Miroslav Kubat

Publication Activity (10 Years)

Years Active: 1989-2019
Publications (10 Years): 4

Top Topics

Winnow Algorithm

Top Venues

Intell. Data Anal.

Comput. Electr. Eng.

Publications

Hassen Dhrif, Luis G. Sánchez Giraldo, Miroslav Kubat, Stefan Wuchty
A stable hybrid method for feature subset selection using particle swarm optimization with local search. GECCO (2019)
Hassen Dhrif, Luis G. Sánchez Giraldo, Miroslav Kubat, Stefan Wuchty
A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data. CoRR (2019)
Oscar Martinez, Ranga Dabarera, Kamal Premaratne, Miroslav Kubat, James D. Englehardt
LFDA model for the assessment of water quality through Microtox® using excitation-emission matrices. Intell. Data Anal. 21 (1) (2017)
Nooshin Nabizadeh, Miroslav Kubat
Automatic tumor segmentation in single-spectral MRI using a texture-based and contour-based algorithm. Expert Syst. Appl. 77 (2017)
Oscar Martinez, Ranga Dabarera, Kamal Premaratne, Miroslav Kubat
LDA-based probabilistic graphical model for excitation-emission matrices. Intell. Data Anal. 19 (5) (2015)
Nooshin Nabizadeh, Miroslav Kubat
Brain tumors detection and segmentation in MR images: Gabor wavelet vs. statistical features. Comput. Electr. Eng. 45 (2015)
Nooshin Nabizadeh, Mohsen Dorodchi, Miroslav Kubat
Automatic tumor lesion detection and segmentation using modified winnow algorithm. ISBI (2015)
Abdulaziz Alali, Miroslav Kubat
PruDent: A Pruned and Confident Stacking Approach for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 27 (9) (2015)
Peerapon Vateekul, Miroslav Kubat, Kanoksri Sarinnapakorn
Hierarchical multi-label classification with SVMs: A case study in gene function prediction. Intell. Data Anal. 18 (4) (2014)
Peerapon Vateekul, Sareewan Dendamrongvit, Miroslav Kubat
Improving SVM Performance in Multi-Label Domains: Threshold Adjustment. Int. J. Artif. Intell. Tools 22 (1) (2013)
Oscar Martinez, Ranga Dabarera, Kamal Premaratne, Miroslav Kubat
MeMO : Membership-Based Minority Oversampling for Class Balancing. ICDM (Workshops) (2013)
Miroslav Kubat, Jirí Milicka
Vocabulary Richness Measure in Genres. J. Quant. Linguistics 20 (4) (2013)
Sareewan Dendamrongvit, Peerapon Vateekul, Miroslav Kubat
Irrelevant attributes and imbalanced classes in multi-label text-categorization domains. Intell. Data Anal. 15 (6) (2011)
Thanuka Wickramarathne, Kamal Premaratne, Miroslav Kubat, D. T. Jayaweera
CoFiDS: A Belief-Theoretic Approach for Automated Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 23 (2) (2011)
Thiago Quirino, Miroslav Kubat, Nicholas J. Bryan
Instinct-Based Mating in Genetic Algorithms Applied to the Tuning of 1-NN Classifiers. IEEE Trans. Knowl. Data Eng. 22 (12) (2010)
Kasun Wickramaratna, Miroslav Kubat, Kamal Premaratne, Thanuka Wickramarathne
Rule Mining and Missing-Value Prediction in the Presence of Data Ambiguities. FLAIRS Conference (2009)
Sareewan Dendamrongvit, Miroslav Kubat
Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains. PAKDD Workshops (2009)
Kasun Wickramaratna, Miroslav Kubat, Kamal Premaratne
Predicting Missing Items in Shopping Carts. IEEE Trans. Knowl. Data Eng. 21 (7) (2009)
Peerapon Vateekul, Miroslav Kubat
Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data. ICDM Workshops (2009)
Kasun Wickramaratna, Miroslav Kubat, Peter J. Minnett
Discovering numeric laws, a case study: CO_2 fugacity in the ocean. Intell. Data Anal. 12 (4) (2008)
Kanoksri Sarinnapakorn, Miroslav Kubat
Induction from Multi-Label Examples in Information Retrieval Systems: a Case Study. Appl. Artif. Intell. 22 (5) (2008)
Hans Holland, Miroslav Kubat, Jan Zizka
Handling Ambiguous Values in Instance-Based Classifiers. Int. J. Artif. Intell. Tools 17 (3) (2008)
Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia
A fully automated recommender system using collaborative filters. Communications, Internet, and Information Technology (2007)
Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia
A Tool to Personalize the Ranking of the Documents Returned by an Internet Search Engine. J. Convergence Inf. Technol. 2 (3) (2007)
Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia
Search engine ranking efficiency evaluation tool. ACM SIGCSE Bull. 39 (2) (2007)
Hans Holland, Miroslav Kubat, Jan Zizka
Instance-Based Classifiers Dealing with Ambiguous Attributes and Class Labels. FLAIRS Conference (2007)
Kasun Wickramaratna, Miroslav Kubat, Peter J. Minnett
Automated Search for the Quantitative Laws Affecting CO2 Fugacity in Sea Water. FLAIRS Conference (2007)
Kanoksri Sarinnapakorn, Miroslav Kubat
Induction from Multi-Label Training Examples in Text Categorization: Combining Subclassifiers (a Case Study). IC-AI (2007)
Kanoksri Sarinnapakorn, Miroslav Kubat
Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study. IEEE Trans. Knowl. Data Eng. 19 (12) (2007)
Yu Li, Miroslav Kubat
Searching for high-support itemsets in itemset trees. Intell. Data Anal. 10 (2) (2006)
Xiaoyuan Su, Miroslav Kubat, Moiez A. Tapia, Chao Hu
Query Size Estimation Using Clustering Techniques. ICTAI (2005)
Antonin Rozsypal, Miroslav Kubat
Association mining in time-varying domains. Intell. Data Anal. 9 (3) (2005)
Miroslav Kubat, João Gama, Paul E. Utgoff
Incremental learning and concept drift: Editor's introduction. Intell. Data Anal. 8 (3) (2004)
Miroslav Kubat
Induction in Time-Varying Domains: Motivation, Origins, and Encouragements. ECBS (2004)
Miroslav Kubat, Aladdin Hafez, Vijay V. Raghavan, Jayakrishna R. Lekkala, Wei Kian Chen
Itemset Trees for Targeted Association Querying. IEEE Trans. Knowl. Data Eng. 15 (6) (2003)
Antonin Rozsypal, Miroslav Kubat
Association Mining in Gradually Changing Domains. FLAIRS Conference (2003)
Antonin Rozsypal, Miroslav Kubat
Selecting representative examples and attributes by a genetic algorithm. Intell. Data Anal. 7 (4) (2003)
Ronnie Fanguy, Miroslav Kubat
Modifying Upstart for Use in Multiclass Numerical Domains. FLAIRS Conference (2002)
Miroslav Kubat, Martin Cooperson Jr.
A reduction technique for nearest-neighbor classification: Small groups of examples. Intell. Data Anal. 5 (6) (2001)
Antonin Rozsypal, Miroslav Kubat
Using the Genetic Algorithm to Reduce the Size of a Nearest-Neighbor Classifier and to Select Relevant Attributes. ICML (2001)
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
AAAI 2000 Workshop Reports. AI Mag. 22 (1) (2001)
Miroslav Kubat
Designing neural network architectures for pattern recognition. Knowl. Eng. Rev. 15 (2) (2000)
Miroslav Kubat, Jan Zizka
Learning Middle Game Patterns in Chess: A Case Study. IEA/AIE (2000)
Miroslav Kubat, Martin Cooperson Jr.
Voting Nearest-Neighbor Subclassifiers. ICML (2000)
Ryan G. Benton, Miroslav Kubat, Rasiah Loganantharaj
Meta-classifiers and Selective Superiority. IEA/AIE (2000)
Miroslav Kubat
Recycling Decision Trees in Numeric Domains. Informatica (Slovenia) 24 (2) (2000)
Miroslav Kubat
Neural networks: a comprehensive foundation by Simon Haykin, Macmillan, 1994, ISBN 0-02-352781-7. Knowl. Eng. Rev. 13 (4) (1999)
Miroslav Kubat
Reinforcement learning by AG Barto and RS Sutton, MIT Press, Cambridge, MA 1998, ISBN 0-262-19398-1. Knowl. Eng. Rev. 14 (4) (1999)
Miroslav Kubat, Martin Cooperson Jr.
Initializing RBF-Networks with Small Subsets of Training Examples. AAAI/IAAI (1999)
Miroslav Kubat
Decision trees can initialize radial-basis function networks. IEEE Trans. Neural Networks 9 (5) (1998)
Miroslav Kubat, Robert C. Holte, Stan Matwin
Machine Learning for the Detection of Oil Spills in Satellite Radar Images. Mach. Learn. 30 (2-3) (1998)
Gerhard Widmer, Miroslav Kubat
Guest Editors' Introduction. Mach. Learn. 32 (2) (1998)
Miroslav Kubat
Neurons and Symbols: the Stuff that Mind is Made of by Igor Alexander and Helen Morton, Chpaman & Hall, 1993, ISBN 0-412-46090-4. Knowl. Eng. Rev. 12 (3) (1997)
Miroslav Kubat, Robert C. Holte, Stan Matwin
Learning When Negative Examples Abound. ECML (1997)
Miroslav Kubat, Stan Matwin
Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. ICML (1997)
Miroslav Kubat
Second Tier for Decision Trees. ICML (1996)
Gerhard Widmer, Miroslav Kubat
Learning in the Presence of Concept Drift and Hidden Contexts. Mach. Learn. 23 (1) (1996)
Irena Ivanova, Miroslav Kubat
Decision-Tree Based Neural Network (Extended Abstract). ECML (1995)
Miroslav Kubat, Gerhard Widmer
Adapting to Drift in Continuous Domains (Extended Abstract). ECML (1995)
Simon Parsons, Miroslav Kubat, Mirko Dohnal
A rough set approach to reasoning under uncertainty. J. Exp. Theor. Artif. Intell. 7 (2) (1995)
Miroslav Kubat
by Bart Kosko, Prentice Hall, Englewood Cliffs, NJ, 1992, pp 449, £24.96, ISBN 0-13-612334. Knowl. Eng. Rev. 10 (2) (1995)
C. Andrew, Miroslav Kubat, Gert Pfurtscheller
Trimming the inputs of RBF networks. ESANN (1995)
Irena Ivanova, Miroslav Kubat
Initialization of neural networks by means of decision trees. Knowl. Based Syst. 8 (6) (1995)
Miroslav Kubat
by Philip Wasserman, International Thomson Publishing (Van Nostrand Reinhold), USA, 1993, ISBN 0-442-00461-3. Knowl. Eng. Rev. 10 (1) (1995)
Miroslav Kubat, Doris Flotzinger
Pruning Multivariate Decision Trees by Hyperplane Merging. ECML (1995)
Miroslav Kubat, Gert Pfurtscheller, Doris Flotzinger
AI-based approach to automatic sleep classification. Biol. Cybern. 70 (5) (1994)
Simon Parsons, Miroslav Kubat
A first-order logic for reasoning under uncertainty using rough sets. J. Intell. Manuf. 5 (4) (1994)
Miroslav Kubat, Simon Parsons
Approximating Knowledge in a Multi-Agent System. Informatica (Slovenia) 18 (2) (1994)
Libor Spacek, Miroslav Kubat, Doris Flotzinger
Face recognition through learning boundary characteristics. Appl. Artif. Intell. 8 (1) (1994)
Miroslav Kubat, Doris Flotzinger, Gert Pfurtscheller
Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods. ECML (1993)
Gerhard Widmer, Miroslav Kubat
Effective Learning in Dynamic Environments by Explicit Context Tracking. ECML (1993)
Miroslav Kubat
Flexible concept learning in real-time systems. J. Intell. Robotic Syst. 8 (2) (1993)
Ivana Krizakova, Miroslav Kubat
FAVORIT: Concept formation with ageing of knowledge. Pattern Recognit. Lett. 13 (1) (1992)
Gerhard Widmer, Miroslav Kubat
Learning Flexible Concepts from Streams of Examples: FLORA 2. ECAI (1992)
Miroslav Kubat
Conceptual Inductive Learning: The Case of Unreliable Teachers. Artif. Intell. 52 (2) (1992)
Miroslav Kubat, Ivana Krizakova
Forgetting and aging of knowledge in concept formation. Appl. Artif. Intell. 6 (2) (1992)
Miroslav Kubat
Introduction to Machine Learning. Advanced Topics in Artificial Intelligence (1992)
Miroslav Kubat, Jirina Pavlickova
The System FLORA: Learning from Type-Varying Training Sets. EWSL (1991)
Miroslav Kubat
Floating approximation in time-varying knowledge bases. Pattern Recognit. Lett. 10 (4) (1989)