Martin Gjoreski

Martin Gjoreski

Postdoc
Università della Svizzera italiana

Martin Gjoreski is an Ambizione Fellow supported by the Swiss National Science Foundation (SNSF) and a Scientific Collaborator at the People-Centered Computing Lab, within the Faculty of Informatics at Università della Svizzera italiana (USI). His primary research areas are artificial intelligence — specifically machine learning, federated learning, and explainable AI (XAI) — applied to wearable computing, affective computing, and digital healthcare.

Education & recognition

Martin earned his PhD in Computer Science from the Jožef Stefan Institute in Slovenia under the supervision of Profs. Matjaž Gams and Mitja Luštrek. His doctoral thesis received the Jožef Stefan golden emblem, awarded to outstanding PhD theses in Slovenia. In 2021 he was included in the list of the top 2% scientists in the world for single-year impact.

Professional service

  • Associate Editor, ACM IMWUT (Interactive, Mobile, Wearable and Ubiquitous Technologies)
  • Board Member, Global SNSF Fellows Network
Publications
Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich (2024). Climbing the Ladder of Interpretability with Counterfactual Concept Bottleneck Models. CoRR.
URL DOI
Aurora Spagnol, Kacper Sokol, Pietro Barbiero, Marc Langheinrich, Martin Gjoreski (2024). Counterfactual Explanations for Clustering Models. CoRR.
URL DOI
Fatima Ezzeddine, Mirna Saad, Omran Ayoub, Davide Andreoletti, Martin Gjoreski, Ihab Sbeity, Marc Langheinrich, Silvia Giordano (2024). Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability. CoRR.
URL DOI
Fatima Ezzeddine, Mirna Saad, Omran Ayoub, Davide Andreoletti, Martin Gjoreski, Ihab Sbeity, Marc Langheinrich, Silvia Giordano (2024). Differential Privacy for Anomaly Detection: Analyzing the Trade-Off Between Privacy and Explainability. Explainable Artificial Intelligence - Second World Conference, xAI 2024, Valletta, Malta, July 17-19, 2024, Proceedings, Part III.
URL DOI
Francesco Bombassei De Bona, Gabriele Dominici, Tim Miller, Marc Langheinrich, Martin Gjoreski (2024). Evaluating Explanations Through LLMs: Beyond Traditional User Studies. CoRR.
URL DOI
Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich (2024). Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024.
URL
Dario Fenoglio, Gabriele Dominici, Pietro Barbiero, Alberto Tonda, Martin Gjoreski, Marc Langheinrich (2024). Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning. CoRR.
URL DOI
Alessandro Gobbetti, Martin Gjoreski, Hristijan Gjoreski, Nicholas D. Lane, Marc Langheinrich (2024). FedMMA-HAR: Federated Learning for Human Activity Recognition With Missing Modalities Using Head-Worn Wearables. IEEE Pervasive Comput..
URL DOI
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.
PDF
Martin Gjoreski, Matías Laporte, Marc Langheinrich, Tim Miller (2024). How to Validate XAI in Longitudinal Studies?. Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2024, Melbourne, VIC, Australia, October 5-9, 2024.
URL DOI
Leonardo Alchieri, Nouran Abdalazim, Lidia Alecci, Shkurta Gashi, Martin Gjoreski, Silvia Santini (2024). Lateralization Effects in Electrodermal Activity Data Collected Using Wearable Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
URL DOI
Dario Fenoglio, Mohan Li, Davide Casnici, Matías Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich (2024). Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. International Conference on Intelligent Environments, IE 2024, Ljubljana, Slovenia, June 17-20, 2024.
URL DOI
Martin Gjoreski, Teena Hassan, Mor Vered, Sebastian Houben, Stefan Kopp (2024). XAI for U: Explainable AI for Ubiquitous, Pervasive and Wearable Computing. Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2024, Melbourne, VIC, Australia, October 5-9, 2024.
URL DOI
Dario Fenoglio, Martin Gjoreski, Marc Langheinrich (2023). A Federated Unsupervised Personalisation for Cognitive Workload Estimation. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, MUM 2023, Vienna, Austria, December 3-6, 2023.
URL DOI
Lidia Alecci, Leonardo Alchieri, Nouran Abdalazim, Pietro Barbiero, Silvia Santini, Martin Gjoreski (2023). Enhancing XGBoost with Heuristic Smoothing for Transportation Mode and Activity Recognition. Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, Cancun, Quintana Roo, Mexico, October 8-12, 2023.
URL DOI
Riccardo Corrias, Martin Gjoreski, Marc Langheinrich (2023). Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling. Sensors.
URL DOI
Dario Fenoglio, Daniel Josifovski, Alessandro Gobbetti, Mattias Formo, Hristijan Gjoreski, Martin Gjoreski, Marc Langheinrich (2023). Federated Learning for Privacy-aware Cognitive Workload Estimation. Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia, MUM 2023, Vienna, Austria, December 3-6, 2023.
URL DOI
Ivan Fontana, Marc Langheinrich, Martin Gjoreski (2023). GANs for Privacy-Aware Mobility Modeling. IEEE Access.
URL DOI
Matías Laporte, Martin Gjoreski, Marc Langheinrich (2023). LAUREATE: A Dataset for Supporting Research in Affective Computing and Human Memory Augmentation. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
URL DOI
Hristijan Gjoreski, Ifigeneia Mavridou, James Archer, Andrew Cleal, Simon Stankoski, Ivana Kiprijanovska, Mohsen Fatoorechi, Piotr Walas, John Broulidakis, Martin Gjoreski, Charles Nduka (2023). OCOsense Glasses - Monitoring Facial Gestures and Expressions for Augmented Human-Computer Interaction: OCOsense Glasses for Monitoring Facial Gestures and Expressions. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023, Hamburg, Germany, April 23-28, 2023.
URL DOI
Borjan Sazdov, Bojan Jakimovski, Simon Stankoski, Ivana Kiprijanovska, Bojan Sofronievski, Martin Gjoreski, Charles Nduka, Hristijan Gjoreski (2023). Privacy-aware Human Activity Recognition with Smart Glasses for Digital Therapeutics. Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, Cancun, Quintana Roo, Mexico, October 8-12, 2023.
URL DOI
Simon Stankoski, Borjan Sazdov, John Broulidakis, Ivana Kiprijanovska, Bojan Sofronievski, Sophia Cox, Martin Gjoreski, James Archer, Charles Nduka, Hristijan Gjoreski (2023). Recognizing Activities of Daily Living using Multi-sensor Smart Glasses. 46th MIPRO ICT and Electronics Convention, MIPRO 2023, Opatija, Croatia, May 22-26, 2023.
URL DOI
Ivana Kiprijanovska, Filip Panchevski, Simon Stankoski, Martin Gjoreski, James Archer, John Broulidakis, Ifigeneia Mavridou, Bradley Hayes, Tiago João Guerreiro, Charles Nduka, Hristijan Gjoreski (2023). Smart Glasses for Gait Analysis of Parkinson's Disease Patients. 46th MIPRO ICT and Electronics Convention, MIPRO 2023, Opatija, Croatia, May 22-26, 2023.
URL DOI
Enqi Fu, Matías Laporte, Cindy Guerrero Toro, Martin Gjoreski, Marc Langheinrich (2022). Affect and Learning in the LAUREATE Dataset. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022.
URL DOI
Martin Gjoreski, Vladimir Kuzmanovski, Marko Bohanec (2022). BAG-DSM: A Method for Generating Alternatives for Hierarchical Multi-Attribute Decision Models Using Bayesian Optimization. Algorithms.
URL DOI