2007 |
29 | | Tomasz F. Stepinski,
Soumya Ghosh,
Ricardo Vilalta:
Machine Learning for Automatic Mapping of Planetary Surfaces.
AAAI 2007: 1807-1812 |
28 | EE | Chaofan Sun,
Ricardo Vilalta:
Data Selection Using SASH Trees for Support Vector Machines.
MLDM 2007: 286-295 |
27 | EE | 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 |
26 | EE | 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) |
25 | EE | Tomasz F. Stepinski,
Ricardo Vilalta,
Soumya Ghosh:
Machine Learning Tools for Automatic Mapping of Martian Landforms.
IEEE Intelligent Systems 22(6): 100-106 (2007) |
2006 |
24 | EE | Tomasz F. Stepinski,
Soumya Ghosh,
Ricardo Vilalta:
Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification.
Discovery Science 2006: 255-266 |
2005 |
23 | EE | Abraham Bagherjeiran,
Christoph F. Eick,
Chun-Sheng Chen,
Ricardo Vilalta:
Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience.
ICDM 2005: 565-568 |
22 | EE | Abraham Bagherjeiran,
Ricardo Vilalta,
Christoph F. Eick:
Content-Based Image Retrieval through a Multi-Agent Meta-Learning Framework.
ICTAI 2005: 24-28 |
21 | EE | Christoph F. Eick,
Alain Rouhana,
Abraham Bagherjeiran,
Ricardo Vilalta:
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment.
MLDM 2005: 120-131 |
20 | EE | Bruce Knuteson,
Ricardo Vilalta:
Testing Theories in Particle Physics Using Maximum Likelihood and Adaptive Bin Allocation.
PKDD 2005: 552-560 |
19 | | Ricardo Vilalta,
Christophe G. Giraud-Carrier,
Pavel Brazdil:
Meta-Learning.
The Data Mining and Knowledge Discovery Handbook 2005: 731-748 |
2004 |
18 | | Ricardo Vilalta,
Murali-Krishna Achari,
Christoph F. Eick:
Piece-Wise Model Fitting Using Local Data Patterns.
ECAI 2004: 559-563 |
17 | EE | Christoph F. Eick,
Nidal M. Zeidat,
Ricardo Vilalta:
Using Representative-Based Clustering for Nearest Neighbor Dataset Editing.
ICDM 2004: 375-378 |
16 | EE | 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 |
15 | EE | Ricardo Vilalta,
Christophe G. Giraud-Carrier,
Pavel Brazdil,
Carlos Soares:
Using Meta-Learning to Support Data Mining.
IJCSA 1(1): 31-45 (2004) |
14 | EE | Christophe G. Giraud-Carrier,
Ricardo Vilalta,
Pavel Brazdil:
Introduction to the Special Issue on Meta-Learning.
Machine Learning 54(3): 187-193 (2004) |
2003 |
13 | EE | Ricardo Vilalta,
Irina Rish:
A Decomposition of Classes via Clustering to Explain and Improve Naive Bayes.
ECML 2003: 444-455 |
12 | EE | Ricardo Vilalta,
Murali-Krishna Achari,
Christoph F. Eick:
Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers.
ICDM 2003: 673-676 |
11 | EE | 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 |
2002 |
10 | EE | Ricardo Vilalta,
Sheng Ma:
Predicting Rare Events In Temporal Domains.
ICDM 2002: 474-481 |
9 | | Ricardo Vilalta,
Youssef Drissi:
A Characterization of Difficult Problems in Classification.
ICMLA 2002: 133-138 |
8 | EE | Carlotta Domeniconi,
Chang-Shing Perng,
Ricardo Vilalta,
Sheng Ma:
A Classification Approach for Prediction of Target Events in Temporal Sequences.
PKDD 2002: 125-137 |
7 | | Ricardo Vilalta,
Youssef Drissi:
A Perspective View and Survey of Meta-Learning.
Artif. Intell. Rev. 18(2): 77-95 (2002) |
6 | EE | 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) |
2001 |
5 | EE | Ricardo Vilalta,
Mark Brodie,
Daniel Oblinger,
Irina Rish:
A Unified Framework for Evaluation Metrics in Classification Using Decision Trees.
ECML 2001: 503-514 |
2000 |
4 | EE | Ricardo Vilalta,
Chidanand Apté,
Sholom M. Weiss:
Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection.
DSOM 2000: 37-46 |
3 | | Ricardo Vilalta,
Daniel Oblinger:
A Quantification of Distance Bias Between Evaluation Metrics In Classification.
ICML 2000: 1087-1094 |
1997 |
2 | | Ricardo Vilalta,
Gunnar Blix,
Larry A. Rendell:
Global Data Analysis and the Fragmentation Problem in Decision Tree Induction.
ECML 1997: 312-326 |
1 | | Ricardo Vilalta,
Larry A. Rendell:
Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction.
ICML 1997: 394-402 |