Marta Arias
Marta Arias
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Forecasting with twitter data
M Arias, A Arratia, R Xuriguera
ACM Transactions on Intelligent Systems and Technology (TIST) 5 (1), 1-24, 2014
A deep-reinforcement learning approach for software-defined networking routing optimization
G Stampa, M Arias, D Sánchez-Charles, V Muntés-Mulero, A Cabellos
arXiv preprint arXiv:1709.07080, 2017
An approach to software testing of machine learning applications
C Murphy, GE Kaiser, M Arias
Predicting electricity distribution feeder failures using machine learning susceptibility analysis
P Gross, A Boulanger, M Arias, DL Waltz, PM Long, C Lawson, ...
AAAI, 1705-1711, 2006
Compact routing with name independence
M Arias, LJ Cowen, KA Laing, R Rajaraman, O Taka
Proceedings of the fifteenth annual ACM symposium on Parallel algorithms and …, 2003
GeoSRS: A hybrid social recommender system for geolocated data
J Capdevila, M Arias, A Arratia
Information Systems 57, 111-128, 2016
Real-time ranking with concept drift using expert advice
H Becker, M Arias
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
System and method for grading electricity distribution network feeders susceptible to impending failure
RN Anderson, A Boulanger, DL Waltz, P Long, M Arias, P Gross, H Becker, ...
US Patent 7,945,524, 2011
Challenging the generalization capabilities of graph neural networks for network modeling
J Suárez-Varela, S Carol-Bosch, K Rusek, P Almasan, M Arias, ...
Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos, 114-115, 2019
Learning Horn Expressions with LOGAN-H.
M Arias, R Khardon, J Maloberti
Journal of Machine Learning Research 8 (3), 2007
Construction and learnability of canonical Horn formulas
M Arias, JL Balcázar
Machine Learning 85 (3), 273-297, 2011
Learning closed Horn expressions
M Arias, R Khardon
Information and Computation 178 (1), 214-240, 2002
Identifiability and transportability in dynamic causal networks
G Blondel, M Arias, R Gavaldà
International journal of data science and analytics 3 (2), 131-147, 2017
Introduction to Network Dynamics
M Arias, R Ferrer-i-Cancho, A Arratia
Parameterizing random test data according to equivalence classes
C Murphy, G Kaiser, M Arias
Proceedings of the 2nd international workshop on Random testing: co-located …, 2007
Learning regulatory programs that accurately predict differential expression with MEDUSA
A Kundaje, S Lianoglou, X Li, D Quigley, M Arias, CH Wiggins, L Zhang, ...
Annals of the New York Academy of Sciences 1115 (1), 178-202, 2007
A multi-scale smoothing kernel for measuring time-series similarity
A Troncoso, M Arias, JC Riquelme
Neurocomputing 167, 8-17, 2015
Canonical Horn representations and query learning
M Arias, JL Balcázar
International Conference on Algorithmic Learning Theory, 156-170, 2009
From training to match performance: a predictive and explanatory study on novel tracking data
J Fernández, D Medina, A Gómez, M Arias, R Gavalda
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
A framework for quality assurance of machine learning applications
C Murphy, GE Kaiser, M Arias
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Artículos 1–20