Marta Arias

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Roni KhardonProfessor of Computer Science, Indiana University, BloomingtonVerifierad e-postadress på iu.edu
Ramon Ferrer i Cancho (0000-0002-7...Universitat Politecnica de Catalunya (RoR: 03mb6wj31). Barcelona, SpainVerifierad e-postadress på cs.upc.edu
Jose L. BalcazarProfessor, Computer Science, Universitat Politècnica de CatalunyaVerifierad e-postadress på upc.edu
Gail KaiserProfessor of Computer Science, Columbia UniversityVerifierad e-postadress på columbia.edu
Lenore J. CowenProfessor of Computer Science, Tufts UniversityVerifierad e-postadress på cs.tufts.edu
Ricard GavaldàUniversitat Politècnica de Catalunya + Amalfi AnalyticsVerifierad e-postadress på cs.upc.edu
Phil Grossformer PhD candidate, Columbia University, currently at GoogleVerifierad e-postadress på cs.columbia.edu
Albert BoulangerSenior Data Architect, Department of Neurology, Columbia UniversityVerifierad e-postadress på ldeo.columbia.edu
Rajmohan RajaramanProfessor of Computer Science, Northeastern UniversityVerifierad e-postadress på ccs.neu.edu
José C. RiquelmeUniversidad de SevillaVerifierad e-postadress på us.es
Joan Capdevila PujolUniversitat Politècnica de CatalunyaVerifierad e-postadress på ac.upc.edu
Chris H WigginsAssociate Professor, Columbia UniversityVerifierad e-postadress på columbia.edu
Steve LianoglouGenomic Data Scientist at largeVerifierad e-postadress på aratus.bio
Anshul KundajeAssociate Professor, Dept. of Genetics, Dept. of Computer Science, Stanford UniversityVerifierad e-postadress på stanford.edu
Christina LeslieMemorial Sloan Kettering Cancer CenterVerifierad e-postadress på mskcc.org
Cristina TirnaucaLecturer, Universidad de CantabriaVerifierad e-postadress på unican.es
Antti UkkonenSpeechly & University of HelsinkiVerifierad e-postadress på helsinki.fi
Philip Long
Adrià RecasensResearch Scientist, DeepMindVerifierad e-postadress på google.com

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Marta Arias

Associate Professor, Universitat Politècnica de Catalunya

Verifierad e-postadress på lsi.upc.edu - Startsida

Artificial Intelligence Algorithms


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Forecasting with twitter data M Arias, A Arratia, R Xuriguera ACM Transactions on Intelligent Systems and Technology (TIST) 5 (1), 1-24, 2014	286	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	233	2017
An approach to software testing of machine learning applications C Murphy, GE Kaiser, M Arias	101	2007
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	93	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	79	2003
GeoSRS: A hybrid social recommender system for geolocated data J Capdevila, M Arias, A Arratia Information Systems 57, 111-128, 2016	67	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	45	2007
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	44	2019
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	44	2011
Learning Horn Expressions with LOGAN-H. M Arias, R Khardon, J Maloberti Journal of Machine Learning Research 8 (3), 2007	40	2007
Construction and learnability of canonical Horn formulas M Arias, JL Balcázar Machine Learning 85 (3), 273-297, 2011	35	2011
Learning closed Horn expressions M Arias, R Khardon Information and Computation 178 (1), 214-240, 2002	31	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	28	2017
Introduction to Network Dynamics M Arias, R Ferrer-i-Cancho, A Arratia	25	2020
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	24	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	20	2007
A multi-scale smoothing kernel for measuring time-series similarity A Troncoso, M Arias, JC Riquelme Neurocomputing 167, 8-17, 2015	16	2015
Canonical Horn representations and query learning M Arias, JL Balcázar International Conference on Algorithmic Learning Theory, 156-170, 2009	15	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	13	2016
A framework for quality assurance of machine learning applications C Murphy, GE Kaiser, M Arias	12	2006

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