Leonardo Franco Ruiz es Catedrático en el Departamento de Lenguajes y Ciencias de la Computación de la Universidad de Málaga. Sus líneas de investigación principales incluyen redes neuronales artificiales, aprendizaje automático, y aplicaciones de la inteligencia artificial en biomedicina y ciencias sociales.
Redes Neuronales (Grado en Ingeniería Informática)
Aprendizaje Automático (Máster en Ingeniería Informática)
Inteligencia Artificial Avanzada (Doctorado en Informática)
Efficient thermal comfort estimation employing the C-Mantec constructive neural network model
Soft Computing • 2025
Data Augmentation to improve molecular subtype prognosis prediction in breast cancer
International Conference on Computational Science, Springer • 2024
Desarrollo de técnicas de aumento de datos para la aplicación de aprendizaje profundo en problemas de bioinformática
Universidad de Málaga - Programa de Doctorado en Tecnologías Informáticas • 2023
Efficient thermal comfort estimation employing the C-Mantec constructive neural network model
Soft Computing • 2025
Data Augmentation to improve molecular subtype prognosis prediction in breast cancer
International Conference on Computational Science, Springer • 2024
Desarrollo de técnicas de aumento de datos para la aplicación de aprendizaje profundo en problemas de bioinformática
Universidad de Málaga - Programa de Doctorado en Tecnologías Informáticas • 2023
Data Augmentation techniques to improve metabolomic analysis in Niemann-Pick type C disease
International Conference on Computational Science, Springer • 2022
Gan-based Data Augmentation for prediction improvement using gene expression data in cancer
International Conference on Computational Science, Springer • 2022
Application of Data Augmentation techniques towards metabolomics
Computers in Biology and Medicine • 2022
Data Augmentation Meta-Classifier Scheme for imbalanced data sets
2022 IEEE Symposium Series on Computational Intelligence (SSCI) • 2022
Improving classification accuracy using Data Augmentation on small data sets
Expert Systems with Applications • 2020
Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm
Neural Computing and Applications • 2020
Forward noise adjustment scheme for Data Augmentation
2018 IEEE Symposium Series on Computational Intelligence (SSCI) • 2018
FPGA implementation of neurocomputational models: comparison between standard Back-Propagation and C-Mantec constructive algorithm
Neural Processing Letters • 2017
Layer Multiplexing FPGA Implementation for Deep Back-Propagation Learning
Integrated Computer-Aided Engineering • 2017
Solving Scheduling Problems with Genetic Algorithms using a Priority Encoding Scheme
Lecture Notes in Computer Science • 2017
FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model
IEEE Transactions on Parallel and Distributed Systems • 2016
Efficient implementation of the Backpropagation algorithm in FPGAs and microcontrollers
IEEE Transactions on Neural Networks and Learning Systems • 2016
Thermal comfort estimation using a neurocomputational model
2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI) • 2016
Deep Neural Network Architecture implementation on FPGAs using a Layer Multiplexing Scheme
Advances in Intelligent Systems and Computing • 2016
FPGA implementation comparison between C-Mantec and Back-Propagation neural network algorithms
Lecture Notes in Computer Science • 2015
Smart sensor/actuator node reprogramming in changing environments using a neural network model
Engineering Applications of Artificial Intelligence • 2014
FPGA implementation of the C-Mantec Constructive Neural Network Algorithm
IEEE Transactions on Industrial Informatics • 2014
High Precision FPGA Implementation of Neural Network Activation Function
Proceedings of the IEEE Symposium Series on Computational Intelligence (SSCI'2014) • 2014
Implementación en FPGA de dos algoritmos de aprendizaje de redes neuronales
CASE (SASE) • 2014
Committee C-Mantec: A Probabilistic Constructive Neural Network
Lecture Notes in Computer Science • 2013
Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller
Lecture Notes in Computer Science • 2013