Ricard Gavaldà

120 papers A* 6A 9B 19C 2Misc 2Journal 40Unranked 32

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	A case study of improving a non-technical losses detection system through explainability. Data Min. Knowl. Discov. Bernat Coma-Puig, Albert Calvo, Josep Carmona, Ricard Gavaldà
2024	A*	`conf`	Machine Learning for Clinical Management: From the Lab to the Hospital. KDD Ricard Gavaldà
2023	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I PKDD/ECML Workshops (1) Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2023	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part II PKDD/ECML Workshops (2) Irena Koprinska, Paolo Mignone, Riccardo Guidotti, Szymon Jaroszewicz, Holger Fröning, Francesco Gullo, Pedro M. Ferreira, Damian Roqueiro, Gaia Ceddia, Slawomir Nowaczyk, João Gama, Rita P. Ribeiro, Ricard Gavaldà, Elio Masciari, Zbigniew W. Ras, Ettore Ritacco, Francesca Naretto, Andreas Theissler, Przemyslaw Biecek, Wouter Verbeke, Gregor Schiele, Franz Pernkopf, Michaela Blott, Ilaria Bordino, Ivan Luciano Danesi, Giovanni Ponti, Lorenzo Severini, Annalisa Appice, Giuseppina Andresini, Ibéria Medeiros, Guilherme Graça, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami
2022	J	`jnl`	Interpretable prediction of mortality in liver transplant recipients based on machine learning. Comput. Biol. Medicine Xiao Zhang, Ricard Gavaldà, Jaume Baixeries
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part I PKDD/ECML Workshops (1) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2021	—	`ed.`	Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II PKDD/ECML Workshops (2) Michael Kamp, Irena Koprinska, Adrien Bibal, Tassadit Bouadi, Benoît Frénay, Luis Galárraga, José Oramas, Linara Adilova, Yamuna Krishnamurthy, Bo Kang, Christine Largeron, Jefrey Lijffijt, Tiphaine Viard, Pascal Welke, Massimiliano Ruocco, Erlend Aune, Claudio Gallicchio, Gregor Schiele, Franz Pernkopf, Michaela Blott, Holger Fröning, Günther Schindler, Riccardo Guidotti, Anna Monreale, Salvatore Rinzivillo, Przemyslaw Biecek, Eirini Ntoutsi, Mykola Pechenizkiy, Bodo Rosenhahn, Christopher L. Buckley, Daniela Cialfi, Pablo Lanillos, Maxwell Ramstead, Tim Verbelen, Pedro M. Ferreira, Giuseppina Andresini, Donato Malerba, Ibéria Medeiros, Philippe Fournier-Viger, M. Saqib Nawaz, Sebastián Ventura, Meng Sun, Min Zhou, Valerio Bitetta, Ilaria Bordino, Andrea Ferretti, Francesco Gullo, Giovanni Ponti, Lorenzo Severini, Rita P. Ribeiro, João Gama, Ricard Gavaldà, Lee Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça
2020	—	`ed.`	ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings PKDD/ECML Workshops Irena Koprinska, Michael Kamp, Annalisa Appice, Corrado Loglisci, Luiza Antonie, Albrecht Zimmermann, Riccardo Guidotti, Özlem Özgöbek, Rita P. Ribeiro, Ricard Gavaldà, João Gama, Linara Adilova, Yamuna Krishnamurthy, Pedro M. Ferreira, Donato Malerba, Ibéria Medeiros, Michelangelo Ceci, Giuseppe Manco, Elio Masciari, Zbigniew W. Ras, Peter Christen, Eirini Ntoutsi, Erich Schubert, Arthur Zimek, Anna Monreale, Przemyslaw Biecek, Salvatore Rinzivillo, Benjamin Kille, Andreas Lommatzsch, Jon Atle Gulla
2019	—	`ch.`	Adaptive Windowing. Encyclopedia of Big Data Technologies Ricard Gavaldà
2019	—	`ed.`	ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Carlos Alzate, Anna Monreale, Haytham Assem, Albert Bifet, Teodora Sandra Buda, Bora Caglayan, Brett Drury, Eva García-Martín, Ricard Gavaldà, Stefan Kramer, Niklas Lavesson, Michael Madden, Ian M. Molloy, Maria-Irina Nicolae, Mathieu Sinn
2019	B	`conf`	Interpretable Patient Trajectories from Temporally Annotated Health Records. CBMS Martí Zamora, Ricard Gavaldà
2019	—	`conf`	Probabilistic model for robust traffic state identification in urban networks. ITSC Rafael Mena Yedra, Jordi Casas, Ricard Gavaldà
2018	J	`jnl`	A new method of moments for latent variable models. Mach. Learn. Matteo Ruffini, Marta Casanellas, Ricard Gavaldà
2018	J	`jnl`	Generating Synthetic but Plausible Healthcare Record Datasets. CoRR Laura Aviñó, Matteo Ruffini, Ricard Gavaldà
2018	J	`jnl`	Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data. BMC Syst. Biol. María Gabriela Valdés, Iván Galván-Femenía, Vicent J. Ribas Ripoll, Xavier Duran, Jun Yokota, Ricard Gavaldà, Xavier Rafael-Palou, Rafael de Cid
2017	—	`conf`	Clustering Patients with Tensor Decomposition. MLHC Matteo Ruffini, Ricard Gavaldà, Esther Limon
2017	J	`jnl`	Clustering Patients with Tensor Decomposition. CoRR Matteo Ruffini, Ricard Gavaldà, Esther Limon
2017	J	`jnl`	Identifiability and transportability in dynamic causal networks. Int. J. Data Sci. Anal. Gilles Blondel, Marta Arias, Ricard Gavaldà
2017	—	`ed.`	Proceedings of the First Workshop on Data Science for Social Good co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Dicovery in Databases, SoGood@ECML-PKDD 2016, Riva del Garda, Italy, September 19, 2016. SoGood@ECML-PKDD Ricard Gavaldà, Indre Zliobaite, João Gama
2016	—	`conf`	Does Training Affect Match Performance? A Study Using Data Mining And Tracking Devices. MLSA@PKDD/ECML Javier Fernández, Daniel Medina, Antonio Gómez, Marta Arias, Ricard Gavaldà
2016	B	`conf`	Fraud Detection in Energy Consumption: A Supervised Approach. DSAA Bernat Coma-Puig, Josep Carmona, Ricard Gavaldà, Santiago Alcoverro, Victor Martin
2016	—	`conf`	From Training to Match Performance: A Predictive and Explanatory Study on Novel Tracking Data. ICDM Workshops Javier Fernández, Daniel Medina, Antonio Gómez, Marta Arias, Ricard Gavaldà
2016	J	`jnl`	Identifiability and Transportability in Dynamic Causal Networks. CoRR Gilles Blondel, Marta Arias, Ricard Gavaldà
2016	—	`conf`	Machine Learning Assists the Classification of Reports by Citizens on Disease-Carrying Mosquitoes. SoGood@ECML-PKDD Antonio Rodriguez, Frederic Bartumeus, Ricard Gavaldà
2015	J	`jnl`	An efficient closed frequent itemset miner for the MOA stream mining system. AI Commun. Massimo Quadrana, Albert Bifet, Ricard Gavaldà
2015	B	`conf`	Characterizing chronic disease and polymedication prescription patterns from electronic health records. DSAA Martí Zamora, Manel Baradad, Ester Amado, Silvia Cordomi, Esther Limon, Juliana Ribera, Marta Arias, Ricard Gavaldà
2015	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III ECML/PKDD (3) Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavaldà, Dino Pedreschi, Francesco Bonchi, Jaime S. Cardoso, Myra Spiliopoulou
2014	J	`jnl`	A methodology for the evaluation of high response time on E-commerce users and sales. Inf. Syst. Frontiers Nicolás Poggi, David Carrera, Ricard Gavaldà, Eduard Ayguadé, Jordi Torres
2014	J	`jnl`	Adaptively learning probabilistic deterministic automata from data streams. Mach. Learn. Borja Balle, Jorge Castro, Ricard Gavaldà
2014	A	`conf`	Building Green Cloud Services at Low Cost. ICDCS Josep Lluis Berral, Iñigo Goiri, Thu D. Nguyen, Ricard Gavaldà, Jordi Torres, Ricardo Bianchini
2014	J	`jnl`	Learning Read-Constant Polynomials of Constant Degree Modulo Composites. Theory Comput. Syst. Arkadev Chattopadhyay, Ricard Gavaldà, Kristoffer Arnsfelt Hansen, Denis Thérien
2013	—	`conf`	An Efficient Closed Frequent Itemset Miner for the Moa Stream Mining System. CCIA Massimo Quadrana, Albert Bifet, Ricard Gavaldà
2013	Misc	`conf`	Empowering automatic data-center management with machine learning. SAC Josep Lluis Berral, Ricard Gavaldà, Jordi Torres
2013	J	`jnl`	Introduction to the special issue on social web mining. ACM Trans. Intell. Syst. Technol. Francesco Bonchi, Wray L. Buntine, Ricard Gavaldà, Shengbo Guo
2013	J	`jnl`	Learning probabilistic automata: A study in state distinguishability. Theor. Comput. Sci. Borja Balle, Jorge Castro, Ricard Gavaldà
2013	B	`conf`	Power-Aware Multi-data Center Management Using Machine Learning. ICPP Josep Lluis Berral, Ricard Gavaldà, Jordi Torres
2013	—	`conf`	The Architecture of a Churn Prediction System Based on Stream Mining. CCIA Borja Balle, Bernardino Casas, Alex Catarineu, Ricard Gavaldà, David Manzano-Macho
2012	B	`conf`	Applying Trust Metrics Based on User Interactions to Recommendation in Social Networks. ASONAM Alberto Lumbreras, Ricard Gavaldà
2012	—	`conf`	Bootstrapping and Learning PDFA in Data Streams. ICGI Borja Balle, Jorge Castro, Ricard Gavaldà
2012	J	`jnl`	Energy-efficient and multifaceted resource management for profit-driven virtualized data centers. Future Gener. Comput. Syst. Iñigo Goiri, Josep Lluis Berral, Josep Oriol Fitó, Ferran Julià, Ramon Nou, Jordi Guitart, Ricard Gavaldà, Jordi Torres
2012	B	`conf`	Online Techniques for Dealing with Concept Drift in Process Mining. IDA Josep Carmona, Ricard Gavaldà
2011	—	`conf`	Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning. GRID Josep Lluis Berral, Ricard Gavaldà, Jordi Torres
2011	—	`conf`	Detecting Sentiment Change in Twitter Streaming Data. WAPA Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà
2011	Misc	`conf`	Learning Read-Constant Polynomials of Constant Degree Modulo Composites. CSR Arkadev Chattopadhyay, Ricard Gavaldà, Kristoffer Arnsfelt Hansen, Denis Thérien
2011	A*	`conf`	Mining frequent closed graphs on evolving data streams. KDD Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà
2011	J	`jnl`	Mining frequent closed trees in evolving data streams. Intell. Data Anal. Albert Bifet, Ricard Gavaldà
2011	B	`conf`	Non-intrusive Estimation of QoS Degradation Impact on E-Commerce User Satisfaction. NCA Nicolás Poggi, David Carrera, Ricard Gavaldà, Eduard Ayguadé
2011	A	`conf`	Optimal Resource Allocation in a Virtualized Software Aging Platform with Software Rejuvenation. ISSRE Javier Alonso, Iñigo Goiri, Jordi Guitart, Ricard Gavaldà, Jordi Torres
2011	—	`conf`	SalaboMiner - A Biomedical Literature Mining Tool for Inferring the Genetics of Complex Diseases. BIOINFORMATICS Leonor Rib, Ricard Gavaldà, José Manuel Soria, Alfonso Buil
2010	B	`conf`	A Lower Bound for Learning Distributions Generated by Probabilistic Automata. ALT Borja Balle, Jorge Castro, Ricard Gavaldà
2010	A	`conf`	Adaptive on-line software aging prediction based on machine learning. DSN Javier Alonso, Jordi Torres, Josep Lluis Berral, Ricard Gavaldà
2010	—	`conf`	Characterization of workload and resource consumption for an online travel and booking site. IISWC Nicolás Poggi, David Carrera, Ricard Gavaldà, Jordi Torres, Eduard Ayguadé
2010	—	`conf`	J2EE instrumentation for software aging root cause application component determination with AspectJ. IPDPS Workshops Javier Alonso, Jordi Torres, Josep Lluis Berral, Ricard Gavaldà
2010	—	`conf`	Learning PDFA with Asynchronous Transitions. ICGI Borja Balle, Jorge Castro, Ricard Gavaldà
2010	J	`jnl`	Resource-bounded Dimension in Computational Learning Theory CoRR Ricard Gavaldà, María López-Valdés, Elvira Mayordomo, N. V. Vinodchandran
2010	—	`conf`	Towards energy-aware scheduling in data centers using machine learning. e-Energy Josep Lluis Berral, Iñigo Goiri, Ramon Nou, Ferran Julià, Jordi Guitart, Ricard Gavaldà, Jordi Torres
2009	B	`conf`	Adaptive Learning from Evolving Data Streams. IDA Albert Bifet, Ricard Gavaldà
2009	—	`conf`	Adaptive XML Tree Classification on Evolving Data Streams. ECML/PKDD (1) Albert Bifet, Ricard Gavaldà
2009	—	`conf`	Adaptive XML Tree Mining on Evolving Data Streams. MLG/SRL@ILP Albert Bifet, Ricard Gavaldà
2009	B	`ed.`	Algorithmic Learning Theory, 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009. Proceedings ALT Ricard Gavaldà, Gábor Lugosi, Thomas Zeugmann, Sandra Zilles
2009	B	`conf`	An Algebraic Perspective on Boolean Function Learning. ALT Ricard Gavaldà, Denis Thérien
2009	C	`conf`	Improving Adaptive Bagging Methods for Evolving Data Streams. ACML Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà
2009	A*	`conf`	New ensemble methods for evolving data streams. KDD Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà
2009	—	`conf`	Predicting Web Server Crashes: A Case Study in Comparing Prediction Algorithms. ICAS Javier Alonso, Jordi Torres, Ricard Gavaldà
2009	J	`jnl`	Self-adaptive utility-based web session management. Comput. Networks Nicolás Poggi, Toni Moreno, Josep Lluis Berral, Ricard Gavaldà, Jordi Torres
2009	J	`jnl`	The frequency spectrum of finite samples from the intermittent silence process. J. Assoc. Inf. Sci. Technol. Ramon Ferrer-i-Cancho, Ricard Gavaldà
2008	—	`conf`	Adaptive distributed mechanism against flooding network attacks based on machine learning. AISec Josep Lluis Berral, Nicolás Poggi, Javier Alonso, Ricard Gavaldà, Jordi Torres, Manish Parashar
2008	A*	`conf`	Mining adaptively frequent closed unlabeled rooted trees in data streams. KDD Albert Bifet, Ricard Gavaldà
2008	A	`conf`	Reducing wasted resources to help achieve green data centers. IPDPS Jordi Torres, David Carrera, Kevin Hogan, Ricard Gavaldà, Vicenç Beltran, Nicolás Poggi
2008	—	`conf`	Tailoring Resources: The Energy Efficient Consolidation Strategy Goes Beyond Virtualization. ICAC Jordi Torres, David Carrera, Vicenç Beltran, Nicolás Poggi, Kevin Hogan, Josep Lluis Berral, Ricard Gavaldà, Eduard Ayguadé, Toni Moreno, Jordi Guitart
2008	—	`conf`	Towards Feasible PAC-Learning of Probabilistic Deterministic Finite Automata. ICGI Jorge Castro, Ricard Gavaldà
2007	A	`conf`	Learning from Time-Changing Data with Adaptive Windowing. SDM Albert Bifet, Ricard Gavaldà
2007	—	`conf`	Web Customer Modeling for Automated Session Prioritization on High Traffic Sites. User Modeling Nicolás Poggi, Toni Moreno, Josep Lluis Berral, Ricard Gavaldà, Jordi Torres
2006	J	`jnl`	Foreword. Theor. Comput. Sci. Ricard Gavaldà, Eiji Takimoto
2006	B	`conf`	Kalman Filters and Adaptive Windows for Learning in Data Streams. Discovery Science Albert Bifet, Ricard Gavaldà
2006	J	`jnl`	Learning expressions and programs over monoids. Inf. Comput. Ricard Gavaldà, Pascal Tesson, Denis Thérien
2006	—	`conf`	PAC-Learning of Markov Models with Hidden State. ECML Ricard Gavaldà, Philipp W. Keller, Joelle Pineau, Doina Precup
2005	C	`conf`	An Algebraic View on Exact Learning from Queries. CiE Ricard Gavaldà
2005	J	`jnl`	Tractable Clones of Polynomials over Semigroups Electron. Colloquium Comput. Complex. Víctor Dalmau, Ricard Gavaldà, Pascal Tesson, Denis Thérien
2005	A	`conf`	Tractable Clones of Polynomials over Semigroups. CP Víctor Dalmau, Ricard Gavaldà, Pascal Tesson, Denis Thérien
2004	J	`jnl`	Non-Automatizability of Bounded-Depth Frege Proofs. Comput. Complex. Maria Luisa Bonet, Carlos Domingo, Ricard Gavaldà, Alexis Maciel, Toniann Pitassi
2003	A	`conf`	Algebraic Characterizations of Small Classes of Boolean Functions. STACS Ricard Gavaldà, Denis Thérien
2003	B	`ed.`	Algorithmic Learning Theory, 14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003, Proceedings ALT Ricard Gavaldà, Klaus P. Jantke, Eiji Takimoto
2002	J	`jnl`	Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms. Data Min. Knowl. Discov. Carlos Domingo, Ricard Gavaldà, Osamu Watanabe
2001	A	`conf`	Learning Expressions over Monoids. STACS Ricard Gavaldà, Denis Thérien
2001	J	`jnl`	Monotone Proofs of the Pigeon Hole Principle. Math. Log. Q. Albert Atserias, Nicola Galesi, Ricard Gavaldà
2001	—	`conf`	Sequential Sampling Algorithms: Unified Analysis and Lower Bounds. SAGA Ricard Gavaldà, Osamu Watanabe
2000	J	`jnl`	Monotone Proofs of the Pigeon Hole Principle Electron. Colloquium Comput. Complex. Albert Atserias, Nicola Galesi, Ricard Gavaldà
2000	A*	`conf`	Monotone Proofs of the Pigeon Hole Principle. ICALP Albert Atserias, Nicola Galesi, Ricard Gavaldà
1999	B	`conf`	Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms. Discovery Science Carlos Domingo, Ricard Gavaldà, Osamu Watanabe
1999	J	`jnl`	Bounding the Expected Length of Longest Common Subsequences and Forests. Theory Comput. Syst. Ricardo A. Baeza-Yates, Ricard Gavaldà, Gonzalo Navarro, Rodrigo Scheihing
1999	J	`jnl`	Discontinuities in Recurrent Neural Networks. Neural Comput. Ricard Gavaldà, Hava T. Siegelmann
1999	A	`conf`	Non-Automatizability of Bounded-Depth Frege Proofs. CCC Maria Luisa Bonet, Carlos Domingo, Ricard Gavaldà, Alexis Maciel, Toniann Pitassi
1998	B	`conf`	Practical Algorithms for On-line Sampling. Discovery Science Carlos Domingo, Ricard Gavaldà, Osamu Watanabe
1998	J	`jnl`	Practical algorithms for on-line sampling CoRR Carlos Domingo, Ricard Gavaldà, Osamu Watanabe
1997	—	`conf`	Algorithms for Learning Finite Automata from Queries: A Unified View. Advances in Algorithms, Languages, and Complexity José L. Balcázar, Josep Díaz, Ricard Gavaldà
1997	—	`conf`	Coding Complexity: The Computational Complexity of Succinct Descriptions. Advances in Algorithms, Languages, and Complexity José L. Balcázar, Ricard Gavaldà, Osamu Watanabe
1997	J	`jnl`	Computational power of neural networks: a characterization in terms of Kolmogorov complexity. IEEE Trans. Inf. Theory José L. Balcázar, Ricard Gavaldà, Hava T. Siegelmann
1996	J	`jnl`	An Optimal Parallel Algorithm for Learning DFA. J. Univers. Comput. Sci. José L. Balcázar, Josep Díaz, Ricard Gavaldà, Osamu Watanabe
1996	J	`jnl`	Oracles and Queries That Are Sufficient for Exact Learning. J. Comput. Syst. Sci. Nader H. Bshouty, Richard Cleve, Ricard Gavaldà, Sampath Kannan, Christino Tamon
1995	J	`jnl`	Bounding the Complexity of Advice Functions. J. Comput. Syst. Sci. Ricard Gavaldà
1995	B	`conf`	Learning Ordered Binary Decision Diagrams. ALT Ricard Gavaldà, David Guijarro
1995	J	`jnl`	Oracles and Queries That Are Sufficient for Exact Learning Electron. Colloquium Comput. Complex. Nader H. Bshouty, Richard Cleve, Ricard Gavaldà, Sampath Kannan, Christino Tamon
1994	J	`jnl`	An Approach to Correctness of Data Parallel Algorithms. J. Parallel Distributed Comput. Joaquim Gabarró, Ricard Gavaldà
1994	A*	`conf`	An Optimal Parallel Algorithm for Learning DFA. COLT José L. Balcázar, Josep Díaz, Ricard Gavaldà, Osamu Watanabe
1994	J	`jnl`	Structural Analysis of Polynomial-Time Query Learnability. Math. Syst. Theory Osamu Watanabe, Ricard Gavaldà
1994	—	`conf`	The Complexity of Learning with Queries. SCT Ricard Gavaldà
1994	J	`jnl`	The Query Complexity of Learning DFA. New Gener. Comput. José L. Balcázar, Josep Díaz, Ricard Gavaldà, Osamu Watanabe
1993	J	`jnl`	A Positive Relativization of Polynomial Time Versus Polylog Space. Inf. Process. Lett. Ricard Gavaldà
1993	J	`jnl`	On the Computational Complexity of Small Descriptions. SIAM J. Comput. Ricard Gavaldà, Osamu Watanabe
1993	—	`conf`	On the power of equivalence queries. EuroCOLT Ricard Gavaldà
1993	—	`conf`	Some Structural Complexity Aspects of Neural Computation. SCT José L. Balcázar, Ricard Gavaldà, Hava T. Siegelmann, Eduardo D. Sontag
1992	B	`conf`	A Note on the Query Complexity of Learning DFA (Extended Abstract). ALT José L. Balcázar, Josep Díaz, Ricard Gavaldà, Osamu Watanabe
1992	—	`conf`	Bounding the Complexity of Advice Functions. SCT Ricard Gavaldà
1992	—	`conf`	Correctness of flat data parallel algorithms: an axiomatic approach and examples. PARLE Joaquim Gabarró, Ricard Gavaldà
1992	—	`—`	Kolmogorov randomness and its applications to structural complexity theory. Ricard Gavaldà
1991	—	`conf`	On the Computational Complexity of Small Descriptions. SCT Ricard Gavaldà, Osamu Watanabe
1991	J	`jnl`	Strong and Robustly Strong Polynomial-Time Reducibilities to Sparse Sets. Theor. Comput. Sci. Ricard Gavaldà, José L. Balcázar
1990	B	`conf`	Generalized Kolmogorov Complexity in Relativized Separations (Extended Abstract). MFCS Ricard Gavaldà, Leen Torenvliet, Osamu Watanabe, José L. Balcázar
1988	B	`conf`	Strong and Robustly Strong Polynomial Time Reducibilities to Sparse Sets. MFCS Ricard Gavaldà, José L. Balcázar