Sfoglia per Autore "Barbero Aparicio, José Antonio"

⚠️ RIUBU ESTÁ CAMBIANDO DE VERSIÓN. DEBIDO A ESTAS TAREAS DE ACTUALIZACIÓN, LA PLATAFORMA NO PERMITE TEMPORALMENTE EL DEPÓSITO DE NUEVOS TRABAJOS. ¡DISCULPEN LAS MOLESTIAS, VOLVEREMOS A ESTAR OPERATIVOS MUY PRONTO!

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Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques

Barbero Aparicio, José Antonio ; Olivares Gil, Alicia ; Rodríguez Diez, Juan José ; García Osorio, César ; Diez Pastor, José Francisco
(2024-02, Elsevier)

Artículo
Automatic Generation of Moodle Cloze Questions for the Assessment of Knowledge About Lexical Analysis Algorithms

Izquierdo Amo, Roberto; Barbero Aparicio, José Antonio ; Garrido Labrador, José Luis ; Olivares Gil, Alicia ; García Osorio, César
(2025-01, MDPI)

Artículo
CamPype: an open-source workflow for automated bacterial whole-genome sequencing analysis focused on Campylobacter

Ortega Sanz, Irene; Barbero Aparicio, José Antonio ; Canepa Oneto, Antonio Jesús ; Rovira Carballido, Jordi ; Melero Gil, Beatriz
(2023-07, Springer)

Artículo
Deep learning and support vector machines for transcription start site identification

Barbero Aparicio, José Antonio ; Olivares Gil, Alicia ; Diez Pastor, José Francisco ; García Osorio, César
(2023-04, PeerJ)

Artículo
An Extensive Performance Comparison between Feature Reduction and Feature Selection Preprocessing Algorithms on Imbalanced Wide Data

Ramos Pérez, Ismael ; Barbero Aparicio, José Antonio ; Canepa Oneto, Antonio Jesús ; Arnaiz González, Álvar ; Maudes Raedo, Jesús M.
(2024-04, MDPI)

Artículo
Generación automática de preguntas cloze para cuestionarios Moodle sobre análisis léxico

Izquierdo Amo, Roberto; García Osorio, César ; Latorre Carmona, Pedro ; Barbero Aparicio, José Antonio
(2021-07, Asociación de Enseñantes Universitarios de la Informática)

Contribución a congreso
Machine Learning Approaches in Bioinformatics: Advances in Transcription and Protein Fitness Prediction

Barbero Aparicio, José Antonio
(2023)

Tesis doctoral
Nonlinear physics opens a new paradigm for accurate transcription start site prediction

Barbero Aparicio, José Antonio ; Cuesta López, Santiago ; García Osorio, César ; Pérez-Rodríguez, Javier; García-Pedrajas, Nicolás
(2022-12, Springer Nature)

Artículo
Semi-supervised prediction of protein fitness for data-driven protein engineering

Olivares Gil, Alicia ; Barbero Aparicio, José Antonio ; Rodríguez Diez, Juan José ; Diez Pastor, José Francisco ; García Osorio, César ; Davari, Mehdi D.
(2025-12, BioMed Central)

Artículo
Unveiling the Differences in Early Performance Prediction Between Online Social Sciences and STEM Courses Using Educational Data Mining

Marticorena Sánchez, Raúl ; Canepa Oneto, Antonio Jesús ; López Nozal, Carlos ; Barbero Aparicio, José Antonio
(2025-03, Wiley)

Artículo

Sfoglia per Autore "Barbero Aparicio, José Antonio"

Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques ﻿

Automatic Generation of Moodle Cloze Questions for the Assessment of Knowledge About Lexical Analysis Algorithms ﻿

CamPype: an open-source workflow for automated bacterial whole-genome sequencing analysis focused on Campylobacter ﻿

Deep learning and support vector machines for transcription start site identification ﻿

An Extensive Performance Comparison between Feature Reduction and Feature Selection Preprocessing Algorithms on Imbalanced Wide Data ﻿

Generación automática de preguntas cloze para cuestionarios Moodle sobre análisis léxico ﻿

Machine Learning Approaches in Bioinformatics: Advances in Transcription and Protein Fitness Prediction ﻿

Nonlinear physics opens a new paradigm for accurate transcription start site prediction ﻿

Semi-supervised prediction of protein fitness for data-driven protein engineering ﻿

Unveiling the Differences in Early Performance Prediction Between Online Social Sciences and STEM Courses Using Educational Data Mining ﻿

Addressing data scarcity in protein fitness landscape analysis: A study on semi-supervised and deep transfer learning techniques

Automatic Generation of Moodle Cloze Questions for the Assessment of Knowledge About Lexical Analysis Algorithms

CamPype: an open-source workflow for automated bacterial whole-genome sequencing analysis focused on Campylobacter

Deep learning and support vector machines for transcription start site identification

An Extensive Performance Comparison between Feature Reduction and Feature Selection Preprocessing Algorithms on Imbalanced Wide Data

Generación automática de preguntas cloze para cuestionarios Moodle sobre análisis léxico

Machine Learning Approaches in Bioinformatics: Advances in Transcription and Protein Fitness Prediction

Nonlinear physics opens a new paradigm for accurate transcription start site prediction

Semi-supervised prediction of protein fitness for data-driven protein engineering

Unveiling the Differences in Early Performance Prediction Between Online Social Sciences and STEM Courses Using Educational Data Mining