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2020 – today
- 2023
[c24]Albert Calvo, Santiago Escuder
, Josep Escrig, Marta Arias, Nil Ortiz, Jordi Guijarro:
A Data-driven Approach for Risk Exposure Analysis in Enterprise Security. DSAA 2023: 1-9- 2021
- [i7]Jesus Antonanzas, Marta Arias, Albert Bifet:
Sketches for Time-Dependent Machine Learning. CoRR abs/2108.11923 (2021) - 2020
- [i6]Christian Lezcano, Marta Arias:
Synthetic Dataset Generation with Itemset-Based Generative Models. CoRR abs/2007.06300 (2020) - [i5]Christian Lezcano, Marta Arias:
Characterizing Transactional Databases for Frequent Itemset Mining. CoRR abs/2011.04378 (2020)
2010 – 2019
- 2019
- [c23]Christian Lezcano, Marta Arias:
Synthetic Dataset Generation with Itemset-Based Generative Models. ISSRE Workshops 2019: 288-293 - [c22]Christian Lezcano, Marta Arias:
Characterizing Transactional Databases for Frequent Itemset Mining. EDML@SDM 2019: 44-53 - [c21]José Suárez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, Albert Cabellos-Aparicio:
Challenging the generalization capabilities of Graph Neural Networks for network modeling. SIGCOMM Posters and Demos 2019: 114-115 - 2017
- [j14]Gilles Blondel, Marta Arias, Ricard Gavaldà:
Identifiability and transportability in dynamic causal networks. Int. J. Data Sci. Anal. 3(2): 131-147 (2017) - [j13]Marta Arias, José L. Balcázar, Cristina Tîrnauca:
Learning definite Horn formulas from closure queries. Theor. Comput. Sci. 658: 346-356 (2017) - [c20]Marta Arias, Argimiro Arratia, Ariel Duarte-López:
Classifier Selection with Permutation Tests. CCIA 2017: 96-105 - [i4]Giorgio Stampa, Marta Arias, David Sanchez-Charles, Victor Muntés-Mulero, Albert Cabellos:
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization. CoRR abs/1709.07080 (2017) - [i3]Marta Arias, Argimiro Arratia, Ariel Duarte-López:
Classifier Selection with Permutation Tests. CoRR abs/1711.09708 (2017) - 2016
- [j12]Joan Capdevila, Marta Arias, Argimiro Arratia:
GeoSRS: A hybrid social recommender system for geolocated data. Inf. Syst. 57: 111-128 (2016) - [c19]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 - [c18]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 - [c17]Diego García-Olano, Marta Arias, Josep Lluís Larriba-Pey:
Automated Construction and Analysis of Political Networks via Open Government and Media Sources. SoGood@ECML-PKDD 2016 - [i2]Gilles Blondel, Marta Arias, Ricard Gavaldà:
Identifiability and Transportability in Dynamic Causal Networks. CoRR abs/1610.05556 (2016) - 2015
- [j11]Alicia Troncoso Lora, Marta Arias, José C. Riquelme:
A multi-scale smoothing kernel for measuring time-series similarity. Neurocomputing 167: 8-17 (2015) - [c16]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 - [i1]Marta Arias, José L. Balcázar, Cristina Tîrnauca:
Learning Propositional Horn Formulas from Closure Queries. CoRR abs/1503.09025 (2015) - 2013
- [j10]Marta Arias, Argimiro Arratia, Ramon Xuriguera:
Forecasting with twitter data. ACM Trans. Intell. Syst. Technol. 5(1): 8:1-8:24 (2013) - 2012
- [c15]Marta Arias, Alicia Troncoso Lora, José C. Riquelme:
A Kernel for Time Series Classification: Application to Atmospheric Pollutants. SOCO 2012: 417-426 - 2011
- [j9]Marta Arias, José L. Balcázar:
Construction and learnability of canonical Horn formulas. Mach. Learn. 85(3): 273-297 (2011) - [c14]Marta Arias, Carles Creus, Adrià Gascón, Guillem Godoy:
Learning Theory through Videos - A Teaching Experience in a Theoretical Course based on Self-learning Videos and Problem-solving Sessions. CSEDU (2) 2011: 93-98 - 2010
- [c13]Antti Ukkonen, Marta Arias:
Example-dependent Basis Vector Selection for Kernel-Based Classifiers. ECML/PKDD (3) 2010: 338-353
2000 – 2009
- 2009
- [c12]Marta Arias, José L. Balcázar:
Canonical Horn Representations and Query Learning. ALT 2009: 156-170 - 2008
- [j8]Marta Arias, Lenore Cowen, Kofi A. Laing:
Compact roundtrip routing with topology-independent node names. J. Comput. Syst. Sci. 74(5): 775-795 (2008) - [c11]Marta Arias, José L. Balcázar:
Query Learning and Certificates in Lattices. ALT 2008: 303-315 - 2007
- [j7]Marta Arias, Roni Khardon, Jérôme Maloberti:
Learning Horn Expressions with LOGAN-H. J. Mach. Learn. Res. 8: 549-587 (2007) - [j6]Hila Becker, Marta Arias:
Real-time ranking of electrical feeders using expert advice. Monde des Util. Anal. Données 36: 122-128 (2007) - [c10]Hila Becker, Marta Arias:
Real-time ranking with concept drift using expert advice. KDD 2007: 86-94 - [c9]Chris Murphy, Gail E. Kaiser, Marta Arias:
An Approach to Software Testing of Machine Learning Applications. SEKE 2007: 167- - 2006
- [j5]Marta Arias, Aaron Feigelson, Roni Khardon, Rocco A. Servedio:
Polynomial certificates for propositional classes. Inf. Comput. 204(5): 816-834 (2006) - [j4]Roni Khardon, Marta Arias:
The subsumption lattice and query learning. J. Comput. Syst. Sci. 72(1): 72-94 (2006) - [j3]Marta Arias, Roni Khardon:
Complexity parameters for first order classes. Mach. Learn. 64(1-3): 121-144 (2006) - [j2]Marta Arias, Lenore Cowen, Kofi A. Laing, Rajmohan Rajaraman, Orjeta Taka:
Compact Routing with Name Independence. SIAM J. Discret. Math. 20(3): 705-726 (2006) - [c8]Philip Gross, Albert Boulanger, Marta Arias, David L. Waltz, Philip M. Long, Charles Lawson, Roger Anderson, Matthew Koenig, Mark Mastrocinque, William Fairechio, John A. Johnson, Serena Lee, Frank Doherty, Arthur Kressner:
Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis. AAAI 2006: 1705-1711 - 2004
- [c7]Marta Arias, Roni Khardon:
The Subsumption Lattice and Query Learning. ALT 2004: 410-424 - [c6]Marta Arias, Roni Khardon:
Bottom-Up ILP Using Large Refinement Steps. ILP 2004: 26-43 - 2003
- [c5]Marta Arias, Roni Khardon, Rocco A. Servedio:
Polynomial Certificates for Propositional Classes. COLT 2003: 537-551 - [c4]Marta Arias, Roni Khardon:
Complexity Parameters for First-Order Classes. ILP 2003: 22-37 - [c3]Marta Arias, Lenore Cowen, Kofi A. Laing:
Compact roundtrip routing with topology-independent node names. PODC 2003: 43-52 - [c2]Marta Arias, Lenore Cowen, Kofi A. Laing, Rajmohan Rajaraman, Orjeta Taka:
Compact routing with name independence. SPAA 2003: 184-192 - 2002
- [j1]Marta Arias, Roni Khardon:
Learning Closed Horn Expressions. Inf. Comput. 178(1): 214-240 (2002) - 2000
- [c1]Marta Arias, Roni Khardon:
A New Algorithm for Learning Range Restricted Horn Expressions. ILP 2000: 21-39
Coauthor Index
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