Jure Zabkar

According to our database, Jure Zabkar authored at least 26 papers between 2005 and 2020.

Collaborative distances:

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

2020

Learning to Control a Quadcopter Qualitatively.

Domen Soberl, Ivan Bratko, Jure Zabkar

J. Intell. Robotic Syst., 2020

2019

Extreme value correction: a method for correcting optimistic estimations in rule learning.

Martin Mozina, Janez Demsar, Ivan Bratko, Jure Zabkar

Mach. Learn., 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

Introduction to the Special Anniversary Issue on "AI in Slovenia".

Mitja Lustrek, Jure Zabkar, Marko Grobelnik

Informatica (Slovenia), 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

2016

Extracting qualitative relations from categorical data.

Jure Zabkar, Ivan Bratko, Janez Demsar

Artif. Intell., 2016

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

A case analysis of embryonic data mining success.

Uros Bole, Ales Popovic, Jure Zabkar, Gregor Papa, Jurij Jaklic

Int. J. Inf. Manag., 2015

Qualitative Planning of Object Pushing by a Robot.

Domen Soberl, Jure Zabkar, Ivan Bratko

Proceedings of the Foundations of Intelligent Systems - 22nd International Symposium, 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

Learning Qualitative Models from Numerical Data: Extended abstract.

Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar

Proceedings of the IJCAI 2013, 2013

Learning Compositional Hierarchies of a Sensorimotor System.

Jure Zabkar, Ales Leonardis

Proceedings of the Advances in Intelligent Data Analysis XII, 2013

2011

Learning Predictive Qualitative Models with Padé.

Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar

Informatica (Slovenia), 2011

Embodied Concept Discovery through Qualitative Action Models.

Aljaz Kosmerlj, Ivan Bratko, Jure Zabkar

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011

Learning qualitative models from numerical data.

Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar

Artif. Intell., 2011

2009

Argument-Based Machine Learning.

Ivan Bratko, Jure Zabkar, Martin Mozina

Proceedings of the Argumentation in Artificial Intelligence, 2009

2008

An Experiment in Robot Discovery with ILP.

Gregor Leban, Jure Zabkar, Ivan Bratko

Proceedings of the Inductive Logic Programming, 18th International Conference, 2008

2007

Argument based machine learning.

Martin Mozina, Jure Zabkar, Ivan Bratko

Artif. Intell., 2007

2006

Why Is Rule Learning Optimistic and How to Correct It.

Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko

Proceedings of the Machine Learning: ECML 2006, 2006

Argument Based Rule Learning.

Martin Mozina, Jure Zabkar, Ivan Bratko

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

Argument Based Machine Learning in a Medical Domain.

Jure Zabkar, Martin Mozina, Jerneja Videcnik, Ivan Bratko

Proceedings of the Computational Models of Argument: Proceedings of COMMA 2006, 2006

2005

Argument Based Machine Learning Applied to Law.

Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko

Artif. Intell. Law, 2005

Application of Argument Based Machine Learning to Law.

Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko

Proceedings of the Tenth International Conference on Artificial Intelligence and Law, 2005