Aleksander Sadikov

According to our database, Aleksander Sadikov authored at least 34 papers between 2003 and 2022.

Collaborative distances:

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

2022

Eye-tracking test battery for newborns: A pilot feasibility study.

Marta Malavolta, Andrea De Gobbis, Emiliano Trimarco, Isabel Benavente-Fernández, Simón Pedro Lubián-López, Vida Groznik, Aleksander Sadikov

Proceedings of the International Workshop in Neurodevelopmental Impairments in Preterm Children, 2022

A new median filter application to deal with large windows of missing data in eye-gaze measurements.

Arnaud Gucciardi, Monica Crotti, Nofar Ben Itzhak, Lisa Mailleux, Els Ortibus, Umberto Michelucci, Vida Groznik, Aleksander Sadikov

Proceedings of the International Workshop in Neurodevelopmental Impairments in Preterm Children, 2022

Eye-tracking test battery for detecting cognitive impairments in premature children.

Andrea De Gobbis, Marta Malavolta, Emiliano Trimarco, Isabel Benavente-Fernández, Simón Pedro Lubián-López, Aleksander Sadikov, Vida Groznik

Proceedings of the International Workshop in Neurodevelopmental Impairments in Preterm Children, 2022

Awareness of Being Tested and Its Effect on Reading Behaviour.

Marta Malavolta, Emiliano Trimarco, Vida Groznik, Aleksander Sadikov

Proceedings of the Artificial Intelligence in Medicine, 2022

MRI Reconstruction with LassoNet and Compressed Sensing.

Andrea De Gobbis, Aleksander Sadikov, Vida Groznik

Proceedings of the Artificial Intelligence in Medicine, 2022

2021

Gaze Behaviour During Reading as a Predictor of Mild Cognitive Impairment.

Vida Groznik, Martin Mozina, Timotej Lazar, Dejan Georgiev, Aleksander Sadikov

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

Detecting Mild Cognitive Impairment Using Smooth Pursuit and a Modified Corsi Task.

Alessia Gerbasi, Vida Groznik, Dejan Georgiev, Lucia Sacchi, Aleksander Sadikov

Proceedings of the Artificial Intelligence in Medicine, 2021

Detection of Parkinson's Disease Early Progressors Using Routine Clinical Predictors.

Marco Cotogni, Lucia Sacchi, Dejan Georgiev, Aleksander Sadikov

Proceedings of the Artificial Intelligence in Medicine, 2021

2019

Unsupervised Learning from Motion Sensor Data to Assess the Condition of Patients with Parkinson's Disease.

Teodora Matic, Somayeh Aghanavesi, Mevludin Memedi, Dag Nyholm, Filip Bergquist, Vida Groznik, Jure Zabkar, Aleksander Sadikov

Proceedings of the Artificial Intelligence in Medicine, 2019

2018

Rewrite Rules for Debugging Student Programs in Programming Tutors.

Timotej Lazar, Aleksander Sadikov, Ivan Bratko

IEEE Trans. Learn. Technol., 2018

2017

Feasibility of spirography features for objective assessment of motor function in Parkinson's disease.

Aleksander Sadikov, Vida Groznik, Martin Mozina, Jure Zabkar, Dag Nyholm, Mevludin Memedi, Ivan Bratko, Dejan Georgiev

Artif. Intell. Medicine, 2017

2015

Automatic Spiral Analysis for Objective Assessment of Motor Symptoms in Parkinson's Disease.

Mevludin Memedi, Aleksander Sadikov, Vida Groznik, Jure Zabkar, Martin Mozina, Filip Bergquist, Anders Johansson, Dietrich Haubenberger, Dag Nyholm

Sensors, 2015

Feasibility of Spirography Features for Objective Assessment of Motor Symptoms in Parkinson's Disease.

Aleksander Sadikov, Jure Zabkar, Martin Mozina, Vida Groznik, Dag Nyholm, Mevludin Memedi

Proceedings of the Artificial Intelligence in Medicine, 2015

Development, Debugging, and Assessment of ParkinsonCheck Attributes Through Visualisation.

Vida Groznik, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko, Aleksander Sadikov

Proceedings of the Health Monitoring and Personalized Feedback using Multimedia Data, 2015

2014

Attribute Visualisation for Computer-Aided Diagnosis: A Case Study.

Vida Groznik, Aleksander Sadikov, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko

Proceedings of the 2014 IEEE International Conference on Healthcare Informatics, 2014

ParkinsonCheck Smart Phone App.

Aleksander Sadikov, Vida Groznik, Jure Zabkar, Martin Mozina, Dejan Georgiev, Zvezdan Pirtosek, Ivan Bratko

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

2013

Elicitation of neurological knowledge with argument-based machine learning.

Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko

Artif. Intell. Medicine, 2013

Building an Intelligent Tutoring System for Chess Endgames.

Matej Guid, Martin Mozina, Ciril Bohak, Aleksander Sadikov, Ivan Bratko

Proceedings of the CSEDU 2013, 2013

2012

Goal-Oriented Conceptualization of Procedural Knowledge.

Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Ivan Bratko

Proceedings of the Intelligent Tutoring Systems - 11th International Conference, 2012

ABML Knowledge Refinement Loop: A Case Study.

Matej Guid, Martin Mozina, Vida Groznik, Dejan Georgiev, Aleksander Sadikov, Zvezdan Pirtosek, Ivan Bratko

Proceedings of the Foundations of Intelligent Systems - 20th International Symposium, 2012

2011

Elicitation of Neurological Knowledge with ABML.

Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko

Proceedings of the Artificial Intelligence in Medicine, 2011

2010

Learning to Explain with ABML.

Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko

Proceedings of the Explanation-aware Computing, 2010

Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels.

Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec, Ivan Bratko

Proceedings of the Educational Data Mining 2010, 2010

2009

Deriving Concepts and Strategies from Chess Tablebases.

Matej Guid, Martin Mozina, Aleksander Sadikov, Ivan Bratko

Proceedings of the Advances in Computer Games, 12th International Conference, 2009

2008

LRTA.

Aleksander Sadikov, Ivan Bratko

Proceedings of the ECAI 2008, 2008

Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning.

Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko

Proceedings of the ECAI 2008, 2008

Learning Positional Features for Annotating Chess Games: A Case Study.

Matej Guid, Martin Mozina, Jana Krivec, Aleksander Sadikov, Ivan Bratko

Proceedings of the Computers and Games, 6th International Conference, CG 2008, Beijing, 2008

2006

Learning long-term chess strategies from databases.

Aleksander Sadikov, Ivan Bratko

Mach. Learn., 2006

Pessimistic Heuristics Beat Optimistic Ones in Real-Time Search.

Aleksander Sadikov, Ivan Bratko

Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Automated Chess Tutor.

Aleksander Sadikov, Martin Mozina, Matej Guid, Jana Krivec, Ivan Bratko

Proceedings of the Computers and Games, 5th International Conference, 2006

Search Versus Knowledge Revisited Again.

Aleksander Sadikov, Ivan Bratko

Proceedings of the Computers and Games, 5th International Conference, 2006

2005

Bias and pathology in minimax search.

Aleksander Sadikov, Ivan Bratko, Igor Kononenko

Theor. Comput. Sci., 2005

GDV Measures Vitality?

Igor Kononenko, Miha Sedej, Aleksander Sadikov

Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

2003

Search versus Knowledge: An Empirical Study of Minimax on KRK.

Aleksander Sadikov, Ivan Bratko, Igor Kononenko

Proceedings of the Advances in Computer Games, 2003