 | 2009 |
|---|
| 50 |       | Kasun Wickramaratna,
Miroslav Kubat,
Kamal Premaratne:
Predicting Missing Items in Shopping Carts.
IEEE Trans. Knowl. Data Eng. 21(7): 985-998 (2009) |
| 2008 |
|---|
| 49 | | 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 |
| 48 | | Kanoksri Sarinnapakorn,
Miroslav Kubat:
Induction from Multi-Label Examples in Information Retrieval Systems: a Case Study.
Applied Artificial Intelligence 22(5): 407-432 (2008) |
| 47 | | Kasun Wickramaratna,
Miroslav Kubat,
Peter Minnett:
Discovering numeric laws, a case study: CO_2 fugacity in the ocean.
Intell. Data Anal. 12(4): 379-391 (2008) |
| 46 | | 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 |
|---|
| 45 |  | Hans Holland,
Miroslav Kubat,
Jan Zizka:
Instance-Based Classifiers Dealing with Ambiguous Attributes and Class Labels.
FLAIRS Conference 2007: 598-603 |
| 44 | | Kasun Wickramaratna,
Miroslav Kubat,
Peter Minnett:
Automated Search for the Quantitative Laws Affecting CO2 Fugacity in Sea Water.
FLAIRS Conference 2007: 638- |
| 43 | | Kanoksri Sarinnapakorn,
Miroslav Kubat:
Induction from Multi-Label Training Examples in Text Categorization: Combining Subclassifiers (a Case Study).
IC-AI 2007: 351-357 |
| 42 | | 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) |
| 41 | | 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) |
| 40 | | Wadee S. Alhalabi,
Miroslav Kubat,
Moiez A. Tapia:
Search engine ranking efficiency evaluation tool.
SIGCSE Bulletin 39(2): 97-101 (2007) |
| 2006 |
|---|
| 39 | | Yu Li,
Miroslav Kubat:
Searching for high-support itemsets in itemset trees.
Intell. Data Anal. 10(2): 105-120 (2006) |
| 2005 |
|---|
| 38 | | Xiaoyuan Su,
Miroslav Kubat,
Moiez A. Tapia,
Chao Hu:
Query Size Estimation Using Clustering Techniques.
ICTAI 2005: 185-189 |
| 37 | | Antonin Rozsypal,
Miroslav Kubat:
Association mining in time-varying domains.
Intell. Data Anal. 9(3): 273-288 (2005) |
| 2004 |
|---|
| 36 | | Miroslav Kubat:
Induction in Time-Varying Domains: Motivation, Origins, and Encouragements.
ECBS 2004: 316-322 |
| 35 | | Miroslav Kubat,
Joao Gama,
Paul E. Utgoff:
Incremental learning and concept drift: Editor's introduction.
Intell. Data Anal. 8(3): 211-212 (2004) |
| 2003 |
|---|
| 34 | | Antonin Rozsypal,
Miroslav Kubat:
Association Mining in Gradually Changing Domains.
FLAIRS Conference 2003: 366-370 |
| 33 | | 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) |
| 32 | | Antonin Rozsypal,
Miroslav Kubat:
Selecting representative examples and attributes by a genetic algorithm.
Intell. Data Anal. 7(4): 291-304 (2003) |
| 2002 |
|---|
| 31 | | Ronnie Fanguy,
Miroslav Kubat:
Modifying Upstart for Use in Multiclass Numerical Domains.
FLAIRS Conference 2002: 339-343 |
| 2001 |
|---|
| 30 | | 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 |
| 29 | | 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) |
| 28 | | 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 |
|---|
| 27 | | Miroslav Kubat,
Martin Cooperson Jr.:
Voting Nearest-Neighbor Subclassifiers.
ICML 2000: 503-510 |
| 26 | | Miroslav Kubat,
Jan Zizka:
Learning Middle Game Patterns in Chess: A Case Study.
IEA/AIE 2000: 426-432 |
| 25 | | Ryan Benton,
Miroslav Kubat,
Rasiah Loganantharaj:
Meta-classifiers and Selective Superiority.
IEA/AIE 2000: 434-442 |
| 24 | | Miroslav Kubat:
Recycling Decision Trees in Numeric Domains.
Informatica (Slovenia) 24(2): (2000) |
| 1999 |
|---|
| 23 | | Miroslav Kubat,
Martin Cooperson Jr.:
Initializing RBF-Networks with Small Subsets of Training Examples.
AAAI/IAAI 1999: 188-193 |
| 1998 |
|---|
| 22 | | 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) |
| 21 | | Gerhard Widmer,
Miroslav Kubat:
Guest Editors' Introduction.
Machine Learning 32(2): 83-84 (1998) |
| 1997 |
|---|
| 20 | | Miroslav Kubat,
Robert C. Holte,
Stan Matwin:
Learning When Negative Examples Abound.
ECML 1997: 146-153 |
| 19 | | Miroslav Kubat,
Stan Matwin:
Addressing the Curse of Imbalanced Training Sets: One-Sided Selection.
ICML 1997: 179-186 |
| 1996 |
|---|
| 18 | | Miroslav Kubat:
Second Tier for Decision Trees.
ICML 1996: 293-301 |
| 17 | | Gerhard Widmer,
Miroslav Kubat:
Learning in the Presence of Concept Drift and Hidden Contexts.
Machine Learning 23(1): 69-101 (1996) |
| 1995 |
|---|
| 16 | | Miroslav Kubat,
Doris Flotzinger:
Pruning Multivariate Decision Trees by Hyperplane Merging.
ECML 1995: 190-199 |
| 15 | | Irena Ivanova,
Miroslav Kubat:
Decision-Tree Based Neural Network (Extended Abstract).
ECML 1995: 295-298 |
| 14 | | Miroslav Kubat,
Gerhard Widmer:
Adapting to Drift in Continuous Domains (Extended Abstract).
ECML 1995: 307-310 |
| 13 | | Irena Ivanova,
Miroslav Kubat:
Initialization of neural networks by means of decision trees.
Knowl.-Based Syst. 8(6): 333-344 (1995) |
| 1994 |
|---|
| 12 | | Libor Spacek,
Miroslav Kubat,
Doris Flotzinger:
Face recognition through learning boundary characteristics.
Applied Artificial Intelligence 8(1): 149-164 (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) |
