Learning Optimization in a MLP Neural Network Applied to OCR. - Isis Bonet Cruz; Adolfo Díaz Sardiñas; Rafael Bello Pérez; Yanetsy Sardiñas Oliva (MICAI, 2002)

A New Approach to Solve Data Defects in Material Flow Networks. - Leticia Arco; Isis Bonet; Lourdes García Ávila; Jorge Marx Gómez; Claus Rautenstrauch (EnviroInfo, 2005)

Feature Extraction Using Clustering of Protein. - Isis Bonet; Yvan Saeys; Ricardo Grau Ábalo; María M. García; Robersy Sanchez; Yves Van de Peer (CIARP, 2006)

Boolean Algebraic Structures of the Genetic Code: Possibilities of Applications. - Ricardo Grau Ábalo; María del Carmen Chávez; Robersy Sanchez; Eberto Morgado; Gladys Casas; Isis Bonet (KDECB, 2006)

Predicting Human Immunodeficiency Virus (HIV) Drug Resistance Using Recurrent Neural Networks. - Isis Bonet; María M. García; Yvan Saeys; Yves Van de Peer; Ricardo Grau Ábalo (IWINAC (1), 2007)

Comparing Distance Measures with Visual Methods. - Isis Bonet; Abdel Rodríguez; Ricardo Grau Ábalo; María M. García; Yvan Saeys; Ann Nowé (MICAI, 2008)

Combining Concept Maps and Petri Nets to Generate Intelligent Tutoring Systems: A Possible Approach. - Maikel León; Isis Bonet; María M. García; Zoila Zenaida García (MICAI, 2008)

Ensemble of Classifiers Based on Hard Instances. - Isis Bonet; Abdel Rodríguez; Ricardo Grau Ábalo; María M. García (MCPR, 2011)

Bidirectional Recurrent Neural Networks for Biological Sequences Prediction. - Isis Bonet; Abdel Rodríguez; Isel Grau (MICAI (2), 2013)

Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variable. - Isel Grau; Gonzalo Nápoles; Isis Bonet; María M. García (Computación y Sistemas, 2013)

Classifier Ensemble Based on Feature Selection and Diversity Measures for Predicting the Affinity of A2B Adenosine Receptor Antagonists. - Isis Bonet; Pedro Franco-Montero; Virginia Rivero; Marta Teijeira; Fernanda Borges; Eugenio Uriarte; Aliuska Morales Helguera (J. Chem. Inf. Model., 2013)

Iterative Clustering Method for Metagenomic Sequences. - Isis Bonet; Widerman Montoya; Andrea Mesa Múnera; Juan Fernando Alzate (MIKE, 2014)

Design of High Accuracy Tracking Systems with H∞ Preview Control. - Antonio Moran Cardenas; Javier G. Rázuri; Isis Bonet; Rahim Rahmani; David Sundgren (Polibits, 2014)

Consensus Clustering for Binning Metagenome Sequences. - Isis Bonet; Adriana Escobar; Andrea Mesa Múnera; Juan Fernando Alzate (MICAI (2), 2016)

Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Francisco Chiclana; Mario Gongora 001 (Appl. Soft Comput., 2018)

An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Francisco Chiclana; Mario Gongora 001 (Expert Syst. Appl., 2018)

Recursive Clustering Using Different Features Sets for Metagenomic Data. - Isis Bonet; Widerman Montoya; Andrea Mesa Múnera; Juan Fernando Alzate (J. Comput., 2018)

A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Héctor Alejandro Patiño; Francisco Chiclana; Mario Gongora 001 (Knowl. Based Syst., 2018)

Deep Clustering for Metagenomics. - Isis Bonet; Alejandro Peña; Christian Lochmuller; Alejandro Patino 001; Mario Gongora 001 (CIBB, 2019)

A fuzzy ELECTRE structure methodology to assess big data maturity in healthcare SMEs. - Alejandro Peña; Isis Bonet; Christian Lochmuller; Marta S. Tabares; Carlos C. Piedrahita; Carmen C. Sánchez; Lillyana María Giraldo Marín; Mario Gongora 001; Francisco Chiclana (Soft Comput., 2019)

Oil Palm Detection via Deep Transfer Learning. - Isis Bonet; Fabio Caraffini; Alejandro Peña; Alejandro Puerta; Mario Gongora 001 (CEC, 2020)

Applying fuzzy scenarios for the measurement of operational risk. - Isis Bonet; Alejandro Peña; Christian Lochmuller; Héctor Alejandro Patiño; Francisco Chiclana; Mario Gongora 001 (Appl. Soft Comput., 2021)

A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops. - Alejandro Peña; Alejandro Puerta; Isis Bonet; Fabio Caraffini; Mario Gongora 001; Ivan Ochoa (EvoApplications@EvoStar, 2023)

An AI-Based Support System for Microgrids Energy Management. - Alejandro Puerta; Santiago Horacio Hoyos; Isis Bonet; Fabio Caraffini (EvoApplications@EvoStar, 2023)

Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning. - Juan F. Pérez-Pérez; Isis Bonet Cruz; María Solange Sánchez-Pinzón; Fabio Caraffini; Christian Lochmuller (ISTAS, 2023)

Predictive Biomarkers in PD-1/PD-L1 Immunotherapy Response: A Machine Learning Approach Using Gene Sequencing Data. - Carolina Castaño; Isis Bonet; Joseph Pinto; Jhajaira Araujo (BIOSTEC (1), 2024)

Deep Learning Model to Predict the Ripeness of Oil Palm Fruit. - Isis Bonet; Mario Gongora 001; Fernando Acevedo; Ivan Ochoa (ICAART (3), 2024)

Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach. - Juan F. Pérez-Pérez; Pablo Isaza Gómez; Isis Bonet; María Solange Sánchez-Pinzón; Fabio Caraffini; Christian Lochmuller (CoRR, 2024)

Enhancing Object Manipulation and Transportation in Multi-Robot Systems with Soft Gripper Integration and Caging-Based Control. - Juan C. Tejada; Alejandro Toro-Ossaba; María A. López-Quintero; David Rozo-Osorio; Alexandro López-González; Eduardo Gamaliel Hernández-Martínez; Mario Gongora 001; Isis Bonet Cruz (J. Intell. Robotic Syst., 2025)