Nayat Sanchez-Pi

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Luis MartíInriaVerified email at inria.fr
Ana Cristina Bicharra GarciaProfessor, Universidade Federal do Estado do Rio de JaneiroVerified email at uniriotec.br
Javier CarboAssoc. Prof. CS, Univ.Carlos III de MadridVerified email at inf.uc3m.es
Javier BajoFull Professor at AI Department, Ontology Engineering Group, Director of the AI Research Center, UPMVerified email at fi.upm.es
Hernan LiraResearcher, Inria ChileVerified email at inria.cl
David Griol BarresUniversity of GranadaVerified email at go.ugr.es
Hugo Carrillo LincopiInstitute for Mathematical and Computational Engineering, Pontificia Universidad Católica de ChileVerified email at uc.cl
Luís CorreiaLASIGE and Departamento de Informática, Faculdade de Ciências, Universidade de LisboaVerified email at ciencias.ulisboa.pt
Marley VellascoPontifícia Universidade Católica do Rio de JaneiroVerified email at ele.puc-rio.br
Vera Maria Benjamim WerneckUERJVerified email at ime.uerj.br
Eleni ManginaVP(International) College of Science, Professor of Computer Science, University College DublinVerified email at ucd.ie
Pablo A. Estevez, IEEE FellowDepartment of Electrical Engineering, University of ChileVerified email at cec.uchile.cl
Manuel Pérez-CarrascoUniversidad de ConcepciónVerified email at inf.udec.cl
Francisco FörsterProfessor, Data and Artificial Intelligence Initiative (ID&IA), University of ChileVerified email at uchile.cl
Susana EyheramendyProfessor of Statistics, U Adolfo IbañezVerified email at uai.cl
Guillermo Cabrera-VivesDepartment of Computer Science, University of ConcepciónVerified email at udec.cl
Luiz André Portes Paes LemeUniversidade Federal FluminenseVerified email at ic.uff.br
Jacques Sainte-Mariedirecteur de recherche, inriaVerified email at inria.fr
Adriana S. VivacquaDepartamento de Ciência da Computação, Universidade Federal do Rio de JaneiroVerified email at dcc.ufrj.br
Emma HartEdinburgh Napier UniversityVerified email at napier.ac.uk

Nayat Sanchez-Pi

Director of the Inria Research Center in Chile/ CEO of Inria Chile

Verified email at inria.fr - Homepage

Artificial Intelligence Machine Learning Ambient Intelligence Human-Computer Interaction


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Anomaly detection based on sensor data in petroleum industry applications L Martí, N Sanchez-Pi, JM Molina, ACB Garcia Sensors 15 (2), 2774-2797, 2015	221	2015
Hybrid neural intelligent system to predict business failure in small-to-medium-size enterprises ML Borrajo, B Baruque, E Corchado, J Bajo, JM Corchado International journal of neural systems 21 (04), 277-296, 2011	124	2011
Searching for changing-state agns in massive data sets. i. applying deep learning and anomaly-detection techniques to find agns with anomalous variability behaviors P Sánchez-Sáez, H Lira, L Martí, N Sanchez-Pi, J Arredondo, FE Bauer, ... The Astronomical Journal 162 (5), 206, 2021	58	2021
Multi-agent simulations for emergency situations in an airport scenario. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal (ISSN: 2255-2863) AC Bicharra, N Sanchez-Pi, L Correia, JM Molina Salamanca 1 (3), 2012	55*	2012
Improving ontology-based text classification: An occupational health and security application N Sanchez-Pi, L Martí, ACB Garcia Journal of Applied Logic 17, 48-58, 2016	53	2016
A knowledge-based system approach for a context-aware system N Sánchez-Pi, J Carbó, JM Molina Knowledge-Based Systems 27, 1-17, 2012	53	2012
Text classification techniques in oil industry applications N Sanchez-Pi, L Martí, ACB Garcia International Joint Conference SOCO’13-CISIS’13-ICEUTE’13: Salamanca, Spain …, 2014	42	2014
Crowd-based ambient assisted living to monitor the elderly’s health outdoors ACB Garcia, AS Vivacqua, N Sánchez-Pi, L Martí, JM Molina IEEE Software 34 (6), 53-57, 2017	32	2017
Knowledge-based system to define context in commercial applications N Sánchez-Pi, V Fuentes, J Carbó, JM Molina Eighth ACIS International Conference on Software Engineering, Artificial …, 2007	25	2007
A graph neural network with spatio-temporal attention for multi-sources time series data: An application to frost forecast H Lira, L Martí, N Sanchez-Pi Sensors 22 (4), 1486, 2022	24	2022
Assessing physics informed neural networks in ocean modelling and climate change applications T de Wolff, H Carrillo, L Martí, N Sanchez-Pi AI: Modeling Oceans and Climate Change Workshop at ICLR 2021, 2021	24	2021
Towards optimally weighted physics-informed neural networks in ocean modelling T de Wolff, H Carrillo, L Martí, N Sanchez-Pi arXiv preprint arXiv:2106.08747, 2021	22	2021
Agent-based simulation with NetLogo to evaluate ambient intelligence scenarios J Carbó, N Sanchez-Pi, JM Molina Journal of Simulations 1 (1), 1-10, 2018	21	2018
A multi‐agent approach for provisioning of e‐services in u‐commerce environments N Sanchez‐Pi, J Manuel Molina Internet Research 20 (3), 276-295, 2010	19	2010
A centralized approach to an ambient assisted living application: An intelligent home N Sánchez-Pi, JM Molina Distributed Computing, Artificial Intelligence, Bioinformatics, Soft …, 2009	19	2009
Jade/leap agents in an AmI domain N Sánchez-Pi, J Carbó, JM Molina International Workshop on Hybrid Artificial Intelligence Systems, 62-69, 2008	16	2008
On the combination of support vector machines and segmentation algorithms for anomaly detection: A petroleum industry comparative study L Martí, N Sanchez-Pi, JMM López, ACB Garcia Journal of Applied Logic, 2017	15	2017
Reputation in User Profiling for a Context-aware MultiAgent System. V Fuentes, N Sanchez-Pi, J Carbo, JM Molina EUMAS- Europeean Conference on Artificial Intelligence, 2006	14	2006
High-level information fusion for risk and accidents prevention in pervasive oil industry environments N Sanchez-Pi, L Martí, JM Molina, AC Bicharra Garcia Highlights of Practical Applications of Heterogeneous Multi-Agent Systems …, 2014	13	2014
YASA: yet another time series segmentation algorithm for anomaly detection in big data problems L Martí, N Sanchez-Pi, JM Molina, AC Bicharra Garcia Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS …, 2014	13	2014

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