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2020 – today
- 2024
[j32]Bernat Coma-Puig
, Albert Calvo, Josep Carmona, Ricard Gavaldà:
A case study of improving a non-technical losses detection system through explainability. Data Min. Knowl. Discov. 38(5): 2704-2732 (2024)- [c67]Ricard Gavaldà:
Machine Learning for Clinical Management: From the Lab to the Hospital. KDD 2024: 4736 - 2023
- [e10]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 A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
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. Communications in Computer and Information Science 1752, Springer 2023, ISBN 978-3-031-23617-4 [contents] - [e9]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 A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Diego Saldana Miranda, Konstantinos Sechidis, Arif Canakoglu, Sara Pidò, Pietro Pinoli, Albert Bifet, Sepideh Pashami:
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. Communications in Computer and Information Science 1753, Springer 2023, ISBN 978-3-031-23632-7 [contents] - 2022
- [j31]Xiao Zhang, Ricard Gavaldà, Jaume Baixeries:
Interpretable prediction of mortality in liver transplant recipients based on machine learning. Comput. Biol. Medicine 151(Part): 106188 (2022) - 2021
- [e8]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 A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
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. Communications in Computer and Information Science 1524, Springer 2021, ISBN 978-3-030-93735-5 [contents] - [e7]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 A. D. Cooper, Naghmeh Ghazaleh, Jonas Richiardi, Damian Roqueiro, Diego Saldana Miranda, Konstantinos Sechidis, Guilherme Graça:
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. Communications in Computer and Information Science 1525, Springer 2021, ISBN 978-3-030-93732-4 [contents] - 2020
- [e6]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:
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. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents]
2010 – 2019
- 2019
- [c66]Martí Zamora, Ricard Gavaldà:
Interpretable Patient Trajectories from Temporally Annotated Health Records. CBMS 2019: 547-550 - [c65]Rafael Mena Yedra, Jordi Casas, Ricard Gavaldà:
Probabilistic model for robust traffic state identification in urban networks. ITSC 2019: 1934-1940 - [e5]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:
ECML PKDD 2018 Workshops - Nemesis 2018, UrbReas 2018, SoGood 2018, IWAISe 2018, and Green Data Mining 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Lecture Notes in Computer Science 11329, Springer 2019, ISBN 978-3-030-13452-5 [contents] - [r1]Ricard Gavaldà:
Adaptive Windowing. Encyclopedia of Big Data Technologies 2019 - 2018
- [j30]María Gabriela Valdés, Iván Galván-Femenía, Vicent J. Ribas Ripoll, Xavier Duran, Jun Yokota, Ricard Gavaldà, Xavier Rafael-Palou, Rafael de Cid:
Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data. BMC Syst. Biol. 12(5): 55-74 (2018) - [j29]Matteo Ruffini, Marta Casanellas, Ricard Gavaldà:
A new method of moments for latent variable models. Mach. Learn. 107(8-10): 1431-1455 (2018) - [i8]Laura Aviñó, Matteo Ruffini, Ricard Gavaldà:
Generating Synthetic but Plausible Healthcare Record Datasets. CoRR abs/1807.01514 (2018) - 2017
- [j28]Gilles Blondel, Marta Arias, Ricard Gavaldà:
Identifiability and transportability in dynamic causal networks. Int. J. Data Sci. Anal. 3(2): 131-147 (2017) - [c64]Matteo Ruffini, Ricard Gavaldà, Esther Limon:
Clustering Patients with Tensor Decomposition. MLHC 2017: 126-146 - [e4]Ricard Gavaldà, Indre Zliobaite, João Gama:
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. CEUR Workshop Proceedings 1831, CEUR-WS.org 2017 [contents] - [i7]Matteo Ruffini, Ricard Gavaldà, Esther Limon:
Clustering Patients with Tensor Decomposition. CoRR abs/1708.08994 (2017) - 2016
- [c63]Bernat Coma-Puig, Josep Carmona, Ricard Gavaldà, Santiago Alcoverro, Victor Martin:
Fraud Detection in Energy Consumption: A Supervised Approach. DSAA 2016: 120-129 - [c62]Javier Fernández, Daniel Medina, Antonio Gómez, Marta Arias, Ricard Gavaldà:
From Training to Match Performance: A Predictive and Explanatory Study on Novel Tracking Data. ICDM Workshops 2016: 136-143 - [c61]Javier Fernández, Daniel Medina, Antonio Gómez, Marta Arias, Ricard Gavaldà:
Does Training Affect Match Performance? A Study Using Data Mining And Tracking Devices. MLSA@PKDD/ECML 2016 - [c60]Antonio Rodriguez, Frederic Bartumeus, Ricard Gavaldà:
Machine Learning Assists the Classification of Reports by Citizens on Disease-Carrying Mosquitoes. SoGood@ECML-PKDD 2016 - [i6]Gilles Blondel, Marta Arias, Ricard Gavaldà:
Identifiability and Transportability in Dynamic Causal Networks. CoRR abs/1610.05556 (2016) - 2015
- [j27]Massimo Quadrana, Albert Bifet, Ricard Gavaldà:
An efficient closed frequent itemset miner for the MOA stream mining system. AI Commun. 28(1): 143-158 (2015) - [c59]Martí Zamora, Manel Baradad, Ester Amado, Silvia Cordomi, Esther Limon, Juliana Ribera, Marta Arias, Ricard Gavaldà:
Characterizing chronic disease and polymedication prescription patterns from electronic health records. DSAA 2015: 1-9 - [e3]Albert Bifet, Michael May, Bianca Zadrozny, Ricard Gavaldà, Dino Pedreschi, Francesco Bonchi, Jaime S. Cardoso, Myra Spiliopoulou:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III. Lecture Notes in Computer Science 9286, Springer 2015, ISBN 978-3-319-23460-1 [contents] - 2014
- [j26]Nicolás Poggi, David Carrera, Ricard Gavaldà, Eduard Ayguadé, Jordi Torres:
A methodology for the evaluation of high response time on E-commerce users and sales. Inf. Syst. Frontiers 16(5): 867-885 (2014) - [j25]Borja Balle, Jorge Castro, Ricard Gavaldà:
Adaptively learning probabilistic deterministic automata from data streams. Mach. Learn. 96(1-2): 99-127 (2014) - [j24]Arkadev Chattopadhyay, Ricard Gavaldà, Kristoffer Arnsfelt Hansen, Denis Thérien:
Learning Read-Constant Polynomials of Constant Degree Modulo Composites. Theory Comput. Syst. 55(2): 404-420 (2014) - [c58]Josep Lluis Berral, Iñigo Goiri, Thu D. Nguyen, Ricard Gavaldà, Jordi Torres, Ricardo Bianchini:
Building Green Cloud Services at Low Cost. ICDCS 2014: 449-460 - 2013
- [j23]Borja Balle, Jorge Castro, Ricard Gavaldà:
Learning probabilistic automata: A study in state distinguishability. Theor. Comput. Sci. 473: 46-60 (2013) - [j22]Francesco Bonchi, Wray L. Buntine, Ricard Gavaldà, Shengbo Guo:
Introduction to the special issue on social web mining. ACM Trans. Intell. Syst. Technol. 5(1): 5:1-5:2 (2013) - [c57]Borja Balle, Bernardino Casas, Alex Catarineu, Ricard Gavaldà, David Manzano-Macho:
The Architecture of a Churn Prediction System Based on Stream Mining. CCIA 2013: 157-166 - [c56]Massimo Quadrana, Albert Bifet, Ricard Gavaldà:
An Efficient Closed Frequent Itemset Miner for the Moa Stream Mining System. CCIA 2013: 203-212 - [c55]Josep Lluis Berral, Ricard Gavaldà, Jordi Torres:
Power-Aware Multi-data Center Management Using Machine Learning. ICPP 2013: 858-867 - [c54]Josep Lluis Berral, Ricard Gavaldà, Jordi Torres:
Empowering automatic data-center management with machine learning. SAC 2013: 170-172 - 2012
- [j21]Iñigo Goiri, Josep Lluis Berral, Josep Oriol Fitó, Ferran Julià, Ramon Nou, Jordi Guitart, Ricard Gavaldà, Jordi Torres:
Energy-efficient and multifaceted resource management for profit-driven virtualized data centers. Future Gener. Comput. Syst. 28(5): 718-731 (2012) - [c53]Alberto Lumbreras, Ricard Gavaldà:
Applying Trust Metrics Based on User Interactions to Recommendation in Social Networks. ASONAM 2012: 1159-1164 - [c52]Josep Carmona, Ricard Gavaldà:
Online Techniques for Dealing with Concept Drift in Process Mining. IDA 2012: 90-102 - [c51]Borja Balle, Jorge Castro, Ricard Gavaldà:
Bootstrapping and Learning PDFA in Data Streams. ICGI 2012: 34-48 - 2011
- [j20]Albert Bifet, Ricard Gavaldà:
Mining frequent closed trees in evolving data streams. Intell. Data Anal. 15(1): 29-48 (2011) - [c50]Leonor Rib, Ricard Gavaldà, José Manuel Soria, Alfonso Buil:
SalaboMiner - A Biomedical Literature Mining Tool for Inferring the Genetics of Complex Diseases. BIOINFORMATICS 2011: 143-148 - [c49]Arkadev Chattopadhyay, Ricard Gavaldà, Kristoffer Arnsfelt Hansen, Denis Thérien:
Learning Read-Constant Polynomials of Constant Degree Modulo Composites. CSR 2011: 29-42 - [c48]Josep Lluis Berral, Ricard Gavaldà, Jordi Torres:
Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning. GRID 2011: 66-73 - [c47]Javier Alonso, Iñigo Goiri, Jordi Guitart, Ricard Gavaldà, Jordi Torres:
Optimal Resource Allocation in a Virtualized Software Aging Platform with Software Rejuvenation. ISSRE 2011: 250-259 - [c46]Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà:
Mining frequent closed graphs on evolving data streams. KDD 2011: 591-599 - [c45]Nicolás Poggi, David Carrera, Ricard Gavaldà, Eduard Ayguadé:
Non-intrusive Estimation of QoS Degradation Impact on E-Commerce User Satisfaction. NCA 2011: 179-186 - [c44]Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà:
Detecting Sentiment Change in Twitter Streaming Data. WAPA 2011: 5-11 - 2010
- [c43]Borja Balle, Jorge Castro, Ricard Gavaldà:
A Lower Bound for Learning Distributions Generated by Probabilistic Automata. ALT 2010: 179-193 - [c42]Javier Alonso, Jordi Torres, Josep Lluis Berral, Ricard Gavaldà:
Adaptive on-line software aging prediction based on machine learning. DSN 2010: 507-516 - [c41]Josep Lluis Berral, Iñigo Goiri, Ramon Nou, Ferran Julià, Jordi Guitart, Ricard Gavaldà, Jordi Torres:
Towards energy-aware scheduling in data centers using machine learning. e-Energy 2010: 215-224 - [c40]Borja Balle, Jorge Castro, Ricard Gavaldà:
Learning PDFA with Asynchronous Transitions. ICGI 2010: 271-275 - [c39]Nicolás Poggi, David Carrera, Ricard Gavaldà, Jordi Torres, Eduard Ayguadé:
Characterization of workload and resource consumption for an online travel and booking site. IISWC 2010: 1-10 - [c38]Javier Alonso, Jordi Torres, Josep Lluis Berral, Ricard Gavaldà:
J2EE instrumentation for software aging root cause application component determination with AspectJ. IPDPS Workshops 2010: 1-8 - [i5]Ricard Gavaldà, María López-Valdés, Elvira Mayordomo, N. V. Vinodchandran:
Resource-bounded Dimension in Computational Learning Theory. CoRR abs/1010.5470 (2010)
2000 – 2009
- 2009
- [j19]Nicolás Poggi, Toni Moreno, Josep Lluis Berral, Ricard Gavaldà, Jordi Torres:
Self-adaptive utility-based web session management. Comput. Networks 53(10): 1712-1721 (2009) - [j18]Ramon Ferrer-i-Cancho, Ricard Gavaldà:
The frequency spectrum of finite samples from the intermittent silence process. J. Assoc. Inf. Sci. Technol. 60(4): 837-843 (2009) - [c37]Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Ricard Gavaldà:
Improving Adaptive Bagging Methods for Evolving Data Streams. ACML 2009: 23-37 - [c36]Ricard Gavaldà, Denis Thérien:
An Algebraic Perspective on Boolean Function Learning. ALT 2009: 201-215 - [c35]Javier Alonso, Jordi Torres, Ricard Gavaldà:
Predicting Web Server Crashes: A Case Study in Comparing Prediction Algorithms. ICAS 2009: 264-269 - [c34]Albert Bifet, Ricard Gavaldà:
Adaptive Learning from Evolving Data Streams. IDA 2009: 249-260 - [c33]Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà:
New ensemble methods for evolving data streams. KDD 2009: 139-148 - [c32]Albert Bifet, Ricard Gavaldà:
Adaptive XML Tree Classification on Evolving Data Streams. ECML/PKDD (1) 2009: 147-162 - [e2]Ricard Gavaldà, Gábor Lugosi, Thomas Zeugmann, Sandra Zilles:
Algorithmic Learning Theory, 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009. Proceedings. Lecture Notes in Computer Science 5809, Springer 2009, ISBN 978-3-642-04413-7 [contents] - 2008
- [c31]Josep Lluis Berral, Nicolás Poggi, Javier Alonso, Ricard Gavaldà, Jordi Torres, Manish Parashar:
Adaptive distributed mechanism against flooding network attacks based on machine learning. AISec 2008: 43-50 - [c30]Jordi Torres, David Carrera, Vicenç Beltran, Nicolás Poggi, Kevin Hogan, Josep Lluis Berral, Ricard Gavaldà, Eduard Ayguadé, Toni Moreno, Jordi Guitart:
Tailoring Resources: The Energy Efficient Consolidation Strategy Goes Beyond Virtualization. ICAC 2008: 197-198 - [c29]Jorge Castro, Ricard Gavaldà:
Towards Feasible PAC-Learning of Probabilistic Deterministic Finite Automata. ICGI 2008: 163-174 - [c28]Jordi Torres, David Carrera, Kevin Hogan, Ricard Gavaldà, Vicenç Beltran, Nicolás Poggi:
Reducing wasted resources to help achieve green data centers. IPDPS 2008: 1-8 - [c27]Albert Bifet, Ricard Gavaldà:
Mining adaptively frequent closed unlabeled rooted trees in data streams. KDD 2008: 34-42 - 2007
- [c26]Albert Bifet, Ricard Gavaldà:
Learning from Time-Changing Data with Adaptive Windowing. SDM 2007: 443-448 - [c25]Nicolás Poggi, Toni Moreno, Josep Lluis Berral, Ricard Gavaldà, Jordi Torres:
Web Customer Modeling for Automated Session Prioritization on High Traffic Sites. User Modeling 2007: 450-454 - 2006
- [j17]Ricard Gavaldà, Pascal Tesson, Denis Thérien:
Learning expressions and programs over monoids. Inf. Comput. 204(2): 177-209 (2006) - [j16]Ricard Gavaldà, Eiji Takimoto:
Foreword. Theor. Comput. Sci. 364(1): 1-2 (2006) - [c24]Albert Bifet, Ricard Gavaldà:
Kalman Filters and Adaptive Windows for Learning in Data Streams. Discovery Science 2006: 29-40 - [c23]Ricard Gavaldà, Philipp W. Keller, Joelle Pineau, Doina Precup:
PAC-Learning of Markov Models with Hidden State. ECML 2006: 150-161 - 2005
- [c22]Ricard Gavaldà:
An Algebraic View on Exact Learning from Queries. CiE 2005: 150-151 - [c21]Víctor Dalmau, Ricard Gavaldà, Pascal Tesson, Denis Thérien:
Tractable Clones of Polynomials over Semigroups. CP 2005: 196-210 - [i4]Víctor Dalmau, Ricard Gavaldà, Pascal Tesson, Denis Thérien:
Tractable Clones of Polynomials over Semigroups. Electron. Colloquium Comput. Complex. TR05 (2005) - 2004
- [j15]Maria Luisa Bonet, Carlos Domingo, Ricard Gavaldà, Alexis Maciel, Toniann Pitassi:
Non-Automatizability of Bounded-Depth Frege Proofs. Comput. Complex. 13(1-2): 47-68 (2004) - 2003
- [c20]Ricard Gavaldà, Denis Thérien:
Algebraic Characterizations of Small Classes of Boolean Functions. STACS 2003: 331-342 - [e1]Ricard Gavaldà, Klaus P. Jantke, Eiji Takimoto:
Algorithmic Learning Theory, 14th International Conference, ALT 2003, Sapporo, Japan, October 17-19, 2003, Proceedings. Lecture Notes in Computer Science 2842, Springer 2003, ISBN 3-540-20291-9 [contents] - 2002
- [j14]Carlos Domingo, Ricard Gavaldà, Osamu Watanabe:
Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms. Data Min. Knowl. Discov. 6(2): 131-152 (2002) - 2001
- [j13]Albert Atserias, Nicola Galesi, Ricard Gavaldà:
Monotone Proofs of the Pigeon Hole Principle. Math. Log. Q. 47(4): 461-474 (2001) - [c19]Ricard Gavaldà, Osamu Watanabe:
Sequential Sampling Algorithms: Unified Analysis and Lower Bounds. SAGA 2001: 173-188 - [c18]Ricard Gavaldà, Denis Thérien:
Learning Expressions over Monoids. STACS 2001: 283-293 - 2000
- [c17]Albert Atserias, Nicola Galesi, Ricard Gavaldà:
Monotone Proofs of the Pigeon Hole Principle. ICALP 2000: 151-162 - [i3]Albert Atserias, Nicola Galesi, Ricard Gavaldà:
Monotone Proofs of the Pigeon Hole Principle. Electron. Colloquium Comput. Complex. TR00 (2000)
1990 – 1999
- 1999
- [j12]Ricardo A. Baeza-Yates, Ricard Gavaldà, Gonzalo Navarro, Rodrigo Scheihing:
Bounding the Expected Length of Longest Common Subsequences and Forests. Theory Comput. Syst. 32(4): 435-452 (1999) - [j11]Ricard Gavaldà, Hava T. Siegelmann:
Discontinuities in Recurrent Neural Networks. Neural Comput. 11(3): 715-745 (1999) - [c16]Maria Luisa Bonet, Carlos Domingo, Ricard Gavaldà, Alexis Maciel, Toniann Pitassi:
Non-Automatizability of Bounded-Depth Frege Proofs. CCC 1999: 15-23 - [c15]Carlos Domingo, Ricard Gavaldà, Osamu Watanabe:
Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms. Discovery Science 1999: 172-183 - 1998
- [c14]Carlos Domingo, Ricard Gavaldà, Osamu Watanabe:
Practical Algorithms for On-line Sampling. Discovery Science 1998: 150-161 - [i2]Carlos Domingo, Ricard Gavaldà, Osamu Watanabe:
Practical algorithms for on-line sampling. CoRR cs.LG/9809122 (1998) - 1997
- [j10]José L. Balcázar, Ricard Gavaldà, Hava T. Siegelmann:
Computational power of neural networks: a characterization in terms of Kolmogorov complexity. IEEE Trans. Inf. Theory 43(4): 1175-1183 (1997) - [c13]José L. Balcázar, Josep Díaz, Ricard Gavaldà:
Algorithms for Learning Finite Automata from Queries: A Unified View. Advances in Algorithms, Languages, and Complexity 1997: 53-72 - [c12]José L. Balcázar, Ricard Gavaldà, Osamu Watanabe:
Coding Complexity: The Computational Complexity of Succinct Descriptions. Advances in Algorithms, Languages, and Complexity 1997: 73-91 - 1996
- [j9]Nader H. Bshouty, Richard Cleve, Ricard Gavaldà, Sampath Kannan, Christino Tamon:
Oracles and Queries That Are Sufficient for Exact Learning. J. Comput. Syst. Sci. 52(3): 421-433 (1996) - [j8]José L. Balcázar, Josep Díaz, Ricard Gavaldà, Osamu Watanabe:
An Optimal Parallel Algorithm for Learning DFA. J. Univers. Comput. Sci. 2(3): 97-112 (1996) - 1995
- [j7]Ricard Gavaldà:
Bounding the Complexity of Advice Functions. J. Comput. Syst. Sci. 50(3): 468-475 (1995) - [c11]Ricard Gavaldà, David Guijarro:
Learning Ordered Binary Decision Diagrams. ALT 1995: 228-238 - [i1]Nader H. Bshouty, Richard Cleve, Ricard Gavaldà, Sampath Kannan, Christino Tamon:
Oracles and Queries That Are Sufficient for Exact Learning. Electron. Colloquium Comput. Complex. TR95 (1995) - 1994
- [j6]Joaquim Gabarró, Ricard Gavaldà:
An Approach to Correctness of Data Parallel Algorithms. J. Parallel Distributed Comput. 22(2): 185-201 (1994) - [j5]Osamu Watanabe, Ricard Gavaldà:
Structural Analysis of Polynomial-Time Query Learnability. Math. Syst. Theory 27(3): 231-256 (1994) - [j4]José L. Balcázar, Josep Díaz, Ricard Gavaldà, Osamu Watanabe:
The Query Complexity of Learning DFA. New Gener. Comput. 12(4): 337-358 (1994) - [c10]