Jure Zabkar

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 7

Top Topics

Chronic Obstructive Pulmonary Disease

Categorical Data

Unsupervised Learning

Top Venues

Artif. Intell. Medicine

Publications

Blaz Dobravec, Jure Zabkar
Addressing Reviewers Comments: Explaining Voltage Control Decisions: A Scenario-Based Approach in Deep Reinforcement Learning. ISMIS (2024)
Domen Soberl, Ivan Bratko, Jure Zabkar
Learning to Control a Quadcopter Qualitatively. J. Intell. Robotic Syst. 100 (3) (2020)
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)
Martin Mozina, Janez Demsar, Ivan Bratko, Jure Zabkar
Extreme value correction: a method for correcting optimistic estimations in rule learning. Mach. Learn. 108 (2) (2019)
Mitja Lustrek, Jure Zabkar, Marko Grobelnik
Introduction to the Special Anniversary Issue on "AI in Slovenia". Informatica (Slovenia) 42 (1) (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)
Jure Zabkar, Ivan Bratko, Janez Demsar
Extracting qualitative relations from categorical data. Artif. Intell. 239 (2016)
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)
Domen Soberl, Jure Zabkar, Ivan Bratko
Qualitative Planning of Object Pushing by a Robot. ISMIS (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)
Uros Bole, Ales Popovic, Jure Zabkar, Gregor Papa, Jurij Jaklic
A case analysis of embryonic data mining success. Int. J. Inf. Manag. 35 (2) (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)
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
Learning Qualitative Models from Numerical Data: Extended abstract. IJCAI (2013)
Jure Zabkar, Ales Leonardis
Learning Compositional Hierarchies of a Sensorimotor System. IDA (2013)
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
Learning Predictive Qualitative Models with Padé. Informatica (Slovenia) 35 (4) (2011)
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
Learning qualitative models from numerical data. Artif. Intell. 175 (9-10) (2011)
Aljaz Kosmerlj, Ivan Bratko, Jure Zabkar
Embodied Concept Discovery through Qualitative Action Models. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19 (3) (2011)
Gregor Leban, Jure Zabkar, Ivan Bratko
An Experiment in Robot Discovery with ILP. ILP (2008)
Martin Mozina, Jure Zabkar, Ivan Bratko
Argument based machine learning. Artif. Intell. 171 (10-15) (2007)
Martin Mozina, Jure Zabkar, Ivan Bratko
Argument Based Rule Learning. ECAI (2006)
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko
Why Is Rule Learning Optimistic and How to Correct It. ECML (2006)
Ivan Bratko, Martin Mozina, Jure Zabkar
Argument-Based Machine Learning. ISMIS (2006)
Jure Zabkar, Martin Mozina, Jerneja Videcnik, Ivan Bratko
Argument Based Machine Learning in a Medical Domain. COMMA (2006)
Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko
Application of Argument Based Machine Learning to Law. ICAIL (2005)
Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko
Argument Based Machine Learning Applied to Law. Artif. Intell. Law 13 (1) (2005)