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Michael Biehl: talks, presentations, lectures


Some video lectures / presentations (links)

30th Canary Islands Winter School 2018, Big Data analysis in Astronomy
La Laguna Tenerife, Spain, November 4-10, 2018, four lectures (ca. 1h each)
1) Introduction
2)The Perceptron
3) Support Vector Machines
4) Distance Based Systems, General Remarks

Ecole Normale Superieure, Rue d'Ulm, Paris/France
Data Science Colloquium CFM-ESN, Feb. 27 2020 (1h08m)
Prototype-based classifiers and relevance learning: medical applications"
Ecole Normale Superieure, Rue d'Ulm, Paris/France
Data Science Colloquium CFM-ESN, Feb. 27 2020 (1h08m)


Selected talks and tutorials (slides)
Talks can be viewed online (but not downloaded) at SlideShare
If you have difficulties viewing the files, please contact m.biehl@rug.nl

Interpretable machine learning in endocrinology
Presentation at the APPIS conference, January 2024

An introdction to machine learning and its applications in translational research
Presentation at the ESE Summer School 2023, Insbruck/Austria

The statistical physics approach to the theory of learning
Presentation at the APPIS conference, January 2023

Prototype-based machine learning: bio-medical applications
Presentation at the AMALEA workshop, September 2022

The statistical physics of learning: typical learning curves
Presentation at the AMALEA workshop, September 2022

Evidence for tissue- and stage-specific composition of the ribosome: machine learning analysis of ribosomal protein mRNA datas
Lecture at the University of Groningen (Honors College), December 2021

The statistical physics of learning revisited: Phase transtions in layered neural networks
Invited talk (45 minutes) in the Physics Colloquium, University of Leipzig, Germany, June 2021

Interpretable machine learning models (in endocrinology and beyond)
Invited talk (20 minutes) at the 23rd European Congress of Endocrinologe e-ECE 2021

Medical applications of machine learning: Prototype-based classifiers and relevance learning
Invited lecture (90 minutes) in the joint Data Science for Life Sciences of the Hanze University and
UMCG Medical Center Groningen (February 2021).

So you thought the ribosome was constant and conserved...
Short talk (15 minutes) presented at the 12th MiWoCI (online) in Mittweida/Germany, July 2020

Phase transitions in layered neural networks: rectified linear units vs. sigmoidal activation
Updated version presented at CITEC Bielefeld/Germany, June 2020
Invited talk at Ecole Normale Superieure Paris/France, February 2020 July 2020

Prototype-based classifiers and relevance learning: medical applications
Invited colloquium at Ecole Normale Superieure Paris/France, February 2020

The statistical physics of learning - revisited
Talk presented at the 10th MiWoCI, Mittweida/German, 2018

Prototype-based models in unsupervised and supervised machine learning
Invited talk (22 slides) presented at the Astroinformatics in Cape Town, November 2017.

Prototype-based models in machine learning
Tutorial (44 slides) presented at the 3rd Intl. Workshop on Brain-Inspired Computing in Cetraro/Italy, June 2017.

Biomedical applications of prototype-based classifiers and relevance learning
Keynote lecture (49 slides) at the AlCoB 2017 in Aveiro/Portugal, 2017

Predicting Recurrence in Clear Cell Carcinoma
Analysis of TCGA data using Outlier Analysis and GMLVQ
Presentation (16 slides) at the World Congress on Computational Intelligence (WCCI) 2016 in Vancouver / Canada

Classification of FDG-PET Brain Data
Presentation (22 slides) at the Workshop on Self-Organizing Maps (WSOM) 2016 in Houston / Texas

Distance-based classifiers: Basic concepts, recent developments and application examples
Tutorial (4 hrs., 102 slides) at the Intl. Conference on Computer Analysis of Images and Patterns, CAIP 2015 , Malta

Prototype-based classifiers and their applications in the life sciences
Keynote lecture (46 slides) at the Workshop on Self-Organizing Maps WSOM 2014 , Mittweida/Germany

Sometimes you can trust a rat
Presentation (45 slides) of our contributions to the sbv Improver species translation challenge 2013 (best performance in 3 out of 4 sub-challenges)

GMLVQ analysis of flow cytometry data: Diagnosis of Acute Myeloid Leukaemia
Presentation (25 slides) of our best performing contribution to the DREAM6 / FlowCAP II challenge 2011.