Isis Bonet

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Citations	584	356
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Alejandro PeñaEAFIT UniversityVerified email at eafit.edu.co
Prof. M.A. GongoraDe Montfort UniversityVerified email at dmu.ac.uk
Maria Matilde Garcia LorenzoFull Professor, Universidad Central "Marta Abreu" de Las VillasVerified email at uclv.edu.cu
Ricardo GrauEmeritus Professor. Universidad Central "Marta Abreu" de Las Villas.Verified email at uclv.edu.cu
Francisco ChiclanaProfessor of Computational Intelligence and Decision Making, De Montfort University, UKVerified email at dmu.ac.uk
Fabio CaraffiniSwansea UniversityVerified email at swansea.ac.uk
Antonio MoranRobotics and Control Engineering Professor, Pontifical Catholic Universty of PeruVerified email at pucp.edu.pe
Aron LarssonStockholm University, Mid Sweden UniversityVerified email at preference.nu
Rahim RahmaniProfessor in Computer Science at Stockholm UniversityVerified email at dsv.su.se
Rafael BelloProfessor of Computer Science, Universidad Central "Marta Abreu" de Las VillasVerified email at uclv.edu.cu
Ernesto Iadanza, PhDSenior Assistant Professor (tenure-track), Department of Medical Biotechnologies - University ofVerified email at unisi.it
Juan F. AlzateUniversidad de AntioquiaVerified email at udea.edu.co
Yvan SaeysVIB - Ghent UniversityVerified email at ugent.be
Yves Van de PeerProfessor in Bioinformatics and Genome Biology, Ghent University, BelgiumVerified email at psb.ugent.be
Isel GrauAssistant Professor at Eindhoven University of TechnologyVerified email at tue.nl
Javier E. CamachoUniversidad EIAVerified email at eia.edu.co
Humbert G. DíazIKERBASQUE Prof. Univ. of Basque Country UPV/EHUVerified email at ehu.es
Marta S.Tabares (https://orcid.org/000...Professor of System Engineering, EAFIT UniversityVerified email at eafit.edu.co
Robersy SanchezPennsylvania State UniversityVerified email at psu.edu
Maikel Leon EspinosaUniversity of MiamiVerified email at miami.edu

Isis Bonet

Universidad EIA

Verified email at eia.edu.co

artificial intelligence bioinformatics big data data analytics


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ANN-QSAR model for selection of anticancer leads from structurally heterogeneous series of compounds H González-Díaz, I Bonet, C Terán, E De Clercq, R Bello, MM García, ... European journal of medicinal chemistry 42 (5), 580-585, 2007	80	2007
Speech emotion recognition in emotional feedbackfor human-robot interaction JG Rázuri, D Sundgren, R Rahmani, A Moran, I Bonet, A Larsson International Journal of Advanced Research in Artificial Intelligence …, 2015	75	2015
An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management A Peña, I Bonet, C Lochmuller, F Chiclana, M Góngora Expert Systems with Applications 98, 11-26, 2018	35	2018
Predicting human immunodeficiency virus (HIV) drug resistance using recurrent neural networks I Bonet, MM García, Y Saeys, Y Van de Peer, R Grau International Work-Conference on the Interplay Between Natural and …, 2007	35	2007
RFID technology in health care JE Camacho-Cogollo, I Bonet, E Iadanza Clinical Engineering Handbook, 33-41, 2020	26	2020
Oil palm detection via deep transfer learning I Bonet, F Caraffini, A Peña, A Puerta, M Gongora 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020	25	2020
Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management A Peña, I Bonet, C Lochmuller, F Chiclana, M Góngora Applied Soft Computing 65, 614-631, 2018	25	2018
Redes neuronales recurrentes para el análisis de secuencias IB Cruz, SS Martínez, AR Abed, RG Ábalo, MMG Lorenzo Revista Cubana de Ciencias Informáticas 1 (4), 48-57, 2007	24	2007
Classifier Ensemble Based on Feature Selection and Diversity Measures for Predicting the Affinity of A_2B Adenosine Receptor Antagonists I Bonet, P Franco-Montero, V Rivero, M Teijeira, F Borges, E Uriarte, ... Journal of chemical information and modeling 53 (12), 3140-3155, 2013	22	2013
Backpropagation through time algorithm for training recurrent neural networks using variable length instances I Grau, G Nápoles, I Bonet, MM García Computación y Sistemas 17 (1), 15-24, 2013	20	2013
A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events A Peña, I Bonet, C Lochmuller, HA Patiño, F Chiclana, M Góngora Knowledge-Based Systems 159, 98-109, 2018	18	2018
Recognition of emotions by the emotional feedback through behavioral human poses JF Guerrero Rázuri, A Larsson, D Sundgren, I Bonet, A Moran International Journal of Computer Science Issues 12 (1), 7-17, 2015	17	2015
A fuzzy ELECTRE structure methodology to assess big data maturity in healthcare SMEs A Peña, I Bonet, C Lochmuller, MS Tabares, CC Piedrahita, CC Sánchez, ... Soft Computing 23, 10537-10550, 2019	15	2019
Validation of convolutional layers in deep learning models to identify patterns in multispectral images A Peña, I Bonet, D Manzur, M Góngora, F Caraffini 2019 14th Iberian Conference on Information Systems and Technologies (CISTI …, 2019	13	2019
Comparing distance measures with visual methods I Bonet, A Rodríguez, R Grau, MM García, Y Saez, A Nowé MICAI 2008: Advances in Artificial Intelligence: 7th Mexican International …, 2008	13	2008
Modelo para la clasificación de secuencias, en problemas de la bioinformática, usando técnicas de inteligencia artificial I Bonet Ciencias de la Computacion, 2008	13	2008
Applying fuzzy scenarios for the measurement of operational risk I Bonet, A Peña, C Lochmuller, HA Patiño, F Chiclana, M Gongora Applied Soft Computing 112, 107785, 2021	12	2021
Machine learning for prediction of HIV drug resistance: a review I Bonet Current Bioinformatics 10 (5), 579-585, 2015	12	2015
Feature extraction using clustering of protein I Bonet, Y Saeys, RG Ábalo, MM García, R Sanchez, Y Van de Peer Progress in Pattern Recognition, Image Analysis and Applications: 11th …, 2006	11	2006
Machine learning models for early prediction of sepsis on large healthcare datasets JE Camacho-Cogollo, I Bonet, B Gil, E Iadanza Electronics 11 (9), 1507, 2022	10	2022

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