Isis Bonet
Isis Bonet
Universidad EIA
Verified email at
Cited by
Cited by
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
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
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
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
RFID technology in health care
JE Camacho-Cogollo, I Bonet, E Iadanza
Clinical Engineering Handbook, 33-41, 2020
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
Oil palm detection via deep transfer learning
I Bonet, F Caraffini, A Pena, A Puerta, M Gongora
2020 IEEE congress on evolutionary computation (CEC), 1-8, 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
Classifier Ensemble Based on Feature Selection and Diversity Measures for Predicting the Affinity of A2B 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
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
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
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
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
Modelo para la clasificación de secuencias, en problemas de la bioinformática, usando técnicas de inteligencia artificial
I Bonet
Ciencias de la Computacion, 2008
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
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
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
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
Machine learning for prediction of HIV drug resistance: a review
I Bonet
Current Bioinformatics 10 (5), 579-585, 2015
Design of high accuracy tracking systems with H∞ preview control
A Moran Cardenas, JG Rázuri, I Bonet, R Rahmani, D Sundgren
Polibits, 21-28, 2014
The system can't perform the operation now. Try again later.
Articles 1–20