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Gavaldà Mestre, Ricard

Total activity: 259

Research group: LARCA - Laboratory of Relational Algorithmics, Complexity and Learnability
Department: Department of Computer Science
School: Barcelona School of Informatics (FIB)
School of Mathematics and Statistics (FME)

E-mail: gavaldacs.upc.edu
Contact details: UPC directory

Orcid: 0000-0003-4736-7179

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Scientific and technological production

1 to 50 of 259 results

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TRaceo y ACompañamiento en el viaje con medios IT
Larriba, J.; Gavaldà, R.; Ferrer-i-Cancho, R.
Competitive project

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Eines algorítmiques per a l'anàlisi de l'evolució temporal de pacients en els sistemes de salut
Gavaldà, R.
Competitive project

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Learning Latent Variable Models: Efficient Algorithms and Applications
Department of Computer Science, Universitat Politècnica de Catalunya
Theses

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Assessing spatiotemporal correlations from data for short-term traffic prediction using multi-task learning
Mena, R.; Casas, J.; Gavaldà, R.
Transportation research procedia
Vol. 34, p. 155-162
DOI: 10.1016/j.trpro.2018.11.027
Date of publication: 2018-12-04
Journal article

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Pipeline design to identify key features and classify the chemotherapy response on lung cancer patients using large-scale genetic data
Valdés, M.; Galván, I.; Ribas, V.; Duran, X.; Yokota, J.; Gavaldà, R.; Rafael-Palou, X.; de Cid, R.
BMC systems biology
Vol. 12, num. (Suppl 5):97, p. 55-74
DOI: 10.1186/s12918-018-0615-5
Date of publication: 2018-11-20
Journal article

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Generating synthetic but plausible healthcare record datasets
Aviñó, L.; Ruffini, M.; Gavaldà, R.
KDD Workshop on Machine Learning for Medicine and Healthcare
p. 1-5
Presentation's date: 2018-08-20
Presentation of work at congresses

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New ensemble methods for evolving data streams
Bifet, A.C.; Holmes, G.; Pfahringer, B.; Kirkby, R.; Gavaldà, R.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
p. 139-148
DOI: 10.1145/1557019.1557041
Presentation's date: 2018-07
Presentation of work at congresses

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A new spectral method for latent variable models
Ruffini, M.; Casanellas, M.; Gavaldà, R.
Machine learning
Vol. 107, num. 8-10, p. 1431-1455
DOI: 10.1007/s10994-018-5706-4
Date of publication: 2018-05-22
Journal article

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Reconocimiento de patrones tácticos en fútbol
Gavaldà, R.
Competitive project

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Machine learning for data streams: with practical examples in MOA
Bifet, A.; Gavaldà, R.; Holmes, G.; Pfahringer, B.
Date of publication: 2018-02
Book

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Management and Analysis of Complex DATA
Ferrer-i-Cancho, R.; Larriba, J.; Arratia, A.; Baixeries, J.; Delgado, J.; Perez-Casany, M.; Arias, M.; Casas, B.; Gavaldà, R.; Morrill, G.; Belanche, Ll.; Castro, J.; Balcazar, J. L.; Hernandez Fernandez, A.; Alemany, L.
Competitive project

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Adarules: Learning rules for real-time road-traffic prediction
Mena, R.; Gavaldà, R.; Casas, J.
Transportation research procedia
Vol. 27, p. 11-18
DOI: 10.1016/j.trpro.2017.12.106
Date of publication: 2017-12-17
Journal article

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Improving adaptation and interpretability of a short-term traffic forecasting system
Mena, R.; Casas, J.; Djukic, T.; Gavaldà, R.
Australasian Transport Research Forum
p. 1-15
Presentation's date: 2017-11-28
Presentation of work at congresses

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Characterization of the CPAP-treated patient population in Catalonia
Turino, C.; Bertrán, S.; Gavaldà, R.; Teixidó, I.; Woehrle, H.; Rué, M.; Solsona, F.; Escarrabill, J.; Colls, C.; García, A.; Batlle, J. de; Sánchez, M.; Barbé, F.
PloS one
Vol. 12, p. 1-12
DOI: 10.1371/journal.pone.0185191
Date of publication: 2017-09-21
Journal article

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My Travel Companion
Larriba, J.; Arias, M.; Gavaldà, R.; Ferrer-i-Cancho, R.; Guisado, J.
Competitive project

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Technology Transfer via Multinational Application Experiments
Larriba, J.; Gavaldà, R.; Ferrer-i-Cancho, R.; Coll, D.
Competitive project

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Clustering patients with tensor decomposition
Ruffini, M.; Gavaldà, R.; Limón, E.
Machine Learning for Healthcare Conference
p. 1-21
Presentation's date: 2017-08-18
Presentation of work at congresses

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Ordenació territorial de fluxos de pacients
Gavaldà, R.
Noncompetitive project

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A SYSTEM FOR PREDICTING AND MANAGING ADMISSION PRESSURE AT HOSPITAL EMERGENCY
Gavaldà, R.
Competitive project

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Better match physical performance achieved in professional football with higher variability during training: A machine-learning aApproach
Fernández, J.; Medina, D.; Gomez, A.; Arias, M.; Gavaldà, R.
Annual Congress of the European College of Sport Science
p. 20
Presentation's date: 2017-07
Presentation of work at congresses

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Identifiability and transportability in dynamic causal networks
Blondel, G.; Arias, M.; Gavaldà, R.
International journal of data science and analytics
Vol. 3, num. 2, p. 131-147
DOI: 10.1007/s41060-016-0028-8
Date of publication: 2017-03
Journal article

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My travel companion
Larriba, J.; Gavaldà, R.; Ferrer-i-Cancho, R.
Competitive project

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From training to match performance: A predictive and explanatory study on novel tracking data
Fernández, J.; Medina, D.; Gómez, A.; Arias, M.; Gavaldà, R.
International Workshop on Data mining for the Analysis of Performance and Success
p. 136-143
DOI: 10.1109/ICDMW.2016.0027
Presentation's date: 2016-12-12
Presentation of work at congresses

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Rehabilitation profiles of older adult stroke survivors admitted to intermediate care units: A multi-centre study
Pérez, L.; Inzitari, M.; Quinn, T.; Montaner, J.; Gavaldà, R.; Duarte, E.; Coll, L.; Cerdá, M.; Santaeugenia, S.; Closa, C.; Gallofre, M.
PloS one
Vol. 11, num. 11, p. 1-13
DOI: 10.1371/journal.pone.0166304
Date of publication: 2016-11-09
Journal article

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Fraud detection in energy consumption: a supervised approach
Coma, B.; Carmona, J.; Gavaldà, R.; Alcoverro, S.; Martín, V.
IEEE International Conference on Data Science and Advanced Analytics
p. 120-129
DOI: 10.1109/DSAA.2016.19
Presentation's date: 2016-10-17
Presentation of work at congresses

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Machine learning assists the classification of reports by citizens on disease-carrying mosquitoes
Rodriguez, A.; Bartumeus, F.; Gavaldà, R.
Workshop on Data Science for Social Good
p. 1-11
Presentation's date: 2016-09-19
Presentation of work at congresses

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Does training affect match performance? A study using data mining and tracking devices
Fernández, J.; Medina, D.; Gómez, A.; Arias, M.; Gavaldà, R.
Machine Learning and Data Mining for Sports Analytics Workshop
p. 1-10
Presentation's date: 2016-09-19
Presentation of work at congresses

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Identifiability and transportability in dynamic causal networks
Blondel, G.; Arias, M.; Gavaldà, R.
ACM SIGKDD Workshop on Causal Discovery
Presentation's date: 2016-08-14
Presentation of work at congresses

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Identifiability and transportability in dynamic causal networks
Blondel, G.; Arias, M.; Gavaldà, R.
ACM SIGKDD Workshop on Causal Discovery
Presentation's date: 2016-08-14
Presentation of work at congresses

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Suport en l'execució del projecte HealthForecast
Gavaldà, R.
Noncompetitive project

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Análisis de bases de datos y su relación con aspectos físicos y tácticos del deporte
Gavaldà, R.; Arias, M.
Noncompetitive project

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Learning probability distributions generated by finite-state machines
Castro, J.; Gavaldà, R.
DOI: 10.1007/978-3-662-48395-4
Date of publication: 2016
Book chapter

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Detecció d'activitats domestiques via sensors
Gavaldà, R.
Noncompetitive project

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Identifiability and transportability in dynamic causal networks
Blondel, G.; Arias, M.; Gavaldà, R.
Date: 2016
Report

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Enrichment of virtual screening results using induced-fit techniques
Iglesias, J.; Sae-oon, S.; Hernández, G.; Estrada, J.; Gavaldà, R.; Guallar, V.
BSC International Doctoral Symposium
p. 121-123
Presentation's date: 2016
Presentation of work at congresses

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Characterizing chronic disease and polymedication prescription patterns from electronic health records
Zamora, M.; Baradad, M.; Amado, E.; Cordomí, S.; Limón, E.; Ribera, J.; Arias, M.; Gavaldà, R.
IEEE International Conference on Data Science and Advanced Analytics
p. 1-9
DOI: 10.1109/DSAA.2015.7344870
Presentation's date: 2015-10-19
Presentation of work at congresses

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Information technologies for shift to rail
Larriba, J.; Arias, M.; Perez-Casany, M.; Gavaldà, R.
Competitive project

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Predictive models applied to real-time transit prediction
Gavaldà, R.; Mena, R.
Competitive project

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An efficient closed frequent itemset miner for the MOA stream mining system
Quadrana, M.; Bifet, A.C.; Gavaldà, R.
AI communications: the european journal of artificial intelligence
Vol. 28, num. 1, p. 143-158
DOI: 10.3233/AIC-140615
Date of publication: 2015-01-07
Journal article

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Learning and Communication
Arias, M.; Duarte, A.; Valentin Fernandez, J.; Arratia, A.; Hernandez Fernandez, A.; Casas, B.; Sierra-Santibáñez, J.; Baixeries, J.; Ferrer-i-Cancho, R.; Morrill, G.; Belanche, Ll.; Castro, J.; Balcazar, J. L.; Gavaldà, R.; Lozano, A.
Competitive project

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A methodology for the evaluation of high response time on E-commerce users and sales
Poggi, N.; Carrera, D.; Gavaldà, R.; Ayguade, E.; Torres, J.
Information systems frontiers
Vol. 16, num. 5, p. 867-885
DOI: 10.1007/s10796-012-9387-4
Date of publication: 2014-11
Journal article

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Adaptively learning probabilistic deterministic automata from data streams
B. Balle; Castro, J.; Gavaldà, R.
Machine learning
Vol. 96, num. 1-2, p. 99-127
DOI: 10.1007/s10994-013-5408-x
Date of publication: 2014-07
Journal article

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Building green cloud services at low cost
Berral, J.; Goiri, I.; Nguyen, T.D.; Gavaldà, R.; Torres, J.; Bianchini, R.
IEEE International Conference on Distributed Computing Systems
p. 449-460
DOI: 10.1109/ICDCS.2014.53
Presentation's date: 2014-07
Presentation of work at congresses

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Gestió i Anàlisi de Dades Complexes
Gavaldà, R.; Balcazar, J. L.; Morrill, G.; Castro, J.; Delgado, J.; Sierra-Santibáñez, J.; Arias, M.; Arratia, A.; Baixeries, J.; Ferrer-i-Cancho, R.; Valentin Fernandez, J.; Hernandez Fernandez, A.; Larriba, J.; Perez-Casany, M.; Prat, A.; Guisado, J.; Martinez, X.; Duarte, A.
Competitive project

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Improved Self-management of DataCenter Systems Applying Machine Learning
Berral, J.
Universitat Politècnica de Catalunya
Theses

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An efficient closed frequent itemset miner for the MOA stream mining system
Quadrana, M.; Bifet, A.C.; Gavaldà, R.
International Conference of the Catalan Association for Artificial Intelligence
p. 203-212
DOI: 10.3233/978-1-61499-320-9-203
Presentation's date: 2013-10-24
Presentation of work at congresses

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The Architecture of a Churn Prediction System Based on Stream Mining
B. Balle; Casas, B.; Catarineu, A.; Gavaldà, R.; Manzano-Macho, D.
International Conference of the Catalan Association for Artificial Intelligence
p. 157-166
DOI: 10.3233/978-1-61499-320-9-157
Presentation's date: 2013-10-24
Presentation of work at congresses

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A Coherent and Rich PaaS with a Common Programming Model
Larriba, J.; Arias, M.; Escale, F.; Aguila, M.; Pau, R.; Gavaldà, R.; Perez-Casany, M.
Competitive project

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Power-aware multi-data center management using machine learning
Berral, J.; Gavaldà, R.; Torres, J.
International Workshop on Power-aware Algorithms, Systems, and Architectures
p. 858-867
DOI: 10.1109/ICPP.2013.102
Presentation's date: 2013-10-01
Presentation of work at congresses

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Learning Finite-State Machines: Statistical and Algorithmic Aspects
Department of Computer Science, Universitat Politècnica de Catalunya
Theses

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Gavaldà Mestre, Ricard

Scientific and technological production

Open Access activity

Rewarded activity

Scope

Institute