Generalized Kolmogorov Complexity in Relativized Separations (Extended Abstract). - Ricard Gavaldà; Leen Torenvliet; Osamu Watanabe 001; José L. Balcázar (MFCS, 1990)

Strong and Robustly Strong Polynomial-Time Reducibilities to Sparse Sets. - Ricard Gavaldà; José L. Balcázar (Theor. Comput. Sci., 1991)

Kolmogorov randomness and its applications to structural complexity theory. - Ricard Gavaldà (1992)

A Note on the Query Complexity of Learning DFA (Extended Abstract). - José L. Balcázar; Josep Díaz; Ricard Gavaldà; Osamu Watanabe 001 (ALT, 1992)

Correctness of flat data parallel algorithms: an axiomatic approach and examples. - Joaquim Gabarró; Ricard Gavaldà (PARLE, 1992)

Some Structural Complexity Aspects of Neural Computation. - José L. Balcázar; Ricard Gavaldà; Hava T. Siegelmann; Eduardo D. Sontag (SCT, 1993)

On the power of equivalence queries. - Ricard Gavaldà (EuroCOLT, 1993)

A Positive Relativization of Polynomial Time Versus Polylog Space. - Ricard Gavaldà (Inf. Process. Lett., 1993)

On the Computational Complexity of Small Descriptions. - Ricard Gavaldà; Osamu Watanabe 001 (SIAM J. Comput., 1993)

The Complexity of Learning with Queries. - Ricard Gavaldà (SCT, 1994)

An Approach to Correctness of Data Parallel Algorithms. - Joaquim Gabarró; Ricard Gavaldà (J. Parallel Distributed Comput., 1994)

Structural Analysis of Polynomial-Time Query Learnability. - Osamu Watanabe 001; Ricard Gavaldà (Math. Syst. Theory, 1994)

The Query Complexity of Learning DFA. - José L. Balcázar; Josep Díaz; Ricard Gavaldà; Osamu Watanabe 001 (New Gener. Comput., 1994)

Learning Ordered Binary Decision Diagrams. - Ricard Gavaldà; David Guijarro (ALT, 1995)

Bounding the Complexity of Advice Functions. - Ricard Gavaldà (J. Comput. Syst. Sci., 1995)

Oracles and Queries That Are Sufficient for Exact Learning. - Nader H. Bshouty; Richard Cleve; Ricard Gavaldà; Sampath Kannan; Christino Tamon (J. Comput. Syst. Sci., 1996)

An Optimal Parallel Algorithm for Learning DFA. - José L. Balcázar; Josep Díaz; Ricard Gavaldà; Osamu Watanabe 001 (J. Univers. Comput. Sci., 1996)

Algorithms for Learning Finite Automata from Queries: A Unified View. - José L. Balcázar; Josep Díaz; Ricard Gavaldà (Advances in Algorithms, Languages, and Complexity, 1997)

Coding Complexity: The Computational Complexity of Succinct Descriptions. - José L. Balcázar; Ricard Gavaldà; Osamu Watanabe 001 (Advances in Algorithms, Languages, and Complexity, 1997)

Computational power of neural networks: a characterization in terms of Kolmogorov complexity. - José L. Balcázar; Ricard Gavaldà; Hava T. Siegelmann (IEEE Trans. Inf. Theory, 1997)

Practical Algorithms for On-line Sampling. - Carlos Domingo; Ricard Gavaldà; Osamu Watanabe 001 (Discovery Science, 1998)

Bounding the Expected Length of Longest Common Subsequences and Forests. - Ricardo A. Baeza-Yates; Ricard Gavaldà; Gonzalo Navarro 001; Rodrigo Scheihing (Theory Comput. Syst., 1999)

Discontinuities in Recurrent Neural Networks. - Ricard Gavaldà; Hava T. Siegelmann (Neural Comput., 1999)

Monotone Proofs of the Pigeon Hole Principle - Albert Atserias; Nicola Galesi; Ricard Gavaldà (Electron. Colloquium Comput. Complex., 2000)

Sequential Sampling Algorithms: Unified Analysis and Lower Bounds. - Ricard Gavaldà; Osamu Watanabe 001 (SAGA, 2001)

Learning Expressions over Monoids. - Ricard Gavaldà; Denis Thérien (STACS, 2001)

Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms. - Carlos Domingo; Ricard Gavaldà; Osamu Watanabe 001 (Data Min. Knowl. Discov., 2002)

Algebraic Characterizations of Small Classes of Boolean Functions. - Ricard Gavaldà; Denis Thérien (STACS, 2003)

Non-Automatizability of Bounded-Depth Frege Proofs. - Maria Luisa Bonet; Carlos Domingo; Ricard Gavaldà; Alexis Maciel; Toniann Pitassi (Comput. Complex., 2004)

An Algebraic View on Exact Learning from Queries. - Ricard Gavaldà (CiE, 2005)

Tractable Clones of Polynomials over Semigroups - Víctor Dalmau; Ricard Gavaldà; Pascal Tesson; Denis Thérien (Electron. Colloquium Comput. Complex., 2005)

Kalman Filters and Adaptive Windows for Learning in Data Streams. - Albert Bifet; Ricard Gavaldà (Discovery Science, 2006)

PAC-Learning of Markov Models with Hidden State. - Ricard Gavaldà; Philipp W. Keller; Joelle Pineau; Doina Precup (ECML, 2006)

Learning expressions and programs over monoids. - Ricard Gavaldà; Pascal Tesson; Denis Thérien (Inf. Comput., 2006)

Foreword. - Ricard Gavaldà; Eiji Takimoto (Theor. Comput. Sci., 2006)

Learning from Time-Changing Data with Adaptive Windowing. - Albert Bifet; Ricard Gavaldà (SDM, 2007)

Web Customer Modeling for Automated Session Prioritization on High Traffic Sites. - Nicolás Poggi; Toni Moreno; Josep Lluis Berral; Ricard Gavaldà; Jordi Torres (User Modeling, 2007)

Adaptive distributed mechanism against flooding network attacks based on machine learning. - Josep Lluis Berral; Nicolás Poggi; Javier Alonso 001; Ricard Gavaldà; Jordi Torres; Manish Parashar (AISec, 2008)

Tailoring Resources: The Energy Efficient Consolidation Strategy Goes Beyond Virtualization. - Jordi Torres; David Carrera 001; Vicenç Beltran 001; Nicolás Poggi; Kevin Hogan; Josep Lluis Berral; Ricard Gavaldà; Eduard Ayguadé; Toni Moreno; Jordi Guitart (ICAC, 2008)

Towards Feasible PAC-Learning of Probabilistic Deterministic Finite Automata. - Jorge Castro; Ricard Gavaldà (ICGI, 2008)

Reducing wasted resources to help achieve green data centers. - Jordi Torres; David Carrera 001; Kevin Hogan; Ricard Gavaldà; Vicenç Beltran 001; Nicolás Poggi (IPDPS, 2008)

Mining adaptively frequent closed unlabeled rooted trees in data streams. - Albert Bifet; Ricard Gavaldà (KDD, 2008)

Improving Adaptive Bagging Methods for Evolving Data Streams. - Albert Bifet; Geoffrey Holmes 001; Bernhard Pfahringer; Ricard Gavaldà (ACML, 2009)

An Algebraic Perspective on Boolean Function Learning. - Ricard Gavaldà; Denis Thérien (ALT, 2009)

Predicting Web Server Crashes: A Case Study in Comparing Prediction Algorithms. - Javier Alonso 001; Jordi Torres; Ricard Gavaldà (ICAS, 2009)

Adaptive Learning from Evolving Data Streams. - Albert Bifet; Ricard Gavaldà (IDA, 2009)

New ensemble methods for evolving data streams. - Albert Bifet; Geoffrey Holmes 001; Bernhard Pfahringer; Richard Kirkby; Ricard Gavaldà (KDD, 2009)

Adaptive XML Tree Mining on Evolving Data Streams. - Albert Bifet; Ricard Gavaldà (MLG/SRL@ILP, 2009)

Adaptive XML Tree Classification on Evolving Data Streams. - Albert Bifet; Ricard Gavaldà (ECML/PKDD (1), 2009)

Self-adaptive utility-based web session management. - Nicolás Poggi; Toni Moreno; Josep Lluis Berral; Ricard Gavaldà; Jordi Torres (Comput. Networks, 2009)

The frequency spectrum of finite samples from the intermittent silence process. - Ramon Ferrer-i-Cancho; Ricard Gavaldà (J. Assoc. Inf. Sci. Technol., 2009)

A Lower Bound for Learning Distributions Generated by Probabilistic Automata. - Borja Balle; Jorge Castro; Ricard Gavaldà (ALT, 2010)

Adaptive on-line software aging prediction based on machine learning. - Javier Alonso 001; Jordi Torres; Josep Lluis Berral; Ricard Gavaldà (DSN, 2010)

Towards energy-aware scheduling in data centers using machine learning. - Josep Lluis Berral; Iñigo Goiri; Ramon Nou; Ferran Julià; Jordi Guitart; Ricard Gavaldà; Jordi Torres (e-Energy, 2010)

Learning PDFA with Asynchronous Transitions. - Borja Balle; Jorge Castro; Ricard Gavaldà (ICGI, 2010)

Characterization of workload and resource consumption for an online travel and booking site. - Nicolás Poggi; David Carrera 001; Ricard Gavaldà; Jordi Torres; Eduard Ayguadé (IISWC, 2010)

J2EE instrumentation for software aging root cause application component determination with AspectJ. - Javier Alonso 001; Jordi Torres; Josep Lluis Berral; Ricard Gavaldà (IPDPS Workshops, 2010)

Resource-bounded Dimension in Computational Learning Theory - Ricard Gavaldà; María López-Valdés; Elvira Mayordomo; N. V. Vinodchandran (CoRR, 2010)

SalaboMiner - A Biomedical Literature Mining Tool for Inferring the Genetics of Complex Diseases. - Leonor Rib; Ricard Gavaldà; José Manuel Soria; Alfonso Buil (BIOINFORMATICS, 2011)

Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning. - Josep Lluis Berral; Ricard Gavaldà; Jordi Torres (GRID, 2011)

Optimal Resource Allocation in a Virtualized Software Aging Platform with Software Rejuvenation. - Javier Alonso 001; Iñigo Goiri; Jordi Guitart; Ricard Gavaldà; Jordi Torres (ISSRE, 2011)

Mining frequent closed graphs on evolving data streams. - Albert Bifet; Geoff Holmes 001; Bernhard Pfahringer; Ricard Gavaldà (KDD, 2011)

Non-intrusive Estimation of QoS Degradation Impact on E-Commerce User Satisfaction. - Nicolás Poggi; David Carrera 001; Ricard Gavaldà; Eduard Ayguadé (NCA, 2011)

Mining frequent closed trees in evolving data streams. - Albert Bifet; Ricard Gavaldà (Intell. Data Anal., 2011)

Detecting Sentiment Change in Twitter Streaming Data. - Albert Bifet; Geoffrey Holmes 001; Bernhard Pfahringer; Ricard Gavaldà (WAPA, 2011)

Applying Trust Metrics Based on User Interactions to Recommendation in Social Networks. - Alberto Lumbreras; Ricard Gavaldà (ASONAM, 2012)

Online Techniques for Dealing with Concept Drift in Process Mining. - Josep Carmona 001; Ricard Gavaldà (IDA, 2012)

Energy-efficient and multifaceted resource management for profit-driven virtualized data centers. - Iñigo Goiri; Josep Lluis Berral; Josep Oriol Fitó; Ferran Julià; Ramon Nou; Jordi Guitart; Ricard Gavaldà; Jordi Torres (Future Gener. Comput. Syst., 2012)

Bootstrapping and Learning PDFA in Data Streams. - Borja Balle; Jorge Castro; Ricard Gavaldà (ICGI, 2012)

The Architecture of a Churn Prediction System Based on Stream Mining. - Borja Balle; Bernardino Casas; Alex Catarineu; Ricard Gavaldà; David Manzano-Macho (CCIA, 2013)

Power-Aware Multi-data Center Management Using Machine Learning. - Josep Lluis Berral; Ricard Gavaldà; Jordi Torres (ICPP, 2013)

Empowering automatic data-center management with machine learning. - Josep Lluis Berral; Ricard Gavaldà; Jordi Torres (SAC, 2013)

Learning probabilistic automata: A study in state distinguishability. - Borja Balle; Jorge Castro; Ricard Gavaldà (Theor. Comput. Sci., 2013)

Introduction to the special issue on social web mining. - Francesco Bonchi; Wray L. Buntine; Ricard Gavaldà; Shengbo Guo (ACM Trans. Intell. Syst. Technol., 2013)

Building Green Cloud Services at Low Cost. - Josep Lluis Berral; Iñigo Goiri; Thu D. Nguyen; Ricard Gavaldà; Jordi Torres; Ricardo Bianchini (ICDCS, 2014)

A methodology for the evaluation of high response time on E-commerce users and sales. - Nicolás Poggi; David Carrera 001; Ricard Gavaldà; Eduard Ayguadé; Jordi Torres (Inf. Syst. Frontiers, 2014)

Adaptively learning probabilistic deterministic automata from data streams. - Borja Balle; Jorge Castro; Ricard Gavaldà (Mach. Learn., 2014)

Learning Read-Constant Polynomials of Constant Degree Modulo Composites. - Arkadev Chattopadhyay; Ricard Gavaldà; Kristoffer Arnsfelt Hansen; Denis Thérien (Theory Comput. Syst., 2014)

Characterizing chronic disease and polymedication prescription patterns from electronic health records. - Martí Zamora; Manel Baradad; Ester Amado; Silvia Cordomi; Esther Limon; Juliana Ribera; Marta Arias; Ricard Gavaldà (DSAA, 2015)

An efficient closed frequent itemset miner for the MOA stream mining system. - Massimo Quadrana; Albert Bifet; Ricard Gavaldà (AI Commun., 2015)

Fraud Detection in Energy Consumption: A Supervised Approach. - Bernat Coma-Puig; Josep Carmona 001; Ricard Gavaldà; Santiago Alcoverro; Victor Martin (DSAA, 2016)

From Training to Match Performance: A Predictive and Explanatory Study on Novel Tracking Data. - Javier Fernández 006; Daniel Medina; Antonio Gómez; Marta Arias; Ricard Gavaldà (ICDM Workshops, 2016)

Does Training Affect Match Performance? A Study Using Data Mining And Tracking Devices. - Javier Fernández 006; Daniel Medina; Antonio Gómez; Marta Arias; Ricard Gavaldà (MLSA@PKDD/ECML, 2016)

Machine Learning Assists the Classification of Reports by Citizens on Disease-Carrying Mosquitoes. - Antonio Rodriguez; Frederic Bartumeus; Ricard Gavaldà (SoGood@ECML-PKDD, 2016)

Clustering Patients with Tensor Decomposition. - Matteo Ruffini; Ricard Gavaldà; Esther Limon (MLHC, 2017)

Identifiability and transportability in dynamic causal networks. - Gilles Blondel; Marta Arias; Ricard Gavaldà (Int. J. Data Sci. Anal., 2017)

Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data. - María Gabriela Valdés; Iván Galván-Femenía; Vicent J. Ribas Ripoll; Xavier Duran; Jun Yokota; Ricard Gavaldà; Xavier Rafael-Palou; Rafael de Cid (BMC Syst. Biol., 2018)

Generating Synthetic but Plausible Healthcare Record Datasets. - Laura Aviñó; Matteo Ruffini; Ricard Gavaldà (CoRR, 2018)

A new method of moments for latent variable models. - Matteo Ruffini; Marta Casanellas; Ricard Gavaldà (Mach. Learn., 2018)

Interpretable Patient Trajectories from Temporally Annotated Health Records. - Martí Zamora; Ricard Gavaldà (CBMS, 2019)

Probabilistic model for robust traffic state identification in urban networks. - Rafael Mena Yedra; Jordi Casas; Ricard Gavaldà (ITSC, 2019)

Adaptive Windowing. - Ricard Gavaldà (Encyclopedia of Big Data Technologies, 2019)

Interpretable prediction of mortality in liver transplant recipients based on machine learning. - Xiao Zhang; Ricard Gavaldà; Jaume Baixeries (Comput. Biol. Medicine, 2022)

Machine Learning for Clinical Management: From the Lab to the Hospital. - Ricard Gavaldà (KDD, 2024)

A case study of improving a non-technical losses detection system through explainability. - Bernat Coma-Puig; Albert Calvo; Josep Carmona 001; Ricard Gavaldà (Data Min. Knowl. Discov., 2024)