Cross-dataset deep transfer learning for activity recognition. - Martin Gjoreski; Stefan Kalabakov; Mitja Lustrek; Hristijan Gjoreski (UbiComp/ISWC Adjunct, 2019)

Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning. - Stefan Kalabakov; Simon Stankoski; Nina Resçiç; Ivana Kiprijanovska; Andrejaana Andova; Clément Picard; Vito Janko; Martin Gjoreski; Mitja Lustrek (UbiComp/ISWC Adjunct, 2020)

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

A Prestudy of Machine Learning in Industrial Quality Control Pipelines. - Joze Ravnican; Anze Marinko; Gjorgji Noveski; Stefan Kalabakov; Marko Jovanovic; Samo Gazvoda; Matjaz Gams (Informatica (Slovenia), 2022)

What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges. - Stefan Kalabakov; Simon Stankoski; Ivana Kiprijanovska; Andrejaana Andova; Nina Resçiç; Vito Janko; Martin Gjoreski; Matjaz Gams; Mitja Lustrek (Sensors, 2022)

Prediction of Hospital Readmission using Federated Learning. - Borjan Sazdov; Matea Tashkovska; Stefan Krsteski; Borche Jovanovski; Stefan Kalabakov; Valentin Rakovic; Daniel Denkovski; Hristijan Gjoreski (IWSSIP, 2023)

Federated Learning for Activity Recognition: A System Level Perspective. - Stefan Kalabakov; Borche Jovanovski; Daniel Denkovski; Valentin Rakovic; Bjarne Pfitzner; Orhan Konak; Bert Arnrich; Hristijan Gjoreski (IEEE Access, 2023)

A Comparative Analysis of Federated Learning for Speech-Based Cognitive Decline Detection. - Stefan Kalabakov; Monica González Machorro; Florian Eyben; Björn W. Schuller; Bert Arnrich (INTERSPEECH, 2024)