David F Nettleton

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Ricardo Baeza-YatesNortheastern Univ. - Univ. Pompeu Fabra - Univ. de Chile; USA, Spain & ChileVerified email at upf.edu
Vicenç TorraProfessor, Department of Computing Science, Umeå University, SwedenVerified email at cs.umu.se
Maria Beatrice ColtelliDipartimento di Ingegneria Civile ed Industriale, Università di PisaVerified email at unipi.it
Albert Orriols PuigGoogleVerified email at salle.url.edu
Albert FornellsResearch Group in Applied Data Analytics and ModelingVerified email at iqs.url.edu
Liliana Calderón-BenavidesProfesor titular UNABVerified email at unab.edu.co
Julián SalasInternet Interdisciplinary Institute (IN3) at Universitat Oberta de Catalunya (UOC)Verified email at uoc.edu
Vladimir Estivill-CastroProfessor of Computer ScienceVerified email at upf.edu
Mari-Carmen MarcosProfessor of Information and Libray Sciences, Universitat Pompeu FabraVerified email at upf.edu
Diego Saez-TrumperWikimedia FoundationVerified email at upf.edu
Lorena RecaldeLecturer and Researcher, National Polytechnic SchoolVerified email at epn.edu.ec
Anton DriesNokia Bell LabsVerified email at nokia-bell-labs.com
Hector BeckProfesor Asociado, Universidad de Tarapacá, Arica ChileVerified email at uta.cl
Dimitrios KatsantonisVerified email at cerealinstitute.gr
Roberto ConfalonieriUniversità degli Studi di MilanoVerified email at unimi.it
Daniel AbrilIIIA-CSICVerified email at iiia.csic.es
Ludovico BorattoResearcher, University of CagliariVerified email at unica.it
Enrique Hernandez-JimenezLoopdx and IdibellVerified email at loopdx.com
Karina GibertFull professor at Universitat Politècnica de Catalunya-BarcelonaTechVerified email at upc.edu
Barbara PobleteAssociate Professor Department of Computer Science, University of Chile - Amazon Visiting AcademicVerified email at dcc.uchile.cl

David F Nettleton

IRIS Technology Solutions / Universitat Pompeu Fabra

Verified email at upf.edu - Homepage

industrial data modeling social network analysis data privacy machine learning artificial intelligence


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A study of the effect of different types of noise on the precision of supervised learning techniques DF Nettleton, A Orriols-Puig, A Fornells Artificial Intelligence Review 33 (4), 275-306, 2010	450	2010
Bio-based packaging: Materials, modifications, industrial applications and sustainability CL Reichert, E Bugnicourt, MB Coltelli, P Cinelli, A Lazzeri, I Canesi, ... Polymers 12 (7), 1558, 2020	220	2020
Data mining of social networks represented as graphs DF Nettleton Computer Science Review 7, 1-34, 2013	170	2013
Commercial Data Mining: Processing, Analysis and Modeling for Predictive Analytics Projects DF Nettleton Elsevier, 2014	124	2014
Selection of variables and factor derivation D Nettleton Commercial Data Mining, 79-104, 2014	94	2014
Predicting rice blast disease: machine learning versus process-based models DF Nettleton, D Katsantonis, A Kalaitzidis, N Sarafijanovic-Djukic, ... BMC bioinformatics 20, 1-16, 2019	50	2019
A comparison of active set method and genetic algorithm approaches for learning weighting vectors in some aggregation operators DF Nettleton, V Torra International journal of intelligent systems 16 (9), 1069-1083, 2001	47	2001
Review on the photonic techniques suitable for automatic monitoring of the composition of multi-materials wastes in view of their posterior recycling C Araujo-Andrade, E Bugnicourt, L Philippet, L Rodríguez-Turienzo, ... Waste Management & Research, 2021	41	2021
Processing and representation of meta-data for sleep apnea diagnosis with an artificial intelligence approach DF Nettleton, J Muñiz International Journal of Medical Informatics 63 (1-2), 77-89, 2001	33	2001
Análisis de datos comerciales DF Nettleton Ediciones Díaz de Santos, 2003	28	2003
Analysis of web search engine query session and clicked documents D Nettleton, L Calderón-Benavides, R Baeza-Yates Advances in Web Mining and Web Usage Analysis 4811, 207-226, 2007	24	2007
A data driven anonymization system for information rich online social network graphs DF Nettleton, J Salas Expert Systems with Applications 55, 87-105, 2016	23	2016
A synthetic data generator for online social network graphs DF Nettleton Social Network Analysis and Mining 6, 1-33, 2016	20	2016
Técnicas para el análisis de datos clínicos DF Nettleton Ediciones Díaz de Santos, 2005	20*	2005
Web retrieval: Techniques for the aggregation and selection of queries and answers D Nettleton, R Baeza‐Yates International Journal of Intelligent Systems 23 (12), 1223-1234, 2008	17	2008
Analysis of Web Search Engine Query Sessions DF Nettleton, L Calderón-Benavides, R Baeza-Yates WebKDD 2006: KDD Workshop on Web Mining and Web Usage Analysis, in …, 2006	15*	2006
Commercial data mining CRM, customer relationship management and analysis D Nettleton Chapter 13, 195-208, 2014	14	2014
High Correlation between Incoming and Outgoing Activity: A Distinctive Property of Online Social Networks? D Saez-Trumper, DF Nettleton, RA Baeza-Yates Fifth International AAAI Conference on Weblogs and Social Media, ICWSM 2011., 2011	14	2011
Generating synthetic online social network graph data and topologies DF Nettleton 3rd workshop on graph-based technologies and applications (graph-TA), UPC …, 2015	12	2015
Detection of trending topic communities: Bridging content creators and distributors L Recalde, DF Nettleton, R Baeza-Yates, L Boratto Proceedings of the 28th ACM Conference on Hypertext and Social Media, 205-213, 2017	11	2017

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