Ricardo Vilalta

Wei Ding, Tomasz F. Stepinski, Yang Mu, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao, Xindong Wu: Subkilometer crater discovery with boosting and transfer learning. ACM TIST 2(4): 39 (2011)

Predrag T. Tosic, Ricardo Vilalta: A unified framework for reinforcement learning, co-learning and meta-learning how to coordinate in collaborative multi-agent systems. Procedia CS 1(1): 2217-2226 (2010)

Soumya Ghosh, Tomasz F. Stepinski, Ricardo Vilalta: Automatic Annotation of Planetary Surfaces With Geomorphic Labels. IEEE T. Geoscience and Remote Sensing 48(1-1): 175-185 (2010)

Wei Ding, Tomasz F. Stepinski, Lourenço P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao: Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting. CIKM 2010: 749-758

Predrag T. Tosic, Ricardo Vilalta: Learning and Meta-Learning for Coordination of Autonomous Unmanned Vehicles - A Preliminary Analysis. ECAI 2010: 163-168

Ricardo Vilalta, Francisco Ocegueda-Hernandez, C. Bagaria: A Conceptual Study of Model Selection in Classification - Multiple Local Models vs One Global Model. ICAART (1) 2010: 113-118

Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil: Meta-Learning - Concepts and Techniques. Data Mining and Knowledge Discovery Handbook 2010: 717-731

Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares: Inductive Transfer. Encyclopedia of Machine Learning 2010: 545-548

Pavel Brazdil, Ricardo Vilalta, Christophe G. Giraud-Carrier, Carlos Soares: Metalearning. Encyclopedia of Machine Learning 2010: 662-666

Pavel Brazdil, Christophe G. Giraud-Carrier, Carlos Soares, Ricardo Vilalta: Metalearning - Applications to Data Mining. Cognitive Technologies, Springer 2009, isbn 978-3-540-73262-4, pp. I-X, 1-176

Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricardo Vilalta: A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining. ADMA 2009: 188-199

Ricardo Vilalta, Tomasz F. Stepinski: Cluster Validation. Encyclopedia of Data Warehousing and Mining 2009: 231-236

Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares, Ricardo Vilalta: Meta-Learning. Encyclopedia of Data Warehousing and Mining 2009: 1207-1215

Ricardo Vilalta, Tomasz F. Stepinski, Murali-Krishna Achari: An efficient approach to external cluster assessment with an application to martian topography. Data Min. Knowl. Discov. 14(1): 1-23 (2007)

Tomasz F. Stepinski, Ricardo Vilalta, Soumya Ghosh: Machine Learning Tools for Automatic Mapping of Martian Landforms. IEEE Intelligent Systems 22(6): 100-106 (2007)

Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta: Machine Learning for Automatic Mapping of Planetary Surfaces. AAAI 2007: 1807-1812

Chaofan Sun, Ricardo Vilalta: Data Selection Using SASH Trees for Support Vector Machines. MLDM 2007: 286-295

Jaspal Subhlok, Olin Johnson, Venkat Subramaniam, Ricardo Vilalta, Chang Yun: Tablet PC video based hybrid coursework in computer science: report from a pilot project. SIGCSE 2007: 74-78

Christoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta: Using clustering to learn distance functions for supervised similarity assessment. Eng. Appl. of AI 19(4): 395-401 (2006)

Ricardo Vilalta: Identifying and Characterizing Class Clusters to Explain Learning Performance. AAAI Spring Symposium: What Went Wrong and Why: Lessons from AI Research and Applications 2006: 19-25

Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta: Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification. Discovery Science 2006: 255-266

Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil: Meta-Learning. The Data Mining and Knowledge Discovery Handbook 2005: 731-748

Abraham Bagherjeiran, Christoph F. Eick, Chun-Sheng Chen, Ricardo Vilalta: Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience. ICDM 2005: 565-568

Abraham Bagherjeiran, Ricardo Vilalta, Christoph F. Eick: Content-Based Image Retrieval through a Multi-Agent Meta-Learning Framework. ICTAI 2005: 24-28

Christoph F. Eick, Alain Rouhana, Abraham Bagherjeiran, Ricardo Vilalta: Using Clustering to Learn Distance Functions for Supervised Similarity Assessment. MLDM 2005: 120-131

Bruce Knuteson, Ricardo Vilalta: Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation. PKDD 2005: 552-560

Ricardo Vilalta, Christophe G. Giraud-Carrier, Pavel Brazdil, Carlos Soares: Using Meta-Learning to Support Data Mining. IJCSA 1(1): 31-45 (2004)

Christophe G. Giraud-Carrier, Ricardo Vilalta, Pavel Brazdil: Introduction to the Special Issue on Meta-Learning. Machine Learning 54(3): 187-193 (2004)

Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick: Piece-Wise Model Fitting Using Local Data Patterns. ECAI 2004: 559-563

Christoph F. Eick, Nidal M. Zeidat, Ricardo Vilalta: Using Representative-Based Clustering for Nearest Neighbor Dataset Editing. ICDM 2004: 375-378

Ricardo Vilalta, Tomasz F. Stepinski, Murali-Krishna Achari, Francisco Ocegueda-Hernandez: A Quantification of Cluster Novelty with an Application to Martian Topography. PKDD 2004: 434-445

Ricardo Vilalta, Daniel Oblinger: Evaluation Metrics in Classification: A Quantification of Distance-Bias. Computational Intelligence 19(3): 264-283 (2003)

Ricardo Vilalta, Irina Rish: A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes. ECML 2003: 444-455

Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick: Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers. ICDM 2003: 673-676

Ramendra K. Sahoo, Adam J. Oliner, Irina Rish, Manish Gupta, José E. Moreira, Sheng Ma, Ricardo Vilalta, Anand Sivasubramaniam: Critical event prediction for proactive management in large-scale computer clusters. KDD 2003: 426-435

Ricardo Vilalta, Youssef Drissi: A Perspective View and Survey of Meta-Learning. Artif. Intell. Rev. 18(2): 77-95 (2002)

Ricardo Vilalta, Chidanand Apté, Joseph L. Hellerstein, Sheng Ma, Sholom M. Weiss: Predictive algorithms in the management of computer systems. IBM Systems Journal 41(3): 461-474 (2002)

Ricardo Vilalta, Sheng Ma: Predicting Rare Events In Temporal Domains. ICDM 2002: 474-481

Ricardo Vilalta, Youssef Drissi: A Characterization of Difficult Problems in Classification. ICMLA 2002: 133-138

Carlotta Domeniconi, Chang-Shing Perng, Ricardo Vilalta, Sheng Ma: A Classification Approach for Prediction of Target Events in Temporal Sequences. PKDD 2002: 125-137

Ricardo Vilalta, Sheng Ma, Joseph L. Hellerstein: Rule Induction of Computer Events. DSOM 2001: 75-86

Ricardo Vilalta, Mark Brodie, Daniel Oblinger, Irina Rish: A Unified Framework for Evaluation Metrics in Classification Using Decision Trees. ECML 2001: 503-514

Ricardo Vilalta, Chidanand Apté, Sholom M. Weiss: Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection. DSOM 2000: 37-46

Ricardo Vilalta, Daniel Oblinger: A Quantification of Distance Bias Between Evaluation Metrics In Classification. ICML 2000: 1087-1094

Ricardo Vilalta, Gunnar Blix, Larry A. Rendell: Global Data Analysis and the Fragmentation Problem in Decision Tree Induction. ECML 1997: 312-326

Ricardo Vilalta, Larry A. Rendell: Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction. ICML 1997: 394-402