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28 Research Topics
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71 Application Fields
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34 Institutions
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CSEM
ML
CV
Ultra-Low Power Visual Perception Systems
 
ZHAW
ML
Gov-ELSI
Socially acceptable AI and fairness trade-offs in predictive analytics
 
ML
MAS
Gov-ELSI
Personalized Explainable Artificial Intelligence for decentralized agents with heterogeneous knowledge
 
HSG
NLP
ML
Next Generation of Digital Support for Fostering Students’ Academic Writing Skills: A Learning Support System based on Machine Learning (ML)
 
USI
ML
ML2 - Multilevel and Domain Decomposition Methods for Machine Learning
 
UZH
ML
Melise - Machine Learning Assisted Software Development
 
EPFL
ML
Machine Learning Simulation of Many-Body Quantum Matter
 
CSEM
Machine learning for indoor localization
 
UniBE
ML
Improving Interpretability. Philosophy of Science Perspectives on Machine Learning
 
CSEM
ML
Gait analysis digital journey
 
CSEM
ML
Exploring full content of optical signals to enhance cardiac arrhythmia screening
 
EPFL
ML
PSO
DOPE - Deep Optimization
 
Empa
ML
Data-driven predictive control as a cloud service for efficient building operation
 
UNIL
ML
Characterizing heart failure with preserved ejection fraction - an integrative approach that combines quantitative MRI, metabolomics, and genomics with machine learning
 
UNIGE
ML
Bringing Empirical Welfare Maximization methods to practice
 
CSEM
ML
Aphasia digital journey
 
UniBE
ML
A Machine Learning-Based Approach to Predict Post-Treatment Drinking Behavior in Patients with Alcohol Use Disorder
1
  Prof.Aleksey Tetenov
Andrea Dunbar
  Prof.Christoph Heitz
  Prof.Claus Beisbart
Felix Bünning
  Prof.Giuseppe Carleo
Harald Gall
  Joshua Jäger
Mathieu Lemay
  Prof.Michael Ignaz Schumacher
Olivier Chételat
  Pasquale Salza
Philippe Dallemagne
Pierre-François Rüedi
Rolf Krause
Ruud van Heeswijk
Sabine Seufert
Tobias Delbruck
  Prof.Volkan Cevher
1