Miroslav Kubat

According to our database, Miroslav Kubat authored at least 92 papers between 1989 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Rural versus urban fiction in contemporary Chinese literature - Quantitative approach case study.

Xinying Chen, Miroslav Kubát

Digit. Scholarsh. Humanit., 2022

2021

Communists spoke differently: An analysis of Czechoslovak and Czech annual presidential speeches.

Miroslav Kubát, Ján Macutek, Radek Cech

Digit. Scholarsh. Humanit., 2021

QuitaUp - a tool for quantitative stylometric analysis (Announcement).

Miroslav Kubát

Glottometrics, 2021

An Introduction to Machine Learning, Third Edition

Miroslav Kubat

Springer, ISBN: 978-3-030-81934-7, 2021

2019

The Development of Context Specificity of Lemma. A Word Embeddings Approach.

Radek Cech, Jan Hula, Miroslav Kubát, Xinying Chen, Jirí Milicka

J. Quant. Linguistics, 2019

Context Specificity of Lemma. Diachronic Analysis.

Jan Hula, Miroslav Kubát, Radek Cech, Xinying Chen, David Cíz, Katerina Pelegrinová, Jirí Milicka

Glottometrics, 2019

A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data.

Hassen Dhrif, Luis G. Sánchez Giraldo, Miroslav Kubat, Stefan Wuchty

CoRR, 2019

A stable hybrid method for feature subset selection using particle swarm optimization with local search.

Hassen Dhrif, Luis G. Sánchez Giraldo, Miroslav Kubat, Stefan Wuchty

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2017

LFDA model for the assessment of water quality through Microtox® using excitation-emission matrices.

Oscar Martinez, Ranga Dabarera, Kamal Premaratne, Miroslav Kubat, James D. Englehardt

Intell. Data Anal., 2017

Automatic tumor segmentation in single-spectral MRI using a texture-based and contour-based algorithm.

Nooshin Nabizadeh, Miroslav Kubat

Expert Syst. Appl., 2017

An Introduction to Machine Learning, Second Edition

Miroslav Kubat

Springer, ISBN: 978-3-319-63912-3, 2017

2016

Quantitative Analysis of US Presidential Inaugural Addresses.

Miroslav Kubát, Radek Cech

Glottometrics, 2016

Thematic Concentration and Vocabulary Richness.

Miroslav Kubát, Radek Cech

Proceedings of the Issues in Quantitative Linguistics 4, 2016

2015

PruDent: A Pruned and Confident Stacking Approach for Multi-Label Classification.

Abdulaziz Alali, Miroslav Kubat

IEEE Trans. Knowl. Data Eng., 2015

LDA-based probabilistic graphical model for excitation-emission matrices.

Oscar Martinez, Ranga Dabarera, Kamal Premaratne, Miroslav Kubat

Intell. Data Anal., 2015

Brain tumors detection and segmentation in MR images: Gabor wavelet vs. statistical features.

Nooshin Nabizadeh, Miroslav Kubat

Comput. Electr. Eng., 2015

Automatic tumor lesion detection and segmentation using modified winnow algorithm.

Nooshin Nabizadeh, Mohsen Dorodchi, Miroslav Kubat

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

An Introduction to Machine Learning

Miroslav Kubat

Springer, ISBN: 978-3-319-20010-1, 2015

2014

Hierarchical multi-label classification with SVMs: A case study in gene function prediction.

Peerapon Vateekul, Miroslav Kubat, Kanoksri Sarinnapakorn

Intell. Data Anal., 2014

Quantitative Index Text Analyser (QUITA).

Miroslav Kubát, Vladimír Maltach, Radek Cech

Glottometrics, 2014

2013

Vocabulary Richness Measure in Genres.

Miroslav Kubat, Jirí Milicka

J. Quant. Linguistics, 2013

Improving SVM Performance in Multi-Label Domains: Threshold Adjustment.

Peerapon Vateekul, Sareewan Dendamrongvit, Miroslav Kubat

Int. J. Artif. Intell. Tools, 2013

MeMO : Membership-Based Minority Oversampling for Class Balancing.

Oscar Martinez, Ranga Dabarera, Kamal Premaratne, Miroslav Kubat

Proceedings of the Advances in Data Mining, 13th Industrial Conference, 2013

2011

CoFiDS: A Belief-Theoretic Approach for Automated Collaborative Filtering.

Thanuka Wickramarathne, Kamal Premaratne, Miroslav Kubat, D. T. Jayaweera

IEEE Trans. Knowl. Data Eng., 2011

Irrelevant attributes and imbalanced classes in multi-label text-categorization domains.

Sareewan Dendamrongvit, Peerapon Vateekul, Miroslav Kubat

Intell. Data Anal., 2011

2010

Induction in Multi-Label Text Classification Domains.

Miroslav Kubat, Kanoksri Sarinnapakorn, Sareewan Dendamrongvit

Proceedings of the Advances in Machine Learning II, 2010

Instinct-Based Mating in Genetic Algorithms Applied to the Tuning of 1-NN Classifiers.

Thiago Quirino, Miroslav Kubat, Nicholas J. Bryan

IEEE Trans. Knowl. Data Eng., 2010

2009

Predicting Missing Items in Shopping Carts.

Kasun Wickramaratna, Miroslav Kubat, Kamal Premaratne

IEEE Trans. Knowl. Data Eng., 2009

Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains.

Sareewan Dendamrongvit, Miroslav Kubat

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.

Peerapon Vateekul, Miroslav Kubat

Proceedings of the ICDM Workshops 2009, 2009

Rule Mining and Missing-Value Prediction in the Presence of Data Ambiguities.

Kasun Wickramaratna, Miroslav Kubat, Kamal Premaratne, Thanuka Wickramarathne

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.

S. P. Subasingha, J. Zhang, Kamal Premaratne, Mei-Ling Shyu, Miroslav Kubat, K. K. Rohitha Hewawasam

Proceedings of the Data Mining: Foundations and Practice, 2008

Handling Ambiguous Values in Instance-Based Classifiers.

Hans Holland, Miroslav Kubat, Jan Zizka

Int. J. Artif. Intell. Tools, 2008

Discovering numeric laws, a case study: CO_2 fugacity in the ocean.

Kasun Wickramaratna, Miroslav Kubat, Peter J. Minnett

Intell. Data Anal., 2008

Induction from Multi-Label Examples in Information Retrieval Systems: a Case Study.

Kanoksri Sarinnapakorn, Miroslav Kubat

Appl. Artif. Intell., 2008

2007

Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study.

Kanoksri Sarinnapakorn, Miroslav Kubat

IEEE Trans. Knowl. Data Eng., 2007

Search engine ranking efficiency evaluation tool.

Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia

ACM SIGCSE Bull., 2007

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

Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia

J. Convergence Inf. Technol., 2007

Induction from Multi-Label Training Examples in Text Categorization: Combining Subclassifiers (a Case Study).

Kanoksri Sarinnapakorn, Miroslav Kubat

Proceedings of the 2007 International Conference on Artificial Intelligence, 2007

Automated Search for the Quantitative Laws Affecting CO2 Fugacity in Sea Water.

Kasun Wickramaratna, Miroslav Kubat, Peter J. Minnett

Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

Instance-Based Classifiers Dealing with Ambiguous Attributes and Class Labels.

Hans Holland, Miroslav Kubat, Jan Zizka

Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

A fully automated recommender system using collaborative filters.

Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia

Proceedings of the Sixth IASTED International Conference on Communications, 2007

2006

Searching for high-support itemsets in itemset trees.

Yu Li, Miroslav Kubat

Intell. Data Anal., 2006

2005

Association mining in time-varying domains.

Antonin Rozsypal, Miroslav Kubat

Intell. Data Anal., 2005

Query Size Estimation Using Clustering Techniques.

Xiaoyuan Su, Miroslav Kubat, Moiez A. Tapia, Chao Hu

Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

2004

Incremental learning and concept drift: Editor's introduction.

Miroslav Kubat, João Gama, Paul E. Utgoff

Intell. Data Anal., 2004

Induction in Time-Varying Domains: Motivation, Origins, and Encouragements.

Miroslav Kubat

Proceedings of the 11th IEEE International Conference on the Engineering of Computer-Based Systems (ECBS 2004), 2004

2003

Itemset Trees for Targeted Association Querying.

Miroslav Kubat, Aladdin Hafez, Vijay V. Raghavan, Jayakrishna R. Lekkala, Wei Kian Chen

IEEE Trans. Knowl. Data Eng., 2003

Selecting representative examples and attributes by a genetic algorithm.

Antonin Rozsypal, Miroslav Kubat

Intell. Data Anal., 2003

Association Mining in Gradually Changing Domains.

Antonin Rozsypal, Miroslav Kubat

Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference, 2003

2002

Modifying Upstart for Use in Multiclass Numerical Domains.

Ronnie Fanguy, Miroslav Kubat

Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

2001

A reduction technique for nearest-neighbor classification: Small groups of examples.

Miroslav Kubat, Martin Cooperson Jr.

Intell. Data Anal., 2001

AAAI 2000 Workshop Reports.

Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt D. Bollacker, Alexander Nareyek, J. Paul Walser, David W. Aha, Timothy W. Finin, Benjamin N. Grosof, Nathalie Japkowicz, Robert Holte, Lise Getoor, Carla P. Gomes, Holger H. Hoos, Alan C. Schultz, Miroslav Kubat, Tom M. Mitchell, Jörg Denzinger, Yolanda Gil, Karen L. Myers, Claudio Bettini, Angelo Montanari

AI Mag., 2001

Using the Genetic Algorithm to Reduce the Size of a Nearest-Neighbor Classifier and to Select Relevant Attributes.

Antonin Rozsypal, Miroslav Kubat

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.

Miroslav Kubat

Knowl. Eng. Rev., 2000

Recycling Decision Trees in Numeric Domains.

Miroslav Kubat

Informatica (Slovenia), 2000

Learning Middle Game Patterns in Chess: A Case Study.

Miroslav Kubat, Jan Zizka

Proceedings of the Intelligent Problem Solving, 2000

Meta-classifiers and Selective Superiority.

Ryan G. Benton, Miroslav Kubat, Rasiah Loganantharaj

Proceedings of the Intelligent Problem Solving, 2000

Voting Nearest-Neighbor Subclassifiers.

Miroslav Kubat, Martin Cooperson Jr.

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.

Miroslav Kubat

Knowl. Eng. Rev., 1999

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

Miroslav Kubat

Knowl. Eng. Rev., 1999

Initializing RBF-Networks with Small Subsets of Training Examples.

Miroslav Kubat, Martin Cooperson Jr.

Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998

Decision trees can initialize radial-basis function networks.

Miroslav Kubat

IEEE Trans. Neural Networks, 1998

Guest Editors' Introduction.

Gerhard Widmer, Miroslav Kubat

Mach. Learn., 1998

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

Miroslav Kubat, Robert C. Holte, Stan Matwin

Mach. Learn., 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.

Miroslav Kubat

Knowl. Eng. Rev., 1997

Addressing the Curse of Imbalanced Training Sets: One-Sided Selection.

Miroslav Kubat, Stan Matwin

Proceedings of the Fourteenth International Conference on Machine Learning (ICML 1997), 1997

Learning When Negative Examples Abound.

Miroslav Kubat, Robert C. Holte, Stan Matwin

Proceedings of the Machine Learning: ECML-97, 1997

1996

Learning in the Presence of Concept Drift and Hidden Contexts.

Gerhard Widmer, Miroslav Kubat

Mach. Learn., 1996

Second Tier for Decision Trees.

Miroslav Kubat

Proceedings of the Machine Learning, 1996

1995

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

Miroslav Kubat

Knowl. Eng. Rev., 1995

<i>Advanced methods in neural computing</i> by Philip Wasserman, International Thomson Publishing (Van Nostrand Reinhold), USA, 1993, ISBN 0-442-00461-3.

Miroslav Kubat

Knowl. Eng. Rev., 1995

Initialization of neural networks by means of decision trees.

Irena Ivanova, Miroslav Kubat

Knowl. Based Syst., 1995

A rough set approach to reasoning under uncertainty.

Simon Parsons, Miroslav Kubat, Mirko Dohnal

J. Exp. Theor. Artif. Intell., 1995

Trimming the inputs of RBF networks.

Colin Andrew, Miroslav Kubat, Gert Pfurtscheller

Proceedings of the 3rd European Symposium on Artificial Neural Networks, 1995

Adapting to Drift in Continuous Domains (Extended Abstract).

Miroslav Kubat, Gerhard Widmer

Proceedings of the Machine Learning: ECML-95, 1995

Pruning Multivariate Decision Trees by Hyperplane Merging.

Miroslav Kubat, Doris Flotzinger

Proceedings of the Machine Learning: ECML-95, 1995

Decision-Tree Based Neural Network (Extended Abstract).

Irena Ivanova, Miroslav Kubat

Proceedings of the Machine Learning: ECML-95, 1995

1994

A first-order logic for reasoning under uncertainty using rough sets.

Simon Parsons, Miroslav Kubat

J. Intell. Manuf., 1994

Approximating Knowledge in a Multi-Agent System.

Miroslav Kubat, Simon Parsons

Informatica (Slovenia), 1994

AI-based approach to automatic sleep classification.

Miroslav Kubat, Gert Pfurtscheller, Doris Flotzinger

Biol. Cybern., 1994

Face recognition through learning boundary characteristics.

Libor Spacek, Miroslav Kubat, Doris Flotzinger

Appl. Artif. Intell., 1994

1993

Flexible concept learning in real-time systems.

Miroslav Kubat

J. Intell. Robotic Syst., 1993

Effective Learning in Dynamic Environments by Explicit Context Tracking.

Gerhard Widmer, Miroslav Kubat

Proceedings of the Machine Learning: ECML-93, 1993

Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods.

Miroslav Kubat, Doris Flotzinger, Gert Pfurtscheller

Proceedings of the Machine Learning: ECML-93, 1993

1992

FAVORIT: Concept formation with ageing of knowledge.

Ivana Krizakova, Miroslav Kubat

Pattern Recognit. Lett., 1992

Conceptual Inductive Learning: The Case of Unreliable Teachers.

Miroslav Kubat

Artif. Intell., 1992

Forgetting and aging of knowledge in concept formation.

Miroslav Kubat, Ivana Krizakova

Appl. Artif. Intell., 1992

Learning Flexible Concepts from Streams of Examples: FLORA 2.

Gerhard Widmer, Miroslav Kubat

Proceedings of the 10th European Conference on Artificial Intelligence, 1992

Introduction to Machine Learning.

Miroslav Kubat

Proceedings of the Advanced Topics in Artificial Intelligence, 1992

1991

The System FLORA: Learning from Type-Varying Training Sets.

Miroslav Kubat, Jirina Pavlickova

Proceedings of the Machine Learning, 1991

1989

Floating approximation in time-varying knowledge bases.

Miroslav Kubat

Pattern Recognit. Lett., 1989