Miroslav Kubat

82 papers A* 4A 2B 2C 2Misc 6Journal 46Unranked 15

Year	Rank	Type	Title / Venue / Authors
2021	—	`book`	An Introduction to Machine Learning, Third Edition Miroslav Kubat
2019	J	`jnl`	A Stable Combinatorial Particle Swarm Optimization for Scalable Feature Selection in Gene Expression Data. CoRR Hassen Dhrif, Luis G. Sánchez Giraldo, Miroslav Kubat, Stefan Wuchty
2019	A	`conf`	A stable hybrid method for feature subset selection using particle swarm optimization with local search. GECCO Hassen Dhrif, Luis G. Sánchez Giraldo, Miroslav Kubat, Stefan Wuchty
2017	—	`book`	An Introduction to Machine Learning, Second Edition Miroslav Kubat
2017	J	`jnl`	Automatic tumor segmentation in single-spectral MRI using a texture-based and contour-based algorithm. Expert Syst. Appl. Nooshin Nabizadeh, Miroslav Kubat
2017	J	`jnl`	LFDA model for the assessment of water quality through Microtox® using excitation-emission matrices. Intell. Data Anal. Oscar Martinez, Ranga Dabarera, Kamal Premaratne, Miroslav Kubat, James D. Englehardt
2015	—	`book`	An Introduction to Machine Learning Miroslav Kubat
2015	—	`conf`	Automatic tumor lesion detection and segmentation using modified winnow algorithm. ISBI Nooshin Nabizadeh, Mohsen Dorodchi, Miroslav Kubat
2015	J	`jnl`	Brain tumors detection and segmentation in MR images: Gabor wavelet vs. statistical features. Comput. Electr. Eng. Nooshin Nabizadeh, Miroslav Kubat
2015	J	`jnl`	LDA-based probabilistic graphical model for excitation-emission matrices. Intell. Data Anal. Oscar Martinez, Ranga Dabarera, Kamal Premaratne, Miroslav Kubat
2015	J	`jnl`	PruDent: A Pruned and Confident Stacking Approach for Multi-Label Classification. IEEE Trans. Knowl. Data Eng. Abdulaziz Alali, Miroslav Kubat
2014	J	`jnl`	Hierarchical multi-label classification with SVMs: A case study in gene function prediction. Intell. Data Anal. Peerapon Vateekul, Miroslav Kubat, Kanoksri Sarinnapakorn
2013	J	`jnl`	Improving SVM Performance in Multi-Label Domains: Threshold Adjustment. Int. J. Artif. Intell. Tools Peerapon Vateekul, Sareewan Dendamrongvit, Miroslav Kubat
2013	—	`conf`	MeMO : Membership-Based Minority Oversampling for Class Balancing. ICDM (Workshops) Oscar Martinez, Ranga Dabarera, Kamal Premaratne, Miroslav Kubat
2013	J	`jnl`	Vocabulary Richness Measure in Genres. J. Quant. Linguistics Miroslav Kubat, Jirí Milicka
2011	J	`jnl`	CoFiDS: A Belief-Theoretic Approach for Automated Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Thanuka Wickramarathne, Kamal Premaratne, Miroslav Kubat, D. T. Jayaweera
2011	J	`jnl`	Irrelevant attributes and imbalanced classes in multi-label text-categorization domains. Intell. Data Anal. Sareewan Dendamrongvit, Peerapon Vateekul, Miroslav Kubat
2010	—	`ch.`	Induction in Multi-Label Text Classification Domains. Advances in Machine Learning II Miroslav Kubat, Kanoksri Sarinnapakorn, Sareewan Dendamrongvit
2010	J	`jnl`	Instinct-Based Mating in Genetic Algorithms Applied to the Tuning of 1-NN Classifiers. IEEE Trans. Knowl. Data Eng. Thiago Quirino, Miroslav Kubat, Nicholas J. Bryan
2009	—	`conf`	Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data. ICDM Workshops Peerapon Vateekul, Miroslav Kubat
2009	J	`jnl`	Predicting Missing Items in Shopping Carts. IEEE Trans. Knowl. Data Eng. Kasun Wickramaratna, Miroslav Kubat, Kamal Premaratne
2009	Misc	`conf`	Rule Mining and Missing-Value Prediction in the Presence of Data Ambiguities. FLAIRS Kasun Wickramaratna, Miroslav Kubat, Kamal Premaratne, Thanuka Wickramarathne
2009	—	`conf`	Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains. PAKDD Workshops Sareewan Dendamrongvit, Miroslav Kubat
2008	J	`jnl`	Discovering numeric laws, a case study: CO_2 fugacity in the ocean. Intell. Data Anal. Kasun Wickramaratna, Miroslav Kubat, Peter J. Minnett
2008	J	`jnl`	Handling Ambiguous Values in Instance-Based Classifiers. Int. J. Artif. Intell. Tools Hans Holland, Miroslav Kubat, Jan Zizka
2008	J	`jnl`	Induction from Multi-Label Examples in Information Retrieval Systems: a Case Study. Appl. Artif. Intell. Kanoksri Sarinnapakorn, Miroslav Kubat
2008	—	`ch.`	Using Association Rules for Classification from Databases Having Class Label Ambiguities: A Belief Theoretic Method. Data Mining: Foundations and Practice S. P. Subasingha, J. Zhang, Kamal Premaratne, Mei-Ling Shyu, Miroslav Kubat, K. K. Rohitha Hewawasam
2007	J	`jnl`	A Tool to Personalize the Ranking of the Documents Returned by an Internet Search Engine. J. Convergence Inf. Technol. Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia
2007	—	`conf`	A fully automated recommender system using collaborative filters. Communications, Internet, and Information Technology Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia
2007	Misc	`conf`	Automated Search for the Quantitative Laws Affecting CO2 Fugacity in Sea Water. FLAIRS Kasun Wickramaratna, Miroslav Kubat, Peter J. Minnett
2007	J	`jnl`	Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study. IEEE Trans. Knowl. Data Eng. Kanoksri Sarinnapakorn, Miroslav Kubat
2007	Misc	`conf`	Induction from Multi-Label Training Examples in Text Categorization: Combining Subclassifiers (a Case Study). IC-AI Kanoksri Sarinnapakorn, Miroslav Kubat
2007	Misc	`conf`	Instance-Based Classifiers Dealing with Ambiguous Attributes and Class Labels. FLAIRS Hans Holland, Miroslav Kubat, Jan Zizka
2007	J	`jnl`	Search engine ranking efficiency evaluation tool. ACM SIGCSE Bull. Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia
2006	J	`jnl`	Searching for high-support itemsets in itemset trees. Intell. Data Anal. Yu Li, Miroslav Kubat
2005	J	`jnl`	Association mining in time-varying domains. Intell. Data Anal. Antonin Rozsypal, Miroslav Kubat
2005	B	`conf`	Query Size Estimation Using Clustering Techniques. ICTAI Xiaoyuan Su, Miroslav Kubat, Moiez A. Tapia, Chao Hu
2004	J	`jnl`	Incremental learning and concept drift: Editor's introduction. Intell. Data Anal. Miroslav Kubat, João Gama, Paul E. Utgoff
2004	—	`conf`	Induction in Time-Varying Domains: Motivation, Origins, and Encouragements. ECBS Miroslav Kubat
2003	Misc	`conf`	Association Mining in Gradually Changing Domains. FLAIRS Antonin Rozsypal, Miroslav Kubat
2003	J	`jnl`	Itemset Trees for Targeted Association Querying. IEEE Trans. Knowl. Data Eng. Miroslav Kubat, Aladdin Hafez, Vijay V. Raghavan, Jayakrishna R. Lekkala, Wei Kian Chen
2003	J	`jnl`	Selecting representative examples and attributes by a genetic algorithm. Intell. Data Anal. Antonin Rozsypal, Miroslav Kubat
2002	Misc	`conf`	Modifying Upstart for Use in Multiclass Numerical Domains. FLAIRS Ronnie Fanguy, Miroslav Kubat
2001	J	`jnl`	A reduction technique for nearest-neighbor classification: Small groups of examples. Intell. Data Anal. Miroslav Kubat, Martin Cooperson Jr.
2001	J	`jnl`	AAAI 2000 Workshop Reports. AI Mag. Yves Lespérance, Gerd Wagner, William P. Birmingham, Kurt 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
2001	A*	`conf`	Using the Genetic Algorithm to Reduce the Size of a Nearest-Neighbor Classifier and to Select Relevant Attributes. ICML Antonin Rozsypal, Miroslav Kubat
2000	J	`jnl`	Designing neural network architectures for pattern recognition. Knowl. Eng. Rev. Miroslav Kubat
2000	C	`conf`	Learning Middle Game Patterns in Chess: A Case Study. IEA/AIE Miroslav Kubat, Jan Zizka
2000	C	`conf`	Meta-classifiers and Selective Superiority. IEA/AIE Ryan G. Benton, Miroslav Kubat, Rasiah Loganantharaj
2000	J	`jnl`	Recycling Decision Trees in Numeric Domains. Informatica (Slovenia) Miroslav Kubat
2000	A*	`conf`	Voting Nearest-Neighbor Subclassifiers. ICML Miroslav Kubat, Martin Cooperson Jr.
1999	—	`conf`	Initializing RBF-Networks with Small Subsets of Training Examples. AAAI/IAAI Miroslav Kubat, Martin Cooperson Jr.
1999	J	`jnl`	Neural networks: a comprehensive foundation by Simon Haykin, Macmillan, 1994, ISBN 0-02-352781-7. Knowl. Eng. Rev. Miroslav Kubat
1999	J	`jnl`	Reinforcement learning by AG Barto and RS Sutton, MIT Press, Cambridge, MA 1998, ISBN 0-262-19398-1. Knowl. Eng. Rev. Miroslav Kubat
1998	J	`jnl`	Decision trees can initialize radial-basis function networks. IEEE Trans. Neural Networks Miroslav Kubat
1998	J	`jnl`	Guest Editors' Introduction. Mach. Learn. Gerhard Widmer, Miroslav Kubat
1998	J	`jnl`	Machine Learning for the Detection of Oil Spills in Satellite Radar Images. Mach. Learn. Miroslav Kubat, Robert C. Holte, Stan Matwin
1997	A*	`conf`	Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. ICML Miroslav Kubat, Stan Matwin
1997	—	`conf`	Learning When Negative Examples Abound. ECML Miroslav Kubat, Robert C. Holte, Stan Matwin
1997	J	`jnl`	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. Miroslav Kubat
1996	J	`jnl`	Learning in the Presence of Concept Drift and Hidden Contexts. Mach. Learn. Gerhard Widmer, Miroslav Kubat
1996	A*	`conf`	Second Tier for Decision Trees. ICML Miroslav Kubat
1995	J	`jnl`	A rough set approach to reasoning under uncertainty. J. Exp. Theor. Artif. Intell. Simon Parsons, Miroslav Kubat, Mirko Dohnal
1995	—	`conf`	Adapting to Drift in Continuous Domains (Extended Abstract). ECML Miroslav Kubat, Gerhard Widmer
1995	—	`conf`	Decision-Tree Based Neural Network (Extended Abstract). ECML Irena Ivanova, Miroslav Kubat
1995	J	`jnl`	Initialization of neural networks by means of decision trees. Knowl. Based Syst. Irena Ivanova, Miroslav Kubat
1995	—	`conf`	Pruning Multivariate Decision Trees by Hyperplane Merging. ECML Miroslav Kubat, Doris Flotzinger
1995	B	`conf`	Trimming the inputs of RBF networks. ESANN Colin Andrew, Miroslav Kubat, Gert Pfurtscheller
1994	J	`jnl`	A first-order logic for reasoning under uncertainty using rough sets. J. Intell. Manuf. Simon Parsons, Miroslav Kubat
1994	J	`jnl`	AI-based approach to automatic sleep classification. Biol. Cybern. Miroslav Kubat, Gert Pfurtscheller, Doris Flotzinger
1994	J	`jnl`	Approximating Knowledge in a Multi-Agent System. Informatica (Slovenia) Miroslav Kubat, Simon Parsons
1994	J	`jnl`	Face recognition through learning boundary characteristics. Appl. Artif. Intell. Libor Spacek, Miroslav Kubat, Doris Flotzinger
1993	—	`conf`	Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods. ECML Miroslav Kubat, Doris Flotzinger, Gert Pfurtscheller
1993	—	`conf`	Effective Learning in Dynamic Environments by Explicit Context Tracking. ECML Gerhard Widmer, Miroslav Kubat
1993	J	`jnl`	Flexible concept learning in real-time systems. J. Intell. Robotic Syst. Miroslav Kubat
1992	J	`jnl`	Conceptual Inductive Learning: The Case of Unreliable Teachers. Artif. Intell. Miroslav Kubat
1992	J	`jnl`	FAVORIT: Concept formation with ageing of knowledge. Pattern Recognit. Lett. Ivana Krizakova, Miroslav Kubat
1992	J	`jnl`	Forgetting and aging of knowledge in concept formation. Appl. Artif. Intell. Miroslav Kubat, Ivana Krizakova
1992	—	`conf`	Introduction to Machine Learning. Advanced Topics in Artificial Intelligence Miroslav Kubat
1992	A	`conf`	Learning Flexible Concepts from Streams of Examples: FLORA 2. ECAI Gerhard Widmer, Miroslav Kubat
1991	—	`conf`	The System FLORA: Learning from Type-Varying Training Sets. EWSL Miroslav Kubat, Jirina Pavlickova
1989	J	`jnl`	Floating approximation in time-varying knowledge bases. Pattern Recognit. Lett. Miroslav Kubat