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Journal Articles
- 2023
[j4]Stefan Kalabakov
, Borche Jovanovski, Daniel Denkovski, Valentin Rakovic, Bjarne Pfitzner, Orhan Konak, Bert Arnrich, Hristijan Gjoreski:
Federated Learning for Activity Recognition: A System Level Perspective. IEEE Access 11: 64442-64457 (2023)- 2022
- [j3]Joze Ravnican, Anze Marinko, Gjorgji Noveski, Stefan Kalabakov, Marko Jovanovic, Samo Gazvoda, Matjaz Gams:
A Prestudy of Machine Learning in Industrial Quality Control Pipelines. Informatica (Slovenia) 46(2) (2022) - [j2]Stefan Kalabakov, Simon Stankoski, Ivana Kiprijanovska, Andrejaana Andova, Nina Resçiç, Vito Janko, Martin Gjoreski, Matjaz Gams, Mitja Lustrek:
What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges. Sensors 22(10): 3613 (2022) - 2021
- [j1]Stefan Kalabakov, Martin Gjoreski, Hristijan Gjoreski, Matjaz Gams:
Analysis of Deep Transfer Learning Using DeepConvLSTM for Human Activity Recognition from Wearable Sensors. Informatica (Slovenia) 45(2) (2021)
Conference and Workshop Papers
- 2023
- [c3]Borjan Sazdov, Matea Tashkovska, Stefan Krsteski, Borche Jovanovski, Stefan Kalabakov, Valentin Rakovic, Daniel Denkovski, Hristijan Gjoreski:
Prediction of Hospital Readmission using Federated Learning. IWSSIP 2023: 1-5 - 2020
- [c2]Stefan Kalabakov, Simon Stankoski, Nina Resçiç, Ivana Kiprijanovska, Andrejaana Andova, Clément Picard, Vito Janko, Martin Gjoreski, Mitja Lustrek:
Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning. UbiComp/ISWC Adjunct 2020: 323-328 - 2019
- [c1]Martin Gjoreski, Stefan Kalabakov, Mitja Lustrek, Hristijan Gjoreski:
Cross-dataset deep transfer learning for activity recognition. UbiComp/ISWC Adjunct 2019: 714-718
Coauthor Index
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