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ORCIDJure Zabkar
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2020 – today
- 2024
[c14]Blaz Dobravec
, Jure Zabkar:
Addressing Reviewers Comments: Explaining Voltage Control Decisions: A Scenario-Based Approach in Deep Reinforcement Learning. ISMIS 2024: 216-230- 2020
- [j12]Domen Soberl, Ivan Bratko, Jure Zabkar:
Learning to Control a Quadcopter Qualitatively. J. Intell. Robotic Syst. 100(3): 1097-1110 (2020)
2010 – 2019
- 2019
- [j11]Martin Mozina, Janez Demsar, Ivan Bratko, Jure Zabkar:
Extreme value correction: a method for correcting optimistic estimations in rule learning. Mach. Learn. 108(2): 297-329 (2019) - [c13]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: 420-424 - 2018
- [j10]Mitja Lustrek, Jure Zabkar, Marko Grobelnik:
Introduction to the Special Anniversary Issue on "AI in Slovenia". Informatica (Slovenia) 42(1) (2018) - 2017
- [j9]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: 54-62 (2017) - 2016
- [j8]Jure Zabkar, Ivan Bratko, Janez Demsar:
Extracting qualitative relations from categorical data. Artif. Intell. 239: 54-69 (2016) - 2015
- [j7]Uros Bole, Ales Popovic, Jure Zabkar, Gregor Papa, Jurij Jaklic:
A case analysis of embryonic data mining success. Int. J. Inf. Manag. 35(2): 253-259 (2015) - [j6]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): 23727-23744 (2015) - [c12]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: 267-276 - [c11]Domen Soberl, Jure Zabkar, Ivan Bratko:
Qualitative Planning of Object Pushing by a Robot. ISMIS 2015: 410-419 - [p2]Vida Groznik, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko, Aleksander Sadikov:
Development, Debugging, and Assessment of ParkinsonCheck Attributes Through Visualisation. Health Monitoring and Personalized Feedback using Multimedia Data 2015: 47-71 - 2014
- [c10]Aleksander Sadikov, Vida Groznik, Jure Zabkar, Martin Mozina, Dejan Georgiev, Zvezdan Pirtosek, Ivan Bratko:
ParkinsonCheck Smart Phone App. ECAI 2014: 1213-1214 - [c9]Vida Groznik, Aleksander Sadikov, Martin Mozina, Jure Zabkar, Dejan Georgiev, Ivan Bratko:
Attribute Visualisation for Computer-Aided Diagnosis: A Case Study. ICHI 2014: 294-299 - 2013
- [c8]Jure Zabkar, Ales Leonardis:
Learning Compositional Hierarchies of a Sensorimotor System. IDA 2013: 450-461 - [c7]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning Qualitative Models from Numerical Data: Extended abstract. IJCAI 2013: 3195-3200 - 2011
- [j5]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning qualitative models from numerical data. Artif. Intell. 175(9-10): 1604-1619 (2011) - [j4]Aljaz Kosmerlj, Ivan Bratko, Jure Zabkar:
Embodied Concept Discovery through Qualitative Action Models. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 19(3): 453-475 (2011) - [j3]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning Predictive Qualitative Models with Padé. Informatica (Slovenia) 35(4): 435-444 (2011)
2000 – 2009
- 2009
- [p1]Ivan Bratko, Jure Zabkar, Martin Mozina:
Argument-Based Machine Learning. Argumentation in Artificial Intelligence 2009: 463-482 - 2008
- [c6]Gregor Leban, Jure Zabkar, Ivan Bratko:
An Experiment in Robot Discovery with ILP. ILP 2008: 77-90 - 2007
- [j2]Martin Mozina, Jure Zabkar, Ivan Bratko:
Argument based machine learning. Artif. Intell. 171(10-15): 922-937 (2007) - 2006
- [c5]Jure Zabkar, Martin Mozina, Jerneja Videcnik, Ivan Bratko:
Argument Based Machine Learning in a Medical Domain. COMMA 2006: 59-70 - [c4]Martin Mozina, Jure Zabkar, Ivan Bratko:
Argument Based Rule Learning. ECAI 2006: 504-508 - [c3]Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko:
Why Is Rule Learning Optimistic and How to Correct It. ECML 2006: 330-340 - [c2]Ivan Bratko, Martin Mozina, Jure Zabkar:
Argument-Based Machine Learning. ISMIS 2006: 11-17 - 2005
- [j1]Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko:
Argument Based Machine Learning Applied to Law. Artif. Intell. Law 13(1): 53-73 (2005) - [c1]Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko:
Application of Argument Based Machine Learning to Law. ICAIL 2005: 248-249
Coauthor Index
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