Partner(s)AuthorsJournal / ConferenceTitleDateLink
UKIM, HPIA. Cholakoska, B. Pfitzner, H. Gjoreski, V. Rakovic, B. Arnrich and M. KalendarUbicomp 2021Differentially Private Federated Learning for Anomaly Detection in eHealth NetworksSeptember 2021Link
UKIM, HPIA. Cholakoska, V. Rakovic, H. Gjoreski, B. Pfitzner, B. Arnrich and M. KalendarETAI 2021Machine Learning based Anomaly Detection in Ambient Assisted Living EnvironmentsSeptember 2021Link
UKIM, FBKB. Velichkovska, H. Gjoreski, D. Denkovski, M. Kalendar, L. Celi and V. OsmaniETAI 2021Investigating Presence of Ethnoracial Bias in Clinical Data using Machine LearningSeptember 2021Link
JSI, UKIMS. Kalabakov, M. Gjoreski, H. Gjoreski, and M. GamsInformatica, Vol 45, No. 2 (2021)Analysis of Deep Transfer Learning Using DeepConvLSTM for Human Activity Recognition from Wearable SensorsJuly 2021Link
JSI, UKIMM. Gjoreski, B. Mahesh, T. Kolenik, J. Uwe-Garbas, D. Seuss, H. Gjoreski, M. Luštrek, M. Gams and V. PejovićIEEE Access, Vol 9 (2021)Cognitive Load Monitoring with Wearables - Lessons Learned from a Machine Learning Challenge
June 2021Link
JSI, UKIMS. Stankoski, M. Jordan, H. Gjoreski, and M. LuštrekMDPI Sensors, Vol. 21, No. 5, 1902 (2021)Smartwatch-Based Eating Detection: Data Selection for Machine Learning from Imbalanced Data with Imperfect LabelsMarch 2021Link