, A. and Villmann, T.},
booktitle={International Conference on Artificial Intelligence and Soft Computing (ICAISC 2017)},
pages={131--142},
year={2017},
organization={Springer, Cham}
}
@inproceedings{biehl2017biomedical,
title={Biomedical Applications of Prototype Based Classifiers and Relevance Learning.},
author={Biehl, M.},
booktitle={AlCoB: 4th International Conference on Algorithms for Computational Biology},
editor={D. Figueiredo and C. Martin-Vide and
D. Pratas and M.A. Vega-Rodriguez},
publisher={Springer LNCS},
volume={10252},
pages={3--23},
year={2017}
}
@inproceedings{neocleous2017marker,
title={Marker Selection for the Detection of Trisomy 21 Using Generalized Matrix Learning Vector Quantization},
author={Neocleous, A.C. and Neocleous, C. and Schizas, C.N. and Biehl, M. and Petkov, N.},
booktitle={Neural Networks (IJCNN), International Joint Conference on},
pages={3704--3708},
year={2017},
organization={IEEE}
}
@inproceedings{ghosh2017comparison,
title={Comparison of strategies to learn from imbalanced classes for computer aided diagnosis of inborn steroidogenic disorders},
author={Ghosh, S. and Baranowski, E. and van Veen, R. and de Vries, G.-J. and Biehl, M. and Arlt, W. and Tino, P. and Bunte, K.},
booktitle={25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017},
editor={M. Verleysen},
pages={199--204},
year={2017},
publisher={Ciaco - i6doc.com}
}
@inproceedings{bhanot2017biomedical,
title={Biomedical data analysis in translational research: Integration of expert knowledge and interpretable models},
author={Bhanot, G. and Biehl, M. and Villmann, T. and Z{\"u}hlke, D.},
booktitle={25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2017},
pages={177--186},
year={2017},
editor={M. Verleysen},
publisher={Ciaco - i6doc.com}
}
@article{arlt2017steroid,
title={Steroid metabolome analysis reveals prevalent glucocorticoid excess in primary aldosteronism},
author={Arlt, W. and Lang, K. and Sitch, A. and Dietz, A. and Rhayem, Y. and Bancos, I. and Feuchtinger, A. and Chortis, V. and Gilligan, L.C. and Ludwig, P. and Riester, A. and Asbach, E. and Hughes, B. and {O'Neill}, D.M., and Bidlingmaier, M. and Tomlinson,J. and Hassan-Smith, Z. and
Rees, A. and Adolf, C. and Hahner, S. and Quinkler, M. and Dekkers, T. and Deinum, J. and Biehl, M. and Keevil, B. and Shackleton, C. and Deeks, J. and Walch, A. and Beuschlein, F. and Reincke, M.},
journal={JCI Insight},
volume={2},
number={8},
year={2017},
publisher={The American Society for Clinical Investigation}
}
@inproceedings{ghosh2017computer,
title={Computer aided diagnosis under the influence of heterogeneous data and imbalanced classes},
author={Ghosh, S. and Baranowski, E.S. and van Veen, R. and de Vries, G.-J. and Biehl, M. and Arlt, W. and Tino, P. and Bunte, K.},
booktitle={ICT.Open 2017},
year={2017}
}
@inproceedings{ghosh2017miwoci,
title={Computer aided diagnosis of inborn steroidegenic disorders (abstract)},
author={Ghosh, S. and Baranowski, E.S. and Biehl, M. and Arlt, W. and Tino, P. and Bunte, K.},
booktitle={Proc. Mittweida Workshop on Computational Intelligence MiWoCI},
editor = {Schleif, F.-M. and Villmann, T.},
series={Machine Learning Reports},
volume={MLR-01-2017},
pages={6},
year={2017},
}
@inproceedings{abadi2017miwoci,
title={Life-long (machine) learning in prototype-based classifiers (abstract)},
author={Biehl, M. and Abadi, F. and G{\"o}pfert, C. and Hammer, B.},
booktitle={Proc. Mittweida Workshop on Computational Intelligence MiWoCI},
editor = {Schleif, F.-M. and Villmann, T.},
series={Machine Learning Reports},
volume={MLR-01-2017},
pages={27},
year={2017},
}
@inproceedings{biehl2017prototype,
title={Prototype based models for the supervised learning of classificaton schemes},
author={Biehl, M. and Hammer, B. and Villmann, T.},
booktitle={Proc. of the International
Astronomical Union},
volume={12},
issue={S335},
pages={129-138},
year={2017}
}
@Inproceedings{Biehl2017FDGPET,
author={Biehl, M. and Mudali, D. and Leenders, K.L. and Roerdink, J.B.T.M.},
editor="Amunts, K. and Grandinetti, L. and Lippert, T. and Petkov, N.",
title="Classification of {FDG-PET Brain Data by Generalized Matrix Relevance LVQ}",
booktitle="Proc. International Workshop on Brain Inspired Computing, BrainComp2015",
year="2017",
series ="Lecture Notes in Computer Science",
publisher="Springer",
volume="10087",
address="Cham",
pages="131-141",
doi="10.1007/978-3-319-50862-7_10",
note={available online},
}
@Book{ smedinga2017scrug,
author = {R. Smedinga and M. Biehl and F. Kramer (eds.)},
title = {{SC@RUG} 2016--2017, Proc. of the 14th Student Colloquium
Computer Science},
publisher = {University of Groningen},
note = {88 pages},
year = { 2016 }
}
@article{MoollaLiver2017,
title={{The urinary steroid metabolome as a non-invasive tool to stage non-alcoholic fatty liver disease.}},
author={A. Moolla and B. Hughes and W. Arlt and Z. Hassan-Smith and L. Gilligan and M. Armstrong and P. Newsome
and T. Shah and L. Van Gaal and A. Verrijken and
S. Francque and J. Grove and N. Guha and
G. Aithal and E. Barnes and M. Biehl and J. Tomlinson},
journal={Endocrine Abstracts},
volume ={49},
pages={OC3.5},
year={2017},
}
@article{Baranowski2017,
title={{Steroid metabolomics for accurate and rapid
diagnosis of inborn steroidogenic disorders}},
author={Baranowski, E. and Bunte, K. and Shackleton, C.H.L. and Tayler, A.E. and Hughes, B.A. and
Biehl, M. and Tino, P. and Guran, T. and Arlt, W.},
journal={Endocrine Abstracts},
volume ={49},
pages={OC1.3},
year={2017},
}
@article {Mudali2016Biomedical,
author={D. Mudali and M. Biehl and S.K. Meles and R.J. Renken and D. Garcia-Garcia and P. Clavero and J. Arbizu and J.A. Obeso and M.C. Rodriguez-Oroz and K. Leenders and J.B.T.M. Roerdink},
title={{Differentiating Early and Late Stage Parkinson's Disease Patients from Healthy Controls.}},
journal={Journal of Biomedical Engineering and Medical Imaging},
year={2016},
volume={3},
issue={6},
pages={33-43},
}
@inproceedings{melchert2016nc2,
title={Functional approximation for the classification
of smooth time series},
author={Melchert, F. and Seiffert, U. and Biehl, M.},
booktitle={GCPR Workshop on New Challenges in Neural Computation 2016},
editor = {Hammer, B. and Martinetz, T. and Villmann, T.},
series={Machine Learning Reports},
volume={MLR-2016-04},
pages={24-31},
year={2016},
}
@Inproceedings{Mukherjee2016CEC,
author={G. Mukherjee and G. Bhanot and K. Raines and
S. Sastry and S. Doniach and M. Biehl},
title={{Predicting Recurrence in Clear Cell Renal Cell
Carcinoma.}},
booktitle={{Proc. Congress on Evolutionary Computation (CEC), Vancouver, 2016}},
publisher={IEEE},
year={2016},
}
@article {ROC-Statistics2016,
author = {Villmann, T. and Kaden, M. and Herrmann, W. and Biehl, M.},
title = {{Learning Vector Quantization classifiers for ROC-optimization}},
journal = {Computational Statistics},
year = {2016},
note = {available online},
doi = {10.1007/s00180-016-0678-y},
}
@article {BHV-WIRES2016,
author = {Biehl, M. and Hammer, B. and Villmann, T.},
title = {Prototype-based models in machine learning},
journal = {Wiley Interdisciplinary Reviews: Cognitive Science},
publisher = {John Wiley & Sons, Inc.},
issn = {1939-5086},
url = {http://dx.doi.org/10.1002/wcs.1378},
doi = {10.1002/wcs.1378},
volume={7},
issue={2},
pages = {92-111},
year = {2016},
}
@Inproceedings{Melchert2016IFF,
author={Melchert, F. and Seiffert, U. and Biehl, M.},
title={{Funktionale Approximation von Spektraldaten
zur Steigerung der Klassifikationsleistung im GMLVQ}},
booktitle={{17. Forschungskolloquium am Fraunhofer IFF, Magdeburg, 2015}},
pages={49-54},
year={2016},
}
@Inproceedings{MelchertBNAIC2016,
author={Melchert, F. and Seiffert, U. and Biehl, M.},
title={{Abstract: Functional Representation of Prototypes in LVQ and Relevance Learning}},
booktitle={{Proc. of the 28th BENELUX Conference on
Artificial Intelligence (Amsterdam, 2016)}},
url= {bnaic2016.cs.vu.nl},
pages={165-166},
year={2016},
}
@article{MoollaLiver2016,
title={{The urinary steroid metabolome as a non-invasive tool to stage non-alcoholic fatty liver disease.}},
author={A. Moolla and A. Amin and B. Hughes and W. Arlt and Z. Hassan-Smith and M. Armstrong and P. Newsome
and T. Shah and L. Van Gaal and A. Verrijken and
S. Francque and M. Biehl and J. Tomlinson},
journal={Endocrine Abstracts},
volume ={44},
pages={OC1.4},
year={2016},
}
@article{chortis2016recurrence,
title={Urine steroid metabolomics is a highly sensitive tool for post-operative recurrence
detection in adrenocorticalcarcinoma.},
author={Chortis, V. and Bancos, I. and Sitch, A.J.
and Taylor, A.E. and {O'Neil}, D. and Lang, K.
and Quinkler, M. and Terzolo, M. and Manelli, M. and
Vassiliadi, D. and Ambroziak, U. and {Conall Dennedy}, M. and Sherlock, M. and Bertherat, J. and Beuschlein, F. and Fassnacht, M. and Deeks, J. and Biehl, M. and Arlt, W.},
journal={Endocrine Abstracts},
volume={41},
pages={OC1.4},
year={2016},
}
@article{baranowski2016inborn,
title={Steroid metabolomics for diagnosis of inborn steroidogenic disorders, bridging the gap between clinician and scientist through computational approaches.},
author={Baranowski, E. and Bunte, K. and Shackleton, C. and Taylor, A. and Hughes, B. and Biehl, M. and Tino, P. and Guran, T. and Arlt, W.},
journal={Endocrine Abstracts},
volume={44},
pages={P40},
year={2016},
}
@article{moolla2016changing,
title={The changing steroid metabolome across the spectrum of non-alcoholic fatty liver disease.},
author={Moolla, A. and Amin, A. and Hughes, B. and Arlt, W. and {Hassan-Smith}, Z. and Armstrong, M. and Newsome, P. and Shah, T. and {Van~Gaal}, L. and Verrijken, A. and Francque, S. and Biehl, M. and Tomlinson, J.},
journal={Endocrine Abstracts},
volume={41},
pages={GP173},
year={2016},
}
@Proceedings{ Bhanot2016drops,
editor = {Bhanot, G. and Biehl, M. and Villmann, T. and Z{\"u}hlke, D.},
title = {Integration of Expert Knowledge for Interpretable Models in Biomedical Data Analysis {(Dagstuhl Seminar 16261)}},
journal = {Dagstuhl Reports},
issn = {2192-5283},
year = {2016},
volume = {6},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany}
}
@article{ schleif2016odor,
year={2016},
issn={1433-7541},
journal={Pattern Analysis and Applications},
doi={10.1007/s10044-014-0442-2},
title={Odor recognition in robotics applications by discriminative time-series modeling},
url={http://dx.doi.org/10.1007/s10044-014-0442-2},
publisher={Springer London},
keywords={Electronic nose; Volatile classification; Odor recognition; time-series; Prototype learning; Relevance learning},
author={Schleif, F.M. and Hammer, B. and Monroy, J.G. and Jimenez, J.G. and Blanco-Claraco, J.-L. and Biehl, M. and Petkov, N.},
volume={19},
issue={1},
pages={207-220},
}
@inproceedings{sugardataset2016miwoci,
title={{The sugar dataset - A multimodal hyperspectral
dataset for classification and research}},
author={Melchert, F. and Matros, A. and Biehl, M.
and Seiffert, U.},
booktitle={MIWOCI Workshop 2016},
editor = {F.M. Schleif and T. Villmann},
series={Machine Learning Reports},
volume={MLR-2016-03},
pages={15-18},
year={2016},
}
@Book{ smedinga2016scrug,
author = {R. Smedinga and M. Biehl and F. Kramer (eds.)},
title = {{SC@RUG} 2015--2016, Proc. of the 13th Student Colloquium
Computer Science},
publisher = {University of Groningen},
note = {60 pages},
year = { 2016 }
}
@Inproceedings{Mwebaze2015WSOM,
author="Mwebaze, E.
and Biehl, M.",
editor="Mer{\'e}nyi, Erzs{\'e}bet
and Mendenhall, J. Michael
and O'Driscoll, Patrick",
title="Prototype-Based Classification for Image Analysis and Its Application to Crop Disease Diagnosis",
booktitle="Advances in Self-Organizing Maps and Learning Vector Quantization: Proc.\ of the 11th Intl.\ Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016",
year="2016",
publisher="Springer",
address="Cham",
pages="329-339",
isbn="978-3-319-28518-4",
doi="10.1007/978-3-319-28518-4_29",
url="http://dx.doi.org/10.1007/978-3-319-28518-4_29"
}
@Inproceedings{MelchertWSOM2016,
author="Melchert, F.
and Seiffert, U.
and Biehl, M.",
editor="Mer{\'e}nyi, Erzs{\'e}bet
and Mendenhall, J. Michael
and O'Driscoll, Patrick",
title="Functional Representation of Prototypes in {LVQ} and {Relevance Learning}",
booktitle="Advances in Self-Organizing Maps and Learning Vector Quantization: Proc.\ of the 11th Intl.\ Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016",
year="2016",
publisher="Springer",
address="Cham",
pages="317-327",
isbn="978-3-319-28518-4",
doi="10.1007/978-3-319-28518-4_28",
url="http://dx.doi.org/10.1007/978-3-319-28518-4_28"
}
@Inproceedings{Gay2016,
author="Gay, M.
and Kaden, M.
and Biehl, M.
and Lampe, A.
and Villmann, T.",
editor="Mer{\'e}nyi, Erzs{\'e}bet
and Mendenhall, J. Michael
and O'Driscoll, Patrick",
title="Complex Variants of {GLVQ} Based on {Wirtinger's} Calculus",
booktitle="Advances in Self-Organizing Maps and Learning Vector Quantization: Proc.\ of the 11th Intl.\ Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016",
year="2016",
publisher="Springer",
address="Cham",
pages="293-303",
isbn="978-3-319-28518-4",
doi="10.1007/978-3-319-28518-4_26",
url="http://dx.doi.org/10.1007/978-3-319-28518-4_26"
}
@Inproceedings{Mudali2016,
author="Mudali, D.
and Biehl, M.
and Leenders, K.L.
and Roerdink, J.B.T.M.",
editor="Mer{\'e}nyi, Erzs{\'e}bet
and Mendenhall, J. Michael
and O'Driscoll, Patrick",
title="{LVQ and SVM} Classification of {FDG-PET} Brain Data",
booktitle="Advances in Self-Organizing Maps and Learning Vector Quantization: Proc.\ of the 11th Intl.\ Workshop WSOM 2016, Houston, Texas, USA, January 6-8, 2016",
year="2016",
publisher="Springer",
address="Cham",
pages="205-215",
isbn="978-3-319-28518-4",
doi="10.1007/978-3-319-28518-4_18",
url="http://dx.doi.org/10.1007/978-3-319-28518-4_18"
}
@InProceedings{biehl2016ijcnn,
author= {M. Biehl and B.~Hammer and F.-M.~Schleif and P.~Schneider
and T.~Villmann},
title={ Stationarity of {Matrix Relevance LVQ}},
booktitle= {Proc. IEEE International Joint Conference on Neural Networks (IJCNN 2015)},
notes={8 pages},
publisher= {IEEE},
year={2016},
}
@INPROCEEDINGS{Schulz-CIDM2015,
author={Schulz, A. and Mokbel, B. and Biehl, M. and Hammer, B.},
booktitle={Computational Intelligence, 2015 IEEE Symposium Series on},
title={Inferring Feature Relevances From Metric Learning},
year={2015},
pages={1599-1606},
doi={10.1109/SSCI.2015.225},
month={Dec},
}
@article{chortis2015urine,
title={Urine steroid metabolomics as a novel diagnostic tool for early detection of recurrence in adrenocortical carcinoma. Presented at {BES 2015, Edinburgh, UK.}},
author={Chortis, V. and Bancos, I. and Lang, K. and Hughes, B. and O'Neil, D. and Taylor, A. and Fassnacht, M. and Bertherat, J. and Beuschlein, F. and Quinkler, M. and Vassiliadi, D. and Dennedy, M.C. and Mannelli, M. and Biehl, M. and Arlt, W.},
journal={Endocrine Abstracts},
volume={38},
pages={OC3-4},
year={2015},
publisher={bioscientifica}
}
@article{lang2015urine,
title={Urine steroid metabolomics as a diagnostic tool in primary aldosteronism. {Presented at BES 2015, Edinburgh, UK.}},
author={Lang, K. and Beuschlein, F. and Biehl, M. and Dietz, A. and Riester, A. and Hughes, B.A. and {O'Neil}, D.M. and Hahner, S. and Quinkler, M. and Lenders, J.W. and Shackleton, C. and Reincke, M. and Arlt, W.},
journal={Endocrine Abstracts},
volume={38},
pages={OC1-6},
year={2015},
publisher={bioscientifica}
}
@article{taylor2015further,
title={Further advances in diagnosis of adrenal cancer: a high-throughput urinary steroid profiling method using liquid chromatography tandem mass spectrometry {(LC-MS/MS)}. {Presented at Society for Endocrinology BES 2015, Edinburgh, UK.}},
author={Taylor, A. and Bancos, I. and Chortis, V. and Lang, K. and {O'Neil}, D. and Hughes, B. and Jenkinson, C. and Deeks, J. and Shackleton, C. and Biehl, M. and Arlt, W.},
journal={Endocrine Abstracts},
volume={38},
pages={OC2.3},
year={2015},
publisher={bioscientifica}
}
@article{Giotis2015mednode,
author = {I. Giotis and N. Molders and S. Land and
M. Biehl and M.F. Jonkman and N. Petkov},
title = {{MED-NODE: a computer-assisted melanoma
diagnosis system using non-dermascopic images}},
journal = {Expert Systems with Applications},
year = {2015},
volume = {42},
pages = {6578-6585},
}
@ARTICLE{DeWiljes2015frontiers,
AUTHOR={O. De Wiljes and R.A.J. van~Elburg and M. Biehl
and F.A. Keijzer},
TITLE={Modeling spontaneous activity across an excitable epithelium
Support for a coordination scenario of early neural evolution},
JOURNAL={Frontiers in Computational Neuroscience},
VOLUME={9},
YEAR={2015},
NUMBER={110},
URL={http://www.frontiersin.org/computational_neuroscience/10.3389/fncom.2015.00110/abstract},
DOI={10.3389/fncom.2015.00110},
ISSN={1662-5188} ,
note ={12 pages, 5 pages supplement},
}
@inproceedings{melchert2015nc2,
title={Polynomial approximation of spectral data in {LVQ} and
{Relevance Learning}},
author={Melchert, F. and Seiffert, U. and Biehl, M.},
booktitle={GCPR Workshop on New Challenges in Neural Computation 2015},
editor = {Hammer, B. and Villmann, T.},
series={Machine Learning Reports},
volume={MLR-2015-03},
pages={25-32},
year={2015},
}
@ARTICLE{deVries2015IJSE,
TITLE = { Towards Emotion Classification Using Appraisal Modeling },
AUTHOR = { de Vries, J.J.G. and Lemmens, P.M.C. and Brokken, D. and Pauws, S.C. and Biehl, M. },
JOURNAL = { International Journal of Synthetic Emotions },
VOLUME = { 6 },
NUMBER = { 1 },
YEAR = { 2015 },
DOI = { 10.4018/IJSE.2015010103 },
PAGES = { 40-59 },
URL = { http://www.igi-global.com/article/towards-emotion-classification-using-appraisal-modeling/138578 },
}
@article{yeo2015rheumatic,
author = {L. Yeo and N. Adlard and M. Biehl and M. Juarez and T. Smallie and M. Snow and C.D. Buckley and
K. Raza and A. Filer and D. Scheel-Toellner},
journal = {Annals of the Rheumatic Diseases},
title = {{Expression of chemokines CXCL4 and CXCL7 by synovial macrophages defines an
early stage of rheumatoid athritis}},
year = {2015},
volume= {75},
issue = {4},
pages = {763-771},
}
@Book{ smedinga2015scrug,
author = {R. Smedinga and M .Biehl and F. Kramer (eds.)},
title = {{SC@RUG} 2014--2015, Proc. of the 12th Student Colloquium
Computer Science},
publisher = {University of Groningen},
note = {74 pages},
year = { 2015 }
}
@article{ biehl2015editorial,
author = {M. Biehl and A. Ghio and F.-M. Schleif},
journal = {Neurocomputing},
title = {{Editorial: Developments in computational intelligence and machine learning}},
year = {2015},
volume= {169},
pages={185-186},
}
@InProceedings{ mwebaze2015esann,
author = { E. Mwebaze and G. Bearda and M. Biehl and D. Z{\"u}hlke },
title = { {Combining dissimilarity measures for prototype-based classification}},
booktitle = { {{23rd} European Symposium on Artificial Neural Networks
(ESANN 2015)} },
editor = { M. Verleysen},
publisher = {d-side publishing},
year = { 2015 },
pages = {31-36},
}
@inproceedings{ devries2015CAIP,
author = {J. J. G. {de Vries} and S. C. Pauws and M. Biehl},
title = {{Facial Expression Recognition using Learning
Vector Quantization.}},
booktitle={{16th International Conference on Computer
Analysis of Images and Patterns (CAIP 2015)}},
year = {2015},
part={II},
series={Springer LNCS},
publisher={Springer},
volume= {9257},
pages = {760-772},
editor= {G. Azzopardi and N. Petkov},
}
@inproceedings{ villmann2015CAIP,
author = {T. Villmann and M. Kaden and D. Nebel
and M. Biehl},
title = {{Learning Vector Quantization with cost-based
outlier rejection.}},
booktitle={{16th International Conference on Computer
Analysis of Images and Patterns (CAIP 2015)}},
year = {2015},
part={II},
series={Springer LNCS},
publisher={Springer},
volume= {9257},
pages = {772-782},
editor= {G. Azzopardi and N. Petkov},
}
@article{ devries2015neurocomp,
author = {J. J. G. {de Vries} and S. C. Pauws and M. Biehl},
journal = {Neurocomputing},
title = {{Insightful stress detection from physiology modalities using {Learning Vector Quantization}}},
year = {2015},
volume= {151},
pages = {873-882},
}
@article{ lange2015neurocomp,
author = {M. Lange and M. Biehl and T. Villmann},
journal = {Neurocomputing},
title = {{Non-Euclidean Principal Component Analysis by Hebbian Learning}},
year = {2015},
volume= {147},
pages = {107-119},
}
@article{ bilal2015bioinf,
author = {Bilal, E. and Sakellaropoulos, T. and
{Challenge Participants$^*$}
and Melas, I.N. and Messinis, D.E. and Belcastro,
V. and Rhrissorrakrai, K. and Meyer, P. and Norel, R. and Iskandar, A. and Blaese, E. and Rice, J.J. and Peitsch, M.C. and Hoeng, J. and Stolovitzky, G. and Alexopoulos, L.G. and Poussin, C.},
title = {A crowd-sourcing approach for the construction of species-specific cell signaling networks},
volume = {31},
number = {4},
note ={\protect \newline $^*$ group author includes M. Biehl},
pages = {484-491},
year = {2015},
doi = {10.1093/bioinformatics/btu659},
eprint = {http://bioinformatics.oxfordjournals.org/content/31/4/484.full.pdf+html},
journal = {Bioinformatics}
}
@article{ dayarian2015bioinf,
author = {Dayarian, A. and Romero, R. and Wang, Z. and Biehl, M. and Bilal, E. and Hormoz, S. and Meyer, P. and Norel, R. and Rhrissorrakrai, K. and Bhanot, G. and Luo, F. and Tarca, A.L.},
title = {Predicting protein phosphorylation from gene expression: top methods from the {IMPROVER} Species Translation Challenge},
volume = {31},
number = {4},
pages = {462-470},
year = {2015},
doi = {10.1093/bioinformatics/btu490},
eprint = {http://bioinformatics.oxfordjournals.org/content/31/4/462.full.pdf+html},
journal = {Bioinformatics}
}
@article{ biehl2015bioinf,
author = {Biehl, M. and Sadowski, P. and Bhanot, G. and Bilal, E. and Dayarian, A. and Meyer, P. and Norel, R. and Rhrissorrakrai, K. and Zeller, M.D. and Hormoz, S.},
title = {Inter-species prediction of protein phosphorylation in the sbv {IMPROVER} species translation challenge},
volume = {31},
number = {4},
pages = {453-461},
year = {2015},
doi = {10.1093/bioinformatics/btu407},
eprint = {http://bioinformatics.oxfordjournals.org/content/31/4/453.full.pdf+html},
journal = {Bioinformatics}
}
@article{ hormoz2015bioinf,
author = {Hormoz, S. and Bhanot, G. and Biehl, M. and Bilal, E. and Meyer, P. and Norel, R. and Rhrissorrakrai, K. and Dayarian, A.},
title = {Inter-species inference of gene set enrichment in lung epithelial cells from proteomic and large transcriptomic datasets},
volume = {31},
number = {4},
pages = {492-500},
year = {2015},
doi = {10.1093/bioinformatics/btu569},
eprint = {http://bioinformatics.oxfordjournals.org/content/31/4/492.full.pdf+html},
journal = {Bioinformatics}
}
@article{ davis2014somatic,
title={The somatic genomic landscape of chromophobe renal cell carcinoma},
author={Davis, C.F. and Ricketts, C.J. and Wang, M. and Yang, L. and Cherniack, A.D. and Shen, H. and Buhay, C. and Kang, H. and Kim, S.C. and Fahey, C.C. and
K.E. Hacker and G. Bhanot and D.A. Gordenin and A. Chu and P.H. Gunaratne and M. Biehl and S. Seth
and B.A. Kaipparettu and C. A. Bristow and L.A. Donehower and E.M. Wallen and A.B. Smith and S.K. Tickoo
and P. Tamboli and V. Reuter and L.S. Schmidt and J.J. Hsieh and T.K. Choueiri and A.A. Hakimi and L. Chin and
M. Meyerson and R. Kucherlapati and W.-Y. Park and A.G. Robertson and P.W. Laird and E.P. Henske
and D.J. Kwiatkowski and P.J. Park and M. Morgan and B. Shuch and D. Muzny and D.A. Wheeler and
W.M. Linehan and R.A. Gibbs and W.K. Rathmell and C.J. Creighton and {The Cancer Genome Atlas Research Network}},
journal={Cancer cell},
volume={26},
number={3},
pages={319-330},
year={2014},
publisher={Cell Press}
}
@inproceedings{frenay2014CIDM,
title={Valid interpretation of feature relevance for linear data mappings},
author={Frenay, B. and Hofmann, D. and Schulz, A. and Biehl, M. and Hammer, B.},
booktitle={Computational Intelligence and Data Mining (CIDM), 2014 IEEE Symposium on},
pages={149-156},
year={2014},
organization={IEEE}
}
i@InProceedings{ biehl2014roc2,
title={Statistical Quality Measureas and
{ROC}-Optimization in {Learning Vector Quantization}},
author={Biehl, M. and Kaden, M. and and Villmann, T.},
booktitle= {{Statistical Computing 2014}},
editor = {Kestler, H.A. and Schmid, M. and Lausser, L. and Krauss, J.M.},
publisher = {Univerit\"at Ulm},
volume={2014-04},
pages={2-6},
year={2014},
}
@InProceedings{ biehl2014braininspired,
author = { M. Biehl and B. Hammer and T. Villmann},
title = { {Distance measures for prototype based classfication}},
booktitle = { {BrainComp 2013, Proc. International Workshop on Brain-Inspired Computing}, Cetraro/Italy, 2013},
publisher = {Springer},
series ={Lecture Notes in Computer Science},
volume = {8603},
pages={100-116},
editor= {L. Grandinetti and N. Petkov and T. Lippert},
year = {2014},
}
@InProceedings{ kruitbosch2014esann,
author = { H. Kruitbosch and I. Giotis and M. Biehl},
title = { {Segmented shape-symbolic time series representation}},
booktitle = { {{22nd} European Symposium on Artificial Neural Networks
(ESANN 2014)} },
editor = { M. Verleysen},
publisher = {d-side publishing},
year = { 2014 },
pages = {259-264},
}
@article{biehl2014roc,
title={{{ROC}-Optimization and Statistical Quality Measures in {Learning Vector Quantization} Classifiers}},
author={Biehl, M. and Kaden, M. and St{\"u}rmer, P. and Villmann, T.},
journal={Machine Learning Reports},
volume ={MLR-2014-01},
pages ={23-34},
year ={2014},
}
@article{schlulz2014interpretation,
title={Interpretation of linear mappings employing {L1} regularization (abstract)},
author={A. Schulz and D. Hofmann and M. Biehl and B. Hammer},
journal={Machine Learning Reports},
volume ={MLR-2014-01},
pages ={5-5},
year ={2014},
}
@InProceedings{ biehl2014wsom,
author = { M. Biehl},
title = { {Prototype-based classifiers and their application in the life sciences (abstract)}},
booktitle = { Advances in Self-Organizing Maps and Learning Vector Quantization,
Proc. of the 10th International Workshop, WSOM 2014},
editor = { T. Villmann and F.-M. Schleif and M. Kaden and M. Lange},
publisher = {Springer},
series ={Advances in Intelligent Systems and Computing},
volume = {295},
pages = {121-121},
year = { 2014 },
}
@Book{ smedinga2014scrug,
author = {R. Smedinga and M .Biehl and F. Kramer (eds.)},
title = {{SC@RUG} 2013--2014, Proc. of the 11th Student Colloquium
Computer Science},
publisher = {University of Groningen},
note = {72 pages},
year = { 2014 }
}
@Article{ alegre2013assessment,
title = {{Assessment of acrosome state in boar spermatozoa heads using
n-contours descriptor and RLVQ}},
author = {Alegre, E. and Biehl, M. and Petkov, N. and S{\'a}nchez,
L.},
journal = {Computer Methods and Programs in Biomedicine},
volume = {111},
pages = {525-536},
year = {2013},
}
@article{Giotis2013erratum,
author = {I. Giotis and K. Bunte and N. Petkov and M. Biehl},
title = {Erratum to: Adaptive Matrices and Filters for Color Texture Classification},
journal = {Journal of Mathematical Imaging and Vision},
publisher = {Springer Netherlands},
year = {2014},
volume = {48},
pages = {202-202},
}
@article{Giotis2013jmiv,
author = {I. Giotis and K. Bunte and N. Petkov and M. Biehl},
title = {Adaptive Matrices and Filters for Color Texture Classification},
journal = {Journal of Mathematical Imaging and Vision},
publisher = {Springer Netherlands},
year = {2013},
volume = {47},
pages = {79-92},
}
@inproceedings{biehl2013miwoci,
title={Two or three things we know about {LVQ} (abstract)},
author={M. Biehl},
booktitle = {{MIWOCI 2013, Mittweida Workshop on
Computational Intelligence}},
editor= {F.-M. Schleif and T. Villmann},
series={Machine Learning Reports},
volume={MLR-2013-04},
pages={71-74},
year={2013},
}
@InProceedings{ strickert2013ssci,
author = { M. Strickert and B. Hammer and T. Villmann and M. Biehl},
title = { {Regularization and improved interpretation of linear data mappings and adaptive distance measures}},
booktitle = { {Proc. IEEE Symposium Series on Computational Intelligence (SSCI 2013),
Singapore}},
publisher = {IEEE},
year = { 2013 },
pages = {10-17},
note = {published on USB-stick, 7 pages},
}
@InProceedings{ biehl2013esann,
author = { M. Lange and M. Biehl and T. Villmann},
title = { {Non-Euclidean Independent Component Analysis} and {Oja's Learning}},
booktitle = { {{21st} European Symposium on Artificial Neural Networks
(ESANN 2012)} },
editor = { M. Verleysen},
publisher = {d-side publishing},
year = { 2013 },
pages = {125-130},
}
@article{ biehl2012plosone,
author = {M. Biehl and K. Bunte and P. Schneider},
journal = {PLoS ONE},
publisher = {Public Library of Science},
title = {Analysis of Flow Cytometry Data by Matrix Relevance Learning Vector Quantization},
year = {2013},
volume = {8},
pages = {e59401},
number = {3},
doi = {10.1371/journal.pone.0059401}
}
@Article{ flowcap2013nature,
title={Critical assessment of automated flow cytometry data analysis techniques},
author={N. Aghaeepour and G. Finak and {The FlowCAP Consortium} and {The DREAM Consortium$^*$}
and H. Hoos and T.R. Mosmann and R. Brinkman and R. Gottardo and R.H. Scheuermann},
note= {($^*$ group author including M. Biehl)},
journal={Nature Methods},
volume={10},
number={3},
pages={228-238},
year={2013},
publisher={Nature Publishing Group}
}
\iffalse
% fully expanded author list
author= {
Nima Aghaeepour, Greg Finak, David Dougall, Alireza Hadj-Khodabakhshi, Phillip Mah, Gerlinde Obermoser, Josef Spidlen, Ian Taylor, Sherry A Wuensch, Jonathan Bramson, Connie Eaves, Andrew P. Weng, Edgardo S. Fortuno III, Kevin Ho, Tobias Kollmann, Wade Rogers, Stephen De Rosa, Bakul Dalal, Ariful Azad, Ale Pothen, Aaron Brandes, Hannes Bretschneider, Robert Bruggner, Rachel Finck, Robin Jia, Noah Zimmerman, Michael Linderman, David Dill, Garry Nolan, Cliburn Chan, Faysal El Khettabi, Kieran O'Neill, Maria Chikina, Arvind Gupta, Parisa Shooshtari, Habil Zare, Philip L. De Jager, Mike Jiang, Jose M. Maisog, Peter Majek, Jozef Vilcek, Tapio Manninen, Heikki Huttunen, Pekka Ruusuvuori, Matti Nykter, Geoffrey J. McLachlan, Kui Wang, Iftekhar Naim, Gaurav Sharma, Radina Nikolic, Saumyadipta Pyne, Yu Qian, Peng Qiu, John Quinn, Andrew Roth, Raquel Norel, Gustavo Stolovitzky, Pablo Meyer, Julio Saez-Rodriguez, Madhuchhanda Bhattacharjee, Michael Biehl, Philipp Bucher, Kerstin Bunte, Barbara Di Camillo, Slavica Dimitrieva, Jan Grau, Ivo Grosse, Stefan Posch, Nicolas Guex, Jens Keilwagen, Miron Kursa, Bo Liu, Mark Maienschein-Cline, Tapio Manninen, Geoffrey J. McLachlan, Kui Wang, Saumyadipta Pyne, Peng Qiu, Petra Schneider, Michael Seifert, Marc Strickert, Jose M. G. Vilar, Holger Hoos, Tim Mosmann, Ryan Brinkman, Raphael Gottardo, and Richard H. Scheuermann},
\fi
@InProceedings{ biehl2012wsom,
author = { M. Biehl and M. K{\"a}stner and M. Lange and T. Villmann},
title = { {Non-Euclidean Principal Component Analysis} and {Oja's} Rule - Theoretical Aspects},
booktitle = { Advances in Self-Organizing Maps, Proc. of the 9th Workshop on Self-Organizing Maps (WSOM 2012)},
editor = { P.A. Estevez},
publisher = {Springer Berlin Heidelberg},
year = { 2013 },
pages = {23-33},
}
@Book{ smedinga2012scrug,
author = {R. Smedinga and M .Biehl and F. Kramer (eds.)},
title = {{SC@RUG} 2011--2012, Proc. of the 9th Student Colloquium
Computer Science},
publisher = {University of Groningen},
note = {57 pages},
year = { 2012}
}
@InProceedings{ kaestner2012icmla,
author={M. K{\"a}stner and D. Nebel and M. Riedel and M. Biehl and T. Villmann},
booktitle={Machine Learning and Applications (ICMLA), 2012 11th International Conference on},
title={Differentiable Kernels in {Generalized Matrix Learning Vector Quantization}},
year={2012},
volume={1},
pages={132-137},
publisher={IEEE Conference Publications},
url = {http://dx.doi.org/10.1109/ICMLA.2012.231},
}
@InProceedings{ peters2012tsos,
author = { G. Peters and K. Bunte and M. Strickert and M. Biehl and T. Villmann},
title = { Visualization of Processes in Self-Learning Systems},
booktitle = { Proc. of the Third Workshop on Trustworthy Self-Organizing Systems (TSOS 2012)
at the Tenth Annual Conference on Privacy, Security, and Trust, Paris, July 2012},
year = { 2012 },
pages = {244-249},
publisher = {IEEE},
}
@article{Huber2012aim,
author = {M.B. Huber and K. Bunte and M.B. Nagarajan and M. Biehl and A. Wism{\"u}ller},
title = {Texture feature ranking with relevance learning to classify interstitial lung disease patterns},
journal = {Artificial Intelligence in Medicine},
volume = {56},
pages = {91-97},
year ={2012},
url = {http://http://dx.doi.org/10.1016/j.artmed.2012.07.001},
}
@InProceedings{ biehl2012ijcnn,
author = { M. Biehl and K. Bunte and F.-M. Schleif and P. Schneider and T. Villmann },
title = { Large Margin Discriminative Visualization by Matrix Relevance Learning },
booktitle = { Proc. Intl. Joint Conference on Neural Networks (IJCNN), World Congress on Computational Intelligence (WCCI)},
editor = { H. Abbass and D. Essam and R. Sarker},
year = { 2012 },
pages = { 1873-1880},
% publisher = { IEEE },
note = { published on USB-stick },
url = {http://dx.doi.org/10.1109/IJCNN.2012.6252627},
}
@Article{ biehl2012KI,
author = {Biehl, M.},
title = {Admire {LVQ} — Adaptive Distance Measures in Relevance {Learning Vector Quantization}},
journal = {KI - K{\"u}nstliche Intelligenz},
publisher = {Springer Berlin / Heidelberg},
volume = {26},
pages = {391-395},
year = {2012},
url = {http://dx.doi.org/10.1007/s13218-012-0188-1},
}
@Article{ bunte2012framework,
title = {A general framework for dimensionality reducing data
visualization mapping},
author = {Bunte, K. and Biehl, M. and Hammer, B.},
journal = {Neural Computation},
pages = {771-804},
volume = {24},
year = {2012}
}
@Article{ bunte2012liram,
title = {Limited rank matrix learning, discriminative dimension
reduction, and visualization},
author = {Bunte, K. and Schneider, P. and Hammer, B. and Schleif,
F.-M. and Villmann, T. and Biehl, M.},
journal = {Neural Networks},
pages = {159-173},
volume = {26},
year = {2012}
}
@Article{ kaestner2012functional,
title = {Functional Relevance Learning in {Generalized Learning
Vector Quantization}},
author = {M. K{\"a}stner and B. Hammer and M. Biehl and T. Villmann},
journal = {Neurocomputing},
volume = {90},
pages = {85-95},
year = {2012}
}
@Article{ bunte2012sne,
title = {Stochastic Neighbor Embedding {(SNE)} for Dimension
Reduction and Visualization using arbitrary Divergences},
author = {K. Bunte and S. Haase and M. Biehl and T. Villmann},
journal = {Neurocomputing},
volume = {90},
pages = {23-45},
year = {2012}
}
@InProceedings{ mokbel2012esann,
author = { B. Mokbel and W. Lueks and A. Gisbrecht and M. Biehl and
B. Hammer },
title = {Visualizing the quality of dimensionality reduction },
editor = { M. Verleysen },
booktitle = { {{20th} European Symposium on Artificial Neural Networks
(ESANN 2012)} },
year = { 2012 },
publisher = { d-side publishing },
pages = { 179-184 }
}
@InProceedings{ bunte2012esann,
author = { K. Bunte and F.-M. Schleif and M. Biehl },
title = { Adaptive learning for complex-valued data },
editor = { M. Verleysen },
booktitle = { {{20th} European Symposium on Artificial Neural Networks
(ESANN 2012)} },
year = { 2012 },
publisher = { d-side publishing },
pages = { 387-392 }
}
@InProceedings{ biehl2012esann,
author = { M. Biehl and P. Schneider and D. Smith and H. Stiekema
and A. Taylor and B. Hughes and C. Shackleton and P.
Stewart and W. Arlt },
title = { Matrix relevance {LVQ} in steroid metabolomics based
classification of adrenal tumors},
editor = { M. Verleysen },
booktitle = { {{20th} European Symposium on Artificial Neural Networks
(ESANN 2012)} },
year = { 2012 },
publisher = { d-side publishing },
pages = { 423-428 }
}
@Article{ bunte2011neighborxom,
title = {Neighbor embedding {XOM} for dimension reduction and
visualization},
author = {Bunte, K. and Hammer, B. and Villmann, T. and Biehl, M.
and Wism{\"u}ller, A.},
journal = {Neurocomputing},
volume = {74},
pages = {1340-1350},
year = {2011},
publisher = {Elsevier}
}
@Article{ mwebaze2011divergence,
title = {Divergence based classification and {Learning Vector
Quantization}},
author = {Mwebaze, E. and Schneider, P. and Schleif, F.-M. and
Aduwo, J. R. and Quinn, J. A. and Haase, S. and Villmann, T.
and Biehl, M. },
journal = {Neurocomputing},
volume = {74},
pages = {1429-1435},
year = {2011},
publisher = {Elsevier}
}
@Article{ bunte2011colorfeatures,
title = {Learning effective color features for content based image
retrieval in dermatology},
author = {Bunte, K. and Biehl, M. and Jonkman, M.F. and Petkov, N.},
journal = {Pattern Recognition},
pages = {1892-1902},
volume = {44},
year = {2011},
publisher = {Elsevier}
}
@Article{ arltbiehl2011jcem,
title = {Urine steroid metabolomics as a biomarker tool for
detecting malignancy in adrenal tumors},
author = {W. Arlt and M. Biehl and A. E. Taylor and S. Hahner and R.
Libe and B. A. Hughes and P. Schneider and D. J. Smith and H.
Stiekema and N. Krone and E. Porfiri and G. Opocher and J.
Bertherat and F. Mantero and B. Allolio and M. Terzolo and
P. Nightingale and C. H. L. Shackleton and X. Bertagna and M.
Fassnacht and P. M. Stewart },
journal = {J Clinical Endocrinology and Metabolism},
volume = {96},
pages = {3775-3784},
year = {2011}
}
@InProceedings{ bunte2011caip,
author = { K. Bunte and I. Giotis and N. Petkov and M. Biehl },
title = { Adaptive Matrices for Color Texture Classification },
booktitle = {{Computer Analysis of Images and Patterns, CAIP 2011,
Sevilla,Spain, Proc. Part II} },
editor = {P. Real and D. Diaz-Pernil and H. Molina-Abril and A.
Berciano and W.G. Kropatsch},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {6855},
pages = {489-497},
year = { 2011 }
}
@InProceedings{ mwebaze2011esann,
author = { Mwebaze, E. and Quinn, J. and Biehl, M. },
title = { Causal relevance learning for robust classification under
inventions },
editor = { M. Verleysen },
booktitle = {{{19th} European Symposium on Artificial Neural Networks
(ESANN 2011)} },
year = { 2011 },
publisher = { d-side publishing },
pages = { 315-320 }
}
@InProceedings{ quinn2011esann,
author = { Quinn, J. and Mooij, J. and Heskes, T. and Biehl, M. },
title = { Learning of Causal Relations},
editor = { M. Verleysen },
booktitle = {{{19th} European Symposium on Artificial Neural Networks
(ESANN 2011) }},
year = { 2011 },
publisher = { d-side publishing },
pages = { 287-296 }
}
@InProceedings{ bunte2011esann,
author = { Bunte, K. and Biehl, M. and Hammer, B. },
title = { Supervised dimension reduction mappings},
editor = { M. Verleysen },
booktitle = {{{19th} European Symposium on Artificial Neural Networks
(ESANN 2011)} },
year = { 2011 },
publisher = { d-side publishing },
pages = { 281-286 }
}
@InProceedings{ kaestner2011esann,
author = { K{\"a}stner, M. and Hammer, B. and Biehl, M. and
Villmann, T. },
title = { Generalized functional relevance {Learning Vector
Quantization}},
editor = { M. Verleysen },
booktitle = {{{19th} European Symposium on Artificial Neural Networks
(ESANN 2011)} },
year = { 2011 },
publisher = { d-side publishing },
pages = { 93-98 }
}
@InProceedings{ schneider2011esann,
author = { Schneider, P. and Geweniger, T. and Schleif, F.-M. and
Biehl, M. and Villmann, T. },
title = { Multivariate class labeling in {Robust Soft LVQ} },
editor = { M. Verleysen },
booktitle = { {{19th} European Symposium on Artificial Neural Networks
(ESANN 2011)} },
year = { 2011 },
publisher = { d-side publishing },
pages = { 17-22 }
}
@InProceedings{ bunte2011cdimparis,
author = { Bunte, K. and Biehl, M. and Hammer, B.},
title = { Dimensionality reduction maps},
publisher = { {IEEE} },
booktitle = {{IEEE Symp. on Computational Intelligence and Data Mining
SSCI 2011 CDIM, Paris} },
year = { 2011 },
pages = {349-356}
}
@InProceedings{ huber2011spie,
author = {Huber, M.B. and Bunte, K. and Nagajaran, M.B. and Biehl,
M. and Ray, L.A. and Wism{\"u}ller, A.},
title = { Texture Feature Ranking with Relevance Learning to
Classify Interstitial Lung Disease Patterns },
booktitle = {{Medical Imaging 2011: Computer Aided Diagnostics}},
series = {{SPIE Conference Proceedings} },
volume = {7963 (43)},
year = { 2011 },
note = {8 pages}
}
@InProceedings{ hammer2011wsom,
author = {B. Hammer and M. Biehl and K. Bunte and Bassam Mokbel},
booktitle = {Advances in Self-Organizing Maps, Proc. 8th Intl. Workshop
on Selforganizing Maps (WSOM 2011)},
editor = {Jorma Laaksonen and Timo Honkela},
pages = {277-287},
publisher = {Springer},
series = {Lecture Notes in Computer Science },
volume = {6731},
title = {A general framework for dimensionality reduction for large
data sets},
year = {2011}
}
@article{ kaestnerl2011mlr,
author = { M. K{\"a}stner and T. Villmann and M. Biehl },
title = { About Sparsity in Functional Relevance Learning in
Generalized Learning Vector Quantization},
volume = { MLR-03-2011 },
url = {http://www.techfak.uni-bielefeld.de/~fschleif/mlr/mlr_03_2011.pdf
},
journal = { Machine Learning Reports },
institution = {Machine Learning Reports, University of Bielefeld},
year = { 2011 }
}
@InProceedings{ papari2011waypoint,
author = {G. Papari and K. Bunte and M. Biehl},
booktitle = {MIWOCI 2011, Mittweida Workshop on Computational
Intelligence},
editor = {F.-M. Schleif and T. Villmann},
pages = {16-26},
publisher = {Univ. of Bielefeld},
series = {Machine Learning Reports},
volume = {MLR-2011-06},
title = {Waypoint averaging and step size control in learning by
gradient descent (technical report)},
year = {2011}
}
@InProceedings{ lueks2011evaluate,
author = {W. Lueks and B. Mokbel and M. Biehl and B. Hammer},
booktitle = {Workshop New Challenges in Neural Computation},
editor = {B. Hammer and T. Villmann},
pages = {29-37},
publisher = {Univ. of Bielefeld},
series = {Machine Learning Reports},
volume = {MLR-2011-05},
title = {How to evaluate Dimensionality Reduction (technical
report)},
year = {2011}
}
@Book{ smedinga2011scrug,
author = {R. Smedinga and M. Biehl and F. Kramer (eds.)},
title = {{SC@RUG} 2010--2011, Proc. of the 8th Student Colloquium
Computer Science},
publisher = {University of Groningen},
note = {123 pages},
year = { 2011 }
}
@Proceedings{ biehl2011drops,
editor = {M. Biehl and B. Hammer and E. Mer{\'e}nyi and A. Sperduti
and T. Villman},
title = {Learning in the context of very high dimensional data
{(Dagstuhl Seminar 11341)}},
pages = {67--95},
journal = {Dagstuhl Reports},
issn = {2192-5283},
year = {2011},
volume = {1},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany}
}
@Article{ offringa2010postcorrelation,
title = {Post-correlation radio frequency interference
classification methods},
author = {Offringa, A. and {de Bruyn}, G. and Biehl, M. and Zaroubi,
S. and Bernardi, G. and Pandey, V.},
journal = {Monthly Notices of the Royal Astronomical Society},
volume = {405},
pages = {155-167},
year = {2010}
}
@Article{ witoelar2010window,
title = {Window-based example selection in {Learning Vector
Quantization}},
author = {Witoelar, A. and Ghosh, A. and {de Vries}, J. J. G. and
Hammer, B. and Biehl, M.},
journal = {Neural Computation},
volume = {22},
pages = {2942-2961},
year = {2010},
publisher = {MIT Press}
}
@Article{ schneider2010hyperparameter,
title = {Hyperparameter learning in probabilistic prototype-based
models},
author = {Schneider, P. and Biehl, M. and Hammer, B.},
journal = {Neurocomputing},
volume = {73},
number = {7-9},
pages = {1117-1124},
issn = {0925-2312},
year = {2010},
publisher = {Elsevier}
}
@Article{ schneider2010regularization,
title = {Regularization in matrix relevance learning},
author = {Schneider, P. and Bunte, K. and Stiekema, H. and Hammer,
B. and Villmann, T. and Biehl, M.},
journal = {Neural Networks, IEEE Transactions on},
volume = {21},
number = {5},
pages = {831-840},
issn = {1045-9227},
year = {2010},
publisher = {IEEE}
}
@Article{ bunte2010dimension,
title = {Adaptive local dissimilarity measures for discriminative
dimension reduction of labeled data},
author = {Bunte, K. and Hammer, B. and Wism{\"u}ller, A. and Biehl,
M.},
journal = {Neurocomputing},
volume = {73},
number = {7-9},
pages = {1074-1092},
issn = {0925-2312},
year = {2010},
publisher = {Elsevier}
}
@InProceedings{ mwebaze2010esann,
author = { E. Mwebaze and P. Schneider and F.-M. Schleif and S.
Haase and T. Villmann and M. Biehl },
title = { Divergence Based {Learning Vector Quantization} },
editor = { M. Verleysen },
booktitle = {{ {18th} European Symposium on Artificial Neural Networks
(ESANN 2010)} },
year = { 2010 },
publisher = { d-side publishing },
pages = { 247-252 }
}
@InProceedings{ bunte2010esann,
author = { K. Bunte and B. Hammer and T. Villmann and M. Biehl and
A. Wism{\"u}ller },
title = { Exploratory Observation Machine ({XOM}) with
{Kullback-Leibler} Divergence for Dimensionality Reduction
and Visualization },
editor = { M. Verleysen },
booktitle = {{{18th} European Symposium on Artificial Neural Networks
(ESANN 2010) }},
year = { 2010 },
publisher = { d-side publishing },
pages = { 87-92 }
}
@InProceedings{ villman2010annpr,
author = { T. Villmann and S. Haase and F.-M. Schleif and B. Hammer
and M. Biehl },
title = { The mathematics of divergence based online learning in
{Vector Quantization} },
editor = {Schwenker, F. and {El Gayar}, N.},
booktitle = {{ {4th} International Workshop on Artificial Neural
Networks in Pattern Recognition (ANNPR 2010)} },
series = { Lecture Notes in Artificial Intelligence },
volume = { 5998 },
year = { 2010 },
publisher = { Springer },
pages = { 108-119 }
}
@InProceedings{ schleif2010ideal,
author = { F.-M. Schleif and T. Villmann and B. Hammer and P.
Schneider and M. Biehl },
title = { Generalized derivative based kernelized {Learning Vector
Quantization} },
editor = { C. Fyfe and P. Tino and D. Charles and C. Garcia-Osoro
and H. Yin },
booktitle = {{ Proc. Intelligent Data Engineering and Automated
Learning, IDEAL 2010} },
year = { 2010 },
publisher = { Springer },
series = { Lecture Notes in Computer Science },
volume = { 6283 },
pages = { 21-28 }
}
@InProceedings{ offringa2010rfi,
author = { A. R. Offringa and A. G. de Bruyn and S. Zaroubi and M.
Biehl },
title = { A {LOFAR} {RFI} detection pipeline and its first results
},
booktitle = {{ RFI mitigation workshop - RFI 2010,
University of Groningen }},
year = { 2010 },
publisher = { SISSA },
series = { Proceedings of Science },
volume = { POS(RFI2010)036 },
note = {http://pos.sissa.it, 10 pages }
}
@InProceedings{ wiljes2010alife,
author = { O. de Wiljes and R. A. J. van Elburg and M. Biehl and F.
Keijzer },
title = { Early Nervous Systems: Theoretical Background and a
Preliminary Model of Neuronal Processes (extended abstract)
},
editor = { H. Fellermann and M. D{\"o}rr and M. M. Hanczyc and L.L.
Laursen and S. Maurer and D. Merkle and P.-A. Monnard and
K. Stoy and S. Rasmussen },
booktitle = {{ Proc. of the 12th Intl. Conf. on the Synthesis of Living
Systems, Artificial Life XII }},
year = { 2010 },
publisher = { MIT Press },
series = { E-Book Open Access },
isbn = { 978-0-262-29075-3 },
pages = { 239-240 }
}
@InProceedings{ hammer2010drops,
author = { B. Hammer and K. Bunte and M. Biehl },
title = { Some steps towards a general principle for dimensionality
reduction mappings },
editor = { B. Hammer and P. Hitzler and W. Maas and M. Toussaint },
booktitle = { Learning paradigms in dynamic environments },
year = { 2010 },
publisher = { Dagstuhl Research Online Publication Server },
url = { http://drops.dagstuhl.de },
series = { Dagstuhl Seminar Proceedings },
volume = { 10302 },
pages = { 15 }
}
@article{ bunte2010mlr,
author = { K. Bunte and S. Haase and M. Biehl and T. Villmann},
title = { Mathematical foundations of {Self-Organized Neighbor
Embedding (SONE)} for dimension reduction and vusualization },
volume = { MLR-2010-03 },
url = {
http://www.uni-leipzig.de/$\sim$compint/mlr/mlr_03_2010.pdf
},
journal = { Machine Learning Reports },
institution = {Machine Learning Reports, University of Leipzig },
year = { 2010 },
note = {21 pages}
}
@Misc{ arlt2010bes,
author = { A. Taylor and M. Biehl and B. Hughes and H. Stiekema and
P. Schneider and D. Smith and P. Nightingale and C.
Shackleton and P. Stewart and W. Arlt },
title = { Development of urinary steroid profiling as a
high-throughput screening tool for the detection of
malignancy in patients with adrenal tumours },
howpublished = { British Endocrine Society, Endocrine {Abstracts} 21,
{OC3.3} },
year = { 2010 }
}
@Book{ smedinga2010scrug,
author = {R. Smedinga and M. Biehl and F. Kramer (eds.)},
title = { {SC@RUG} 2009--2010, Proc. of the 7th Student Colloquium
Computer Science },
publisher = {University of Groningen},
note = {46 pages},
year = { 2010 }
}
@Article{ schleif2009editorial,
title = {Editorial: Advances in Machine Learning and Computational
Intelligence},
author = {Schleif, F.-M. and Biehl, M. and Vellido, A.},
journal = {Neurocomputing},
volume = {72},
pages = {1377-1378},
year = {2009},
publisher = {Elsevier}
}
@Article{ schneider2009necomatrix,
title = {Adaptive relevance matrices in {Learning Vector
Quantization}},
author = {Schneider, P. and Biehl, M. and Hammer, B.},
journal = {Neural Computation},
volume = {21},
number = {12},
pages = {3532-3561},
year = {2009},
publisher = {MIT Press}
}
@Article{ schneider2009necodistance,
title = {Distance learning in discriminative vector quantization},
author = {Schneider, P. and Biehl, M. and Hammer, B.},
journal = {Neural Computation},
volume = {21},
number = {10},
pages = {2942-2969},
year = {2009},
publisher = {MIT Press}
}
@Article{ witoelar2009phasetransitions,
title = {Phase transitions in vector quantization and neural gas},
author = {Witoelar, A. and Biehl, M.},
journal = {Neurocomputing},
volume = {72},
number = {7-9},
pages = {1390-1397},
issn = {0925-2312},
year = {2009},
publisher = {Elsevier}
}
@InProceedings{ bunte2009esannvisu,
author = { K. Bunte and B. Hammer and P. Schneider and M. Biehl },
title = { Nonlinear Discriminative Data Visualization },
booktitle = {{ {17th} European Symposium on Artificial Neural Networks
(ESANN 2009)} },
pages = { 65-70 },
editor = { M. Verleysen },
publisher = { d-side publishing },
year = { 2009 }
}
@InProceedings{ bunte2009esannderma,
author = { K. Bunte and M. Biehl and N. Petkov and M. F. Jonkman },
title = { Adaptive Metrics for Content Based Image Retrieval in
Dermatology },
booktitle = {{ {17th} European Symposium on Artificial Neural Networks
(ESANN 2009) }},
pages = { 129-134 },
editor = { M. Verleysen },
publisher = { d-side publishing },
year = { 2009 }
}
@InProceedings{ schneider2009esann,
author = { P. Schneider and M. Biehl and B. Hammer },
title = { Hyperparameter Learning in {Robust Soft LVQ} },
booktitle = {{ {17th} European Symposium on Artificial Neural Networks
(ESANN 2009)} },
pages = { 517-522 },
editor = { M. Verleysen },
publisher = { d-side publishing },
year = { 2009 }
}
@InProceedings{ witoelar2009esann,
author = { A. Witoelar and M. Biehl and B. Hammer },
title = { Equilibrium Properties of Offline {LVQ} },
booktitle = {{ {17th} European Symposium on Artificial Neural Networks
(ESANN 2009)} },
pages = { 535-540 },
editor = { M. Verleysen },
publisher = { d-side publishing },
year = { 2009 }
}
@InProceedings{ bunte2009caip,
author = { K. Bunte and M. Biehl and B. Hammer },
title = { Nonlinear Dimension Reduction and Visualization of
Labeled Data },
booktitle = {{ Proc. Computer Analysis of Images and Patterns (CAIP
2009, M{\"u}nster/Germany)} },
pages = { 1162-1170 },
series = { Lecture Notes in Computer Science },
volume = { 5702 },
publisher = { Springer },
year = { 2009 }
}
@InProceedings{ strickert2009iwann,
author = { M. Strickert and J. Keilwagen and F.-M. Schleif and T.
Villmann and M. Biehl },
title = { Matrix Metric Adaptation for Improved Linear Discriminant
Analysis of Biomedical Data },
booktitle = {{ {10th} Int. Work-Conference on Artificial Neural
Networks (IWANN 2009)} },
pages = { 933-940 },
editor = { J. Cabestany {et. al.} },
publisher = { Springer },
series = { Lecture Notes in Computer Science },
volume = { 5517 },
year = { 2009 }
}
@InCollection{ biehl2009statmechonline,
author = { M. Biehl and N. Caticha and P. Riegler },
title = { Statistical Mechanics of Online Learning },
booktitle = { Similarity Based Clustering },
pages = { 1-22 },
series = { Lecture Notes in Artificial Intelligence },
volume = { 5400 },
editor = { M. Biehl and B. Hammer and T. Villmann and M. Verleysen
},
publisher = { Springer },
year = { 2009 }
}
@InCollection{ villmann2009theoreticalaspects,
author = { T. Villmann and B. Hammer and M. Biehl },
title = { Some theoretical aspects of the {Neural Gas Vector
Quantizer} },
booktitle = { Similarity Based Clustering },
pages = { 23--34 },
series = { Lecture Notes in Artificial Intelligence },
volume = { 5400 },
editor = { M. Biehl and B. Hammer and T. Villmann and M. Verleysen
},
publisher = { Springer },
year = { 2009 }
}
@InCollection{ biehl2010metriclearning,
author = { M. Biehl and B. Hammer and P. Schneider and T. Villmann
},
title = { Metric Learning for Prototype-based classification },
booktitle = { Advances in Neural Information Paradigms },
pages = { 183--199 },
series = { Springer Studies in Computational Intelligence },
volume = { 247 },
editor = { M. Bianchini and M. Maggini and F. Scarselli and L. Jain
},
publisher = { Springer },
year = { 2009 }
}
@article{ geweniger2009mlr,
author = { T. Geweniger and P. Schneider and F.-M. Schleif and M.
Biehl and T. Villmann },
title = { Extending {RSLVQ} to handle data points with uncertain
class assignments },
volume = { MLR-02-2009 },
url = {
http://www.uni-leipzig.de/$\sim$compint/mlr/mlr_02_2009.pdf
},
journal = { Machine Learning Reports },
institution = {Machine Learning Reports, University of Leipzig },
year = { 2009 }
}
@article{ biehl2009mlr,
author = { M. Biehl and B. Hammer and F.-M. Schleif and P. Schneider
and T. Villmann },
title = { Stationarity of {Matrix Relevance Learning Vector
Quantization} },
volume = { MLR-01-2009 },
url = {
http://www.uni-leipzig.de/$\sim$compint/mlr/mlr_01_2009.pdf
},
journal = { Machine Learning Reports },
institution = {Machine Learning Reports, University of Leipzig },
year = { 2009 }
}
@Misc{ arlt2009bes,
author = { W. Arlt and S. Hahner and R. Libe and B. A. Hughes and M.
Biehl and H. Stiekema and P. Schneider and D. J. Smith and
C. H. L. Shackleton and G. Opocher and J. Bertherat and B.
Allolio and M. Mannelli and F. Mantero and M. Fassnacht and
X. Bertegna and P. M. Stewart },
title = { Urinary steroid profiling as a biomarker tool for the
detection of adrenal malignancy -- results of the {EURINE
ACC} study },
howpublished = { British Endocrine Society, Endocrine {Abstracts} 19, OC14
},
year = { 2009 }
}
@Book{ biehl2009similarity,
title = { Similarity based clustering - recent developments and
biomedical applications },
series = { Lecture Notes in Artificial Intelligence },
publisher = { Springer },
volume = { 5400 },
year = { 2009 },
author = { M. Biehl and B. Hammer and M. Verleysen and T. Villmann},
note = {201 pages}
}
@Proceedings{ biehl2009drops,
editor = { M. Biehl and B. Hammer and S. Hochreiter and S. C. Kremer
and T. Villmann },
title = { Similarity-based learning on structures },
series = {Dagstuhl Seminar Proceedings ({DROPS})},
publisher = { Dagstuhl Research Online Publication Server },
issn = {1862-4405},
volume = {09081},
year = { 2009 }
}
@Article{ rossi2008editorial,
title = {Editorial: Progress in Modeling, Theory, and Application
of Computational Intelligence},
author = {Rossi, F. and Biehl, M. and {Angulo Bahon}, C.},
journal = {Neurocomputing},
volume = {71},
pages = {1117-1119},
year = {2008},
publisher = {Elsevier}
}
@Article{ witoelar2008neuralgas,
title = {Learning dynamics and robustness of vector quantization
and neural gas},
author = {Witoelar, A. and Biehl, M. and Ghosh, A. and Hammer, B.},
journal = {Neurocomputing},
volume = {71},
number = {7-9},
pages = {1210-1219},
issn = {0925-2312},
year = {2008},
publisher = {Elsevier}
}
@Article{ alegre2008automatic,
title = {Automatic classification of the acrosome status of boar
spermatozoa using digital image processing and {LVQ}},
author = {Alegre, E. and Biehl, M. and Petkov, N. and S{\'a}nchez,
L.},
journal = {Computers in Biology and Medicine},
volume = {38},
number = {4},
pages = {461-468},
issn = {0010-4825},
year = {2008},
publisher = {Elsevier}
}
@Article{ weber2008nanopatterns,
title = {Simulation of self-assembled nano-patterns in strained
{2D} alloys on the fcc(111) surface},
author = {Weber, S. and Biehl, M. and Kinzel, W. and Kotrla, M.},
journal = {Journal of Physics: Cond. Matter},
volume = {20},
pages = {Art. No. 265004},
year = {2008},
publisher = {IOP Publishing}
}
@InProceedings{ schneider2008esann,
author = { P. Schneider and F.-M. Schleif and T. Villmann and M.
Biehl },
title = { {Generalized Matrix Learning Vector Quantization} for the analysis of spectral
data},
editor = { M. Verleysen },
booktitle = {{{16th} European Symposium on Artificial Neural Networks
(ESANN 2008)} },
year = { 2008 },
publisher = { d-side publishing },
pages = { 451-456 }
}
@InProceedings{ witoelar2008esann,
author = { A. Witoelar and A. Ghosh and M. Biehl },
title = { Phase transitions in {Vector Quantization} },
editor = { M. Verleysen },
booktitle = {{{16th} European Symposium on Artificial Neural Networks
(ESANN 2008)} },
year = { 2008 },
publisher = { d-side publishing },
pages = { 221-226 }
}
@InProceedings{ strickert2008annpr,
author = { M. Strickert and P. Schneider and J. Keilwagen and T.
Villmann and M. Biehl and B. Hammer},
title = { Discriminatory data mapping by matrix-based supervised
learning metrics },
editor = {L. Provost and S. Marinai and F. Schwenker},
booktitle = {{ Proc. Third Intl. Workshop on Artificial Neural Networks
in Pattern Recognition (ANNPR 2008)} },
series = { Lecture Notes in Computer Science },
volume = { 5064 },
year = { 2008 },
publisher = { Springer },
pages = { 78-89 }
}
@InProceedings{ strickert2008wcsb,
author = { M. Strickert and K. Witzel and J. Keilwagen and H. P. Mock
and P. Schneider and M. Biehl and T. Villmann},
title = { Adaptive Matrix Metrics for attribute dependence analysis
in differential high-throughput data },
editor = {M. Ahdesm{\"a}ki et al.},
booktitle = {{ Fifth International Workshop on Computational Systems
Biology {(WCSB 2008)} }},
series = { TICSP Series},
volume = {41},
year = { 2008 },
publisher = { Tampere International Center for Signal Processing },
pages = { 181-184 }
}
@article{ biehl2008matrix,
author = { P. Schneider and M. Biehl and B. Hammer },
title = { Matrix adaptation in discriminative vector quantization
},
journal = { IFL Technical Report Series},
number = {ifl-08-08},
institution = {Technical University Clausthal},
year = {2008}
}
@article{ schneider2008mlr,
title = {Regularization in {Matrix Relevance Learning}},
author = {Schneider, P. and Bunte, K. and Stiekema, H. and Hammer,
B. and Villmann, T. and Biehl, M.},
journal = {Machine Learning Reports},
volume = {MLR-02-2008},
url = {http://www.uni-leipzig.de/$\sim$compint/mlr/mlr_02_2008.pdf
},
institution = {Machine Learning Reports, University of Leipzig},
year = {2008}
}
@article{ bunte2008mlr,
title = {Discriminative visualization by limited rank matrix
learning},
author = {Bunte, K. and Schneider, P. and Hammer, B. and Schleif,
F.-M. and Villmann, T. and Biehl, M.},
journal = {Machine Learning Reports},
volume = {MLR-03-2008},
url = {http://www.uni-leipzig.de/$\sim$compint/mlr/mlr_03_2008.pdf
},
institution = {Machine Learning Reports, University of Leipzig},
year = {2008}
}
@Article{ biehl2007editorial,
title = {Editorial: Advances in computational intelligence and
learning},
author = {Biehl, M. and Mer{\'e}nyi, E. and Rossi, F.},
journal = {Neurocomputing},
volume = {70},
pages = {1117-1119},
year = {2007},
publisher = {Elsevier}
}
@Article{ walther2007formation,
title = {Formation and consequences of misfit dislocations in
heteroepitaxial growth},
author = {Walther, M. and Biehl, M. and Kinzel, W.},
journal = {Physica Status Solidi (C)},
volume = {4},
number = {9},
pages = {3210-3220},
issn = {1610-1642},
year = {2007},
publisher = {Wiley}
}
@Article{ biehl2007dynamics,
title = {Dynamics and generalization ability of {LVQ algorithms}},
author = {Biehl, M. and Ghosh, A. and Hammer, B.},
journal = {The Journal of Machine Learning Research},
volume = {8},
pages = {323-360},
issn = {1532-4435},
year = {2007},
publisher = {MIT Press}
}
@InProceedings{ biehl2007ideal,
author = { M. Biehl and R. Breitling and Y. Li },
title = { Analysis of Tiling Microarray Data by {Learning Vector
Quantization} and Relevance Learning},
editor = { Hujun Yin and Peter Tino and Emilio Corchado and Will
Byrne and Xin Yao},
booktitle = { Proc. Intelligent Data Engineering and Automated
Learning, IDEAL 2007 },
year = { 2007 },
publisher = { Springer },
series = {Lecture Notes in Computer Science},
volume = {4881},
pages = { 880-889 }
}
@InProceedings{ kotrla2007brno,
author = { M. Kotrla and S. Weber and F. Much and M. Biehl and W.
Kinzel},
title = { Self-organised nano-patterns in strained 2D metallic
alloys: droplets vs. stripes},
booktitle = { Proc. NANO'07 conference in Brno/Cz },
year = { 2007 },
series = {Acta Metallurgica Slovaca},
volume = {13},
pages = { 70-75 }
}
@InProceedings{ witoelar2007wsom,
title = {{Learning Vector Quantization}: generalization ability and
dynamics of competing prototypes},
author = {Witoelar, A. and Biehl, M. and Hammer, B.},
booktitle = {Proc. 6th Intl. Workshop on Self-Organizing-Maps (WSOM
2007)},
publisher = { Univ. Bielefeld, Germany},
howpublished = {published on CD},
note = {6 pages},
year = {2007}
}
@InProceedings{ schneider2007wsom,
title = {Advanced metric adaptation in {Generalized LVQ} for
classification of mass spetrometry data},
author = {P. Schneider and M. Biehl and F.-M. Schleif and B.
Hammer},
booktitle = {Proc. 6th Intl. Workshop on Self-Organizing-Maps (WSOM
2007)},
publisher = {Univ. Bielefeld, Germany},
howpublished = {published on CD},
note = {5 pages},
year = {2007}
}
@InProceedings{ witoelar2007esann,
author = { A. Witoelar and M. Biehl and B. Hammer },
title = { On the dynamics of Vector Quantization and Neural Gas },
editor = { M. Verleysen },
booktitle = {{{15th} European Symposium on Artificial Neural Networks
(ESANN 2007)} },
year = { 2007 },
publisher = { d-side publishing },
pages = { 127-133 }
}
@InProceedings{ schneider2007esann,
author = { P. Schneider and M. Biehl and B. Hammer},
title = { Relevance matrices in {LVQ} },
editor = { M. Verleysen },
booktitle = {{{15th} European Symposium on Artificial Neural Networks
(ESANN 2007)} },
year = { 2007 },
publisher = { d-side publishing },
pages = { 37-43 }
}
@InProceedings{ petkov2007compimage,
author = { N. Petkov and E. Alegre and M. Biehl and L. Sanchez },
title = { {LVQ} acrosome integrity assessment of boar sperm cells},
editor = { J.M.R.S. Tavares and R.M.N. Jorge },
booktitle = { Computational Modeling of Objects Represented in Images,
Proc. {CompImage} Symposium 2006 },
year = { 2007 },
publisher = { Taylor and Francis },
pages = { 337-342 }
}
@Proceedings{ biehl2007drops,
title = { Similarity-based clustering and its application to
medicine and biology },
series = { Dagstuhl Seminar Proceedings {(DROPS)}},
publisher = { Dagstuhl Research Online Publication Server },
volume = { 07131 },
issn = {1862-4405},
year = { 2007 },
editor = { M. Biehl and B. Hammer and M. Verleysen and T. Villmann
}
}
@Article{ ghosh2006performance,
title = {Performance analysis of {LVQ} algorithms: A statistical
physics approach},
author = {Ghosh, A. and Biehl, M. and Hammer, B.},
journal = {Neural Networks},
volume = {19},
number = {6-7},
pages = {817-829},
issn = {0893-6080},
year = {2006},
publisher = {Elsevier}
}
@Article{ biehl2006wta,
title = {Learning {Vector Quantization}: The dynamics of
{Winner-Takes-All} algorithms},
author = {Biehl, M. and Ghosh, A. and Hammer, B.},
journal = {Neurocomputing},
volume = {69},
number = {7-9},
pages = {660-670},
issn = {0925-2312},
year = {2006},
publisher = {Elsevier}
}
@InProceedings{ biehl2006esann,
author = { M. Biehl and P. Pasma and M. Pijl and L. Sanchez and N.
Petkov},
title = { Classification of boar sperm head images using {Learning
Vector Quantization} },
editor = { M. Verleysen },
booktitle = {{{14th} European Symposium on Artificial Neural Networks
(ESANN 2006)} },
year = { 2006 },
publisher = { d-side publishing },
pages = { 545-551 }
}
@article{ biehl2006matrix,
author = { M. Biehl and B. Hammer and P. Schneider },
title = { Matrix learning in {Learning Vector Quantization} },
journal = {IFL Technical Report Series},
number = {ifl-06-14},
institution = {Technical Unversity Clausthal},
year = {2006}
}
@Article{ bunzmann2005pre,
title = {Efficient training of multilayer perceptrons using
principal component analysis},
author = {Bunzmann, C. and Biehl, M. and Urbanczik, R.},
journal = {Physical Review E},
volume = {72},
number = {2},
pages = {Art. No. 026117},
year = {2005},
publisher = {APS}
}
@Article{ volkmann2005interplay,
title = {Interplay of strain relaxation and chemically induced
diffusion barriers: nano-structure formation in {2D
alloys}},
author = {Volkmann, T. and Much, F. and Biehl, M. and Kotrla, M.},
journal = {Surface Science},
volume = {586},
pages = {157-173},
year = {2005}
}
@InCollection{ biehl2005quantumdots,
author = { M. Biehl and F. Much},
title = { Off-lattice {KMC} simulations of
{Stranski-Krastanov}-like growth },
editor = { B. Joyce and P. Kelires and A. Naumovets and D. D.
Vvedensky },
booktitle = { Quantum Dots: Fundamentals, Applications, and Frontiers
({NATO} Advanced Research Workshop 2003) },
year = { 2005 },
publisher = { Springer },
series = { NATO Science Series II: Mathematics, Physics, and
Chemistry},
volume = {190},
pages = { 89-102 }
}
@InProceedings{ biehl2005wsom,
author = { M. Biehl and A. Ghosh and B. Hammer},
title = { Dynamical analysis of {LVQ} type learning rules },
editor = { M. Cottrell },
booktitle = { Proc. 5th Intl. Workshop on Self-Organising Maps (WSOM
2005) },
year = { 2005 },
publisher = { Univ. de Paris I },
pages = { 587-594 }
}
@InProceedings{ biehl2005esann,
author = { M. Biehl and A. Ghosh and B. Hammer},
title = { The dynamics of {Learning Vector Quantization} },
editor = { M. Verleysen },
booktitle = {{{13th} European Symposium on Artificial Neural Networks
(ESANN 2005)} },
year = { 2005 },
publisher = { d-side publishing },
pages = { 13-19 }
}
@InCollection{ biehl2005latticegas,
author = { M. Biehl},
title = { Lattice gas models and Kinetic Monte Carlo simulations of
epitaxial growth },
editor = { A. Voigt },
booktitle = { Multiscale Modeling in Epitaxial Growth },
year = { 2005 },
publisher = { Birkhaeuser },
series = { Int. Series of Numerical Mathematics },
volume = {149},
pages = { 3-18 }
}
@InCollection{ biehl2005offlattice,
author = { M. Biehl and F. Much and C. Vey},
title = { Off-lattice {Kinetic Monte Carlo} simulations of strained
heteroepitaxial growth },
editor = { A. Voigt },
booktitle = { Multiscale Modeling in Epitaxial Growth },
year = { 2005 },
publisher = { Birkhaeuser },
series = { Int. Series of Numerical Mathematics },
volume = {149},
pages = { 41-57 }
}
@Article{ volkmann2004kinetic,
title = {Kinetic model of {II-VI(001)} semiconductor surfaces:
growth rates in {Atomic Layer Epitaxy}},
author = {Volkmann, T. and Ahr, M. and Biehl, M.},
journal = {Physical Review B},
volume = {69},
pages = {Art. No. 165303},
year = {2004},
publisher = {APS}
}
@article{ ghosh2004framework,
author = { A. Ghosh and M. Biehl and A. Freking and G. Reents },
institution = {Mathematics and Computer Science, University of
Groningen},
number = {2004-9-02},
title = { A theoretical framework for analysing the dynamics of
{LVQ} },
url = {http://www.cs.rug.nl/~biehl},
year = {2004}
}
@Misc{ biehl2004offlatticeabs,
author = { M. Biehl },
title = { Off-lattice {Kinetic Monte Carlo Simulation} of strained
hetero-epitaxial growth (abstract)},
howpublished = { {Oberwolfach Reports Vol. 1, European Mathematical
Society, p. 227-228}},
year = {2004}
}
@Misc{ biehl2004latticegasabs,
author = { M. Biehl },
title = { Lattice gas models and kinetic {Monte Carlo} simulations
of epitaxial crystal growth (abstract)},
howpublished = { {Oberwolfach Reports Vol. 1, European Mathematical
Society, p. 224-227}},
year = {2004}
}
@Article{ much2002stranski,
title = {Simulation of wetting-layer and island formation in
heteroepitaxial growth},
author = {Much, F. and Biehl, M.},
journal = {Europhysics Letters},
volume = {63},
pages = {14-20},
year = {2003},
publisher = {IOP Publishing}
}
@InProceedings{ biehl2003materials,
author = { M. Biehl and M. Ahr and W. Kinzel and F. Much },
title = { Kinetic Monte Carlo simulations of hetero-epitaxial
growth },
booktitle = { Proc. European Materials Research Society Meeting,
Strasbourg 2002},
series = {Thin Solid Films},
volume = {428},
pages = {52-55},
year = {2003}
}
@InProceedings{ kotrla2003brno,
author = { M. Kotrla and F. Much and T. Volkmann and M. Biehl },
title = { Mechanics of self-assembled nanostructures in
heteroepitaxy },
booktitle = { Proc. NANO'03 conference in Brno/Cz },
editor = {P. Sandera},
publisher = {FSI VUT Brno},
year = { 2003 },
pages = { 98-103 }
}
@InCollection{ biehl2003adaptivity,
author = { M. Biehl},
title = { The statistical physics of learning: phase transitions
and dynamical symmetry breaking},
editor = { R. K{\"u}hn and R. Menzel and W. Menzel and U. Ratsch and
M.M. Richter and I.-O. Stamatescu },
booktitle = { Adaptivity and learning, an interdisciplinary debate },
year = { 2003 },
publisher = { Springer },
pages = {89-101}
}
@InCollection{ biehl2003handbook,
author = { M. Biehl and N. Caticha},
title = { Statistical mechanics of on-line learning and
generalization },
editor = { M.A. Arbib },
booktitle = { Handbook of Brain Theory and Neural Networks (second
editon) },
year = { 2003 },
note = { 13 pages},
publisher = { MIT Press}
}
@Article{ ahr2002flat,
title = {Flat (001) surfaces of {II-VI} semiconductors: a lattice
gas model},
author = {Ahr, M. and Biehl, M.},
journal = {Surface Science},
volume = {505},
pages = {124-136},
issn = {0039-6028},
year = {2002}
}
@InCollection{ biehl2002terraces,
title = {Terrace sizes and particle currents in epitaxial growth},
author = {M. Biehl and W. Kinzel},
booktitle = {Proc. Intl. Symposium on Advanced Fluid Information,
Sendai/Japan, 2001},
series = {JSME Int. Journal B},
volume = {45},
pages = {112-116},
year = {2002}
}
@InCollection{ ahr2002compphys,
title = {Modeling (001) surfaces of {II-VI semiconductors}},
author = {M. Ahr and M. Biehl and T. Volkmann},
booktitle = {Proc. Conference on Computational Physics, Aachen 2001},
series = {Computer Physics Communications},
volume = {147},
pages = {107-110},
year = {2002}
}
@InCollection{ much2002compphys,
title = {A {Kinetic} {Monte Carlo} method for the simulation of
heteroepitaxial growth},
author = {F. Much and M. Ahr and M. Biehl and W. Kinzel},
booktitle = {Proc. Conference on Computational Physics, Aachen 2001},
series = {Computer Physics Communications},
volume = {147},
pages = {226-229},
year = {2002}
}
@InProceedings{ bunzmann2002esann,
author = { C. Bunzmann and M. Biehl and R. Urbanczik},
title = { Supervised learning in committee machines by PCA },
editor = { M. Verleysen },
booktitle = {{{10th} European Symposium on Artificial Neural Networks
(ESANN 2002)} },
year = { 2002 },
publisher = { d-side publishing },
pages = {125-130}
}
@Article{ floren2001ants,
title = {Anthropogenic disturbance changes the structure of
arboreal tropical ant communities},
author = {Floren, A. and Freking, A. and Biehl, M. and Linsenmair,
K. E.},
journal = {Ecography},
volume = {24},
number = {5},
pages = {547-554},
issn = {1600-0587},
year = {2001},
publisher = {Wiley}
}
@Article{ biehl2001latticegas,
title = {A lattice gas model of {II-VI (001)} semiconductor
surfaces},
author = {Biehl, M. and Ahr, M. and Kinzel, W. and Sokolowski, M.
and Volkmann, T.},
journal = {Europhysics Letters},
volume = {53},
pages = {169-175},
year = {2001},
publisher = {IOP Publishing}
}
@Article{ much2001dislocations,
title = {Kinetic {Monte Carlo} simulations of dislocations in
hetero-epitaxial growth},
author = {Much, F. and Ahr, M. and Biehl, M. and Kinzel, W.},
journal = {Europhysics Letters},
volume = {56},
pages = {791-796},
year = {2001},
publisher = {IOP Publishing}
}
@Article{ bunzmann2001prl,
title = {Efficiently learning multilayer perceptrons},
author = {Bunzmann, C. and Biehl, M. and Urbanczik, R.},
journal = {Physical Review Letters},
volume = {86},
pages = {2166-2169},
year = {2001},
publisher = {APS}
}
@Article{ ahr2001sublimation,
title = {Modelling sublimation and atomic layer epitaxy in the
presence of competing surface reconstructions},
author = {Ahr, M. and Biehl, M.},
journal = {Surface Science (Letters)},
volume = {488},
pages = {L553-L560},
year = {2001},
publisher = {Elsevier}
}
@Article{ biehl2001particlecurrents,
title = {Particle currents and the distribution of terrace sizes in
unstable epitaxial growth},
author = {Biehl, M. and Ahr, M. and Kinzel, W. and Schinzer, S.},
journal = {Physical Review B (Brief Reports)},
volume = {64},
number = {2},
pages = {Art. No. 113405},
year = {2001},
publisher = {APS}
}
@InCollection{ biehl2001minerva,
title = {Training multilayer percpetrons by {Principal Component
Analysis}},
author = {M. Biehl and C. Bunzmann and R. Urbanczik},
booktitle = {Proc. Minerva International Workshop on the Frontiers in
the Physics of Complex Systems 2001},
series = {Physica A},
volume = {302},
pages = {56-63},
year = {2001}
}
@Article{ biehl2000reinforcement,
title = {Learning structured data from unspecific reinforcement},
author = {{Biehl, M. and { K{\"u}hn}, R. and Stamatescu, I. O.}},
journal = {Journal of Physics A: Mathematical and General},
volume = {33},
pages = {6843-6857},
year = {2000},
publisher = {IOP Publishing}
}
@Article{ ahr2000crystallattice,
title = {The influence of the crystal lattice on coarsening in
unstable epitaxial growth},
author = {Ahr, M. and Biehl, M. and Kinne, M. and Kinzel, W.},
journal = {Surface Science},
volume = {465},
pages = {339-346},
year = {2000},
publisher = {IOP Publishing}
}
@Article{ ahr2000singularity,
title = {Singularity spectra of rough growing surfaces from wavelet
analysis},
author = {Ahr, M. and Biehl, M.},
journal = {Physical Review E},
volume = {62},
number = {2},
pages = {1773-1777},
year = {2000},
publisher = {APS}
}
@InCollection{ biehl2000dpg,
title = {Statistical physics of learning: phase transitions in
multilayered neural networks},
author = {M. Biehl and M. Ahr and E. Schl{\"o}sser},
booktitle = {Advances in Solid State Physics},
editor = { B. Kramer},
publisher = {Vieweg},
volume = {40},
pages = {819-826},
year = {2000}
}
@Article{ schloesser1999optimisationpca,
title = {Optimisation of on-line {Principal Component Analysis}},
author = {Schl{\"o}sser, E. and Biehl, M. and Saad, D.},
journal = {Journal of Physics A: Mathematical and General},
volume = {32},
pages = {4061-4067},
year = {1999},
publisher = {IOP Publishing}
}
@Article{ ahr1999noisy,
title = {Noisy regression and classification with continuous
multilayer networks},
author = {Ahr, M. and Biehl, M. and Urbanczik, R.},
journal = {Journal of Physics A: Mathematical and General},
volume = {32},
pages = {L531-L536},
year = {1999},
publisher = {IOP Publishing}
}
@Article{ ahr1999practical,
title = {Statistical physics and practical training of
soft-committee machines},
author = {Ahr, M. and Biehl, M. and Urbanczik, R.},
journal = {The European Physical Journal B-Condensed Matter and
Complex Systems},
volume = {10},
number = {3},
pages = {583-588},
issn = {1434-6028},
year = {1999},
publisher = {Springer}
}
@Article{ freking1999receiver,
title = {Receiver operating characteristics of perceptrons: the
influence of sample size and prevalence},
author = {Freking, A. and Biehl, M. and Braun, C. and Kinzel, W. and
Meesmann, M.},
journal = {Physical Review E},
volume = {60},
pages = {5926-5931},
year = {1999}
}
@Article{ ahr1999weightdecay,
title = {Weight decay induced phase transitions in multilayer
neural networks},
author = {Ahr, M. and Biehl, M. and Schl{\"o}sser},
journal = {Journal of Physics A: Mathematical and General},
volume = {32},
pages = {5003-5008},
year = {1999},
publisher = {IOP Publishing}
}
@Article{ schinzer1999unconventional,
title = {Unconventional {MBE} strategies from computer simulations
for optimized growth conditions},
author = {Schinzer, S. and Sokolowski, M. and Biehl, M. and Kinzel,
W.},
journal = {Physical Review B},
volume = {60},
pages = {2893-2899},
year = {1999}
}
@Article{ schinzer1999roleofsed,
title = {The role of step edge diffusion in epitaxial crystal
growth},
author = {Schinzer, S. and Kinne, M. and Biehl, M and Kinzel, W.},
journal = {Surface Science},
volume = {439},
pages = {191-198},
year = {1999},
publisher = {Elsevier}
}
@InCollection{ biehl1999evaporation,
title = {Evaporation and step edge diffusion in {MBE}},
author = {S. Schinzer and M. Sokolowski and M. Biehl and W. Kinzel},
booktitle = {Proc. {10th} Intl. Conference on Molecular Beam Epitaxy},
series = {J. Cryst. Growth},
volume = {201},
pages = {85-87},
year = {1999}
}
@InCollection{ biehl1999simplesed,
title = {A simple model of epitaxial growth: the influence of step
edge diffusion},
author = {Biehl, M. and Kinne, M. and Kinzel, W. and Schinzer, S.},
booktitle = {Proc. Conference on Compuational Physics, Granada/Spain
1998},
series = {Computer Physics Communications},
volume = {121},
pages = {347-352},
year = {1999}
}
@InCollection{ biehl1999softcommittee,
title = {Phase transitions in soft-committee machines (abstract)},
author = {Biehl, M. and Ahr, M. and Schl{\"o}sser, E.},
booktitle = {Proc. Conference on Compuational Physics, Granada/Spain
1998},
series = {Computer Physics Communications},
volume = {121-122},
pages = {614},
year = {1999}
}
@Article{ rosenzvi1998periodic,
title = {Learnability of periodic activation functions: General
results},
author = {Rosen-Zvi, M. and Biehl, M. and Kanter, I.},
journal = {Physical Review E},
volume = {58},
number = {3},
pages = {3606-3609},
year = {1998},
publisher = {APS}
}
@Article{ biehl1998phasetransitions,
title = {Phase transitions in soft-committee machines},
author = {Biehl, M. and Schl{\"o}sser, E. and Ahr, M.},
journal = {Europhysics Letters},
volume = {44},
pages = {261-267},
year = {1998},
publisher = {IOP Publishing}
}
@Article{ biehl1998pca,
title = {The dynamics of on-line {Principal Component Analysis}},
author = {Biehl, M. and Schl{\"o}sser, E. },
journal = {Journal of Physics A: Mathematical and General},
volume = {31},
pages = {L97-L103},
year = {1998},
publisher = {IOP Publishing}
}
@Article{ biehl1998simplemodel,
title = {A simple model of epitaxial growth},
author = {Biehl, M. and Kinzel, W. and Schinzer, S.},
journal = {Europhysics Letters},
volume = {41},
pages = {443-448},
year = {1998},
publisher = {IOP Publishing}
}
@InCollection{ biehl1998minerva,
author = { M. Biehl and A. Freking and G. Reents and E.
Schl{\"o}sser},
title = { Specialization processes in on-line unsupervised
learning},
booktitle = { Proc. Minerva Workshop on Mesoscopics, Fractals and
Neural Networks, 1997},
year = { 1998 },
series = {Philosophical Magazine Part B},
pages = {1487-1494},
volume = {77}
}
@InCollection{ biehl1998online,
author = { M. Biehl and A. Freking and M. H{\"o}lzer and G. Reents
and E. Schl{\"o}sser},
title = { On-line learning of prototypes and principal components},
editor = { D. Saad},
booktitle = { On-line learning in neural networks },
year = { 1998 },
publisher = { Cambridge Unversity Press },
pages = {231-250}
}
@Article{ copelli1997noise,
title = {Noise robustness in multilayer neural networks},
author = {Copelli, M. and Eichhorn, R. and Kinouchi, O. and Biehl,
M. and Simonetti, R. and Riegler, P. and Caticha, N.},
journal = {Europhysics Letters},
volume = {37},
pages = {427-432},
year = {1997},
publisher = {IOP Publishing}
}
@Article{ biehl1997comment,
title = {Comment on {On-line Gibbs Learning}},
author = {Biehl, M. and Riegler, P.},
journal = {Physical Review Letters},
volume = {78},
pages = {4305-4305},
year = {1997}
}
@Article{ biehl1997competitive,
title = {Dynamics of on-line competitive learning},
author = {Biehl, M. and Freking, A. and Reents, G.},
journal = {Europhysics Letters},
volume = {38},
pages = {73-78},
year = {1997},
publisher = {IOP Publishing}
}
@Article{ biehl1996transient,
title = {Transient dynamics of on-line learning in two-layered
neural networks},
author = {Biehl, M. and Riegler, P. and W{\"o}hler, C.},
journal = {Journal of Physics A: Mathematical and General},
volume = {29},
pages = {4769-4780},
year = {1996},
publisher = {IOP Publishing}
}
@InProceedings{ riegler1996wirn,
author = { P. Riegler and M. Biehl and S. A. Solla and C. Marangi },
title = { On-line learning from clustered input examples},
booktitle = { Proc. {7th} Italian Workshop on Neural Networks WIRN
1995},
year = { 1996 },
editor = {M. Marinaro and R. Tagliaferri},
publisher = {World Scientific},
pages = {87-92}
}
@InProceedings{ marangi1996wirn,
author = { C. Marangi and S. A. Solla and M. Biehl and P. Riegler},
title = { Off-line learning from clustered input examples},
booktitle = { Proc. {7th} Italian Workshop on Neural Networks WIRN
1995},
year = { 1996 },
editor = {M. Marinaro and R. Tagliaferri},
publisher = {World Scientific},
pages = {105-110}
}
@Article{ biehl1995noisy,
title = {Learning from noisy data: an exactly solvable model},
author = {Biehl, M. and Riegler, P. and Stechert, M.},
journal = {Physical Review E},
volume = {52},
number = {5},
pages = {R4624--R4627},
issn = {1550-2376},
year = {1995},
publisher = {APS}
}
@Article{ biehl1995gradient,
title = {Learning by on-line gradient descent},
author = {Biehl, M. and Schwarze, H.},
journal = {Journal of Physics A: Mathematical and General},
volume = {28},
pages = {643--656},
year = {1995},
publisher = {IOP Publishing}
}
@Article{ marangi1995clustered,
title = {Supervised learning from clustered input examples},
author = {Marangi, C. and Biehl, M. and Solla, S. A.},
journal = {Europhysics Letters},
volume = {30},
pages = {117-122},
year = {1995},
publisher = {IOP Publishing}
}
@Article{ riegler1995backprop,
title = {On-line backpropagation in two-layered neural networks},
author = {Riegler, P. and Biehl, M.},
journal = {Journal of Physics A: Mathematical and General},
volume = {28},
pages = {L507-L513},
year = {1995},
publisher = {IOP Publishing}
}
@InProceedings{ biehl1995versionspace,
author = { M. Biehl and M. Opper },
title = { Perceptron learning: the largest version space},
booktitle = { Proc. Workshop on Neural Networks: The Statistical
Mechanics Perspective},
year = { 1995 },
pages = {59-72},
editor = {C. Kwon and J.-H. Oh and S. Cho},
publisher = {World Scientific}
}
@Article{ biehl1994exactlyunsupervised,
title = {An exactly solvable model of unsupervised learning},
author = {Biehl, M.},
journal = {Europhysics Letters},
volume = {25},
pages = {391-396},
year = {1994},
publisher = {IOP Publishing}
}
@Article{ biehl1994structure,
title = {Statistical mechanics of unsupervised structure
recognition},
author = {Biehl, M. and Mietzner, A.},
journal = {Journal of Physics A: Mathematical and General},
volume = {27},
pages = {1885-1897},
year = {1994},
publisher = {IOP Publishing}
}
@Article{ biehl1994onlineperc,
title = {{On-line} learning with a perceptron},
author = {Biehl, M. and Riegler, P.},
journal = {Europhysics Letters},
volume = {28},
pages = {525-530},
year = {1994},
publisher = {IOP Publishing}
}
@Article{ watkin1993revmodphys,
title = {The statistical mechanics of learning a rule},
author = {Watkin, T. L. H. and Rau, A. and Biehl, M.},
journal = {Reviews of Modern Physics },
pages = {499-556},
volume = {65},
number = {2},
year = {1993}
}
@Article{ biehl1993construction,
title = {Construction algorithm for the parity-machine},
author = {Biehl, M. and Opper, M.},
journal = {Physica A: Statistical Mechanics and its Applications},
volume = {193},
number = {3-4},
pages = {307-313},
issn = {0378-4371},
year = {1993},
publisher = {Elsevier}
}
@Article{ biehl1993drifting,
title = {Learning drifting concepts with neural networks},
author = {Biehl, M. and Schwarze, H.},
journal = {Journal of Physics A: Mathematical and General},
volume = {26},
pages = {2651-2665},
year = {1993},
publisher = {IOP Publishing}
}
@Article{ biehlmietzner1994unsupervised,
title = {Statistical mechanics of unsupervised learning},
author = {Biehl, M. and Mietzner, A.},
journal = {Europhysics Letters},
volume = {24},
pages = {421-426},
year = {1993},
publisher = {IOP Publishing}
}
@Article{ biehl1992timedependent,
title = {On-line learning of a time-dependent rule},
author = {Biehl, M. and Schwarze, H.},
journal = {Europhysics Letters},
volume = {20},
pages = {733-738},
year = {1992},
publisher = {IOP Publishing}
}
@Article{ biehl1991tilinglike,
title = {Tilinglike learning in the parity machine},
author = {Biehl, M. and Opper, M.},
journal = {Physical Review A},
volume = {44},
number = {10},
pages = {6888-6894},
year = {1991},
publisher = {APS}
}
@InProceedings{ biehl1991adatron,
author = { M. Biehl and J. K. Anlauf and W. Kinzel},
title = { Perceptron learning by constrained optimization: the
{AdaTron} algorithm},
booktitle = { Neurodynamics: Proc. {9th} Summer Workshop on
Mathematical Physics, Arnold Sommerfeld Institut,
Clausthal, 1990 },
year = { 1991 },
pages = {194-210},
editor = {F. Pasemann and H.D. Doebner},
publisher = {World Scientific}
}
@InProceedings{ biehl1990properties,
author = { J. K. Anlauf and M. Biehl},
title = { Properties of an adaptive perceptron algorithm},
booktitle = {Parallel processing in neural networks and computers},
year = { 1990 },
editor = {R. Eckmiller and G. Hartmann and G. Haucke},
pages = {153-156},
publisher = {Elsevier}
}
@Article{ anlauf1990erratum,
title = {Erratum: The {AdaTron}: an adaptive perceptron algorithm},
author = {Anlauf, J. K. and Biehl, M.},
journal = {Europhysics Letters},
volume = {11},
pages = {387-387},
year = {1990},
publisher = {IOP Publishing}
}
@Article{ anlauf1989adatron,
title = {The {AdaTron}: an adaptive perceptron algorithm},
author = {Anlauf, J. K. and Biehl, M.},
journal = {Europhysics Letters},
volume = {10},
pages = {687-692},
year = {1989},
publisher = {IOP Publishing}
}