Matjaz Gams

Publications

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.

Stefan Kalabakov, Martin Gjoreski, Hristijan Gjoreski, Matjaz Gams (2021). Analysis of Deep Transfer Learning Using DeepConvLSTM for Human Activity Recognition from Wearable Sensors. Informatica (Slovenia).

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.

Rok Piltaver, Mitja Lustrek, Saso Dzeroski, Martin Gjoreski, Matjaz Gams (2021). Learning comprehensible and accurate hybrid trees. Expert Syst. Appl..

Maciej Dziezyc, Martin Gjoreski, Przemyslaw Kazienko, Stanislaw Saganowski, Matjaz Gams (2020). Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data. Sensors.

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.

Tine Kolenik, Martin Gjoreski, Matjaz Gams (2020). Designing an Intelligent Cognitive Assistant as Persuasive Technology for Stress, Anxiety and Depression Relief. 15th International Conference on Persuasive Technology, Adjunct Proceedings (PERSUASIVE 2020), Aalborg, Denmark, April 20th - 23rd, 2020.

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.

Martin Gjoreski, Anton Gradisek, Borut Budna, Matjaz Gams, Gregor Poglajen (2020). Machine Learning and End-to-End Deep Learning for the Detection of Chronic Heart Failure From Heart Sounds. IEEE Access.

Tine Kolenik, Martin Gjoreski, Matjaz Gams (2020). PerMEASS - Personal Mental Health Virtual Assistant with Novel Ambient Intelligence Integration. Proceedings of the First International AAI4H - Advances in Artificial Intelligence for Healthcare Workshop co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, September 4, 2020.