| 2024 | DIS | Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks. | Michail Koumpanakis, Ricardo Vilalta |
| 2021 | AAAI | Learning Abstract Task Representations. | Mikhail M. Meskhi, Adriano Rivolli, Rafael G. Mantovani, Ricardo Vilalta |
| 2014 | AAAI | A Data Complexity Approach to Kernel Selection for Support Vector Machines. | Roberto Valerio, Ricardo Vilalta |
| 2014 | CASES | Fault resilient physical neural networks on a single chip. | Weidong Shi, Yuanfeng Wen, Ziyi Liu, Xi Zhao, Dainis Boumber, Ricardo Vilalta, Lei Xu |
| 2014 | ICPR | Domain Adaptation under Data Misalignment: An Application to Cepheid Variable Star Classification. | Ricardo Vilalta, Kinjal Dhar Gupta, Lucas Macri |
| 2013 | SDM | An Empirical Study of the Suitability of Class Decomposition for Linear Models: When Does It Work Well? | Francisco Ocegueda-Hernandez, Ricardo Vilalta |
| 2012 | GRC | Modeling repetitive patterns: A bridge between pattern theory and data mining. | Ricardo Vilalta, Luis Real |
| 2010 | CIKM | Automatic detection of craters in planetary images: an embedded framework using feature selection and boosting. | Wei Ding, Tomasz F. Stepinski, Loureno P. C. Bandeira, Ricardo Vilalta, Youxi Wu, Zhenyu Lu, Tianyu Cao |
| 2010 | ECAI | Learning and Meta-Learning for Coordination of Autonomous Unmanned Vehicles - A Preliminary Analysis. | Predrag T. Tosic, Ricardo Vilalta |
| 2010 | ICAART | A Conceptual Study of Model Selection in Classification - Multiple Local Models vs One Global Model. | Ricardo Vilalta, Francisco Ocegueda-Hernandez, C. Bagaria |
| 2009 | ADMA | A Framework for Multi-Objective Clustering and Its Application to Co-Location Mining. | Rachsuda Jiamthapthaksin, Christoph F. Eick, Ricardo Vilalta |
| 2007 | AAAI | Machine Learning for Automatic Mapping of Planetary Surfaces. | Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta |
| 2007 | SIGCSE | Tablet PC video based hybrid coursework in computer science: report from a pilot project. | Jaspal Subhlok, Olin G. Johnson, Venkat Subramaniam, Ricardo Vilalta, Chang Yun |
| 2006 | DIS | Automatic Recognition of Landforms on Mars Using Terrain Segmentation and Classification. | Tomasz F. Stepinski, Soumya Ghosh, Ricardo Vilalta |
| 2005 | ICDM | Adaptive Clustering: Obtaining Better Clusters Using Feedback and Past Experience. | Abraham Bagherjeiran, Christoph F. Eick, Chun-Sheng Chen, Ricardo Vilalta |
| 2005 | ICTAI | Content-Based Image Retrieval through a Multi-Agent Meta-Learning Framework. | Abraham Bagherjeiran, Ricardo Vilalta, Christoph F. Eick |
| 2004 | ECAI | Piece-Wise Model Fitting Using Local Data Patterns. | Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick |
| 2004 | ICDM | Using Representative-Based Clustering for Nearest Neighbor Dataset Editing. | Christoph F. Eick, Nidal M. Zeidat, Ricardo Vilalta |
| 2003 | ICDM | Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers. | Ricardo Vilalta, Murali-Krishna Achari, Christoph F. Eick |
| 2003 | KDD | Critical event prediction for proactive management in large-scale computer clusters. | Ramendra K. Sahoo, Adam J. Oliner, Irina Rish, Manish Gupta, Jos E. Moreira, Sheng Ma, Ricardo Vilalta, Anand Sivasubramaniam |
| 2002 | ICDM | Predicting Rare Events In Temporal Domains. | Ricardo Vilalta, Sheng Ma |
| 2002 | ICMLA | A Characterization of Difficult Problems in Classification. | Ricardo Vilalta, Youssef Drissi |
| 2000 | ICML | A Quantification of Distance Bias Between Evaluation Metrics In Classification. | Ricardo Vilalta, Daniel Oblinger |
| 1997 | ICML | Integrating Feature Construction with Multiple Classifiers in Decision Tree Induction. | Ricardo Vilalta, Larry A. Rendell |