Miroslav Kubat

According to our database1, Miroslav Kubat authored at least 79 papers between 1989 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2017
LFDA model for the assessment of water quality through Microtox® using excitation-emission matrices.
Intell. Data Anal., 2017

Automatic tumor segmentation in single-spectral MRI using a texture-based and contour-based algorithm.
Expert Syst. Appl., 2017

An Introduction to Machine Learning, Second Edition
Springer, ISBN: 978-3-319-63912-3, 2017

2015
PruDent: A Pruned and Confident Stacking Approach for Multi-Label Classification.
IEEE Trans. Knowl. Data Eng., 2015

LDA-based probabilistic graphical model for excitation-emission matrices.
Intell. Data Anal., 2015

Brain tumors detection and segmentation in MR images: Gabor wavelet vs. statistical features.
Computers & Electrical Engineering, 2015

Automatic tumor lesion detection and segmentation using modified winnow algorithm.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

An Introduction to Machine Learning
Springer, ISBN: 978-3-319-20010-1, 2015

2014
Hierarchical multi-label classification with SVMs: A case study in gene function prediction.
Intell. Data Anal., 2014

2013
Vocabulary Richness Measure in Genres.
Journal of Quantitative Linguistics, 2013

Improving SVM Performance in Multi-Label Domains: Threshold Adjustment.
International Journal on Artificial Intelligence Tools, 2013

MeMO : Membership-Based Minority Oversampling for Class Balancing.
Proceedings of the Advances in Data Mining, 13th Industrial Conference, 2013

2011
CoFiDS: A Belief-Theoretic Approach for Automated Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2011

Irrelevant attributes and imbalanced classes in multi-label text-categorization domains.
Intell. Data Anal., 2011

2010
Induction in Multi-Label Text Classification Domains.
Proceedings of the Advances in Machine Learning II, 2010

Instinct-Based Mating in Genetic Algorithms Applied to the Tuning of 1-NN Classifiers.
IEEE Trans. Knowl. Data Eng., 2010

2009
Predicting Missing Items in Shopping Carts.
IEEE Trans. Knowl. Data Eng., 2009

Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains.
Proceedings of the New Frontiers in Applied Data Mining, 2009

Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data.
Proceedings of the ICDM Workshops 2009, 2009

Rule Mining and Missing-Value Prediction in the Presence of Data Ambiguities.
Proceedings of the Twenty-Second International Florida Artificial Intelligence Research Society Conference, 2009

2008
Using Association Rules for Classification from Databases Having Class Label Ambiguities: A Belief Theoretic Method.
Proceedings of the Data Mining: Foundations and Practice, 2008

Handling Ambiguous Values in Instance-Based Classifiers.
International Journal on Artificial Intelligence Tools, 2008

Discovering numeric laws, a case study: CO_2 fugacity in the ocean.
Intell. Data Anal., 2008

Induction from Multi-Label Examples in Information Retrieval Systems: a Case Study.
Applied Artificial Intelligence, 2008

2007
Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study.
IEEE Trans. Knowl. Data Eng., 2007

Search engine ranking efficiency evaluation tool.
SIGCSE Bulletin, 2007

A Tool to Personalize the Ranking of the Documents Returned by an Internet Search Engine.
JCIT, 2007

Induction from Multi-Label Training Examples in Text Categorization: Combining Subclassifiers (a Case Study).
Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

Automated Search for the Quantitative Laws Affecting CO2 Fugacity in Sea Water.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

Instance-Based Classifiers Dealing with Ambiguous Attributes and Class Labels.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

2006
Searching for high-support itemsets in itemset trees.
Intell. Data Anal., 2006

2005
Association mining in time-varying domains.
Intell. Data Anal., 2005

Query Size Estimation Using Clustering Techniques.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

2004
Incremental learning and concept drift: Editor's introduction.
Intell. Data Anal., 2004

Induction in Time-Varying Domains: Motivation, Origins, and Encouragements.
Proceedings of the 11th IEEE International Conference on the Engineering of Computer-Based Systems (ECBS 2004), 2004

2003
Itemset Trees for Targeted Association Querying.
IEEE Trans. Knowl. Data Eng., 2003

Selecting representative examples and attributes by a genetic algorithm.
Intell. Data Anal., 2003

Association Mining in Gradually Changing Domains.
Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

2002
Modifying Upstart for Use in Multiclass Numerical Domains.
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

2001
A reduction technique for nearest-neighbor classification: Small groups of examples.
Intell. Data Anal., 2001

AAAI 2000 Workshop Reports.
AI Magazine, 2001

Using the Genetic Algorithm to Reduce the Size of a Nearest-Neighbor Classifier and to Select Relevant Attributes.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001

2000
Designing neural network architectures for pattern recognition.
Knowledge Eng. Review, 2000

Recycling Decision Trees in Numeric Domains.
Informatica (Slovenia), 2000

Learning Middle Game Patterns in Chess: A Case Study.
Proceedings of the Intelligent Problem Solving, 2000

Meta-classifiers and Selective Superiority.
Proceedings of the Intelligent Problem Solving, 2000

Voting Nearest-Neighbor Subclassifiers.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1999
Neural networks: a comprehensive foundation by Simon Haykin, Macmillan, 1994, ISBN 0-02-352781-7.
Knowledge Eng. Review, 1999

Reinforcement learning by AG Barto and RS Sutton, MIT Press, Cambridge, MA 1998, ISBN 0-262-19398-1.
Knowledge Eng. Review, 1999

Initializing RBF-Networks with Small Subsets of Training Examples.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998
Guest Editors' Introduction.
Machine Learning, 1998

Machine Learning for the Detection of Oil Spills in Satellite Radar Images.
Machine Learning, 1998

1997
Neurons and Symbols: the Stuff that Mind is Made of by Igor Alexander and Helen Morton, Chpaman & Hall, 1993, ISBN 0-412-46090-4.
Knowledge Eng. Review, 1997

Addressing the Curse of Imbalanced Training Sets: One-Sided Selection.
Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Learning When Negative Examples Abound.
Proceedings of the Machine Learning: ECML-97, 1997

1996
Learning in the Presence of Concept Drift and Hidden Contexts.
Machine Learning, 1996

Second Tier for Decision Trees.
Proceedings of the Machine Learning, 1996

1995
Neural networks and fuzzy systems: A dynamical systems approach to machine intelligence by Bart Kosko, Prentice Hall, Englewood Cliffs, NJ, 1992, pp 449, £24.96, ISBN 0-13-612334.
Knowledge Eng. Review, 1995

Advanced methods in neural computing by Philip Wasserman, International Thomson Publishing (Van Nostrand Reinhold), USA, 1993, ISBN 0-442-00461-3.
Knowledge Eng. Review, 1995

Initialization of neural networks by means of decision trees.
Knowl.-Based Syst., 1995

A rough set approach to reasoning under uncertainty.
J. Exp. Theor. Artif. Intell., 1995

Trimming the inputs of RBF networks.
Proceedings of the ESANN 1995, 1995

Adapting to Drift in Continuous Domains (Extended Abstract).
Proceedings of the Machine Learning: ECML-95, 1995

Pruning Multivariate Decision Trees by Hyperplane Merging.
Proceedings of the Machine Learning: ECML-95, 1995

Decision-Tree Based Neural Network (Extended Abstract).
Proceedings of the Machine Learning: ECML-95, 1995

1994
A first-order logic for reasoning under uncertainty using rough sets.
J. Intelligent Manufacturing, 1994

Approximating Knowledge in a Multi-Agent System.
Informatica (Slovenia), 1994

AI-based approach to automatic sleep classification.
Biological Cybernetics, 1994

Face recognition through learning boundary characteristics.
Applied Artificial Intelligence, 1994

1993
Flexible concept learning in real-time systems.
Journal of Intelligent and Robotic Systems, 1993

Effective Learning in Dynamic Environments by Explicit Context Tracking.
Proceedings of the Machine Learning: ECML-93, 1993

Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods.
Proceedings of the Machine Learning: ECML-93, 1993

1992
FAVORIT: Concept formation with ageing of knowledge.
Pattern Recognition Letters, 1992

Conceptual Inductive Learning: The Case of Unreliable Teachers.
Artif. Intell., 1992

Forgetting and aging of knowledge in concept formation.
Applied Artificial Intelligence, 1992

Learning Flexible Concepts from Streams of Examples: FLORA 2.
ECAI, 1992

Introduction to Machine Learning.
Proceedings of the Advanced Topics in Artificial Intelligence, 1992

1991
The System FLORA: Learning from Type-Varying Training Sets.
Proceedings of the Machine Learning, 1991

1989
Floating approximation in time-varying knowledge bases.
Pattern Recognition Letters, 1989


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