Jure Zabkar

30 papers A* 1A 2B 4C 5Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Robot Planning via LLM Proposals and Symbolic Verification.
Mach. Learn. Knowl. Extr.
Drejc Pesjak, Jure Zabkar
2025 J jnl
Scenario-Guided Temporal Prototypes in Reinforcement Learning.
Mach. Learn. Knowl. Extr.
Blaz Dobravec, Jure Zabkar
2024 C conf
Addressing Reviewers Comments: Explaining Voltage Control Decisions: A Scenario-Based Approach in Deep Reinforcement Learning.
ISMIS
Blaz Dobravec, Jure Zabkar
2020 J jnl
Learning to Control a Quadcopter Qualitatively.
J. Intell. Robotic Syst.
Domen Soberl, Ivan Bratko, Jure Zabkar
2019 J jnl
Extreme value correction: a method for correcting optimistic estimations in rule learning.
Mach. Learn.
Martin Mozina, Janez Demsar, Ivan Bratko, Jure Zabkar
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
Introduction to the Special Anniversary Issue on "AI in Slovenia".
Informatica (Slovenia)
Mitja Lustrek, Jure Zabkar, Marko Grobelnik
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
2016 J jnl
Extracting qualitative relations from categorical data.
Artif. Intell.
Jure Zabkar, Ivan Bratko, Janez Demsar
2015 J jnl
A case analysis of embryonic data mining success.
Int. J. Inf. Manag.
Uros Bole, Ales Popovic, Jure Zabkar, Gregor Papa, Jurij Jaklic
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
2015 C conf
Qualitative Planning of Object Pushing by a Robot.
ISMIS
Domen Soberl, Jure Zabkar, Ivan Bratko
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
Learning Compositional Hierarchies of a Sensorimotor System.
IDA
Jure Zabkar, Ales Leonardis
2013 A* conf
Learning Qualitative Models from Numerical Data: Extended abstract.
IJCAI
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
2011 J jnl
Embodied Concept Discovery through Qualitative Action Models.
Int. J. Uncertain. Fuzziness Knowl. Based Syst.
Aljaz Kosmerlj, Ivan Bratko, Jure Zabkar
2011 J jnl
Learning Predictive Qualitative Models with Padé.
Informatica (Slovenia)
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
2011 J jnl
Learning qualitative models from numerical data.
Artif. Intell.
Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar
2009 — ch.
Argument-Based Machine Learning.
Argumentation in Artificial Intelligence
Ivan Bratko, Jure Zabkar, Martin Mozina
2008 B conf
An Experiment in Robot Discovery with ILP.
ILP
Gregor Leban, Jure Zabkar, Ivan Bratko
2007 J jnl
Argument based machine learning.
Artif. Intell.
Martin Mozina, Jure Zabkar, Ivan Bratko
2006 C conf
Argument Based Machine Learning in a Medical Domain.
COMMA
Jure Zabkar, Martin Mozina, Jerneja Videcnik, Ivan Bratko
2006 A conf
Argument Based Rule Learning.
ECAI
Martin Mozina, Jure Zabkar, Ivan Bratko
2006 C conf
Argument-Based Machine Learning.
ISMIS
Ivan Bratko, Martin Mozina, Jure Zabkar
2006 — conf
Why Is Rule Learning Optimistic and How to Correct It.
ECML
Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko
2005 C conf
Application of Argument Based Machine Learning to Law.
ICAIL
Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko
2005 J jnl
Argument Based Machine Learning Applied to Law.
Artif. Intell. Law
Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko