Publications
2017
L. Fábregues, A. Arratia, L. Belanche. Forecasting Financial Time Series with Multiple Kernel Learning. Advances in Computational Intelligence. LNCS 10306. 14th International Work-Conference on Artificial Neural Networks, IWANN 2017, Cadiz, Spain, June 14-16, 2017, Proceedings, Part II, pp 176-187 [PDF]
A. Arratia & Marti Renedo. On methods to assess the significance of community structure in networks of financial time series. 4th International Work-Conference on Time Series Analysis (ITISE 2017). Sept. 18-20, 2017. Granada, Spain.
2016
A. Arratia & Marti Renedo. Clustering of exchange rates and their dynamics under different dependence measures (PDF). In: ECML-PKDD (2016). Proc. 1st Workshop MIDAS (MIning DAta for financial applicationS). September 19, 2016 - Riva del Garda, Italy. CEUR-WS, v. 1774, pp 17-28.
A. Arratia, Alejandra Cabaña and Alex Seres. Towards a sharp estimation of transfer entropy for identifying causality in financial time series. (PDF). In: ECML-PKDD (2016). Proc. 1st Workshop MIDAS (MIning DAta for financial applicationS). September 19, 2016 - Riva de l Garda, Italy. CEUR-WS, v. 1774, pp 31-42 [paper]
M. Peña-Grass, A. Arratia, L. Belanche. Multivariate Dynamic Kernels for Financial Time Series Forecasting (PDF). In: ICANN 2016, The 25th International Conference on Artificial Neural Networks. Barcelona, September 6-9, 2016. (LNCS 9887, 336--344).
Argimiro Arratia & Guillermo Navas-Palencia, On the computation of confluent hypergeometric functions for large
imaginary part of b and z. The 5th International Congress on Mathematical Software (ICMS 2016).
Lecture Notes in Computer Science, Volume 9725, Springer, July 2016.
2015
2014
2013
J.Ll. Berral, R. Gavaldà, J. Torres: Empowering automatic data-center management with machine learning. ACM Symp. on Applied Computing (SAC), Data Mining track, 170-172 (2013).
José L. Balcázar, Francis Dogbey: Evaluation of Association Rule Quality Measures through Feature Extraction. Intelligent Data Analysis Conference (IDA 2013), 68-79.
Adrià Recasens, Ariadna Quattoni: Spectral Learning of Sequence Taggers over Continuous Sequences. ECML/PKDD (1) 2013: 289-304.
Raphaël Bailly, Xavier Carreras, Franco M. Luque, Ariadna Quattoni: Unsupervised Spectral Learning of WCFG as Low-rank Matrix Completion. The 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013): 624-635.
Edgar Simo-Serra, Ariadna Quattoni, Carme Torras, Francesc Moreno-Noguer: A Joint Model for 2D and 3D Pose Estimation from a Single Image. Computer Vision and Pattern Recognition Intl. Conf. (CVPR 2013): 3634-3641.
Oriol Valentín, Daniel Serret, Glyn Morrill: A Count Invariant for Lambek Calculus with Additives and Bracket Modalities. Intl. Conf. on Formal Grammar 2013: 263-276.
Argimiro Arratia, Carlos E. Ortiz: First Order Extensions of Residue Classes and Uniform Circuit Complexity. 20th International Workshop, Logic, Language, Information, and Computation (WoLLIC) 2013: 49-63.
Computing Similarity Dependencies with Pattern Structures. Jaume Baixeries, Mehdi Kaytoue and Amedeo Napoli. Proceedings in CLA: Concept Lattices and Their Applications 2013.
2012
Morrill, Glyn (2012) `Logical Grammar', in Ruth Kempson, Tim Fernando and Nicholas Asher (eds.) Philosophy of Linguistics, volume 14 of Dov M. Gabbay, Paul Thagard and John Woods (eds.) Handbook of the Philosophy of Science, North Holland, Oxford UK and Amsterdam The Netherlands, pp. 63--92.
Morrill, Glyn and Oriol Valentín (2012): Generalized Discontinuity, in Philippe de Groote and Mark-Jan Nederhof (eds.) Proceedings of Formal Grammar 2010 and Formal Grammar 2011, Springer Lecture Notes in Computer Science No. 7395, pp. 146--161.
Jorge Castro and Ricard Gavaldà: Learning Probability Distributions Generated by Finite-State Machines. Tutorial given at the 11th Intl. Conf. on Grammatical Inference (ICGI 2012), Washington (USA), september 2012.
Baixeries, J., Ferrer-i-Cancho, R., Elvevåg, B.. The exponent of Zipf’s law in language ontogeny. Evolution of Language Conference (Evolang 2012). Kyoto, Japan, March 13-16. In: THE EVOLUTION OF LANGUAGE - Proceedings of the 9th International Conference (EVOLANG9), J, Scott-Phillips, T, Tamariz, M, Cartmill, E, Hurford (eds.), World Scientific, Singapore, pp. 409-410.
J. Baixeries, A. Napoli and M. Kaytoue. Functional Dependencies and Pattern Structures. Concept Lattices and Applications 2012.
Josep Carmona and Ricard Gavaldà: Online techniques for dealing with concept drift in process mining. 11th Symp. on Intelligent Data Analysis (IDA 2012). Springer Lecture Notes in Computer Science vol. 7619, p. 90-102.
Borja Balle, Jorge Castro, Ricard Gavaldà: Bootstrapping and learning PDFA in data streams. 11th International Conference on Grammatical Inference (ICGI 2012). Best student paper award.
Albert Bifet, João Gama, Ricard Gavaldà, Georg Krempl, Mykola Pechenizkiy, Bernhard Pfahringer, Myra Spiliopoulou, Indrė Žliobaitė: Advanced Topics in Stream Data Mining.
Tutorial given at the ECML PKDD 2012 conference, Bristol (UK), september 2012.
A. Lumbreras, R. Gavaldà. Applying trust metrics based on user interactions to recommendation in social networks. In 1st Intl. Workshop on Social Knowledge Discovery and Utilization (Istambul, August 2012).
M. Arias, A. Troncoso, J. Riquelme. A Kernel for Time Series Classification. Application to Atmospheric Pollutants. In Soft Computing Models in Industrial and Environmental Applications (Ostrava, Czech Republic, Sept. 2012).
Franco M. Luque, Ariadna Quattoni, Borja Balle, Xavier Carreras: Spectral Learning for Non-Deterministic Dependency Parsing. 13th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2012): 409-419. Best paper award.
A. Quattoni, X. Carreras, A. Torralba. A Latent Variable Ranking Model for Content-based Retrieval. European Conference on Information Retrieval, ECIR 2012.
B. Balle, A. Quattoni, X. Carreras. Local Loss Optimization in Operator Models: A New Insight Into Spectral Learning. International Conference on Machine Learning, ICML 2012.
B. Balle, M. Mohri. Spectral Learning of General Weighted Automata via Constrained Matrix Completion. Conference on Neural Information Processing Systems, NIPS 2012
J. Sierra-Santibáñez. A Logic Programming Approach to Parsing and Production in Fluid Construction Grammar. In Computational Issues in Fluid Construction Grammar. Lecture Notes in Computer Science, volume 7249, pages 239-255, 2012.
José L. Balcázar, Diego García-Saiz, Javier de la Dehesa: Iterator-based Algorithms in Self-Tuning Discovery of Partial Implications. 10th International Conference on Formal Concept Analysis, 2012, supplementary proceedings, CEUR Workshop Proceedings vol. 876, pages 14-28.
Diego García-Saiz, José L. Balcázar, Marta E. Zorrilla: Closures and Partial Implications in Educational Data Mining. 10th International Conference on Formal Concept Analysis, 2012, supplementary proceedings, CEUR Workshop Proceedings vol. 876, pages 98-113.
2011
Alejandra Cabaña, Argimiro Arratia, Enrique Cabaña, Modelling stationary time series by continuous time processes, 4th International Conference of the ERCIM WG on COMPUTING & STATISTICS (ERCIM'11), 17-19 December 2011, Senate House, University of London, UK.
Jaume Baixeries. A New Formal Context for Symmetric Dependencies. Proc. 8th Intl. Conf. on Concept Lattices and their Applications, CLA 2011.
Josep Lluis Berral, Ricard Gavaldà, Jordi Torres: Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning. 12th IEEE/ACM International Conference on Grid Computing, GRID 2011. IEEE Press, 66-73.
Arkadev Chattopadhyay, Ricard Gavaldà, Kristoffer Arnsfelt Hansen, Denis Thérien: Learning Read-Constant Polynomials of Constant Degree Modulo Composites. 6th International Computer Science Symposium in Russia, (CSR'2011), Springer-Verlag LNCS 6651, 29-42.
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, Ricard Gavaldà: Mining frequent closed graphs on evolving data streams. 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2011), ACM Press, 591-599.
Nicolás Poggi, David Carrera, Ricard Gavaldà, Eduard Ayguadé: Non-intrusive Estimation of QoS Degradation Impact on E-Commerce User Satisfaction. Tenth IEEE International Symposium on Networking Computing and Applications, NCA 2011, IEEE Press 179-186.
Borja Balle, A. Quattoni, X. Carreras: A Spectral Learning Algorithm for Finate State Transducers. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery on Databases (ECML PKDD 2011).
R. Xuriguera, M. Arias, Structured-Content Extraction from the Web for Bibliographic Reference Generation. Workshop Recherche et Fouille d’Information sur le Web, Brest, january 2011. [pdf]
Leonor Rib, Ricard Gavaldà, Jose Manuel Soria, Alfonso Buil. SalamboMiner - A Biomedical Literature Mining Tool for Inferring the Genetics of Complex Diseases. BIOINFORMATICS 2011: Intl. Conf. on bioinformatics models, methods, and algorithms.
G. Morrill: Logic Programming of the Displacement Calculus. In Sylvain Pogodalla and Jean-Philippe Prost (eds.) Proceedings of Logical Aspects of Computational Linguistics 2011, LACL'11, Montpellier, Springer Lecture Notes in AI LNAI 6736, Springer, Berlin, 175--189.
J. Sierra-Santibáñez. First Order Logic Concepts in Fluid Construction Grammar. Biologically Inspired Cognitive Architectures 2011. IOS Press, pages 344 - 350, 2011.
Borja Balle, Jorge Castro, Ricard Gavaldà. Learning PDFA with Asynchronous Transitions. 10th Intl. Coll. on Grammatical Inference (ICGI'10) Lecture Notes in Computer Science 6339, Springer 2010. [pdf]
Javier Alonso, Josep Ll. Berral, Ricard Gavaldà, Jordi Torres. Adaptive on-line software aging prediction based on Machine Learning. 40th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2010). IEEE Computer Society Press, 2010. [pdf]
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. 1st International Conference on Energy-Efficient Computing and Networking, e-Energy 2010, ACM Press, 2010. [pdf]
Marta Arias and Antti Ukkonen. Example-dependent Basis Vector Selection for Kernel-Based Classifiers. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010), Barcelona (Spain), september 2010.
Argimiro Arratia & Carlos Marijuán, Practical challenges that arise when clustering the web using spectral methods, in D. Sadornil et al (eds.): VII Jornadas de Matemática Discreta y Algoritmica, Castro Urdiales, Julio 2010 (Actas del Congreso ISBN 978-84-693-3063-0, pp. 89-100, 2010.)
G. Morrill and A. Gavarró 2010 `Categorial Complexity of Relativisation and Child Romance Performance', in Pedro Guijarro-Fuentes & Laura Domínguez (eds.) New Directions in Language Acquisition: Romance Languages in the Generative Pertspective, Cambridge Scholars Publishing, Newcastle upon Tyne, 365--387.
G. Morrill and O. Valentín 2010 `On Anaphora and the Binding Principles in Categorial Grammar', WoLLIC 2010, Brasília, Brazil, in Anuj Dawar and Ruy de Queiroz (eds.) Proceedings of the 17th International Workshop on Logic, Language, Information and Computation, Lecture Notes in Artificial Intelligence, LNAI 6188, Springer, Berlin, 176--190.
J. Sierra-Santibáñez. Experiments on the Acquisition of the Semantics and Grammatical Constructions Required for Communicating Propositional Logic Sentences. Autonomic Computing and Communication Systems: Third International ICST Conference, Autonomics 2009. Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Communications, Springer, pag. 236 - 251, 2010.
A. Quattoni, A. Torralba. Recognizing Indoor Scenes. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2009), June 2009. [pdf]
Marta Arias and José L. Balcázar. Canonical Horn Representations and Query Learning. The 20th International Conference on Algorithmic Learning Theory. Springer Lecture Notes in Computer Science 5809, Porto, Portugal, 2009.
Albert Bifet and Ricard Gavaldà. Adaptive Learning from Evolving Data Streams. 8th Intl. Symp. on Intelligent Data Analysis (IDA'09). Lyon, France, 2009.
Albert Bifet and Ricard Gavaldà. Adaptive XML Tree Classification on Evolving Data Streams. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2009), Bled (Slovenia), september 2009.
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, and Ricard Gavaldà: New ensemble methods for evolving data streams. 15th ACM SIGKDD Intl. Conference on Knowledge Discovery and Data Mining (KDD'09), Paris, France, June 2009.
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, and Ricard Gavaldà. Improving Adaptive Bagging Methods for Evolving Data Streams In First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2009.
Jaume Baixeries, Laszlo Szathmary, Petko Valtchev, and Robert Godin. Yet a Faster Algorithm for Building the Hasse Diagram of a Galois Lattice. The 7th Intl. Conf. on Formal Concept Analysis, Darmstadt (Germany), 2009.
Ricard Gavaldà and Denis Thérien: An Algebraic Perspective on Boolean Function Learning. 20th Intl. Conf. on Algorithmic Learning Theory (ALT'09), Porto (Portugal), 2009.
Glyn Morrill, Oriol Valentín, and Mario Fadda. Dutch Grammar and Processing: A Case Study. Logic, Language, and Computation: 7th International Tbilisi Symposium, Revised Selected Papers, 272-286.
J. Sierra-Santibáñez. Experiments on the Acquisition of Cognitive and Linguistic Competence to Communicate Propositional Logic Sentences. AAAI 2009 Fall Symposium on Biologically Inspired Cognitive Architectures. AAAI Press, pag. 153-158, 2009.
J. Sierra-Santibáñez. The Acquisition of Linguistic Competence for Communicating Propositional Logic Sentences. Engineering Societies in the Agents World VIII. Lecture Notes in Computer Sciences, vol. 4995, pag. 175-192, 2008.
J. Sierra Santibáñez. Horn Query Learning with Multiple Refinement. Simulated Evolution and Learning. Lecture Notes in Computer Science, vol. 5361, pag. 503-513, 2008.
Baixeries, Jaume. Formal Context for Symmetric Dependencies. The Sixth International Conference in Formal Concept Analysis. Springer Lecture Notes in Computer Science 4933, Montréal, Canada, 2008.
Castro, Jorge; Gavaldà, Ricard. Towards feasible PAC-learning of probabilistic deterministic finite automata. The 9th International Colloquium on Grammatical Inference. Springer Lecture Notes in Computer Science 5278. St. Malo, France, 2008.
Bifet, Albert; Gavaldà, Ricard. Mining adaptively frequent closed unlabeled rooted trees in data streams. The 14th ACM SIGKDD Intl. Conference on Knowledge Discovery and Data Mining, ACM Press. Las Vegas, Nevada, USA, 2008.
Balcázar, José L. Minimum-Size Bases of Association Rules. The 13th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Springer Lecture Notes in Computer Science 5211, Antwerp, Belgium, 2008.
Arias, M.; Balcázar, José L. Query Learning and Certificates in Lattices. The 19th International Conference on Algorithmic Learning Theory. Springer Lecture Notes in Computer Science 5254, Budapest, Hungary, 2008.
Balcázar, José L. Deduction Schemes for Association Rules.The 11th International Conference on Discovery Science. Springer Lecture Notes in Computer Science 5255, Budapest, Hungary, 2008.
Balcázar, José L.; Garriga, Gemma C. Characterizing Implications of Injective Partial Orders. The 15th Intl. Conference on Conceptual Structures. Springer Lecture Notes in Artificial Intelligence 4068, Sheffield, UK, 2007.
Balcázar, José L.; Bifet, Albert; Lozano, Antoni. Mining Frequent Closed Unordered Trees through Natural Representations. The 15th Intl. Conference on Conceptual Structures. Springer Lecture Notes in Artificial Intelligence 4068, Sheffield UK, 2007.
Bifet, Albert, Gavaldà, Ricard. Learning from time-changing data with adaptive windowing. The 7th SIAM Intl. Conf. on Data Mining. Minneapolis, Minnesota, USA, 2007.
J. Sierra-Santibáñez. The Acquisition of Linguistic Competence for Communicating Propositional Logic Sentences. Working Notes of the Eighth International Workshop on Engineering Societies in the Agents World. NCSR Demokritos, Greece, pag. 97-112, 2007.
Castro, Jorge. How Many Query Superpositions Are Needed to Learn? The 17th Intl. Conf. on Algorithmic Learning Theory. Springer Lecture Notes in Computer Science 4264, Barcelona, 2006.
Baixeries, Jaume; Balcázar, José L. Unified characterization of symmetric dependencies with lattices. The Fourth International Conference in Formal Concept Analysis. Springer Lecture Notes in Artificial Intelligence 3874, Dresden, Germany, 2006.
Bifet, Albert; Gavaldà, Ricard. Kalman Filters and Adaptive Windows for Learning in Data Streams. The 9th International Conference on Discovery Science. Springer Lecture Notes in Computer Science 4265, Barcelona, Spain, 2008.
J. Sierra-Santibáñez. Propositional Logic Syntax Acquisition. Symbol Grounding and Beyond. Third International Workshop on the Emergence and Evolution of Linguistic Communication. Springer Lecture Notes in Computer Science 4211, pag. 128 - 142, 2006.
J. Sierra-Santibáñez. Propositional logic syntax acquisition using induction and self-organisation. AAAI Fall Symposium 2006 on Interaction and Emergent Phenomena in Societies of Agents. AAAI Press, pag. 74-81, 2006.
Balcázar, José L.; Casas-Garriga, Gemma. On Horn Axiomatizations for Sequential Data. 10th Intl. Conference on Database Theory, ICDT 2005. Springer Lecture Notes in Computer Science 3363, Edinburgh, Scotland, 2005.
Pujol, Josep M.; Delgado, Jordi; Sangüesa, Ramón; Flache, Andreas. The Role of Clustering on the Emergence of Efficient Social Conventions. The Nineteenth Intl. Join Conference on Artificial Intelligence. Edinburgh, Scotland, 2005.