Nina Resçiç

According to our database, Nina Resçiç authored at least 11 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges.

Stefan Kalabakov, Simon Stankoski, Ivana Kiprijanovska, Andrejaana Andova, Nina Resçiç, Vito Janko, Martin Gjoreski, Matjaz Gams, Mitja Lustrek

Sensors, 2022

2020

Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors.

Martin Gjoreski, Vito Janko, Gasper Slapnicar, Miha Mlakar, Nina Resçiç, Jani Bizjak, Vid Drobnic, Matej Marinko, Nejc Mlakar, Mitja Lustrek, Matjaz Gams

Inf. Fusion, 2020

Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning.

Stefan Kalabakov, Simon Stankoski, Nina Resçiç, Ivana Kiprijanovska, Andrejaana Andova, Clément Picard, Vito Janko, Martin Gjoreski, Mitja Lustrek

Proceedings of the UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, 2020

Real-time Eating Detection Using a Smartwatch.

Simon Stankoski, Nina Resçiç, Grega Mezic, Mitja Lustrek

Proceedings of the 2020 International Conference on Embedded Wireless Systems and Networks, 2020

Comparison of Feature Selection Algorithms for Minimization of Target Specific FFQs.

Nina Resçiç, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Mobile nutrition monitoring for well-being.

Nina Resçiç, Eva Valencic, Enej Mlinaric, Barbara Korousic-Seljak, Mitja Lustrek

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Cross-location transfer learning for the sussex-huawei locomotion recognition challenge.

Vito Janko, Martin Gjoreski, Carlo Maria De Masi, Nina Resçiç, Mitja Lustrek, Matjaz Gams

Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers, 2019

Exploring Dietary Intake Data collected by FPQ using Unsupervised Learning.

Martin Gjoreski, Stefan Kochev, Nina Resçiç, Matej Gregoric, Tome Eftimov, Barbara Korousic-Seljak

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Winning the Sussex-Huawei Locomotion-Transportation Recognition Challenge.

Vito Janko, Martin Gjoreski, Gasper Slapnicar, Miha Mlakar, Nina Resçiç, Jani Bizjak, Vid Drobnic, Matej Marinko, Nejc Mlakar, Matjaz Gams, Mitja Lustrek

Proceedings of the Human Activity Sensing - Corpus and Applications, 2019

2018

A New Frontier for Activity Recognition: The Sussex-Huawei Locomotion Challenge.

Vito Janko, Nina Resçiç, Miha Mlakar, Vid Drobnic, Matjaz Gams, Gasper Slapnicar, Martin Gjoreski, Jani Bizjak, Matej Marinko, Mitja Lustrek

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018

Applying Multiple Knowledge to Sussex-Huawei Locomotion Challenge.

Martin Gjoreski, Vito Janko, Nina Resçiç, Miha Mlakar, Mitja Lustrek, Jani Bizjak, Gasper Slapnicar, Matej Marinko, Vid Drobnic, Matjaz Gams

Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, 2018