Nomograms for Visualization of Naive Bayesian Classifier. - Martin Mozina; Janez Demsar; Michael W. Kattan; Blaz Zupan (PKDD, 2004)

Application of Argument Based Machine Learning to Law. - Martin Mozina; Jure Zabkar; Trevor J. M. Bench-Capon; Ivan Bratko (ICAIL, 2005)

Nomograms for visualizing support vector machines. - Aleks Jakulin; Martin Mozina; Janez Demsar; Ivan Bratko; Blaz Zupan (KDD, 2005)

Argument Based Machine Learning Applied to Law. - Martin Mozina; Jure Zabkar; Trevor J. M. Bench-Capon; Ivan Bratko (Artif. Intell. Law, 2005)

Automated Chess Tutor. - Aleksander Sadikov; Martin Mozina; Matej Guid; Jana Krivec; Ivan Bratko (Computers and Games, 2006)

Argument Based Machine Learning in a Medical Domain. - Jure Zabkar; Martin Mozina; Jerneja Videcnik; Ivan Bratko (COMMA, 2006)

Argument Based Rule Learning. - Martin Mozina; Jure Zabkar; Ivan Bratko (ECAI, 2006)

Why Is Rule Learning Optimistic and How to Correct It. - Martin Mozina; Janez Demsar; Jure Zabkar; Ivan Bratko (ECML, 2006)

Argument based machine learning. - Martin Mozina; Jure Zabkar; Ivan Bratko (Artif. Intell., 2007)

Learning Positional Features for Annotating Chess Games: A Case Study. - Matej Guid; Martin Mozina; Jana Krivec; Aleksander Sadikov; Ivan Bratko (Computers and Games, 2008)

Cross-Media Knowledge Acquisition: A Case Study. - Marina Giordanino; Claudio Giuliano; Damjan Kuznar; Alberto Lavelli; Martin Mozina; Lorenza Romano (CIAEM, 2008)

Arguments Extracted from Text in Argument Based Machine Learning: A Case Study. - Martin Mozina; Claudio Giuliano; Ivan Bratko (CIAEM, 2008)

Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning. - Martin Mozina; Matej Guid; Jana Krivec; Aleksander Sadikov; Ivan Bratko (ECAI, 2008)

Argument-Based Machine Learning. - Ivan Bratko; Jure Zabkar; Martin Mozina (Argumentation in Artificial Intelligence, 2009)

Deriving Concepts and Strategies from Chess Tablebases. - Matej Guid; Martin Mozina; Aleksander Sadikov; Ivan Bratko (ACG, 2009)

Argument Based Machine Learning from Examples and Text. - Martin Mozina; Claudio Giuliano; Ivan Bratko (ACIIDS, 2009)

Cross-Media Knowledge Extraction in the Car Manufacturing Industry. - José Iria; Spiros Nikolopoulos; Martin Mozina (ICTAI, 2009)

Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels. - Martin Mozina; Matej Guid; Aleksander Sadikov; Vida Groznik; Jana Krivec; Ivan Bratko (EDM, 2010)

Learning to Explain with ABML. - Martin Mozina; Matej Guid; Jana Krivec; Aleksander Sadikov; Ivan Bratko (ExaCt, 2010)

Elicitation of Neurological Knowledge with ABML. - Vida Groznik; Matej Guid; Aleksander Sadikov; Martin Mozina; Dejan Georgiev; Veronika Kragelj; Samo Ribaric; Zvezdan Pirtosek; Ivan Bratko (AIME, 2011)

Learning qualitative models from numerical data. - Jure Zabkar; Martin Mozina; Ivan Bratko; Janez Demsar (Artif. Intell., 2011)

Learning Predictive Qualitative Models with Padé. - Jure Zabkar; Martin Mozina; Ivan Bratko; Janez Demsar (Informatica (Slovenia), 2011)

ABML Knowledge Refinement Loop: A Case Study. - Matej Guid; Martin Mozina; Vida Groznik; Dejan Georgiev; Aleksander Sadikov; Zvezdan Pirtosek; Ivan Bratko (ISMIS, 2012)

Goal-Oriented Conceptualization of Procedural Knowledge. - Martin Mozina; Matej Guid; Aleksander Sadikov; Vida Groznik; Ivan Bratko (ITS, 2012)

Improving vehicle aeroacoustics using machine learning. - Damjan Kuznar; Martin Mozina; Marina Giordanino; Ivan Bratko (Eng. Appl. Artif. Intell., 2012)

Building an Intelligent Tutoring System for Chess Endgames. - Matej Guid; Martin Mozina; Ciril Bohak; Aleksander Sadikov; Ivan Bratko (CSEDU, 2013)

Learning Qualitative Models from Numerical Data: Extended abstract. - Jure Zabkar; Martin Mozina; Ivan Bratko; Janez Demsar (IJCAI, 2013)

Elicitation of neurological knowledge with argument-based machine learning. - Vida Groznik; Matej Guid; Aleksander Sadikov; Martin Mozina; Dejan Georgiev; Veronika Kragelj; Samo Ribaric; Zvezdan Pirtosek; Ivan Bratko (Artif. Intell. Medicine, 2013)

Orange: data mining toolbox in python. - Janez Demsar; Tomaz Curk; Ales Erjavec; Crtomir Gorup; Tomaz Hocevar; Mitar Milutinovic; Martin Mozina; Matija Polajnar; Marko Toplak; Anze Staric; Miha Stajdohar; Lan Umek; et al. (J. Mach. Learn. Res., 2013)

ParkinsonCheck Smart Phone App. - Aleksander Sadikov; Vida Groznik; Jure Zabkar; Martin Mozina; Dejan Georgiev; Zvezdan Pirtosek; Ivan Bratko (ECAI, 2014)

Attribute Visualisation for Computer-Aided Diagnosis: A Case Study. - Vida Groznik; Aleksander Sadikov; Martin Mozina; Jure Zabkar; Dejan Georgiev; Ivan Bratko (ICHI, 2014)

Designing an Interactive Teaching Tool with ABML Knowledge Refinement Loop. - Matej Zapusek; Martin Mozina; Ivan Bratko; Joze Rugelj; Matej Guid (Intelligent Tutoring Systems, 2014)

Development, Debugging, and Assessment of ParkinsonCheck Attributes Through Visualisation. - Vida Groznik; Martin Mozina; Jure Zabkar; Dejan Georgiev; Ivan Bratko; Aleksander Sadikov (Health Monitoring and Personalized Feedback using Multimedia Data, 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 (AIME, 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)

Automatic Extraction of AST Patterns for Debugging Student Programs. - Timotej Lazar; Martin Mozina; Ivan Bratko (AIED, 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)

Syntax-Based Analysis of Programming Concepts in Python. - Martin Mozina; Timotej Lazar (AIED (2), 2018)

Identifying typical approaches and errors in Prolog programming with argument-based machine learning. - Martin Mozina; Timotej Lazar; Ivan Bratko (Expert Syst. Appl., 2018)

Arguments in Interactive Machine Learning. - Martin Mozina (Informatica (Slovenia), 2018)

Automated Feedback Generation for Argument-Based Intelligent Tutoring Systems. - Matej Guid; Matevz Pavlic; Martin Mozina (CSEDU (1), 2019)

Learning by Arguing in Argument-Based Machine Learning Framework. - Matej Guid; Martin Mozina; Matevz Pavlic; Klemen Tursic (ITS, 2019)

Extreme value correction: a method for correcting optimistic estimations in rule learning. - Martin Mozina; Janez Demsar; Ivan Bratko; Jure Zabkar (Mach. Learn., 2019)

Gaze Behaviour During Reading as a Predictor of Mild Cognitive Impairment. - Vida Groznik; Martin Mozina; Timotej Lazar; Dejan Georgiev; Aleksander Sadikov (BHI, 2021)