Marta Arias

According to our database, Marta Arias authored at least 37 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

A Data-driven Approach for Risk Exposure Analysis in Enterprise Security.

Albert Calvo, Santiago Escuder, Josep Escrig, Marta Arias, Nil Ortiz, Jordi Guijarro

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

2021

Sketches for Time-Dependent Machine Learning.

Jesus Antonanzas, Marta Arias, Albert Bifet

CoRR, 2021

2019

Challenging the generalization capabilities of Graph Neural Networks for network modeling.

José Suárez-Varela, Sergi Carol-Bosch, Krzysztof Rusek, Paul Almasan, Marta Arias, Pere Barlet-Ros, Albert Cabellos-Aparicio

Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 2019

Characterizing Transactional Databases for Frequent Itemset Mining.

Christian Lezcano, Marta Arias

Proceedings of the 1st Workshop on Evaluation and Experimental Design in Data Mining and Machine Learning co-located with SIAM International Conference on Data Mining (SDM 2019), 2019

Synthetic Dataset Generation with Itemset-Based Generative Models.

Christian Lezcano, Marta Arias

Proceedings of the IEEE International Symposium on Software Reliability Engineering Workshops, 2019

2017

Learning definite Horn formulas from closure queries.

Marta Arias, José L. Balcázar, Cristina Tîrnauca

Theor. Comput. Sci., 2017

Identifiability and transportability in dynamic causal networks.

Gilles Blondel, Marta Arias, Ricard Gavaldà

Int. J. Data Sci. Anal., 2017

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization.

Giorgio Stampa, Marta Arias, David Sanchez-Charles, Victor Muntés-Mulero, Albert Cabellos

CoRR, 2017

Classifier Selection with Permutation Tests.

Marta Arias, Argimiro Arratia, Ariel Duarte-López

Proceedings of the Recent Advances in Artificial Intelligence Research and Development, 2017

2016

GeoSRS: A hybrid social recommender system for geolocated data.

Joan Capdevila, Marta Arias, Argimiro Arratia

Inf. Syst., 2016

Automated Construction and Analysis of Political Networks via Open Government and Media Sources.

Diego García-Olano, Marta Arias, Josep Lluís Larriba-Pey

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, 2016

Does Training Affect Match Performance? A Study Using Data Mining And Tracking Devices.

Javier Fernández, Daniel Medina, Antonio Gómez, Marta Arias, Ricard Gavaldà

Proceedings of the Workshop on Machine Learning and Data Mining for Sports Analytics 2016 co-located with the 2016 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2016

From Training to Match Performance: A Predictive and Explanatory Study on Novel Tracking Data.

Javier Fernández, Daniel Medina, Antonio Gómez, Marta Arias, Ricard Gavaldà

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

A multi-scale smoothing kernel for measuring time-series similarity.

Alicia Troncoso Lora, Marta Arias, José C. Riquelme

Neurocomputing, 2015

Learning Propositional Horn Formulas from Closure Queries.

Marta Arias, José L. Balcázar, Cristina Tîrnauca

CoRR, 2015

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

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2013

Forecasting with twitter data.

Marta Arias, Argimiro Arratia, Ramon Xuriguera

ACM Trans. Intell. Syst. Technol., 2013

2012

A Kernel for Time Series Classification: Application to Atmospheric Pollutants.

Marta Arias, Alicia Troncoso Lora, José C. Riquelme

Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

2011

Construction and learnability of canonical Horn formulas.

Marta Arias, José L. Balcázar

Mach. Learn., 2011

Learning Theory through Videos - A Teaching Experience in a Theoretical Course based on Self-learning Videos and Problem-solving Sessions.

Marta Arias, Carles Creus, Adrià Gascón, Guillem Godoy

Proceedings of the CSEDU 2011, 2011

2010

Example-dependent Basis Vector Selection for Kernel-Based Classifiers.

Antti Ukkonen, Marta Arias

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

2009

Canonical Horn Representations and Query Learning.

Marta Arias, José L. Balcázar

Proceedings of the Algorithmic Learning Theory, 20th International Conference, 2009

2008

Compact roundtrip routing with topology-independent node names.

Marta Arias, Lenore Cowen, Kofi A. Laing

J. Comput. Syst. Sci., 2008

Query Learning and Certificates in Lattices.

Marta Arias, José L. Balcázar

Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008

2007

Real-time ranking of electrical feeders using expert advice.

Hila Becker, Marta Arias

Monde des Util. Anal. Données, 2007

Learning Horn Expressions with LOGAN-H.

Marta Arias, Roni Khardon, Jérôme Maloberti

J. Mach. Learn. Res., 2007

An Approach to Software Testing of Machine Learning Applications.

Chris Murphy, Gail E. Kaiser, Marta Arias

Proceedings of the Nineteenth International Conference on Software Engineering & Knowledge Engineering (SEKE'2007), 2007

Real-time ranking with concept drift using expert advice.

Hila Becker, Marta Arias

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

2006

Compact Routing with Name Independence.

Marta Arias, Lenore Cowen, Kofi A. Laing, Rajmohan Rajaraman, Orjeta Taka

SIAM J. Discret. Math., 2006

Complexity parameters for first order classes.

Marta Arias, Roni Khardon

Mach. Learn., 2006

The subsumption lattice and query learning.

Roni Khardon, Marta Arias

J. Comput. Syst. Sci., 2006

Polynomial certificates for propositional classes.

Marta Arias, Aaron Feigelson, Roni Khardon, Rocco A. Servedio

Inf. Comput., 2006

Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis.

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

Proceedings of the Proceedings, 2006

2004

Bottom-Up ILP Using Large Refinement Steps.

Marta Arias, Roni Khardon

Proceedings of the Inductive Logic Programming, 14th International Conference, 2004

2003

Polynomial Certificates for Propositional Classes.

Marta Arias, Roni Khardon, Rocco A. Servedio

Proceedings of the Computational Learning Theory and Kernel Machines, 2003

2002

Learning Closed Horn Expressions.

Marta Arias, Roni Khardon

Inf. Comput., 2002

2000

A New Algorithm for Learning Range Restricted Horn Expressions.

Marta Arias, Roni Khardon

Proceedings of the Inductive Logic Programming, 10th International Conference, 2000