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ORCIDVida Groznik
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2020 – today
- 2024
[i1]Arnaud Gucciardi, Safouane El Ghazouali, Francesca Venturini, Vida Groznik, Umberto Michelucci:
Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysis. CoRR abs/2401.11814 (2024)- 2023
- [e1]Vida Groznik, Aleksander Sadikov, Umberto Michelucci, Marco Agostino Deriu:
Proceedings of the International Workshop in Neurodevelopmental Impairments in Preterm Children - Computational Advancements (DETERMINED 2022), Ljubljana, Slovenia, August 26, 2022. CEUR Workshop Proceedings 3363, CEUR-WS.org 2023 [contents] - 2022
- [c16]Andrea De Gobbis
, Aleksander Sadikov, Vida Groznik:
MRI Reconstruction with LassoNet and Compressed Sensing. AIME 2022: 291-295 - [c15]Marta Malavolta, Emiliano Trimarco, Vida Groznik, Aleksander Sadikov:
Awareness of Being Tested and Its Effect on Reading Behaviour. AIME 2022: 365-370 - [c14]Arnaud Gucciardi, Monica Crotti, Nofar Ben Itzhak, Lisa Mailleux, Els Ortibus, Umberto Michelucci, Vida Groznik, Aleksander Sadikov:
A new median filter application to deal with large windows of missing data in eye-gaze measurements. DETERMINED 2022: 1-17 - [c13]Andrea De Gobbis, Marta Malavolta, Emiliano Trimarco, Isabel Benavente-Fernández, Simón Pedro Lubián-López, Aleksander Sadikov, Vida Groznik:
Eye-tracking test battery for detecting cognitive impairments in premature children. DETERMINED 2022: 28-38 - [c12]Marta Malavolta, Andrea De Gobbis, Emiliano Trimarco, Isabel Benavente-Fernández, Simón Pedro Lubián-López, Vida Groznik, Aleksander Sadikov:
Eye-tracking test battery for newborns: A pilot feasibility study. DETERMINED 2022: 39-48 - 2021
- [c11]Alessia Gerbasi, Vida Groznik, Dejan Georgiev, Lucia Sacchi, Aleksander Sadikov:
Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi Task. AIME 2021: 168-172 - [c10]Vida Groznik, Martin Mozina, Timotej Lazar, Dejan Georgiev, Aleksander Sadikov:
Gaze Behaviour During Reading as a Predictor of Mild Cognitive Impairment. BHI 2021: 1-4 - [c9]Mateja Jovanovic, Vida Groznik, Marko Tkalcic:
Predicting the Gullibility of Users from their Online Behaviour. HCI-SI 2021: 35-44 - 2020
- [j4]Vida Groznik:
Artificial Intelligence Methods for Modelling Tremor Mechanisms. Informatica (Slovenia) 44(2) (2020)
2010 – 2019
- 2019
- [c8]Teodora Matic, Somayeh Aghanavesi, Mevludin Memedi, Dag Nyholm, Filip Bergquist, Vida Groznik, Jure Zabkar, Aleksander Sadikov:
Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease. AIME 2019: 420-424 - 2017
- [j3]Aleksander Sadikov, Vida Groznik, Martin Mozina, Jure Zabkar, Dag Nyholm, Mevludin Memedi, Ivan Bratko, Dejan Georgiev:
Feasibility of spirography features for objective assessment of motor function in Parkinson's disease. Artif. Intell. Medicine 81: 54-62 (2017) - 2015
- [j2]Mevludin Memedi, Aleksander Sadikov, Vida Groznik, Jure Zabkar, Martin Mozina, Filip Bergquist, Anders Johansson, Dietrich Haubenberger, Dag Nyholm:
Automatic Spiral Analysis for Objective Assessment of Motor Symptoms in Parkinson's Disease. Sensors 15(9): 23727-23744 (2015) - [c7]Aleksander Sadikov, Jure Zabkar, Martin Mozina, Vida Groznik, Dag Nyholm, Mevludin Memedi:
Feasibility of Spirography Features for Objective Assessment of Motor Symptoms in Parkinson's Disease. AIME 2015: 267-276 - [p1]Vida Groznik, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko, Aleksander Sadikov:
Development, Debugging, and Assessment of ParkinsonCheck Attributes Through Visualisation. Health Monitoring and Personalized Feedback using Multimedia Data 2015: 47-71 - 2014
- [c6]Aleksander Sadikov, Vida Groznik, Jure Zabkar, Martin Mozina, Dejan Georgiev, Zvezdan Pirtosek, Ivan Bratko:
ParkinsonCheck Smart Phone App. ECAI 2014: 1213-1214 - [c5]Vida Groznik, Aleksander Sadikov, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko:
Attribute Visualisation for Computer-Aided Diagnosis: A Case Study. ICHI 2014: 294-299 - 2013
- [j1]Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko:
Elicitation of neurological knowledge with argument-based machine learning. Artif. Intell. Medicine 57(2): 133-144 (2013) - 2012
- [c4]Matej Guid, Martin Mozina, Vida Groznik, Dejan Georgiev, Aleksander Sadikov, Zvezdan Pirtosek, Ivan Bratko:
ABML Knowledge Refinement Loop: A Case Study. ISMIS 2012: 41-50 - [c3]Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Ivan Bratko:
Goal-Oriented Conceptualization of Procedural Knowledge. ITS 2012: 286-291 - 2011
- [c2]Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko:
Elicitation of Neurological Knowledge with ABML. AIME 2011: 14-23 - 2010
- [c1]Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec, Ivan Bratko:
Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels. EDM 2010: 309-310
Coauthor Index
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