| Partner(s) | Authors | Journal / Conference | Title | Date | Link |
|---|---|---|---|---|---|
| UKIM, HPI | A. Cholakoska, B. Pfitzner, H. Gjoreski, V. Rakovic, B. Arnrich and M. Kalendar | Ubicomp 2021 | Differentially Private Federated Learning for Anomaly Detection in eHealth Networks | September 2021 | Link |
| UKIM, HPI | A. Cholakoska, V. Rakovic, H. Gjoreski, B. Pfitzner, B. Arnrich and M. Kalendar | ETAI 2021 | Machine Learning based Anomaly Detection in Ambient Assisted Living Environments | September 2021 | Link |
| UKIM, FBK | B. Velichkovska, H. Gjoreski, D. Denkovski, M. Kalendar, L. Celi and V. Osmani | ETAI 2021 | Investigating Presence of Ethnoracial Bias in Clinical Data using Machine Learning | September 2021 | Link |
| JSI, UKIM | S. Kalabakov, M. Gjoreski, H. Gjoreski, and M. Gams | Informatica, Vol 45, No. 2 (2021) | Analysis of Deep Transfer Learning Using DeepConvLSTM for Human Activity Recognition from Wearable Sensors | July 2021 | Link |
| JSI, UKIM | M. Gjoreski, B. Mahesh, T. Kolenik, J. Uwe-Garbas, D. Seuss, H. Gjoreski, M. Luštrek, M. Gams and V. Pejović | IEEE Access, Vol 9 (2021) | Cognitive Load Monitoring with Wearables - Lessons Learned from a Machine Learning Challenge | June 2021 | Link |
| JSI, UKIM | S. Stankoski, M. Jordan, H. Gjoreski, and M. Luštrek | MDPI Sensors, Vol. 21, No. 5, 1902 (2021) | Smartwatch-Based Eating Detection: Data Selection for Machine Learning from Imbalanced Data with Imperfect Labels | March 2021 | Link |
