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Martin Mozina
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2020 – today
- 2021
- [c29]Vida Groznik, Martin Mozina, Timotej Lazar, Dejan Georgiev, Aleksander Sadikov:
Gaze Behaviour During Reading as a Predictor of Mild Cognitive Impairment. BHI 2021: 1-4
2010 – 2019
- 2019
- [j12]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) - [c28]Matej Guid, Matevz Pavlic, Martin Mozina:
Automated Feedback Generation for Argument-Based Intelligent Tutoring Systems. CSEDU (1) 2019: 70-77 - [c27]Matej Guid, Martin Mozina, Matevz Pavlic, Klemen Tursic:
Learning by Arguing in Argument-Based Machine Learning Framework. ITS 2019: 112-122 - 2018
- [j11]Martin Mozina, Timotej Lazar, Ivan Bratko:
Identifying typical approaches and errors in Prolog programming with argument-based machine learning. Expert Syst. Appl. 112: 110-124 (2018) - [j10]Martin Mozina:
Arguments in Interactive Machine Learning. Informatica (Slovenia) 42(1) (2018) - [c26]Martin Mozina, Timotej Lazar:
Syntax-Based Analysis of Programming Concepts in Python. AIED (2) 2018: 236-240 - 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) - [c25]Timotej Lazar, Martin Mozina, Ivan Bratko:
Automatic Extraction of AST Patterns for Debugging Student Programs. AIED 2017: 162-174 - 2015
- [j8]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) - [c24]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 - [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
- [c23]Aleksander Sadikov, Vida Groznik, Jure Zabkar, Martin Mozina, Dejan Georgiev, Zvezdan Pirtosek, Ivan Bratko:
ParkinsonCheck Smart Phone App. ECAI 2014: 1213-1214 - [c22]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 - [c21]Matej Zapusek, Martin Mozina, Ivan Bratko, Joze Rugelj, Matej Guid:
Designing an Interactive Teaching Tool with ABML Knowledge Refinement Loop. Intelligent Tutoring Systems 2014: 575-582 - 2013
- [j7]Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko:
Elicitation of neurological knowledge with argument-based machine learning. Artif. Intell. Medicine 57(2): 133-144 (2013) - [j6]Janez Demsar, Tomaz Curk, Ales Erjavec, Crtomir Gorup, Tomaz Hocevar, Mitar Milutinovic, Martin Mozina, Matija Polajnar, Marko Toplak, Anze Staric, Miha Stajdohar, Lan Umek, Lan Zagar, Jure Zbontar, Marinka Zitnik, Blaz Zupan:
Orange: data mining toolbox in python. J. Mach. Learn. Res. 14(1): 2349-2353 (2013) - [c20]Matej Guid, Martin Mozina, Ciril Bohak, Aleksander Sadikov, Ivan Bratko:
Building an Intelligent Tutoring System for Chess Endgames. CSEDU 2013: 263-266 - [c19]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning Qualitative Models from Numerical Data: Extended abstract. IJCAI 2013: 3195-3200 - 2012
- [j5]Damjan Kuznar, Martin Mozina, Marina Giordanino, Ivan Bratko:
Improving vehicle aeroacoustics using machine learning. Eng. Appl. Artif. Intell. 25(5): 1053-1061 (2012) - [c18]Matej Guid, Martin Mozina, Vida Groznik, Dejan Georgiev, Aleksander Sadikov, Zvezdan Pirtosek, Ivan Bratko:
ABML Knowledge Refinement Loop: A Case Study. ISMIS 2012: 41-50 - [c17]Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Ivan Bratko:
Goal-Oriented Conceptualization of Procedural Knowledge. ITS 2012: 286-291 - 2011
- [j4]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning qualitative models from numerical data. Artif. Intell. 175(9-10): 1604-1619 (2011) - [j3]Jure Zabkar, Martin Mozina, Ivan Bratko, Janez Demsar:
Learning Predictive Qualitative Models with Padé. Informatica (Slovenia) 35(4): 435-444 (2011) - [c16]Vida Groznik, Matej Guid, Aleksander Sadikov, Martin Mozina, Dejan Georgiev, Veronika Kragelj, Samo Ribaric, Zvezdan Pirtosek, Ivan Bratko:
Elicitation of Neurological Knowledge with ABML. AIME 2011: 14-23 - 2010
- [c15]Martin Mozina, Matej Guid, Aleksander Sadikov, Vida Groznik, Jana Krivec, Ivan Bratko:
Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels. EDM 2010: 309-310 - [c14]Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko:
Learning to Explain with ABML. ExaCt 2010: 37-48
2000 – 2009
- 2009
- [c13]Matej Guid, Martin Mozina, Aleksander Sadikov, Ivan Bratko:
Deriving Concepts and Strategies from Chess Tablebases. ACG 2009: 195-207 - [c12]Martin Mozina, Claudio Giuliano, Ivan Bratko:
Argument Based Machine Learning from Examples and Text. ACIIDS 2009: 18-23 - [c11]José Iria, Spiros Nikolopoulos, Martin Mozina:
Cross-Media Knowledge Extraction in the Car Manufacturing Industry. ICTAI 2009: 219-223 - [p1]Ivan Bratko, Jure Zabkar, Martin Mozina:
Argument-Based Machine Learning. Argumentation in Artificial Intelligence 2009: 463-482 - 2008
- [c10]Matej Guid, Martin Mozina, Jana Krivec, Aleksander Sadikov, Ivan Bratko:
Learning Positional Features for Annotating Chess Games: A Case Study. Computers and Games 2008: 192-204 - [c9]Martin Mozina, Matej Guid, Jana Krivec, Aleksander Sadikov, Ivan Bratko:
Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. ECAI 2008: 234-238 - 2007
- [j2]Martin Mozina, Jure Zabkar, Ivan Bratko:
Argument based machine learning. Artif. Intell. 171(10-15): 922-937 (2007) - 2006
- [c8]Aleksander Sadikov, Martin Mozina, Matej Guid, Jana Krivec, Ivan Bratko:
Automated Chess Tutor. Computers and Games 2006: 13-25 - [c7]Jure Zabkar, Martin Mozina, Jerneja Videcnik, Ivan Bratko:
Argument Based Machine Learning in a Medical Domain. COMMA 2006: 59-70 - [c6]Martin Mozina, Jure Zabkar, Ivan Bratko:
Argument Based Rule Learning. ECAI 2006: 504-508 - [c5]Martin Mozina, Janez Demsar, Jure Zabkar, Ivan Bratko:
Why Is Rule Learning Optimistic and How to Correct It. ECML 2006: 330-340 - [c4]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) - [c3]Martin Mozina, Jure Zabkar, Trevor J. M. Bench-Capon, Ivan Bratko:
Application of Argument Based Machine Learning to Law. ICAIL 2005: 248-249 - [c2]Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan Bratko, Blaz Zupan:
Nomograms for visualizing support vector machines. KDD 2005: 108-117 - 2004
- [c1]Martin Mozina, Janez Demsar, Michael W. Kattan, Blaz Zupan:
Nomograms for Visualization of Naive Bayesian Classifier. PKDD 2004: 337-348
Coauthor Index
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