Marta Arias

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Roni KhardonProfessor of Computer Science, Indiana University, BloomingtonVerified email at iu.edu
Jose L. BalcazarProfessor, Computer Science, Universitat Politècnica de CatalunyaVerified email at upc.edu
Lenore J. CowenProfessor of Computer Science, Tufts UniversityVerified email at cs.tufts.edu
Gail KaiserProfessor of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Phil Grossformer PhD candidate, Columbia University, currently at GoogleVerified email at cs.columbia.edu
Albert BoulangerSenior Data Architect, Department of Neurology, Columbia UniversityVerified email at ldeo.columbia.edu
Ricard GavaldàUniversitat Politècnica de CatalunyaVerified email at cs.upc.edu
Ramon Ferrer i CanchoUniversitat Politecnica de CatalunyaVerified email at cs.upc.edu
Philip LongGoogleVerified email at google.com
Rajmohan RajaramanProfessor of Computer Science, Northeastern UniversityVerified email at ccs.neu.edu
Chris H WigginsAssociate Professor, Columbia UniversityVerified email at columbia.edu
Steve LianoglouBioinformatics Scientist, Denali TherapeuticsVerified email at dnli.com
Joan Capdevila PujolUniversitat Politècnica de CatalunyaVerified email at ac.upc.edu
José C. RiquelmeUniversidad de SevillaVerified email at us.es
Rocco Anthony ServedioDepartment of Computer Science, Columbia UniversityVerified email at cs.columbia.edu
Anshul KundajeAssistant Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityVerified email at stanford.edu
Christina LeslieMemorial Sloan-Kettering Cancer CenterVerified email at cbio.mskcc.org
Cristina TirnaucaLecturer, Universidad de CantabriaVerified email at unican.es
Josep L. Larriba-PeyUniversitat Politècnica de CatalunyaVerified email at ac.upc.edu
Antti UkkonenSpeechly & University of HelsinkiVerified email at helsinki.fi

Marta Arias

Associate Professor, Universitat Politècnica de Catalunya

Verified email at lsi.upc.edu - Homepage

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Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Forecasting with twitter data M Arias, A Arratia, R Xuriguera ACM Transactions on Intelligent Systems and Technology (TIST) 5 (1), 1-24, 2014	178	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	97	2017
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	79	2006
Compact routing with name independence M Arias, LJ Cowen, KA Laing, R Rajaraman, O Taka SIAM Journal on Discrete Mathematics 20 (3), 705-726, 2006	74	2006
An approach to software testing of machine learning applications C Murphy, GE Kaiser, M Arias	56	2007
Real-time ranking with concept drift using expert advice H Becker, M Arias Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	41	2007
GeoSRS: A hybrid social recommender system for geolocated data J Capdevila, M Arias, A Arratia Information Systems 57, 111-128, 2016	40	2016
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	37	2011
Learning Horn Expressions with LOGAN-H. M Arias, R Khardon, J Maloberti Journal of Machine Learning Research 8 (3), 2007	36	2007
Construction and learnability of canonical Horn formulas M Arias, JL Balcázar Machine Learning 85 (3), 273-297, 2011	31	2011
Learning closed Horn expressions M Arias, R Khardon Information and Computation 178 (1), 214-240, 2002	27	2002
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	21	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	18	2007
Canonical Horn representations and query learning M Arias, JL Balcázar International Conference on Algorithmic Learning Theory, 156-170, 2009	13	2009
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	12	2017
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	10	2019
Characterizing chronic disease and polymedication prescription patterns from electronic health records M Zamora, M Baradad, E Amado, S Cordomí, E Limón, J Ribera, M Arias, ... 2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015	10	2015
Polynomial certificates for propositional classes M Arias, A Feigelson, R Khardon, RA Servedio Information and Computation 204 (5), 816-834, 2006	9	2006
Learning definite Horn formulas from closure queries M Arias, JL Balcázar, C Tîrnăucă Theoretical Computer Science 658, 346-356, 2017	8	2017
A multi-scale smoothing kernel for measuring time-series similarity A Troncoso, M Arias, JC Riquelme Neurocomputing 167, 8-17, 2015	8	2015

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