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2020 – today
- 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.(059) (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. 7(8) (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. Computational Complexity Conference 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. 2(15) (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]Ricard Gavaldà:
The Complexity of Learning with Queries. Computational Complexity Conference 1994: 324-337 - [c9]José L. Balcázar, Josep Díaz, Ricard Gavaldà
, Osamu Watanabe:
An Optimal Parallel Algorithm for Learning DFA. COLT 1994: 208-217 - 1993
- [j3]Ricard Gavaldà
:
A Positive Relativization of Polynomial Time Versus Polylog Space. Inf. Process. Lett. 46(3): 119-123 (1993) - [j2]Ricard Gavaldà
, Osamu Watanabe:
On the Computational Complexity of Small Descriptions. SIAM J. Comput. 22(6): 1257-1275 (1993) - [c8]José L. Balcázar, Ricard Gavaldà, Hava T. Siegelmann, Eduardo D. Sontag:
Some Structural Complexity Aspects of Neural Computation. Computational Complexity Conference 1993: 253-265 - [c7]Ricard Gavaldà:
On the power of equivalence queries. EuroCOLT 1993: 193-203 - 1992
- [b1]Ricard Gavaldà:
Kolmogorov randomness and its applications to structural complexity theory. University Barcelona, 1992, pp. I-V, 1-91 - [c6]José L. Balcázar, Josep Díaz, Ricard Gavaldà
, Osamu Watanabe:
A Note on the Query Complexity of Learning DFA (Extended Abstract). ALT 1992: 53-62 - [c5]Ricard Gavaldà:
Bounding the Complexity of Advice Functions. Computational Complexity Conference 1992: 249-254 - [c4]Joaquim Gabarró, Ricard Gavaldà
:
Correctness of flat data parallel algorithms: an axiomatic approach and examples. PARLE 1992: 955-956 - 1991
- [j1]Ricard Gavaldà
, José L. Balcázar:
Strong and Robustly Strong Polynomial-Time Reducibilities to Sparse Sets. Theor. Comput. Sci. 88(1): 1-14 (1991) - [c3]