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José Alberto Benítez-Andrades
PeerJ Editor, Author & Reviewer
3,580 Points

Contributions by role

Author 135
Reviewer 105
Editor 3,340

Contributions by subject area

Artificial Intelligence
Data Mining and Machine Learning
Data Science
Natural Language and Speech
Text Mining
Computational Linguistics
Computer Vision
Programming Languages
Network Science and Online Social Networks
Sentiment Analysis
Algorithms and Analysis of Algorithms
Digital Libraries
Neural Networks
Emerging Technologies
Human-Computer Interaction
Mobile and Ubiquitous Computing
Theory and Formal Methods
Autonomous Systems
Social Computing
Computer Architecture
Adaptive and Self-Organizing Systems
Bioinformatics
Optimization Theory and Computation
Computer Education
Databases
Software Engineering

José Alberto Benítez-Andrades

PeerJ Editor, Author & Reviewer

Summary

Jose Alberto Benítez-Andrades received the B.S. degree in Computer Engineering and PhD in Production Engineering and Computing from the University of León, Spain, in 2010 and 2017 respectively. He is Associate Professor at the University of León. His research is related to the application of artificial intelligence techniques, knowledge engineering and social network analysis applied mainly to problems related to the field of health. He has more than 40 publications indexed in JCR, 30 communications in international conferences, is associate editor of the journal BMC Medical Informatics and Decision Making, has organized several international conferences since 2018 and is an evaluator of international projects for the government of Spain and Peru.

Artificial Intelligence COVID-19 Epidemiology Global Health Natural Language & Speech Network Science & Online Social Networks Public Health

Editorial Board Member

PeerJ Computer Science

Past or current institution affiliations

Universidad de León

Work details

Associate Professor

Universidad de León
February 2014
Electric, Systems and Automatics Engineering

Identities

@jabenitez88

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 3
  • Edited 23
  • Reviewed 2
July 30, 2025
Classification of psychiatry clinical notes by diagnosis: a deep learning and machine learning approach
Sergio Rubio-Martín, María Teresa García-Ordás, Antonio Serrano-García, Clara Margarita Franch-Pato, Arturo Crespo-Álvaro, José Alberto Benítez-Andrades
https://doi.org/10.7717/peerj-cs.3045
December 8, 2023
Survival and grade of the glioma prediction using transfer learning
Santiago Valbuena Rubio, María Teresa García-Ordás, Oscar García-Olalla Olivera, Héctor Alaiz-Moretón, Maria-Inmaculada González-Alonso, José Alberto Benítez-Andrades
https://doi.org/10.7717/peerj-cs.1723
March 1, 2022
Detecting racism and xenophobia using deep learning models on Twitter data: CNN, LSTM and BERT
José Alberto Benítez-Andrades, Álvaro González-Jiménez, Álvaro López-Brea, Jose Aveleira-Mata, José-Manuel Alija-Pérez, María Teresa García-Ordás
https://doi.org/10.7717/peerj-cs.906

Academic Editor on

July 25, 2025
An enhanced approach for automatic annotation of error codes based on Seq2edit
Jian Wang, Tao Lin, Rongsen Zhao, Huiling Zhao
https://doi.org/10.7717/peerj-cs.3024
July 11, 2025
Generating, retrieving persona and generating responses for long-term open-domain dialogue
Dohyun Cha, Dawon Lee, Jihie Kim
https://doi.org/10.7717/peerj-cs.2979
June 18, 2025
A new approach of anomaly detection in shopping center surveillance videos for theft prevention based on RLCNN model
Muhammad Sajid, Ali Haider Khan, Kaleem Razzaq Malik, Javed Ali Khan, Ayed Alwadain
https://doi.org/10.7717/peerj-cs.2944
April 25, 2025
Social-aware trajectory prediction using goal-directed attention networks with egocentric vision
Lia Astuti, Chui-Hong Chiu, Yu-Chen Lin, Ming-Chih Lin
https://doi.org/10.7717/peerj-cs.2842
April 7, 2025
Comparison of deep learning models in automatic classification of coffee bean species
Adem Korkmaz, Tarık Talan, Selahattin Koşunalp, Teodor Iliev
https://doi.org/10.7717/peerj-cs.2759
March 24, 2025
Transformer-based ensemble model for dialectal Arabic sentiment classification
Omar Mansour, Eman Aboelela, Remon Talaat, Mahmoud Bustami
https://doi.org/10.7717/peerj-cs.2644
February 17, 2025
A multi-scale CNN with atrous spatial pyramid pooling for enhanced chest-based disease detection
Muhammad Abdullah Shah Bukhari, Faisal Bukhari, Muhammad Asif, Hanan Aljuaid, Waheed Iqbal
https://doi.org/10.7717/peerj-cs.2686
December 23, 2024
Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction
Wesam Ibrahim Hajim, Suhaila Zainudin, Kauthar Mohd Daud, Khattab Alheeti
https://doi.org/10.7717/peerj-cs.2520
November 26, 2024
A novel deep neural network-based technique for network embedding
Sabrina Benbatata, Bilal Saoud, Ibraheem Shayea, Naif Alsharabi, Abdulraqeb Alhammadi, Ali Alferaidi, Amr Jadi, Yousef Ibrahim Daradkeh
https://doi.org/10.7717/peerj-cs.2489
November 19, 2024
Slovak morphological tokenizer using the Byte-Pair Encoding algorithm
Dávid Držík, Frantisek Forgac
https://doi.org/10.7717/peerj-cs.2465
November 13, 2024
Novel statistically equivalent signature-based hybrid feature selection and ensemble deep learning LSTM and GRU for chronic kidney disease classification
Yogesh N, Purohit Shrinivasacharya, Nagaraj Naik
https://doi.org/10.7717/peerj-cs.2467
October 1, 2024
Relation semantic fusion in subgraph for inductive link prediction in knowledge graphs
Hongbo Liu, Jicang Lu, Tianzhi Zhang, Xuemei Hou, Peng An
https://doi.org/10.7717/peerj-cs.2324
September 24, 2024
Exploring the synergy of guided numeric and text analysis in e-commerce: a comprehensive investigation into univariate and multivariate distributions
Athapol Ruangkanjanases, Taqwa Hariguna
https://doi.org/10.7717/peerj-cs.2288
September 23, 2024
Tone classification of online medical services based on 1DCNN-BiLSTM
Cheng Huang, Peng Xie, Chunming Wu, Xiaojuan Liu, Lin Zhang
https://doi.org/10.7717/peerj-cs.2325
August 19, 2024
Joint coordinate attention mechanism and instance normalization for COVID online comments text classification
Rong Zhu, Hua-Hui Gao, Yong Wang
https://doi.org/10.7717/peerj-cs.2240
May 15, 2024
ShallowBKGC: a BERT-enhanced shallow neural network model for knowledge graph completion
Ningning Jia, Cuiyou Yao
https://doi.org/10.7717/peerj-cs.2058
April 17, 2024
Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model
Mohamed Zul Fadhli Khairuddin, Suresh Sankaranarayanan, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Rosidah Omar
https://doi.org/10.7717/peerj-cs.1985
March 29, 2024
Self-distillation framework for document-level relation extraction in low-resource environments
Hao Wu, Gang Zhou, Yi Xia, Hongbo Liu, Tianzhi Zhang
https://doi.org/10.7717/peerj-cs.1930
March 27, 2024
Detecting cyberbullying using deep learning techniques: a pre-trained glove and focal loss technique
Amr Mohamed El Koshiry, Entesar Hamed I. Eliwa, Tarek Abd El-Hafeez, Marwa Khairy
https://doi.org/10.7717/peerj-cs.1961
January 5, 2024
Enhanced industrial text classification via hyper variational graph-guided global context integration
Geng Zhang, Jianpeng Hu
https://doi.org/10.7717/peerj-cs.1788
January 3, 2024
Contradiction in text review and apps rating: prediction using textual features and transfer learning
Turki Aljrees, Muhammad Umer, Oumaima Saidani, Latifah Almuqren, Abid Ishaq, Shtwai Alsubai, Ala’ Abdulmajid Eshmawi, Imran Ashraf
https://doi.org/10.7717/peerj-cs.1722
October 20, 2023
Challenges and opportunities for Arabic question-answering systems: current techniques and future directions
Asmaa Alrayzah, Fawaz Alsolami, Mostafa Saleh
https://doi.org/10.7717/peerj-cs.1633
July 14, 2023
Detection of railway catenary insulator defects based on improved YOLOv5s
Jing Tang, Minghui Yu, Minghu Wu
https://doi.org/10.7717/peerj-cs.1474

Signed reviews submitted for articles published in PeerJ Note that some articles may not have the review itself made public unless authors have made them open as well.

January 31, 2024
Using Bidirectional Encoder Representations from Transformers (BERT) to predict criminal charges and sentences from Taiwanese court judgments
Yi-Ting Peng, Chin-Laung Lei
https://doi.org/10.7717/peerj-cs.1841
July 24, 2023
On solving textual ambiguities and semantic vagueness in MRC based question answering using generative pre-trained transformers
Muzamil Ahmed, Hikmat Khan, Tassawar Iqbal, Fawaz Khaled Alarfaj, Abdullah Alomair, Naif Almusallam
https://doi.org/10.7717/peerj-cs.1422