Marko Robnik-Sikonja

According to our database1, Marko Robnik-Sikonja
  • authored at least 41 papers between 1997 and 2017.
  • has a "Dijkstra number"2 of five.

Timeline

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Bibliography

2017
Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017.
Machine Learning, 2017

Decision-making framework with double-loop learning through interpretable black-box machine learning models.
Industrial Management and Data Systems, 2017

ClowdFlows: Online workflows for distributed big data mining.
Future Generation Comp. Syst., 2017

Refinement and selection heuristics in subgroup discovery and classification rule learning.
Expert Syst. Appl., 2017

Explaining machine learning models in sales predictions.
Expert Syst. Appl., 2017

Introduction to the special issue dedicated to the Journal Track of ECML PKDD 2017.
Data Min. Knowl. Discov., 2017

Combining Multitask Learning and Short Time Series Analysis in Parkinson's Disease Patients Stratification.
Proceedings of the Artificial Intelligence in Medicine, 2017

2016
Data Generators for Learning Systems Based on RBF Networks.
IEEE Trans. Neural Netw. Learning Syst., 2016

Obtaining structural descriptions of building façades.
Comput. Sci. Inf. Syst., 2016

Co-Bidding Graphs for Constrained Paper Clustering.
Proceedings of the 5th Symposium on Languages, Applications and Technologies, 2016

Multi-view Approach to Parkinson's Disease Quality of Life Data Analysis.
Proceedings of the New Frontiers in Mining Complex Patterns - 5th International Workshop, 2016

2015
Predictive power of fantasy sports data for soccer forecasting.
IJDMMM, 2015

Assessment of surveys for the management of hospital clinical pharmacy services.
Artificial Intelligence in Medicine, 2015

Heterogeneous Network Decomposition and Weighting with Text Mining Heuristics.
Proceedings of the New Frontiers in Mining Complex Patterns - 4th International Workshop, 2015

Mining Text Enriched Heterogeneous Citation Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Evaluation of drug and disease influence on occurrence of hyperkalemia: a data mining approach.
Proceedings of the Digital Healthcare Empowering Europeans, 2015

Integration of machine learning insights into organizational learning: A case of B2B sales forecasting.
Proceedings of the 28th Bled eConference: s#eWellBeing, 2015

2014
Handling numeric attributes with ant colony based classifier for medical decision making.
Expert Syst. Appl., 2014

Data generator based on RBF network.
CoRR, 2014

Identifying roles of clinical pharmacy with survey evaluation.
CoRR, 2014

2013
Explanation and Reliability of Individual Predictions.
Informatica (Slovenia), 2013

Efficiently explaining the predictions of a probabilistic radial basis function classification network.
Intell. Data Anal., 2013

2012
Quality of classification explanations with PRBF.
Neurocomputing, 2012

2011
Efficiently Explaining Decisions of Probabilistic RBF Classification Networks.
Proceedings of the Adaptive and Natural Computing Algorithms, 2011

2009
Context-Sensitive Attribute Evaluation.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Explaining instance classifications with interactions of subsets of feature values.
Data Knowl. Eng., 2009

Learning Betting Tips from Users' Bet Selections.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

Ordinal Evaluation: A New Perspective on Country Images.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

2008
Explaining Classifications For Individual Instances.
IEEE Trans. Knowl. Data Eng., 2008

Learning Random Numbers: a MATLAB Anomaly.
Applied Artificial Intelligence, 2008

2007
Evaluation of ordinal attributes at value level.
Data Min. Knowl. Discov., 2007

2004
Improving Random Forests.
Proceedings of the Machine Learning: ECML 2004, 2004

2003
Theoretical and Empirical Analysis of ReliefF and RReliefF.
Machine Learning, 2003

Comprehensible evaluation of prognostic factors and prediction of wound healing.
Artificial Intelligence in Medicine, 2003

Experiments with Cost-Sensitive Feature Evaluation.
Proceedings of the Machine Learning: ECML 2003, 2003

2001
Comprehensible Interpretation of Relief's Estimates.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

Evaluation of Prognostic Factors and Prediction of Chronic Wound Healing Rate by Machine Learning Tools.
Proceedings of the Artificial Intelligence Medicine, 2001

1999
Attribute Dependencies, Understandability and Split Selection in Tree Based Models.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

1998
Pruning Regression Trees with MDL.
ECAI, 1998

1997
Overcoming the Myopia of Inductive Learning Algorithms with RELIEFF.
Appl. Intell., 1997

An adaptation of Relief for attribute estimation in regression.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997


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