Aleksander Sadikov

Publication Activity (10 Years)

Years Active: 2003-2022
Publications (10 Years): 11

Top Topics

Mild Cognitive Impairment

Intelligent Tutor

Top Venues

Artif. Intell. Medicine

IEEE Trans. Learn. Technol.

Publications

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)
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)
Marta Malavolta, Emiliano Trimarco, Vida Groznik, Aleksander Sadikov
Awareness of Being Tested and Its Effect on Reading Behaviour. AIME (2022)
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)
Andrea De Gobbis, Aleksander Sadikov, Vida Groznik
MRI Reconstruction with LassoNet and Compressed Sensing. AIME (2022)
Marco Cotogni, Lucia Sacchi, Dejan Georgiev, Aleksander Sadikov
Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors. AIME (2021)
Alessia Gerbasi, Vida Groznik, Dejan Georgiev, Lucia Sacchi, Aleksander Sadikov
Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi Task. AIME (2021)
Vida Groznik, Martin Mozina, Timotej Lazar, Dejan Georgiev, Aleksander Sadikov
Gaze Behaviour During Reading as a Predictor of Mild Cognitive Impairment. BHI (2021)
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)
Timotej Lazar, Aleksander Sadikov, Ivan Bratko
Rewrite Rules for Debugging Student Programs in Programming Tutors. IEEE Trans. Learn. Technol. 11 (4) (2018)
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 (2017)
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)
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) (2015)
Aleksander Sadikov, Vida Groznik, Jure Zabkar, Martin Mozina, Dejan Georgiev, Zvezdan Pirtosek, Ivan Bratko
ParkinsonCheck Smart Phone App. ECAI (2014)
Vida Groznik, Aleksander Sadikov, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko
Attribute Visualisation for Computer-Aided Diagnosis: A Case Study. ICHI (2014)
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) (2013)
Matej Guid, Martin Mozina, Ciril Bohak, Aleksander Sadikov, Ivan Bratko
Building an Intelligent Tutoring System for Chess Endgames. CSEDU (2013)
Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Ivan Bratko
Goal-Oriented Conceptualization of Procedural Knowledge. ITS (2012)
Matej Guid, Martin Mozina, Vida Groznik, Dejan Georgiev, Aleksander Sadikov, Zvezdan Pirtosek, Ivan Bratko
ABML Knowledge Refinement Loop: A Case Study. ISMIS (2012)
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)
Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko
Learning to Explain with ABML. ExaCt (2010)
Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec, Ivan Bratko
Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels. EDM (2010)
Matej Guid, Martin Mozina, Aleksander Sadikov, Ivan Bratko
Deriving Concepts and Strategies from Chess Tablebases. ACG (2009)
Aleksander Sadikov, Ivan Bratko
LRTA. ECAI (2008)
Matej Guid, Martin Mozina, Jana Krivec, Aleksander Sadikov, Ivan Bratko
Learning Positional Features for Annotating Chess Games: A Case Study. Computers and Games (2008)
Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko
Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. ECAI (2008)
Aleksander Sadikov, Ivan Bratko
Pessimistic Heuristics Beat Optimistic Ones in Real-Time Search. ECAI (2006)
Aleksander Sadikov, Martin Mozina, Matej Guid, Jana Krivec, Ivan Bratko
Automated Chess Tutor. Computers and Games (2006)
Aleksander Sadikov, Ivan Bratko
Search Versus Knowledge Revisited Again. Computers and Games (2006)
Aleksander Sadikov, Ivan Bratko
Learning long-term chess strategies from databases. Mach. Learn. 63 (3) (2006)
Igor Kononenko, Miha Sedej, Aleksander Sadikov
GDV Measures Vitality? CBMS (2005)
Aleksander Sadikov, Ivan Bratko, Igor Kononenko
Bias and pathology in minimax search. Theor. Comput. Sci. 349 (2) (2005)
Aleksander Sadikov, Ivan Bratko, Igor Kononenko
Search versus Knowledge: An Empirical Study of Minimax on KRK. ACG (2003)