Floating approximation in time-varying knowledge bases. - Miroslav Kubat (Pattern Recognit. Lett., 1989)

The System FLORA: Learning from Type-Varying Training Sets. - Miroslav Kubat; Jirina Pavlickova (EWSL, 1991)

Introduction to Machine Learning. - Miroslav Kubat (Advanced Topics in Artificial Intelligence, 1992)

Learning Flexible Concepts from Streams of Examples: FLORA 2. - Gerhard Widmer; Miroslav Kubat (ECAI, 1992)

Forgetting and aging of knowledge in concept formation. - Miroslav Kubat; Ivana Krizakova (Appl. Artif. Intell., 1992)

Conceptual Inductive Learning: The Case of Unreliable Teachers. - Miroslav Kubat (Artif. Intell., 1992)

FAVORIT: Concept formation with ageing of knowledge. - Ivana Krizakova; Miroslav Kubat (Pattern Recognit. Lett., 1992)

Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods. - Miroslav Kubat; Doris Flotzinger; Gert Pfurtscheller (ECML, 1993)

Effective Learning in Dynamic Environments by Explicit Context Tracking. - Gerhard Widmer; Miroslav Kubat (ECML, 1993)

Flexible concept learning in real-time systems. - Miroslav Kubat (J. Intell. Robotic Syst., 1993)

Face recognition through learning boundary characteristics. - Libor Spacek; Miroslav Kubat; Doris Flotzinger (Appl. Artif. Intell., 1994)

AI-based approach to automatic sleep classification. - Miroslav Kubat; Gert Pfurtscheller; Doris Flotzinger (Biol. Cybern., 1994)

Approximating Knowledge in a Multi-Agent System. - Miroslav Kubat; Simon Parsons (Informatica (Slovenia), 1994)

A first-order logic for reasoning under uncertainty using rough sets. - Simon Parsons; Miroslav Kubat (J. Intell. Manuf., 1994)

Decision-Tree Based Neural Network (Extended Abstract). - Irena Ivanova; Miroslav Kubat (ECML, 1995)

Pruning Multivariate Decision Trees by Hyperplane Merging. - Miroslav Kubat; Doris Flotzinger (ECML, 1995)

Adapting to Drift in Continuous Domains (Extended Abstract). - Miroslav Kubat; Gerhard Widmer (ECML, 1995)

Trimming the inputs of RBF networks. - Colin Andrew; Miroslav Kubat; Gert Pfurtscheller (ESANN, 1995)

A rough set approach to reasoning under uncertainty. - Simon Parsons; Miroslav Kubat; Mirko Dohnal (J. Exp. Theor. Artif. Intell., 1995)

Initialization of neural networks by means of decision trees. - Irena Ivanova; Miroslav Kubat (Knowl. Based Syst., 1995)

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

Second Tier for Decision Trees. - Miroslav Kubat (ICML, 1996)

Learning in the Presence of Concept Drift and Hidden Contexts. - Gerhard Widmer; Miroslav Kubat (Mach. Learn., 1996)

Learning When Negative Examples Abound. - Miroslav Kubat; Robert C. Holte; Stan Matwin (ECML, 1997)

Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. - Miroslav Kubat; Stan Matwin (ICML, 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)

Machine Learning for the Detection of Oil Spills in Satellite Radar Images. - Miroslav Kubat; Robert C. Holte; Stan Matwin (Mach. Learn., 1998)

Guest Editors' Introduction. - Gerhard Widmer; Miroslav Kubat (Mach. Learn., 1998)

Decision trees can initialize radial-basis function networks. - Miroslav Kubat (IEEE Trans. Neural Networks, 1998)

Initializing RBF-Networks with Small Subsets of Training Examples. - Miroslav Kubat; Martin Cooperson Jr. (AAAI/IAAI, 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)

Neural networks: a comprehensive foundation by Simon Haykin, Macmillan, 1994, ISBN 0-02-352781-7. - Miroslav Kubat (Knowl. Eng. Rev., 1999)

Voting Nearest-Neighbor Subclassifiers. - Miroslav Kubat; Martin Cooperson Jr. (ICML, 2000)

Meta-classifiers and Selective Superiority. - Ryan G. Benton; Miroslav Kubat; Rasiah Loganantharaj (IEA/AIE, 2000)

Learning Middle Game Patterns in Chess: A Case Study. - Miroslav Kubat; Jan Zizka (IEA/AIE, 2000)

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

Designing neural network architectures for pattern recognition. - Miroslav Kubat (Knowl. Eng. Rev., 2000)

Using the Genetic Algorithm to Reduce the Size of a Nearest-Neighbor Classifier and to Select Relevant Attributes. - Antonin Rozsypal; Miroslav Kubat (ICML, 2001)

AAAI 2000 Workshop Reports. - Yves Lespérance; Gerd Wagner 001; 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; et al. (AI Mag., 2001)

A reduction technique for nearest-neighbor classification: Small groups of examples. - Miroslav Kubat; Martin Cooperson Jr. (Intell. Data Anal., 2001)

Modifying Upstart for Use in Multiclass Numerical Domains. - Ronnie Fanguy; Miroslav Kubat (FLAIRS, 2002)

Association Mining in Gradually Changing Domains. - Antonin Rozsypal; Miroslav Kubat (FLAIRS, 2003)

Selecting representative examples and attributes by a genetic algorithm. - Antonin Rozsypal; Miroslav Kubat (Intell. Data Anal., 2003)

Itemset Trees for Targeted Association Querying. - Miroslav Kubat; Aladdin Hafez; Vijay V. Raghavan 001; Jayakrishna R. Lekkala; Wei Kian Chen (IEEE Trans. Knowl. Data Eng., 2003)

Induction in Time-Varying Domains: Motivation, Origins, and Encouragements. - Miroslav Kubat (ECBS, 2004)

Incremental learning and concept drift: Editor's introduction. - Miroslav Kubat; João Gama 001; Paul E. Utgoff (Intell. Data Anal., 2004)

Query Size Estimation Using Clustering Techniques. - Xiaoyuan Su; Miroslav Kubat; Moiez A. Tapia; Chao Hu (ICTAI, 2005)

Association mining in time-varying domains. - Antonin Rozsypal; Miroslav Kubat (Intell. Data Anal., 2005)

Searching for high-support itemsets in itemset trees. - Yu Li; Miroslav Kubat (Intell. Data Anal., 2006)

A fully automated recommender system using collaborative filters. - Wadee S. Alhalabi; Miroslav Kubat; Moiez A. Tapia (Communications, Internet, and Information Technology, 2007)

Instance-Based Classifiers Dealing with Ambiguous Attributes and Class Labels. - Hans Holland; Miroslav Kubat; Jan Zizka (FLAIRS, 2007)

Automated Search for the Quantitative Laws Affecting CO2 Fugacity in Sea Water. - Kasun Wickramaratna; Miroslav Kubat; Peter J. Minnett (FLAIRS, 2007)

Induction from Multi-Label Training Examples in Text Categorization: Combining Subclassifiers (a Case Study). - Kanoksri Sarinnapakorn; Miroslav Kubat (IC-AI, 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)

Search engine ranking efficiency evaluation tool. - Wadee S. Alhalabi; Miroslav Kubat; Moiez A. Tapia (ACM SIGCSE Bull., 2007)

Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study. - Kanoksri Sarinnapakorn; Miroslav Kubat (IEEE Trans. Knowl. Data Eng., 2007)

Induction from Multi-Label Examples in Information Retrieval Systems: a Case Study. - Kanoksri Sarinnapakorn; Miroslav Kubat (Appl. Artif. Intell., 2008)

Discovering numeric laws, a case study: CO_2 fugacity in the ocean. - Kasun Wickramaratna; Miroslav Kubat; Peter J. Minnett (Intell. Data Anal., 2008)

Handling Ambiguous Values in Instance-Based Classifiers. - Hans Holland; Miroslav Kubat; Jan Zizka (Int. J. Artif. Intell. Tools, 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 (Data Mining: Foundations and Practice, 2008)

Rule Mining and Missing-Value Prediction in the Presence of Data Ambiguities. - Kasun Wickramaratna; Miroslav Kubat; Kamal Premaratne; Thanuka Wickramarathne (FLAIRS, 2009)

Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data. - Peerapon Vateekul; Miroslav Kubat (ICDM Workshops, 2009)

Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains. - Sareewan Dendamrongvit; Miroslav Kubat (PAKDD Workshops, 2009)

Predicting Missing Items in Shopping Carts. - Kasun Wickramaratna; Miroslav Kubat; Kamal Premaratne (IEEE Trans. Knowl. Data Eng., 2009)

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)

Induction in Multi-Label Text Classification Domains. - Miroslav Kubat; Kanoksri Sarinnapakorn; Sareewan Dendamrongvit (Advances in Machine Learning II, 2010)

Irrelevant attributes and imbalanced classes in multi-label text-categorization domains. - Sareewan Dendamrongvit; Peerapon Vateekul; Miroslav Kubat (Intell. Data Anal., 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)

MeMO : Membership-Based Minority Oversampling for Class Balancing. - Oscar Martinez; Ranga Dabarera; Kamal Premaratne; Miroslav Kubat (ICDM (Workshops), 2013)

Improving SVM Performance in Multi-Label Domains: Threshold Adjustment. - Peerapon Vateekul; Sareewan Dendamrongvit; Miroslav Kubat (Int. J. Artif. Intell. Tools, 2013)

Vocabulary Richness Measure in Genres. - Miroslav Kubat; Jirí Milicka (J. Quant. Linguistics, 2013)

Quantitative Index Text Analyser (QUITA). - Miroslav Kubát; Vladimír Maltach; Radek Cech (Glottometrics, 2014)

Hierarchical multi-label classification with SVMs: A case study in gene function prediction. - Peerapon Vateekul; Miroslav Kubat; Kanoksri Sarinnapakorn (Intell. Data Anal., 2014)

An Introduction to Machine Learning - Miroslav Kubat (Springer, 2015)

Automatic tumor lesion detection and segmentation using modified winnow algorithm. - Nooshin Nabizadeh; Mohsen Dorodchi; Miroslav Kubat (ISBI, 2015)

Brain tumors detection and segmentation in MR images: Gabor wavelet vs. statistical features. - Nooshin Nabizadeh; Miroslav Kubat (Comput. Electr. Eng., 2015)

LDA-based probabilistic graphical model for excitation-emission matrices. - Oscar Martinez; Ranga Dabarera; Kamal Premaratne; Miroslav Kubat (Intell. Data Anal., 2015)

PruDent: A Pruned and Confident Stacking Approach for Multi-Label Classification. - Abdulaziz Alali 001; Miroslav Kubat (IEEE Trans. Knowl. Data Eng., 2015)

Thematic Concentration and Vocabulary Richness. - Miroslav Kubát; Radek Cech (Issues in Quantitative Linguistics 4 (Dedicated to Reinhard Köhler on the occasion of his 65th birthday), 2016)

Quantitative Analysis of US Presidential Inaugural Addresses. - Miroslav Kubát; Radek Cech (Glottometrics, 2016)

An Introduction to Machine Learning, Second Edition - Miroslav Kubat (Springer, 2017)

Automatic tumor segmentation in single-spectral MRI using a texture-based and contour-based algorithm. - Nooshin Nabizadeh; Miroslav Kubat (Expert Syst. Appl., 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)

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 (GECCO, 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)

Context Specificity of Lemma. Diachronic Analysis. - Jan Hula; Miroslav Kubát; Radek Cech; Xinying Chen; David Cíz; Katerina Pelegrinová; Jirí Milicka (Glottometrics, 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)

An Introduction to Machine Learning, Third Edition - Miroslav Kubat (Springer, 2021)

QuitaUp - a tool for quantitative stylometric analysis (Announcement). - Miroslav Kubát (Glottometrics, 2021)

Communists spoke differently: An analysis of Czechoslovak and Czech annual presidential speeches. - Miroslav Kubát; Ján Macutek; Radek Cech (Digit. Scholarsh. Humanit., 2021)

Rural versus urban fiction in contemporary Chinese literature - Quantitative approach case study. - Xinying Chen; Miroslav Kubát (Digit. Scholarsh. Humanit., 2022)

Modality of verbs as stylometric feature in Czech genres. - Miroslav Kubát; Xinying Chen (Glottometrics, 2023)

Quantifying Syntactic Complexity in Czech Texts: An Analysis of Mean Dependency Distance and Average Sentence Length Across Genres. - Xinying Chen; Miroslav Kubát (J. Quant. Linguistics, 2024)