Francisco Javier
Martínez de Pisón Ascacíbar
CATEDRÁTICO DE UNIVERSIDAD
Universidad de Salamanca
Salamanca, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Salamanca (20)
2024
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Evolution of Technical Projects with Social Commitment in Degrees of Industrial Engineering
Towards a Hybrid, Flexible and Socially Engaged Higher Education
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Evolution of Technical Projects with Social Commitment in Degrees of Industrial Engineering
Lecture Notes in Networks and Systems
2023
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PSO-PARSIMONY: A method for finding parsimonious and accurate machine learning models with particle swarm optimization. Application for predicting force–displacement curves in T-stub steel connections
Neurocomputing, Vol. 548
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Preface
Lecture Notes in Networks and Systems
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Preface
Lecture Notes in Networks and Systems
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Preface
Lecture Notes in Networks and Systems
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Preface
Lecture Notes in Networks and Systems
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Work-in-Progress: Building Up Employability Skills and Social Responsibility in the University of La Rioja Industrial Engineering Degrees
Lecture Notes in Networks and Systems
2022
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Efectos de la pandemia en metodologías de aprendizaje activo. Medidas de fortalecimiento
La innovación como motor para la transformación de la enseñanza universitaria (Universidad de La Rioja), pp. 51-62
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Fortaleciendo el aprendizaje activo en tiempos de pandemia
Jornada de Innovación docente de la Universidad de La Rioja 2021: #InnovaDocenteUR: libro de resúmenes
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021
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Active learning methodologies in STEM degrees jeopardized by COVID19
IEEE Global Engineering Education Conference, EDUCON
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Editorial: Special issue HAIS17-IGPL
Logic Journal of the IGPL
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PSO-PARSIMONY: A New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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PSO-PARSIMONY: a New Methodology for Searching for Accurate and Parsimonious Models with Particle Swarm Optimization. Application for Predicting the Force-Displacement Curve in T-stub Steel Connections
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings
2020
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Technical projects with social commitment for teaching-learning intervention in STEM students
IEEE Global Engineering Education Conference, EDUCON
2019
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Analysis of Spanish Radiometric Networks with the Novel Bias-Based Quality Control (BQC) Method
Sensors (Basel, Switzerland), Vol. 19, Núm. 11
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Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference – Editorial
Neurocomputing
2017
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Preface
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)