Miroslav Kubat

	2011
60		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): 175-189 (2011)
59		Sareewan Dendamrongvit, Peerapon Vateekul, Miroslav Kubat: Irrelevant attributes and imbalanced classes in multi-label text-categorization domains. Intell. Data Anal. 15(6): 843-859 (2011)
	2010
58		Miroslav Kubat, Kanoksri Sarinnapakorn, Sareewan Dendamrongvit: Induction in Multi-Label Text Classification Domains. Advances in Machine Learning II 2010: 225-244
57		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): 1724-1737 (2010)
	2009
56		Kasun Wickramaratna, Miroslav Kubat, Kamal Premaratne, Thanuka Wickramarathne: Rule Mining and Missing-Value Prediction in the Presence of Data Ambiguities. FLAIRS Conference 2009
55		Peerapon Vateekul, Miroslav Kubat: Fast Induction of Multiple Decision Trees in Text Categorization from Large Scale, Imbalanced, and Multi-label Data. ICDM Workshops 2009: 320-325
54		Sareewan Dendamrongvit, Miroslav Kubat: Undersampling Approach for Imbalanced Training Sets and Induction from Multi-label Text-Categorization Domains. PAKDD Workshops 2009: 40-52
53		Kasun Wickramaratna, Miroslav Kubat, Kamal Premaratne: Predicting Missing Items in Shopping Carts. IEEE Trans. Knowl. Data Eng. 21(7): 985-998 (2009)
	2008
52		S. P. Subasingha, J. Zhang, Kamal Premaratne, Mei-Ling Shyu, Miroslav Kubat, K. K. Rohitha Hewawasam: Using Association Rules for Classification from Databases Having Class Label Ambiguities: A Belief Theoretic Method. Data Mining: Foundations and Practice 2008: 539-562
51		Kanoksri Sarinnapakorn, Miroslav Kubat: Induction from Multi-Label Examples in Information Retrieval Systems: a Case Study. Applied Artificial Intelligence 22(5): 407-432 (2008)
50		Kasun Wickramaratna, Miroslav Kubat, Peter J. Minnett: Discovering numeric laws, a case study: CO_2 fugacity in the ocean. Intell. Data Anal. 12(4): 379-391 (2008)
49		Hans Holland, Miroslav Kubat, Jan Zizka: Handling Ambiguous Values in Instance-Based Classifiers. International Journal on Artificial Intelligence Tools 17(3): 449-463 (2008)
	2007
48		Hans Holland, Miroslav Kubat, Jan Zizka: Instance-Based Classifiers Dealing with Ambiguous Attributes and Class Labels. FLAIRS Conference 2007: 598-603
47		Kasun Wickramaratna, Miroslav Kubat, Peter J. Minnett: Automated Search for the Quantitative Laws Affecting CO2 Fugacity in Sea Water. FLAIRS Conference 2007: 638-
46		Kanoksri Sarinnapakorn, Miroslav Kubat: Induction from Multi-Label Training Examples in Text Categorization: Combining Subclassifiers (a Case Study). IC-AI 2007: 351-357
45		Kanoksri Sarinnapakorn, Miroslav Kubat: Combining Subclassifiers in Text Categorization: A DST-Based Solution and a Case Study. IEEE Trans. Knowl. Data Eng. 19(12): 1638-1651 (2007)
44		Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia: A Tool to Personalize the Ranking of the Documents Returned by an Internet Search Engine. JCIT 2(3): 6-10 (2007)
43		Wadee S. Alhalabi, Miroslav Kubat, Moiez A. Tapia: Search engine ranking efficiency evaluation tool. SIGCSE Bulletin 39(2): 97-101 (2007)
	2006
42		Yu Li, Miroslav Kubat: Searching for high-support itemsets in itemset trees. Intell. Data Anal. 10(2): 105-120 (2006)
	2005
41		Xiaoyuan Su, Miroslav Kubat, Moiez A. Tapia, Chao Hu: Query Size Estimation Using Clustering Techniques. ICTAI 2005: 185-189
40		Antonin Rozsypal, Miroslav Kubat: Association mining in time-varying domains. Intell. Data Anal. 9(3): 273-288 (2005)
	2004
39		Miroslav Kubat: Induction in Time-Varying Domains: Motivation, Origins, and Encouragements. ECBS 2004: 316-322
38		Miroslav Kubat, Joao Gama, Paul E. Utgoff: Incremental learning and concept drift: Editor's introduction. Intell. Data Anal. 8(3): 211-212 (2004)
	2003
37		Antonin Rozsypal, Miroslav Kubat: Association Mining in Gradually Changing Domains. FLAIRS Conference 2003: 366-370
36		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): 1522-1534 (2003)
35		Antonin Rozsypal, Miroslav Kubat: Selecting representative examples and attributes by a genetic algorithm. Intell. Data Anal. 7(4): 291-304 (2003)
	2002
34		Ronnie Fanguy, Miroslav Kubat: Modifying Upstart for Use in Multiclass Numerical Domains. FLAIRS Conference 2002: 339-343
	2001
33		Antonin Rozsypal, Miroslav Kubat: Using the Genetic Algorithm to Reduce the Size of a Nearest-Neighbor Classifier and to Select Relevant Attributes. ICML 2001: 449-456
32		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 Magazine 22(1): 127-136 (2001)
31		Miroslav Kubat, Martin Cooperson Jr.: A reduction technique for nearest-neighbor classification: Small groups of examples. Intell. Data Anal. 5(6): 463-476 (2001)
	2000
30		Miroslav Kubat, Martin Cooperson Jr.: Voting Nearest-Neighbor Subclassifiers. ICML 2000: 503-510
29		Miroslav Kubat, Jan Zizka: Learning Middle Game Patterns in Chess: A Case Study. IEA/AIE 2000: 426-432
28		Ryan G. Benton, Miroslav Kubat, Rasiah Loganantharaj: Meta-classifiers and Selective Superiority. IEA/AIE 2000: 434-442
27		Miroslav Kubat: Recycling Decision Trees in Numeric Domains. Informatica (Slovenia) 24(2): (2000)
	1999
26		Miroslav Kubat, Martin Cooperson Jr.: Initializing RBF-Networks with Small Subsets of Training Examples. AAAI/IAAI 1999: 188-193
	1998
25		Miroslav Kubat, Robert C. Holte, Stan Matwin: Machine Learning for the Detection of Oil Spills in Satellite Radar Images. Machine Learning 30(2-3): 195-215 (1998)
24		Gerhard Widmer, Miroslav Kubat: Guest Editors' Introduction. Machine Learning 32(2): 83-84 (1998)
	1997
23		Miroslav Kubat, Robert C. Holte, Stan Matwin: Learning When Negative Examples Abound. ECML 1997: 146-153
22		Miroslav Kubat, Stan Matwin: Addressing the Curse of Imbalanced Training Sets: One-Sided Selection. ICML 1997: 179-186
	1996
21		Miroslav Kubat: Second Tier for Decision Trees. ICML 1996: 293-301
20		Gerhard Widmer, Miroslav Kubat: Learning in the Presence of Concept Drift and Hidden Contexts. Machine Learning 23(1): 69-101 (1996)
	1995
19		Miroslav Kubat, Doris Flotzinger: Pruning Multivariate Decision Trees by Hyperplane Merging. ECML 1995: 190-199
18		Irena Ivanova, Miroslav Kubat: Decision-Tree Based Neural Network (Extended Abstract). ECML 1995: 295-298
17		Miroslav Kubat, Gerhard Widmer: Adapting to Drift in Continuous Domains (Extended Abstract). ECML 1995: 307-310
16		C. Andrew, Miroslav Kubat, Gert Pfurtscheller: Trimming the inputs of RBF networks. ESANN 1995
15		Simon Parsons, Miroslav Kubat, Mirko Dohnal: A rough set approach to reasoning under uncertainty. J. Exp. Theor. Artif. Intell. 7(2): 175-193 (1995)
14		Irena Ivanova, Miroslav Kubat: Initialization of neural networks by means of decision trees. Knowl.-Based Syst. 8(6): 333-344 (1995)
	1994
13		Libor Spacek, Miroslav Kubat, Doris Flotzinger: Face recognition through learning boundary characteristics. Applied Artificial Intelligence 8(1): 149-164 (1994)
12		Miroslav Kubat, Gert Pfurtscheller, Doris Flotzinger: AI-based approach to automatic sleep classification. Biological Cybernetics 70(5): 443-448 (1994)
11		Miroslav Kubat, Simon Parsons: Approximating Knowledge in a Multi-Agent System. Informatica (Slovenia) 18(2): (1994)
	1993
10		Gerhard Widmer, Miroslav Kubat: Effective Learning in Dynamic Environments by Explicit Context Tracking. ECML 1993: 227-243
9		Miroslav Kubat, Doris Flotzinger, Gert Pfurtscheller: Discovering Patterns in EEG-Signals: Comparative Study of a Few Methods. ECML 1993: 366-371
8		Miroslav Kubat: Flexible concept learning in real-time systems. Journal of Intelligent and Robotic Systems 8(2): 155-171 (1993)
	1992
7		Miroslav Kubat: Introduction to Machine Learning. Advanced Topics in Artificial Intelligence 1992: 104-138
6		Gerhard Widmer, Miroslav Kubat: Learning Flexible Concepts from Streams of Examples: FLORA 2. ECAI 1992: 463-467
5		Miroslav Kubat, Ivana Krizakova: Forgetting and aging of knowledge in concept formation. Applied Artificial Intelligence 6(2): 195-206 (1992)
4		Miroslav Kubat: Conceptual Inductive Learning: The Case of Unreliable Teachers. Artif. Intell. 52(2): 169-182 (1992)
3		Ivana Krizakova, Miroslav Kubat: FAVORIT: Concept formation with ageing of knowledge. Pattern Recognition Letters 13(1): 19-25 (1992)
	1991
2		Miroslav Kubat, Jirina Pavlickova: The System FLORA: Learning from Type-Varying Training Sets. EWSL 1991: 234
	1989
1		Miroslav Kubat: Floating approximation in time-varying knowledge bases. Pattern Recognition Letters 10(4): 223-227 (1989)

Coauthor Index

1	David W. Aha	[32]
2	Wadee S. Alhalabi	[43] [44]
3	C. Andrew	[16]
4	Ryan G. Benton	[28]
5	Claudio Bettini	[32]
6	William P. Birmingham	[32]
7	Kurt D. Bollacker	[32]
8	Nicholas J. Bryan	[57]
9	Wei Kian Chen	[36]
10	Martin Cooperson Jr.	[26] [30] [31]
11	Sareewan Dendamrongvit	[54] [58] [59]
12	Jörg Denzinger	[32]
13	Mirko Dohnal	[15]
14	Ronnie Fanguy	[34]
15	Timothy W. Finin (Tim Finin)	[32]
16	Doris Flotzinger	[9] [12] [13] [19]
17	João Gama (Joao Gama)	[38]
18	Lise Getoor	[32]
19	Yolanda Gil	[32]
20	Carla P. Gomes	[32]
21	Benjamin N. Grosof	[32]
22	Aladdin Hafez	[36]
23	K. K. Rohitha Hewawasam	[52]
24	Hans Holland	[48] [49]
25	Robert C. Holte (Robert Holte)	[23] [25] [32]
26	Holger H. Hoos (Holger Hoos)	[32]
27	Chao Hu	[41]
28	Irena Ivanova	[14] [18]
29	Nathalie Japkowicz	[32]
30	D. T. Jayaweera	[60]
31	Ivana Krizakova	[3] [5]
32	Jayakrishna R. Lekkala	[36]
33	Yves Lespérance	[32]
34	Yu Li	[42]
35	Rasiah Loganantharaj (Raja Loganantharaj)	[28]
36	Stan Matwin	[22] [23] [25]
37	Peter J. Minnett	[47] [50]
38	Tom M. Mitchell	[32]
39	Angelo Montanari	[32]
40	Karen L. Myers	[32]
41	Alexander Nareyek	[32]
42	Simon Parsons	[11] [15]
43	Jirina Pavlickova	[2]
44	Gert Pfurtscheller	[9] [12] [16]
45	Kamal Premaratne	[52] [53] [56] [60]
46	Thiago Quirino	[57]
47	Vijay V. Raghavan (Vijay Raghavan)	[36]
48	Antonin Rozsypal	[33] [35] [37] [40]
49	Kanoksri Sarinnapakorn	[45] [46] [51] [58]
50	Alan C. Schultz	[32]
51	Mei-Ling Shyu	[52]
52	Libor Spacek	[13]
53	Xiaoyuan Su	[41]
54	S. P. Subasingha	[52]
55	Moiez A. Tapia	[41] [43] [44]
56	Paul E. Utgoff	[38]
57	Peerapon Vateekul	[55] [59]
58	Gerd Wagner	[32]
59	J. Paul Walser	[32]
60	Thanuka Wickramarathne	[56] [60]
61	Kasun Wickramaratna	[47] [50] [53] [56]
62	Gerhard Widmer	[6] [10] [17] [20] [24]
63	J. Zhang	[52]
64	Jan Zizka	[29] [48] [49]

Colors in the list of coauthors

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