Mitja Lustrek

Publications
Zoja Anzur, Klara Zinkovic, Junos Lukan, Pietro Barbiero, Gasper Slapnicar, Mohan Li, Martin Gjoreski, Maike E. Debus, Sebastijan Trojer, Mitja Lustrek, Marc Langheinrich (2025). A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Mach. Learn. Knowl. Extr..
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Mohan Li, Martin Gjoreski, Pietro Barbiero, Gasper Slapnicar, Mitja Lustrek, Nicholas D. Lane, Marc Langheinrich (2025). A Survey on Federated Learning in Human Sensing. CoRR.
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Sebastijan Trojer, Zoja Anzur, Martin Gjoreski, Gasper Slapnicar, Mitja Lustrek (2024). A Feature-Based Approach for Subtle Emotion Recognition in Realistic Scenarios. Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2024, Melbourne, VIC, Australia, October 5-9, 2024.
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Daniil E. Kirilenko, Pietro Barbiero, Martin Gjoreski, Mitja Lustrek, Marc Langheinrich (2024). Generative Models for Counterfactual Explanations. Proceedings of the KDD Workshop on Human-Interpretable AI 2024 co-located with 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Centre de Convencions Internacional de Barcelona, Spain, August 26, 2024.
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Stefan Kalabakov, Simon Stankoski, Ivana Kiprijanovska, Andrejaana Andova, Nina Resçiç, Vito Janko, Martin Gjoreski, Matjaz Gams, Mitja Lustrek (2022). What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges. Sensors.
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Martin Gjoreski, Bhargavi Mahesh, Tine Kolenik, Jens-Uwe Garbas, Dominik Seuss, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams, Veljko Pejovic (2021). Cognitive Load Monitoring With Wearables-Lessons Learned From a Machine Learning Challenge. IEEE Access.
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Rok Piltaver, Mitja Lustrek, Saso Dzeroski, Martin Gjoreski, Matjaz Gams (2021). Learning comprehensible and accurate hybrid trees. Expert Syst. Appl..
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Martin Gjoreski, Vito Janko, Gasper Slapnicar, Miha Mlakar, Nina Resçiç, Jani Bizjak, Vid Drobnic, Matej Marinko, Nejc Mlakar, Mitja Lustrek, Matjaz Gams (2020). Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors. Inf. Fusion.
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Martin Gjoreski, Matjaz Gams, Mitja Lustrek, Pelin Genc, Jens-Uwe Garbas, Teena Hassan (2020). Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals. IEEE Access.
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Stefan Kalabakov, Simon Stankoski, Nina Resçiç, Ivana Kiprijanovska, Andrejaana Andova, Clément Picard, Vito Janko, Martin Gjoreski, Mitja Lustrek (2020). Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning. UbiComp/ISWC ‘20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, Virtual Event, Mexico, September 12-17, 2020.
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Veljko Pejovic, Martin Gjoreski, Christoph Anderson, Klaus David, Mitja Lustrek (2020). Toward Cognitive Load Inference for Attention Management in Ubiquitous Systems. IEEE Pervasive Comput..
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