| JSI, FBK | N. Reščič, O. Mayora, C. Eccher and M. Luštrek | Nutrients, Vol 14, No. 19, 3943 (2022) | Food Frequency Questionnaire Personalisation Using Multi-Target Regression | October 2022 | Link |
| UKIM | M. Gjoreski, I. Kiprijanovska, S. Stankoski, I. Mavridou, M. J. Broulidakis, H. Gjoreski and C. Nduka | Nature Scientific Records, Vol. 12, 16876 (2022) | Facial EMG sensing for monitoring affect using a wearable device | October 2022 | Link |
| UKIM, JSI | V. Srbinoski, D. Denkovski, E. Kizhevska and H. Gjoreski | Pervasive Health and Smart Sensing Conference at the Information Society 2022 | Android Integration of a Machine Learning Pipeline for Human Activity Recognition | October 2022 | Link |
| UKIM, HPI | A. Cholakoska, B. Jakimovski, B. Pfitzner, H. Gjoreski, B. Arnrich, M. Kalendar and D. Efnusheva | Pervasive Health and Smart Sensing Conference at the Information Society 2022 | Network Anomaly Detection using Federated Learning for the Internet of Things | October 2022 | Link |
| UKIM | A. Nikoloski, P. Poposki, I. Kiprijanovska, S. Stankoski, M. Gjoreski, C. Nduka and H. Gjoreski | Pervasive Health and Smart Sensing Conference at the Information Society 2022 | Speaking Recognition with Facial EMG Sensors | October 2022 | Link |
| FC.ID | V. Lobo, D. Branco, T. Guerreiro, R. Bouça-Machado, J. Ferreira and The CNS Physiotherapy Study Group | Pervasive Health and Smart Sensing Conference at the Information Society 2022 | Machine-learning models for MDS-UPDRS III Prediction: A comparative study of features, models, and data sources | October 2022 | Link |
| FC.ID, UKIM | L. Ingelse, D. Branco, H. Gjoreski, T. Guerreiro, R. Bouça-Machado, J. Ferreira and The CNS Physiotherapy Study Group | MDPI Sensors, Vol. 22, No. 11, 3980 (2022) | Personalised Gait Recognition for People with Neurological Conditions | May 2022 | Link |
| UKIM, JSI | S. Kalabakov, S. Stankoski, I. Kiprijanovska, A. Andova, N. Reščič, V. Janko,, M. Gjoreski, M. Gams and M. Luštrek | MDPI Sensors, Vol. 22, No. 10, 3613 (2022) | What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges | May 2022 | Link |
| UKIM | S. Stankoski, I. Kiprijanovska, I. Mavridou, C. Nduka, H. Gjoreski and M. Gjoreski | MDPI Sensors, Vol. 22, No. 6, 2079 (2022) | Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning | March 2022 | 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 |
| FC.ID, UKIM | D. Branco, P. Carrington, S. Del Din, A. Doryab, H. Gjoreski, T. Guerreiro, R. McNaney, K. Montague, A. Pradhan, A. Rodrigues and J. Vega | Ubicomp 2021 | Wild by Design: Workshop on Designing Ubiquitous Health Monitoring Technologies for Challenging Environments | 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 |
