Álvaro J. García-Tejedor

Orcid: 0000-0001-6458-2618

According to our database1, Álvaro J. García-Tejedor authored at least 27 papers between 1995 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Enhancing breast cancer diagnosis with deep learning and evolutionary algorithms: A comparison of approaches using different thermographic imaging treatments.
Multim. Tools Appl., April, 2024

2023
A semiautomatic method for obtaining a predictive deep learning model and a rule-based system for abdominal aortic aneurysms.
J. Intell. Inf. Syst., December, 2023

A deep learning framework for audio restoration using Convolutional/Deconvolutional Deep Autoencoders.
Expert Syst. Appl., November, 2023

A domain categorisation of vocabularies based on a deep learning classifier.
J. Inf. Sci., June, 2023

Discriminating and understanding brain states in children with epileptic spasms using deep learning and graph metrics analysis of brain connectivity.
Comput. Methods Programs Biomed., April, 2023

EEGraph: An open-source Python library for modeling electroencephalograms using graphs.
Neurocomputing, 2023

A Systematic Review of Electroencephalography Open Datasets and Their Usage With Deep Learning Models.
IEEE Access, 2023

2022
An open-source Python library for self-organizing-maps.
Softw. Impacts, 2022

GEMA: An open-source Python library for self-organizing-maps.
CoRR, 2022

BERT Learns From Electroencephalograms About Parkinson's Disease: Transformer-Based Models for Aid Diagnosis.
IEEE Access, 2022

How Do Thermography Colors Influence Breast Cancer Diagnosis? A Hybrid Model of Convolutional Networks with a Weighted Average Evolutionary Algorithm.
Proceedings of the Intelligent Systems and Applications, 2022

2021
ARQGAN: An evaluation of generative adversarial network approaches for automatic virtual inpainting restoration of Greek temples.
Expert Syst. Appl., 2021

A survey of deep learning models in medical therapeutic areas.
Artif. Intell. Medicine, 2021

2020
A light method for data generation: a combination of Markov Chains and Word Embeddings.
Proces. del Leng. Natural, 2020

Food safety risk prediction with Deep Learning models using categorical embeddings on European Union data.
CoRR, 2020

2019
Game Analytics Evidence-Based Evaluation of a Learning Game for Intellectual Disabled Users.
IEEE Access, 2019

Autonomic Management Architecture for Multi-HVAC Systems in Smart Buildings.
IEEE Access, 2019

Competencies in Higher Education: A Feature Analysis with Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization, 2019

2018
Using game learning analytics for validating the design of a learning game for adults with intellectual disabilities.
Br. J. Educ. Technol., 2018

2016
GLAID: Designing a Game Learning Analytics Model to Analyze the Learning Process in Users with Intellectual Disabilities.
Proceedings of the Serious Games, Interaction and Simulation, 2016

Downtown, a Subway Adventure: Using Learning Analytics to Improve the Development of a Learning Game for People with Intellectual Disabilities.
Proceedings of the 16th IEEE International Conference on Advanced Learning Technologies, 2016

2015
Highlights in the Literature Available in Serious Games for Intellectual Disabilities.
Proceedings of the Advances in Web-Based Learning - ICWL 2015, 2015

A Literature Review of Serious Games for Intellectual Disabilities.
Proceedings of the Design for Teaching and Learning in a Networked World, 2015

2012
Q-BAT: A Customizable Videogame for Education.
Proceedings of the CSEDU 2012, 2012

2010
Open Educational Resources in E-Learning: Standards and Environment.
Int. J. Open Source Softw. Process., 2010

2009
A Tool for Time Management in the New European Higher Education System.
Proceedings of the CSEDU 2009 - Proceedings of the First International Conference on Computer Supported Education, Lisboa, Portugal, March 23-26, 2009, 2009

1995
A Simplification of the Theory of Neural Groups Selection for Adaptive Control.
Proceedings of the Advances in Artificial Life, 1995


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