Francisco Javier Martínez de Pisón

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 13

Top Topics

Spatial Clustering With Obstacles Constraints

Particle Swarm Optimization

Power Consumption

Top Venues

Publications

Jose Divasón, Ana Romero, Francisco Javier Martínez de Pisón, Matías Casalongue, Miguel A. Silvestre, Pilar Santolaria, Jesús Yániz
Analysis of Varroa Mite Colony Infestation Level Using New Open Software Based on Deep Learning Techniques. Sensors 24 (12) (2024)
Jose Divasón, Francisco Javier Martínez de Pisón, Ana Romero, Pilar Santolaria, Jesús Yániz
Varroa Mite Detection Using Deep Learning Techniques. HAIS (2023)
Jose Divasón, Francisco Javier Martínez de Pisón, Ana Romero, Eduardo Sáenz-de-Cabezón
Robustness Analysis of a Methodology to Detect Biases, Inconsistencies and Discrepancies in the Evaluation Process. CISIS-ICEUTE (2023)
Jose Divasón, Julio Fernández-Ceniceros, Andrés Sanz-García, Alpha V. Pernía-Espinoza, Francisco Javier Martínez de Pisón
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 548 (2023)
Eduardo Dulce-Chamorro, Francisco Javier Martínez de Pisón
Parsimonious Modelling for Estimating Hospital Cooling Demand to Improve Energy Efficiency. Log. J. IGPL 30 (4) (2022)
Julio Fernández-Ceniceros, Andrés Sanz-García, Alpha V. Pernía-Espinoza, Francisco Javier Martínez de Pisón
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. HAIS (2021)
Francisco Javier Martínez de Pisón, Javier Ferreiro-Cabello, Esteban Fraile-Garcia, Alpha V. Pernía-Espinoza
A comparative study of six model complexity metrics to search for parsimonious models with GAparsimony R Package. Neurocomputing 452 (2021)
Francisco Javier Martínez de Pisón, Rubén Urraca, Héctor Quintián, Emilio Corchado
Editorial: Special issue HAIS17-IGPL. Log. J. IGPL 28 (2) (2020)
Eduardo Dulce, Francisco Javier Martínez de Pisón
Parsimonious Modeling for Estimating Hospital Cooling Demand to Reduce Maintenance Costs and Power Consumption. HAIS (2019)
Rubén Urraca, Javier Antoñanzas-Torres, Andrés Sanz-García, Alvaro Aldama, Francisco Javier Martínez de Pisón
An Algorithm Based on Satellite Observations to Quality Control Ground Solar Sensors: Analysis of Spanish Meteorological Networks. HAIS (2018)
Francisco Javier Martínez de Pisón, Ruben Gonzalez-Sendino, Javier Ferreiro-Cabello, Esteban Fraile-Garcia, Alpha V. Pernía-Espinoza
GAparsimony: An R Package for Searching Parsimonious Models by Combining Hyperparameter Optimization and Feature Selection. HAIS (2018)
Javier Antoñanzas, Rubén Urraca, Alpha V. Pernía-Espinoza, Alvaro Aldama, Luis Alfredo Fernández-Jiménez, Francisco Javier Martínez de Pisón
Single and Blended Models for Day-Ahead Photovoltaic Power Forecasting. HAIS (2017)
Francisco Javier Martínez de Pisón, Ruben Gonzalez-Sendino, Alvaro Aldama, Javier Ferreiro-Cabello, Esteban Fraile-Garcia
Hybrid Methodology Based on Bayesian Optimization and GA-PARSIMONY for Searching Parsimony Models by Combining Hyperparameter Optimization and Feature Selection. HAIS (2017)
Pablo Guillén, Miguel Argáez, J. Barrera, Leticia Velázquez, Francisco Javier Martínez de Pisón
Data mining in the process of localization and classification of subcorticals structures. EATIS (2012)
Pablo Guillén, Francisco Javier Martínez de Pisón, Reinaldo Sanchez-Arias, Miguel Argáez, Leticia Velázquez
Characterization of subcortical structures during deep brain stimulation utilizing support vector machines. EMBC (2011)