2014

1. Computing a Second Opinion: Automated Reasoning and Statistical Inference applied to Medical Data (A. Emerencia), Rijksuniversiteit Groningen, 2014.

   BibTeX

   
   @phdthesis{emerencia2014:thesis, title = {Computing a Second Opinion: Automated Reasoning and Statistical Inference applied to Medical Data}, author = {A. Emerencia}, year = {2014}, isbn = {978-90-367-7090-3}, publisher = {Rijksuniversiteit Groningen}, url = {https://www.rug.nl/research/portal/files/13135714/20140627_Thesis_Emerencia.pdf}, }

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2. From the Grid to the Smart Grid, Topologically (G. A. Pagani), Rijksuniversiteit Groningen, 2014.

   BibTeX

   
   @phdthesis{pagani2014:thesis, title = {From the Grid to the Smart Grid, Topologically}, author = {G. A. Pagani}, year = {2014}, isbn = {978-90-367-8288-3}, publisher = {Rijksuniversiteit Groningen}, url = {https://www.rug.nl/research/portal/files/14426146/Thesis-Pagani.pdf}, }

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3. Dynamic Rule-Based Reasoning in Smart Environments (V. Degeler), Rijksuniversiteit Groningen, 2014.

   BibTeX

   
   @phdthesis{degeler2014:thesis, title = {Dynamic Rule-Based Reasoning in Smart Environments}, author = {V. Degeler}, year = {2014}, isbn = {978-90-367-7285-3}, publisher = {Rijksuniversiteit Groningen}, url = {http://www.rug.nl/research/portal/files/13810772/Complete_dissertation.pdf}, }

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4. Bringing adaptiveness & resilience to e-health (M. Aiello, A. Emerencia and H. Sol), Chapter in (N. Suri, G. Cabri, eds.), Auerbach Publication, CRC Press (Taylor + Francis Group), 2014.

   BibTeX

   
   @inbook{aiello2014:ehealth, title = {Bringing adaptiveness \& resilience to e-health}, publisher = {Auerbach Publication, CRC Press (Taylor + Francis Group)}, author = {M. Aiello and A. Emerencia and H. Sol}, year = {2014}, editor = {N. Suri and G. Cabri}, edition = {June 23, 2014}, booktitle = {Adaptive, Dynamic and Resilient Systems}, }

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5. The Impact of Topology on Energy Consumption for Collection Tree Protocols: An Experimental Assessment through Evolutionary Computation (D. Bucur, G. Iacca, G. Squillero and A. Tonda), In Applied Soft Computing, volume 16, 2014.

   BibTeX

   
   @article{bucur2014:ASOC, title = {The Impact of Topology on Energy Consumption for Collection Tree Protocols: An Experimental Assessment through Evolutionary Computation}, author = {D. Bucur and G. Iacca and G. Squillero and A. Tonda}, journal = {Applied Soft Computing}, year = {2014}, volume = {16}, number = {0}, pages = {210--222}, issn = {1568-4946}, doi = {http://dx.doi.org/10.1016/j.asoc.2013.12.002}, url = {http://www.sciencedirect.com/science/article/pii/S1568494613004213}, }

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6. Smart Education Modes and E-Learning Market: The Needs of the Next Generation (F. Alsaif), In Smart Learning Environments Journal, The State of the Art in Smart Learning Issue, Springer, 2014.

   BibTeX

   
   @article{alsaif2014:nextgeneration, title = {Smart Education Modes and E-Learning Market: The Needs of the Next Generation}, author = {F. Alsaif}, year = {2014}, journal = {Smart Learning Environments Journal, The State of the Art in Smart Learning Issue}, publisher = {Springer}, }

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7. Leefplezier: Personalized Well-being (F. Blaauw, L. van der Krieke, P. de Jonge and M. Aiello), In IEEE Intelligent Informatics Bulletin, volume 15, 2014.

   BibTeX

   
   @article{blaauw2014:leefplezier, title = {Leefplezier: Personalized Well-being}, author = {F. Blaauw and L. van der Krieke and P. de Jonge and M. Aiello}, journal = {IEEE Intelligent Informatics Bulletin}, year = {2014}, volume = {15}, number = {1}, pages = {28--29}, url = {http://www.comp.hkbu.edu.hk/~iib/2014/Dec/paper4/iib_vol15no1_paper4.pdf}, note = {Extended abstract}, }

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8. Power Grid Complex Network Evolutions for the Smart Grid (G. A. Pagani and M. Aiello), In Physica A: Statistical Mechanics and its Applications, volume 396, 2014.

   BibTeX

   
   @article{pagani2014:evolutions, author = {G. A. Pagani and M. Aiello}, title = {Power Grid Complex Network Evolutions for the Smart Grid}, journal = {Physica A: Statistical Mechanics and its Applications}, year = {2014}, pages = {248--266}, volume = {396}, number = {2}, url = {http://dx.doi.org/10.1016/j.physa.2013.11.022}, }

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9. Generating Realistic Dynamic Prices and Services for the Smart Grid (G. A. Pagani and M. Aiello), In IEEE Systems Journal, volume 9, 2014.

   BibTeX

   
   @article{pagani2014:prices, author = {G. A. Pagani and M. Aiello}, title = {Generating Realistic Dynamic Prices and Services for the Smart Grid}, journal = {IEEE Systems Journal}, year = {2014}, volume = {9}, number = {1}, pages = {191--198}, }

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10. E-Mental Health Self-Management for Psychotic Disorders: State of the Art and Future Perspectives (L. van der Krieke, L. Wunderink, A. Emerencia, P. de Jonge and S. Sjoerd), In Psychiatric Services, volume 65, 2014.

    BibTeX

    
    @article{krieke2014:perspectives, title = {E-Mental Health Self-Management for Psychotic Disorders: State of the Art and Future Perspectives}, author = {L. van der Krieke and L. Wunderink and A. Emerencia and P. de Jonge and S. Sjoerd}, year = {2014}, url = {http://dx.doi.org/10.1176/appi.ps.201300050}, volume = {65}, number = {1}, pages = {33--49}, journal = {Psychiatric Services}, }

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11. Automated Runtime Repair of Business Processes (N. R. T. P. van Beest, E. Kaldeli, P. Bulanov, J. C. Wortmann and A. Lazovik), In Inf. Syst., volume 39, 2014.

    BibTeX

    
    @article{vanbeest2013:repair, author = {N. R. T. P. van Beest and E. Kaldeli and P. Bulanov and J. C. Wortmann and A. Lazovik}, title = {Automated Runtime Repair of Business Processes}, journal = {Inf. Syst.}, volume = {39}, year = {2014}, pages = {45--79}, url = {http://dx.doi.org/10.1016/j.is.2013.07.003}, }

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12. Dynamic Constraint Satisfaction with Space Reduction in Smart Environments (V. Degeler and A. Lazovik), In International Journal on Artificial Intelligence Tools, volume 23, 2014.

    BibTeX

    
    @article{degeler2014:dynamic, author = {V. Degeler and A. Lazovik}, title = {Dynamic Constraint Satisfaction with Space Reduction in Smart Environments}, journal = {International Journal on Artificial Intelligence Tools}, year = {2014}, volume = {23}, number = {6}, url = {http://dx.doi.org/10.1142/S0218213014600276}, }

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13. Self-healing protocols for infrastructural networks (A. Scala, W. Quattrociocchi, G.A. Pagani and M. Aiello), In International Conference on Critical Information Infrastructures Security, 2014.

    BibTeX

    
    @inproceedings{scala2014:protocols, title = {Self-healing protocols for infrastructural networks}, author = {A. Scala and W. Quattrociocchi and G.A. Pagani and M. Aiello}, year = {2014}, booktitle = {International Conference on Critical Information Infrastructures Security}, }

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14. The Tradeoffs between Data Delivery Ratio and Energy Costs in Wireless Sensor Networks: A Multi-Objective Evolutionary Framework for Protocol Analysis (D. Bucur, G. Iacca, G. Squillero and A. Tonda), In Genetic and Evolutionary Computation Conferenc, 2014.

    BibTeX

    
    @inproceedings{bucur2014:framework, author = {D. Bucur and G. Iacca and G. Squillero and A. Tonda}, title = {The Tradeoffs between Data Delivery Ratio and Energy Costs in Wireless Sensor Networks: A Multi-Objective Evolutionary Framework for Protocol Analysis}, booktitle = {Genetic and Evolutionary Computation Conferenc}, year = {2014}, pages = {1071--1078}, url = {http://www.cs.rug.nl/~doina/2014-GECCO/GECCO14-Bucur.pdf}, }

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15. E-learning Quality Assurance Practices and Benchmarks in Higher Education (F. Alsaif), In World Conference on Educational Media and Technology, 2014.

    BibTeX

    
    @inproceedings{alsaif2014:elearning, author = {F. Alsaif}, title = {E-learning Quality Assurance Practices and Benchmarks in Higher Education}, booktitle = {World Conference on Educational Media and Technology}, year = {2014}, note = {1072--1078}, url = {http://www.editlib.org/p/147625}, }

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16. HowNutsAreTheDutch: Personalized feedback on a national scale (F. J. Blaauw, J. A. J. Van der Krieke, E. H. Bos, A. C. Emerencia, B. F. Jeronimus, H. M. Schenk, S. De Vos, K. J. Wardenaar, R. B. K. Wanders, J. T. W. Wigman, M. Aiello and P. De Jonge), In AAAI Fall Symposium on Expanding the Boundaries of Health Informatics Using AI, 2014.

    BibTeX

    
    @inproceedings{blaauw2014:feedback, author = {F. J. Blaauw and J. A. J. Van der Krieke and E. H. Bos and A. C. Emerencia and B. F. Jeronimus and H. M. Schenk and S. De Vos and K. J. Wardenaar and R. B. K. Wanders and J. T. W. Wigman and M. Aiello and P. De Jonge}, title = {HowNutsAreTheDutch: Personalized feedback on a national scale}, booktitle = {AAAI Fall Symposium on Expanding the Boundaries of Health Informatics Using AI}, series = {HIAI'14}, year = {2014}, pages = {6--10}, url = {http://www.aaai.org/ocs/index.php/FSS/FSS14/paper/download/9189/9109}, }

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17. Leefplezier: Personalized well-being (F. J. Blaauw, J. A. J. Van der Krieke, M. Aiello and P. De Jonge), In Doctoral Consortium of the IEEE International Conference on Healthcare Informatics, 2014.

    BibTeX

    
    @inproceedings{blaauw2014:wellbeing, author = {F. J. Blaauw and J. A. J. Van der Krieke and M. Aiello and P. De Jonge}, title = {Leefplezier: Personalized well-being}, booktitle = {Doctoral Consortium of the IEEE International Conference on Healthcare Informatics}, series = {ICHI 2014}, year = {2014}, }

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18. Gamification in a Consulting Company (F. J. Blaauw, L. Bazylevska and M. Aiello), In 7th GI Workshop on Autonomous Systems, 2014.

    BibTeX

    
    @inproceedings{blaauw2014:gamification, author = {F. J. Blaauw and L. Bazylevska and M. Aiello}, title = {Gamification in a Consulting Company}, booktitle = {7th GI Workshop on Autonomous Systems}, year = {2014}, pages = {128--139}, }

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19. GreenMind - An Architecture and Realization for Energy Smart Buildings (F. Nizamic, T. A. Nguyen, A. Lazovik and M. Aiello), In International Conference on ICT for Sustainability, 2014.

    BibTeX

    
    @inproceedings{nizamic2014:ict4s, author = {F. Nizamic and T. A. Nguyen and A. Lazovik and M. Aiello}, title = {GreenMind - An Architecture and Realization for Energy Smart Buildings}, booktitle = {International Conference on ICT for Sustainability}, year = {2014}, pages = {20--29}, url = {http://dx.doi.org/10.2991/ict4s-14.2014.3}, }

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20. Network Disruption and Recovery: Co-Evolution of Defender and Attacker in a Dynamic Game (H. Arnold, D. Masad, G. A. Pagani, J. Schmidt and E. Stepanova), In CompleNet 2014 5th Workshop on Complex Networks, 2014.

    BibTeX

    
    @inproceedings{arnold2014:evolution, author = {H. Arnold and D. Masad and G. A. Pagani and J. Schmidt and E. Stepanova}, title = {Network Disruption and Recovery: Co-Evolution of Defender and Attacker in a Dynamic Game}, booktitle = {CompleNet 2014 5th Workshop on Complex Networks}, year = {2014}, pages = {141--155}, url={http://dx.doi.org/10.1007/978-3-319-05401-8_14}, }

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21. Predicting New Collaborations in Academic Citation Networks of IEEE and ACM Conferences (I. A. Shah, M. U. Ilyas, M. Raja, S. Saleh, M. M. Khan, A. M. Qamar, M. Z. Shafiq, A. X. Liu and H. Radha), In International Conference on Social Computing, 2014.

    Abstract

    In this paper we study the time evolution of academic collaboration networks by predicting the appearance of new links between authors. The accurate prediction of new collaborations between members of a collaboration network can help accelerate the realization of new synergies, foster innovation, and raise productivity. For this study, the authors collected a large data set of publications from 630 conferences of the IEEE and ACM of more than 257, 000 authors, 61, 000 papers, capturing more than 818, 000 collaborations spanning a period of 10 years. The data set is rich in semantic data that allows exploration of many features that were not considered in previous approaches. We considered a comprehensive set of 98 features, and after processing identified eight features as significant. Most significantly, we identified two new features as most significant predictors of future collaborations; 1) the number of common title words, and 2) number of common references in two authors’ papers. The link prediction problem is formulated as a binary classification problem, and three different supervised learning algorithms are evaluated, i.e. Na¨ıve Bayes, C4.5 decision tree and Support Vector Machines. Extensive efforts are made to ensure complete spatial isolation of information used in training and test instances, which to the authors’ best knowledge is unprecedented. Results were validated using a modified form of the classic 10-fold cross validation (the change was necessitated by the way training, and test instances were separated). The Support Vector Machine classifier performed the best among tested approaches, and correctly classified on average more than 80% of test instances and had a receiver operating curve (ROC) area of greater than 0.80.

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    BibTeX

    
    @InProceedings{shah2014:socialcom, author = {I. A. Shah and M. U. Ilyas and M. Raja and S. Saleh and M. M. Khan and A. M. Qamar and M. Z. Shafiq and A. X. Liu and H. Radha}, booktitle = {International Conference on Social Computing}, title = {Predicting {N}ew {C}ollaborations in {A}cademic {C}itation {N}etworks of {IEEE} and {ACM} {C}onferences}, abstract = {In this paper we study the time evolution of academic collaboration networks by predicting the appearance of new links between authors. The accurate prediction of new collaborations between members of a collaboration network can help accelerate the realization of new synergies, foster innovation, and raise productivity. For this study, the authors collected a large data set of publications from 630 conferences of the IEEE and ACM of more than 257, 000 authors, 61, 000 papers, capturing more than 818, 000 collaborations spanning a period of 10 years. The data set is rich in semantic data that allows exploration of many features that were not considered in previous approaches. We considered a comprehensive set of 98 features, and after processing identified eight features as significant. Most significantly, we identified two new features as most significant predictors of future collaborations; 1) the number of common title words, and 2) number of common references in two authors’ papers. The link prediction problem is formulated as a binary classification problem, and three different supervised learning algorithms are evaluated, i.e. Na¨ıve Bayes, C4.5 decision tree and Support Vector Machines. Extensive efforts are made to ensure complete spatial isolation of information used in training and test instances, which to the authors’ best knowledge is unprecedented. Results were validated using a modified form of the classic 10-fold cross validation (the change was necessitated by the way training, and test instances were separated). The Support Vector Machine classifier performed the best among tested approaches, and correctly classified on average more than 80% of test instances and had a receiver operating curve (ROC) area of greater than 0.80.}, organization = {Academy of Science and Engineering, Stanford University}, year = {2014}, url = {https://research.rug.nl/en/publications/predicting-new-collaborations-in-academic-citation-networks-of-ie}, }

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22. Utility-Based HTN Planning (I. Georgievski and A. Lazovik), In European Conference on Artificial Intelligence, 2014.

    BibTeX

    
    @inproceedings{geogievski2014:ecai, author = {I. Georgievski and A. Lazovik}, title = {Utility-Based HTN Planning}, booktitle = {European Conference on Artificial Intelligence}, year = {2014}, pages = {1013--1014}, url = {http://dx.doi.org/10.3233/978-1-61499-419-0-1013}, }

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23. Spatial optimality in power distribution networks (L. Luo and G.A. Pagani amd M. Rosas-Casals), In IEEE Complexity in Engineering Workshop, 2014.

    BibTeX

    
    @inproceedings{luo2014:spatial, title = {Spatial optimality in power distribution networks}, author = {L. Luo and G.A. Pagani amd M. Rosas-Casals}, year = {2014}, booktitle = {IEEE Complexity in Engineering Workshop}, pages = {1--4}, url = {http://dx.doi.org/10.1109/CompEng.2014.6994687}, }

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24. The Smart Grid's Data Generating Potentials (M. Aiello and G. A. Pagani), In Federated Conference on Computer Science and Information Systems, 2014.

    BibTeX

    
    @inproceedings{aiello2014:potentials, title = {The Smart Grid's Data Generating Potentials}, author = {M. Aiello and G. A. Pagani}, year = {2014}, booktitle = {Federated Conference on Computer Science and Information Systems}, url = {http://www.cs.rug.nl/~aiellom/publications/fedcsisKeynote.pdf}, }

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25. Towards a Robustness Evaluation Framework for BPEL Engines (S. Harrer, F. Nizamic, G. Wirtz and A. Lazovik), In International Conference on Service Oriented Computing & Applications, 2014.

    BibTeX

    
    @inproceedings{harrer2014:framework, title = {Towards a Robustness Evaluation Framework for BPEL Engines}, author = {S. Harrer and F. Nizamic and G. Wirtz and A. Lazovik}, year = {2014}, booktitle = {International Conference on Service Oriented Computing & Applications}, pages = {199--206}, url = {http://www.cs.rug.nl/~faris/pubs/TBP14.pdf}, }

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26. Breaching IM Session Privacy Using Causality (S. Saleh, M. Raja, M. Shahnawaz, M. U. Ilyas, K. Khurshid, M. Shafiq, A. X. Liu, H. Radha and S. S. Karande), In Global Communications Conference, 2014.

    Abstract

    The breach of privacy in encrypted instant messenger (IM) service is a serious threat to user anonymity. Performance of previous de-anonymization strategies was limited to 65%. We perform network de-anonymization by taking advantage of the cause-effect relationship between sent and received packet streams and demonstrate this approach on a data set of Yahoo! IM service traffic traces. An investigation of various measures of causality shows that IM networks can be breached with a hit rate of 99%. A KCI Causality based approach alone can provide a true positive rate of about 97%. Individual performances of Granger, Zhang and IGCI causality are limited owing to the very low SNR of packet traces and variable network delays.

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    BibTeX

    
    @InProceedings{saleh2014:globecom, author = {S. Saleh and M. Raja and M. Shahnawaz and M. U. Ilyas and K. Khurshid and M. Shafiq and A. X. Liu and H. Radha and S. S. Karande}, booktitle = {Global Communications Conference}, title = {Breaching {IM} {S}ession {P}rivacy {U}sing {C}ausality}, abstract={The breach of privacy in encrypted instant messenger (IM) service is a serious threat to user anonymity. Performance of previous de-anonymization strategies was limited to 65%. We perform network de-anonymization by taking advantage of the cause-effect relationship between sent and received packet streams and demonstrate this approach on a data set of Yahoo! IM service traffic traces. An investigation of various measures of causality shows that IM networks can be breached with a hit rate of 99%. A KCI Causality based approach alone can provide a true positive rate of about 97%. Individual performances of Granger, Zhang and IGCI causality are limited owing to the very low SNR of packet traces and variable network delays.}, organization = {IEEE}, pages = {686--691}, year = {2014}, doi = {10.1109/GLOCOM.2014.7036887}, url = {https://research.rug.nl/en/publications/breaching-im-session-privacy-using-causality}, }

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27. Itemset-based Mining of Constraints for Enacting Smart Environments (V. Degeler, A. Lazovik, F. Leotta and M. Mecella), In Symposium on Activity and Context Modeling and Recognition, 2014.

    BibTeX

    
    @inproceedings{degeler2014:mining, author = {V. Degeler and A. Lazovik and F. Leotta and M. Mecella}, title = {Itemset-based Mining of Constraints for Enacting Smart Environments}, booktitle = {Symposium on Activity and Context Modeling and Recognition}, year = {2014}, pages = {41--46}, url = {http://dx.doi.org/10.1109/PerComW.2014.6815162}, }

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