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Nina Reščič
Nina Reščič
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Year
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
912020
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
332018
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
232018
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
202019
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
142022
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
142020
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
122022
Real-time Eating Detection Using a Smartwatch.
S Stankoski, N Resçiç, G Mezic, M Lustrek
EWSN, 247-252, 2020
112020
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
112019
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
92020
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
62019
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
52023
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
52019
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
5
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
42021
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
32023
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
32021
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
22022
Comparison of Feature Selection Algorithms for Minimization of Target Specific FFQs
N Reščič, T Eftimov, BK Seljak
2020 IEEE International Conference on Big Data (Big Data), 3592-3595, 2020
22020
Food Frequency Questionnaire Personalisation Using Multi-Target Regression
N Reščič, O Mayora, C Eccher, M Luštrek
Nutrients 14 (19), 3943, 2022
12022
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