Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors M Gjoreski, V Janko, G Slapničar, M Mlakar, N Reščič, J Bizjak, V Drobnič, ... Information Fusion 62, 47-62, 2020 | 107 | 2020 |
A new frontier for activity recognition: The Sussex-Huawei locomotion challenge V Janko, N Rešçiç, M Mlakar, V Drobnič, M Gams, G Slapničar, M Gjoreski, ... Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 37 | 2018 |
Applying multiple knowledge to Sussex-Huawei locomotion challenge M Gjoreski, V Janko, N Reščič, M Mlakar, M Luštrek, J Bizjak, G Slapničar, ... Proceedings of the 2018 ACM International Joint Conference and 2018 …, 2018 | 28 | 2018 |
Cross-location transfer learning for the sussex-huawei locomotion recognition challenge V Janko, M Gjoreski, CM De Masi, N Reščič, M Luštrek, M Gams Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019 | 21 | 2019 |
Is RED-S in athletes just another face of malnutrition? E Peklaj, N Reščič, B Koroušic, NR Kozjek Clinical Nutrition ESPEN 48, 298-307, 2022 | 19 | 2022 |
Using survey data to estimate the impact of the omicron variant on vaccine efficacy against COVID-19 infection J Rufino, C Baquero, D Frey, CA Glorioso, A Ortega, N Reščič, JC Roberts, ... medRxiv, 2022.01. 21.22269636, 2022 | 19 | 2022 |
Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning S Kalabakov, S Stankoski, N Reščič, I Kiprijanovska, A Andova, C Picard, ... Adjunct Proceedings of the 2020 ACM International Joint Conference on …, 2020 | 18 | 2020 |
Real-time Eating Detection Using a Smartwatch. S Stankoski, N Resçiç, G Mezic, M Lustrek EWSN, 247-252, 2020 | 12 | 2020 |
Mobile nutrition monitoring for well-being N Reščič, E Valenčič, E Mlinarič, BK Seljak, M Luštrek Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019 | 12 | 2019 |
SmartCHANGE: AI-based long-term health risk evaluation for driving behaviour change strategies in children and youth N Reščič, J Alberts, TM Altenburg, MJM Chinapaw, A De Nigro, ... 2023 International Conference on Applied Mathematics & Computer Science …, 2023 | 10 | 2023 |
Optimising an FFQ using a machine learning pipeline to teach an efficient nutrient intake predictive model N Reščič, T Eftimov, B Koroušić Seljak, M Luštrek Nutrients 12 (12), 3789, 2020 | 10 | 2020 |
Optimizing non-pharmaceutical intervention strategies against COVID-19 using artificial intelligence V Janko, N Reščič, A Vodopija, D Susič, C De Masi, T Tušar, A Gradišek, ... Frontiers in Public Health 11, 1073581, 2023 | 7 | 2023 |
Machine learning for analyzing non-countermeasure factors affecting early spread of COVID-19 V Janko, G Slapničar, E Dovgan, N Reščič, T Kolenik, M Gjoreski, ... International Journal of Environmental Research and Public Health 18 (13), 6750, 2021 | 6 | 2021 |
Winning the sussex-huawei locomotion-transportation recognition challenge V Janko, M Gjoreski, G Slapničar, M Mlakar, N Reščič, J Bizjak, V Drobnič, ... Human Activity Sensing: Corpus and Applications, 233-250, 2019 | 6 | 2019 |
Matjaž Gams, Gašper Slapničar, Martin Gjoreski, Jani Bizjak, Matej Marinko, and Mitja Luštrek. 2018. A New Frontier for Activity Recognition: The Sussex-Huawei Locomotion Challenge V Janko, N Rešçiç, M Mlakar, V Drobnič Proceedings of the 2018 ACM International Joint Conference and 2018 …, 0 | 6 | |
New epidemic of malnutrition in young Slovenian athletes E Peklaj, N Reščič, BK Seljak, NR Kozjek Slovenian Journal of Public Health 62 (3), 121-128, 2023 | 4 | 2023 |
Exploring dietary intake data collected by FPQ using unsupervised learning M Gjoreski, S Kochev, N Reščič, M Gregorič, T Eftimov, BK Seljak 2019 IEEE International Conference on Big Data (Big Data), 5126-5130, 2019 | 4 | 2019 |
Food frequency questionnaire personalisation using multi-target regression N Reščič, O Mayora, C Eccher, M Luštrek Nutrients 14 (19), 3943, 2022 | 3 | 2022 |
What actually works for activity recognition in scenarios with significant domain shift: Lessons learned from the 2019 and 2020 sussex-huawei challenges S Kalabakov, S Stankoski, I Kiprijanovska, A Andova, N Reščič, V Janko, ... Sensors 22 (10), 3613, 2022 | 3 | 2022 |
Identification of Cooking Preparation Using Motion Capture Data: A Submission to the Cooking Activity Recognition Challenge C Picard, V Janko, N Reščič, M Gjoreski, M Luštrek Human Activity Recognition Challenge, 103-113, 2021 | 2 | 2021 |