Bachelor's Theses
- Pablo Tanner: Automatic Facial Emotion Recognition
Master's Theses
- Simon Giesch: Negative Sample Handling for Improved Open-Set Classification (waiting for publication)
- Yuning Yu: Learning Semantics of Classes in Image Classification (waiting for publication)
- Sarah Feuz: Effective Negative Samples for Open-Set Classification (waiting for publication)
- Melih Catal: Does Adversarial Training improve Adversarial Stability? (waiting for publication)
- Melanie Salzer: Adversarial Stability of Open-Set Deep Networks (waiting for publication)
- He Liu: Open-set Classification for Human Activity Recognition using Wrist-worn Accelerometers (waiting for publication)
- Michèle Fundneider: Improving Demographic Fairness of Deep Face Recognition through Balanced Training
- Agnar Pétursson: Visualization of Image Similarities in Face Recognition Systems (waiting for publication)
- Joel Watter: Facial Attribute Classification in Degraded Images (waiting for publication)
- Juan Bermeo: Improving Vessel Instance Segmentation and Unruptured Aneurysm Segmentation in Brain MRA
- Le Hoang Minh Trinh: Mapping of Socio-economic Development using Satellite Imagery
- Jun Tu: Learning OpenMax Probability Distributions End-to-end
- Dean Heizmann: Generating Negative Samples for Open-Set Classification
- Nan Li: Development of a Machine Learning Algorithm for Drunk Driving Detection
- Silvan Kübler: Open-Set Classification with Binary Classifiers - Ensembles of Classifiers
- Alain Küng: End-to-end Training in Gabor Convolutional Networks - Adversarial Stability Analysis
- Dongyi Lang: Combined Out-of-distribution Detection and Open-Set Classification
- Christian Berger: Salmon Lice Prediction with GNNs
- Joël Watter: Assessing Radiomics Feature Stability and Discriminative Power in Medical Image Data
- Hyeongkyun Kim: Hard Negative Mining for Binary one-vs-rest Open-Set Classifiers (upcoming)
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