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Isis Bonet
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2020 – today
- 2024
- [c19]Carolina Castaño, Isis Bonet, Joseph Pinto, Jhajaira Araujo:
Predictive Biomarkers in PD-1/PD-L1 Immunotherapy Response: A Machine Learning Approach Using Gene Sequencing Data. BIOSTEC (1) 2024: 379-390 - [c18]Isis Bonet, Mario Gongora, Fernando Acevedo, Ivan Ochoa:
Deep Learning Model to Predict the Ripeness of Oil Palm Fruit. ICAART (3) 2024: 1068-1075 - [i1]Juan F. Pérez-Pérez, Pablo Isaza Gómez, Isis Bonet, María Solange Sánchez-Pinzón, Fabio Caraffini, Christian Lochmuller:
Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multicriteria Decision-Making Approach. CoRR abs/2404.16055 (2024) - 2023
- [c17]Alejandro Peña, Alejandro Puerta, Isis Bonet, Fabio Caraffini, Mario Gongora, Ivan Ochoa:
A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops. EvoApplications@EvoStar 2023: 491-506 - [c16]Alejandro Puerta, Santiago Horacio Hoyos, Isis Bonet, Fabio Caraffini:
An AI-Based Support System for Microgrids Energy Management. EvoApplications@EvoStar 2023: 507-518 - [c15]Juan F. Pérez-Pérez, Isis Bonet Cruz, María Solange Sánchez-Pinzón, Fabio Caraffini, Christian Lochmuller:
Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning. ISTAS 2023: 1-8 - 2021
- [j9]Isis Bonet, Alejandro Peña, Christian Lochmuller, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora:
Applying fuzzy scenarios for the measurement of operational risk. Appl. Soft Comput. 112: 107785 (2021) - 2020
- [c14]Isis Bonet, Fabio Caraffini, Alejandro Peña, Alejandro Puerta, Mario Gongora:
Oil Palm Detection via Deep Transfer Learning. CEC 2020: 1-8
2010 – 2019
- 2019
- [j8]Alejandro Peña, Isis Bonet, Christian Lochmuller, Marta S. Tabares, Carlos C. Piedrahita, Carmen C. Sánchez, Lillyana María Giraldo Marín, Mario Gongora, Francisco Chiclana:
A fuzzy ELECTRE structure methodology to assess big data maturity in healthcare SMEs. Soft Comput. 23(20): 10537-10550 (2019) - [c13]Isis Bonet, Alejandro Peña, Christian Lochmuller, Alejandro Patino, Mario Gongora:
Deep Clustering for Metagenomics. CIBB 2019: 335-347 - 2018
- [j7]Alejandro Peña, Isis Bonet, Christian Lochmuller, Francisco Chiclana, Mario Gongora:
Flexible inverse adaptive fuzzy inference model to identify the evolution of operational value at risk for improving operational risk management. Appl. Soft Comput. 65: 614-631 (2018) - [j6]Alejandro Peña, Isis Bonet, Christian Lochmuller, Francisco Chiclana, Mario Gongora:
An integrated inverse adaptive neural fuzzy system with Monte-Carlo sampling method for operational risk management. Expert Syst. Appl. 98: 11-26 (2018) - [j5]Isis Bonet, Widerman Montoya, Andrea Mesa Múnera, Juan Fernando Alzate:
Recursive Clustering Using Different Features Sets for Metagenomic Data. J. Comput. 13(8): 905-912 (2018) - [j4]Alejandro Peña, Isis Bonet, Christian Lochmuller, Héctor Alejandro Patiño, Francisco Chiclana, Mario Gongora:
A fuzzy credibility model to estimate the Operational Value at Risk using internal and external data of risk events. Knowl. Based Syst. 159: 98-109 (2018) - 2016
- [c12]Isis Bonet, Adriana Escobar, Andrea Mesa Múnera, Juan Fernando Alzate:
Consensus Clustering for Binning Metagenome Sequences. MICAI (2) 2016: 273-284 - 2014
- [j3]Antonio Moran Cardenas, Javier G. Rázuri, Isis Bonet, Rahim Rahmani, David Sundgren:
Design of High Accuracy Tracking Systems with H∞ Preview Control. Polibits 50: 21-28 (2014) - [c11]Isis Bonet, Widerman Montoya, Andrea Mesa Múnera, Juan Fernando Alzate:
Iterative Clustering Method for Metagenomic Sequences. MIKE 2014: 145-154 - 2013
- [j2]Isel Grau, Gonzalo Nápoles, Isis Bonet, María M. García:
Algoritmo de retropropagación a través de tiempo para el aprendizaje de redes neuronales recurrentes usando instancias de longitud variable. Computación y Sistemas 17(1) (2013) - [j1]Isis Bonet, Pedro Franco-Montero, Virginia Rivero, Marta Teijeira, Fernanda Borges, Eugenio Uriarte, Aliuska Morales Helguera:
Classifier Ensemble Based on Feature Selection and Diversity Measures for Predicting the Affinity of A2B Adenosine Receptor Antagonists. J. Chem. Inf. Model. 53(12): 3140-3155 (2013) - [c10]Isis Bonet, Abdel Rodríguez, Isel Grau:
Bidirectional Recurrent Neural Networks for Biological Sequences Prediction. MICAI (2) 2013: 139-149 - 2011
- [c9]Isis Bonet, Abdel Rodríguez, Ricardo Grau Ábalo, María M. García:
Ensemble of Classifiers Based on Hard Instances. MCPR 2011: 67-74
2000 – 2009
- 2008
- [c8]Isis Bonet, Abdel Rodríguez, Ricardo Grau Ábalo, María M. García, Yvan Saeys, Ann Nowé:
Comparing Distance Measures with Visual Methods. MICAI 2008: 90-99 - [c7]Maikel León, Isis Bonet, María M. García, Zoila Zenaida García:
Combining Concept Maps and Petri Nets to Generate Intelligent Tutoring Systems: A Possible Approach. MICAI 2008: 797-805 - 2007
- [c6]Isis Bonet, María M. García, Yvan Saeys, Yves Van de Peer, Ricardo Grau Ábalo:
Predicting Human Immunodeficiency Virus (HIV) Drug Resistance Using Recurrent Neural Networks. IWINAC (1) 2007: 234-243 - 2006
- [c5]Isis Bonet, Yvan Saeys, Ricardo Grau Ábalo, María M. García, Robersy Sanchez, Yves Van de Peer:
Feature Extraction Using Clustering of Protein. CIARP 2006: 614-623 - [c4]Ricardo Grau Ábalo, María del Carmen Chávez, Robersy Sanchez, Eberto Morgado, Gladys Casas, Isis Bonet:
Boolean Algebraic Structures of the Genetic Code: Possibilities of Applications. KDECB 2006: 10-21 - 2005
- [c3]Leticia Arco, Isis Bonet, Lourdes García Ávila, Jorge Marx Gómez, Claus Rautenstrauch:
A New Approach to Solve Data Defects in Material Flow Networks. EnviroInfo 2005: 724-731 - [c2]Leticia Arco García, Jorge Marx Gómez, Claus Rautenstrauch, Isis Bonet, Lourdes García Ávila:
A New Approach to Solve Data Defects in Material Flow Networks. ITEE 2005: 515-524 - 2002
- [c1]Isis Bonet Cruz, Adolfo Díaz Sardiñas, Rafael Bello Pérez, Yanetsy Sardiñas Oliva:
Learning Optimization in a MLP Neural Network Applied to OCR. MICAI 2002: 292-300
Coauthor Index
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last updated on 2024-10-07 22:21 CEST by the dblp team
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