Aleksander Sadikov

36 papers A 4B 11C 1Journal 6Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Machine Learning Models for Predicting Suicidal Ideation, Depression, Anxiety, and Stress in the General Population. AIME (2) Teodora Matic, Aleksander Sadikov, Peter Pregelj, Polona Rus Prelog
2023	—	`ed.`	Proceedings of the International Workshop in Neurodevelopmental Impairments in Preterm Children - Computational Advancements (DETERMINED 2022), Ljubljana, Slovenia, August 26, 2022. DETERMINED Vida Groznik, Aleksander Sadikov, Umberto Michelucci, Marco Agostino Deriu
2022	—	`conf`	A new median filter application to deal with large windows of missing data in eye-gaze measurements. DETERMINED Arnaud Gucciardi, Monica Crotti, Nofar Ben Itzhak, Lisa Mailleux, Els Ortibus, Umberto Michelucci, Vida Groznik, Aleksander Sadikov
2022	B	`conf`	Awareness of Being Tested and Its Effect on Reading Behaviour. AIME Marta Malavolta, Emiliano Trimarco, Vida Groznik, Aleksander Sadikov
2022	—	`conf`	Eye-tracking test battery for detecting cognitive impairments in premature children. DETERMINED Andrea De Gobbis, Marta Malavolta, Emiliano Trimarco, Isabel Benavente-Fernández, Simón Pedro Lubián-López, Aleksander Sadikov, Vida Groznik
2022	—	`conf`	Eye-tracking test battery for newborns: A pilot feasibility study. DETERMINED Marta Malavolta, Andrea De Gobbis, Emiliano Trimarco, Isabel Benavente-Fernández, Simón Pedro Lubián-López, Vida Groznik, Aleksander Sadikov
2022	B	`conf`	MRI Reconstruction with LassoNet and Compressed Sensing. AIME Andrea De Gobbis, Aleksander Sadikov, Vida Groznik
2021	B	`conf`	Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi Task. AIME Alessia Gerbasi, Vida Groznik, Dejan Georgiev, Lucia Sacchi, Aleksander Sadikov
2021	B	`conf`	Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors. AIME Marco Cotogni, Lucia Sacchi, Dejan Georgiev, Aleksander Sadikov
2021	—	`conf`	Gaze Behaviour During Reading as a Predictor of Mild Cognitive Impairment. BHI Vida Groznik, Martin Mozina, Timotej Lazar, Dejan Georgiev, Aleksander Sadikov
2019	B	`conf`	Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease. AIME Teodora Matic, Somayeh Aghanavesi, Mevludin Memedi, Dag Nyholm, Filip Bergquist, Vida Groznik, Jure Zabkar, Aleksander Sadikov
2018	J	`jnl`	Rewrite Rules for Debugging Student Programs in Programming Tutors. IEEE Trans. Learn. Technol. Timotej Lazar, Aleksander Sadikov, Ivan Bratko
2017	J	`jnl`	Feasibility of spirography features for objective assessment of motor function in Parkinson's disease. Artif. Intell. Medicine Aleksander Sadikov, Vida Groznik, Martin Mozina, Jure Zabkar, Dag Nyholm, Mevludin Memedi, Ivan Bratko, Dejan Georgiev
2015	J	`jnl`	Automatic Spiral Analysis for Objective Assessment of Motor Symptoms in Parkinson's Disease. Sensors Mevludin Memedi, Aleksander Sadikov, Vida Groznik, Jure Zabkar, Martin Mozina, Filip Bergquist, Anders Johansson, Dietrich Haubenberger, Dag Nyholm
2015	—	`ch.`	Development, Debugging, and Assessment of ParkinsonCheck Attributes Through Visualisation. Health Monitoring and Personalized Feedback using Multimedia Data Vida Groznik, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko, Aleksander Sadikov
2015	B	`conf`	Feasibility of Spirography Features for Objective Assessment of Motor Symptoms in Parkinson's Disease. AIME Aleksander Sadikov, Jure Zabkar, Martin Mozina, Vida Groznik, Dag Nyholm, Mevludin Memedi
2014	—	`conf`	Attribute Visualisation for Computer-Aided Diagnosis: A Case Study. ICHI Vida Groznik, Aleksander Sadikov, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko
2014	A	`conf`	ParkinsonCheck Smart Phone App. ECAI Aleksander Sadikov, Vida Groznik, Jure Zabkar, Martin Mozina, Dejan Georgiev, Zvezdan Pirtosek, Ivan Bratko
2013	B	`conf`	Building an Intelligent Tutoring System for Chess Endgames. CSEDU Matej Guid, Martin Mozina, Ciril Bohak, Aleksander Sadikov, Ivan Bratko
2013	J	`jnl`	Elicitation of neurological knowledge with argument-based machine learning. Artif. Intell. Medicine Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko
2012	C	`conf`	ABML Knowledge Refinement Loop: A Case Study. ISMIS Matej Guid, Martin Mozina, Vida Groznik, Dejan Georgiev, Aleksander Sadikov, Zvezdan Pirtosek, Ivan Bratko
2012	B	`conf`	Goal-Oriented Conceptualization of Procedural Knowledge. ITS Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Ivan Bratko
2011	B	`conf`	Elicitation of Neurological Knowledge with ABML. AIME Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko
2010	B	`conf`	Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels. EDM Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec, Ivan Bratko
2010	—	`conf`	Learning to Explain with ABML. ExaCt Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko
2009	—	`conf`	Deriving Concepts and Strategies from Chess Tablebases. ACG Matej Guid, Martin Mozina, Aleksander Sadikov, Ivan Bratko
2008	A	`conf`	Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. ECAI Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko
2008	A	`conf`	LRTA. ECAI Aleksander Sadikov, Ivan Bratko
2008	—	`conf`	Learning Positional Features for Annotating Chess Games: A Case Study. Computers and Games Matej Guid, Martin Mozina, Jana Krivec, Aleksander Sadikov, Ivan Bratko
2006	—	`conf`	Automated Chess Tutor. Computers and Games Aleksander Sadikov, Martin Mozina, Matej Guid, Jana Krivec, Ivan Bratko
2006	J	`jnl`	Learning long-term chess strategies from databases. Mach. Learn. Aleksander Sadikov, Ivan Bratko
2006	A	`conf`	Pessimistic Heuristics Beat Optimistic Ones in Real-Time Search. ECAI Aleksander Sadikov, Ivan Bratko
2006	—	`conf`	Search Versus Knowledge Revisited Again. Computers and Games Aleksander Sadikov, Ivan Bratko
2005	J	`jnl`	Bias and pathology in minimax search. Theor. Comput. Sci. Aleksander Sadikov, Ivan Bratko, Igor Kononenko
2005	B	`conf`	GDV Measures Vitality? CBMS Igor Kononenko, Miha Sedej, Aleksander Sadikov
2003	—	`conf`	Search versus Knowledge: An Empirical Study of Minimax on KRK. ACG Aleksander Sadikov, Ivan Bratko, Igor Kononenko