Martin Mozina

发表

Automated Chess Tutor

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2006, Computers and Games.

Argument-Based Machine Learning

Ivan Bratko, Martin Mozina, Jure Zabkar, 2006, ISMIS.

Argument Based Machine Learning Applied to Law

Trevor J. M. Bench-Capon, Ivan Bratko, Martin Mozina, 2005, Artificial Intelligence and Law.

Automatic Extraction of AST Patterns for Debugging Student Programs

Ivan Bratko, Martin Mozina, Timotej Lazar, 2017, AIED.

Fighting Knowledge Acquisition Bottleneck with Argument Based Machine Learning

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2008, ECAI.

Specification of RDF and OWL Output for Single-Media, Deliverable INT 2.2

Martin Mozina, Alberto Lavelli, Spiros Nikolopoulos, 2007 .

Argument Based Machine Learning in a Medical Domain

Ivan Bratko, Martin Mozina, Jure Zabkar, 2006, COMMA.

Improving vehicle aeroacoustics using machine learning

Ivan Bratko, Martin Mozina, Damjan Kuznar, 2012, Eng. Appl. Artif. Intell..

Nomograms for visualizing support vector machines

Ivan Bratko, Martin Mozina, Blaz Zupan, 2005, KDD '05.

Automatic Spiral Analysis for Objective Assessment of Motor Symptoms in Parkinson’s Disease

Dietrich Haubenberger, Aleksander Sadikov, Martin Mozina, 2015, Sensors.

Orange: data mining toolbox in python

Martin Mozina, Marinka Zitnik, Blaz Zupan, 2013, J. Mach. Learn. Res..

Automated Feedback Generation for Argument-Based Intelligent Tutoring Systems

Martin Mozina, Matej Guid, Matevz Pavlic, 2019, CSEDU.

Identifying typical approaches and errors in Prolog programming with argument-based machine learning

Ivan Bratko, Martin Mozina, Timotej Lazar, 2018, Expert Syst. Appl..

Syntax-Based Analysis of Programming Concepts in Python

Martin Mozina, Timotej Lazar, 2018, AIED.

Deriving Concepts and Strategies from Chess Tablebases

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2009, ACG.

Elicitation of Neurological Knowledge with ABML

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2011, AIME.

Conceptualizing Procedural Knowledge Targeted at Students with Different Skill Levels

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2010, EDM.

Learning by Arguing in Argument-Based Machine Learning Framework

Martin Mozina, Matej Guid, Matevz Pavlic, 2019, ITS.

Learning to Explain with ABML

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2010, ExaCt.

ParkinsonCheck Smart Phone App

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2014, ECAI.

ParkinsonCheck A Decision Support System for Tremor Detection

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2015 .

Application of argument based machine learning to law

Trevor J. M. Bench-Capon, Ivan Bratko, Martin Mozina, 2005, ICAIL '05.

Argument Based Rule Learning

Ivan Bratko, Martin Mozina, Jure Zabkar, 2006, ECAI.

Feasibility of Spirography Features for Objective Assessment of Motor Symptoms in Parkinson's Disease

Aleksander Sadikov, Martin Mozina, Jure Zabkar, 2015, AIME.

ABML Knowledge Refinement Loop: A Case Study

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2012, ISMIS.

Learning Positional Features for Annotating Chess Games: A Case Study

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2008, Computers and Games.

Extreme value correction: a method for correcting optimistic estimations in rule learning

Ivan Bratko, Martin Mozina, Jure Zabkar, 2018, Machine Learning.

Argument based machine learning

Ivan Bratko, Martin Mozina, Jure Zabkar, 2006, Artif. Intell..

Argument Based Machine Learning from Examples and Text

Ivan Bratko, Martin Mozina, Claudio Giuliano, 2009, 2009 First Asian Conference on Intelligent Information and Database Systems.

Elicitation of neurological knowledge with argument-based machine learning

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2013, Artif. Intell. Medicine.

Nomograms for Visualization of Naive Bayesian Classifier

Martin Mozina, Blaz Zupan, Michael W. Kattan, 2004, PKDD.

Development, Debugging, and Assessment of ParkinsonCheck Attributes Through Visualisation

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2015, Health Monitoring and Personalized Feedback using Multimedia Data.

Designing an Interactive Teaching Tool with ABML Knowledge Refinement Loop

Ivan Bratko, Joze Rugelj, Martin Mozina, 2014, Intelligent Tutoring Systems.

Learning Qualitative Models from Numerical Data: Extended abstract

Ivan Bratko, Martin Mozina, Jure Zabkar, 2013, IJCAI.

Arguments in Interactive Machine Learning

Martin Mozina, 2018, Informatica.

Building an Intelligent Tutoring System for Chess Endgames

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2013, CSEDU.

Learning Predictive Qualitative Models with Padé

Ivan Bratko, Martin Mozina, Jure Zabkar, 2011, Informatica.

Learning qualitative models from numerical data

Ivan Bratko, Martin Mozina, Jure Zabkar, 2011, Artif. Intell..

Cross-Media Knowledge Extraction in the Car Manufacturing Industry

Martin Mozina, Spiros Nikolopoulos, José Iria, 2009, 2009 21st IEEE International Conference on Tools with Artificial Intelligence.

Attribute Visualisation for Computer-Aided Diagnosis: A Case Study

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2014, 2014 IEEE International Conference on Healthcare Informatics.

Goal-Oriented Conceptualization of Procedural Knowledge

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2012, ITS.

Feasibility of spirography features for objective assessment of motor function in Parkinson's disease

Ivan Bratko, Aleksander Sadikov, Martin Mozina, 2017, Artif. Intell. Medicine.

Gaze Behaviour During Reading as a Predictor of Mild Cognitive Impairment

Aleksander Sadikov, Martin Mozina, Timotej Lazar, 2021, 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI).

The frequency of adverse drug reaction related admissions according to method of detection, admission urgency and medical department specialty

Martin Mozina, Miran Brvar, M. Bunc, 2009, BMC clinical pharmacology.

Arguments Extracted from Text in Argument Based Machine Learning : A Case Study

Ivan Bratko, Martin Mozina, Claudio Giuliano, 2009 .

Predictive model for estimating risk of crush syndrome: a data mining approach.

Martin Mozina, Blaz Zupan, Janez Demsar, 2007, The Journal of trauma.