Leonardo Franco

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 36

Top Topics

Fpga Implementation

Biological Knowledge

Top Venues

Publications

Michele Pompilio, Nicole D'Aurizio, Tommaso Lisini Baldi, Leonardo Franco, Guido Gabriele, Domenico Prattichizzo
A Novel Wearable Sensing Device Enabling Remote Palpation. HAPTICS (2024)
Davide Torielli, Leonardo Franco, Maria Pozzi, Luca Muratore, Monica Malvezzi, Nikos G. Tsagarakis, Domenico Prattichizzo
Wearable Haptics for a Marionette-inspired Teleoperation of Highly Redundant Robotic Systems. ICRA (2024)
Maria Pozzi, Leonardo Franco, Zubair Iqbal, Monica Malvezzi, Domenico Prattichizzo, Gionata Salvietti
Soft Pneumatic Pads Enable New Sensing and Actuation Capabilities in Soft-Rigid Grippers. RoboSoft (2024)
Francisco J. Moreno-Barea, José M. Jerez, Nuria Ribelles, Emilio Alba, Leonardo Franco
Data Augmentation to Improve Molecular Subtype Prognosis Prediction in Breast Cancer. ICCS (6) (2024)
Leonardo Franco, Enrico Turco, Valerio Bo, Maria Pozzi, Monica Malvezzi, Domenico Prattichizzo, Gionata Salvietti
The Double-Scoop Gripper: A Tendon-Driven Soft-Rigid End-Effector for Food Handling Exploiting Constraints in Narrow Spaces. ICRA (2024)
Leonardo Franco, Tommaso Lisini Baldi, Domenico Prattichizzo, Gionata Salvietti
A Wearable Pick-By-Haptics System to Improve Manual-Picking Tasks in Warehouses. HAPTICS (2024)
Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld
Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease. ICCS (3) (2022)
Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld
Application of data augmentation techniques towards metabolomics. Comput. Biol. Medicine 148 (2022)
Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancer. ICCS (3) (2022)
Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
Data Augmentation Meta-Classifier Scheme for imbalanced data sets. SSCI (2022)
Leonardo Franco, Gionata Salvietti, Michele Pompilio, Simone Rossi, Domenico Prattichizzo
On the Somatotopic Mapping of Haptic Feedback from Robotic Supernumerary Limbs. RO-MAN (2022)
Gionata Salvietti, Leonardo Franco, Martin Tschiersky, Gerjan Wolterink, Matteo Bianchi, Antonio Bicchi, Federica Barontini, Manuel G. Catalano, Giorgio Grioli, Mattia Poggiani, Simone Rossi, Domenico Prattichizzo
Integration of a Passive Exoskeleton and a Robotic Supernumerary Finger for Grasping Compensation in Chronic Stroke Patients: The SoftPro Wearable System. Frontiers Robotics AI 8 (2021)
Cristian Rodriguez Rivero, Julián A. Pucheta, H. Daniel Patiño, Paula Otaño, Leonardo Franco, Gustavo Juárez
Short-Term Rainfall Forecasting with E-LSTM Recurrent Neural Networks Using Small Datasets. ICIC (3) (2020)
Iván Gómez, Héctor Mesa, Francisco Ortega-Zamorano, José M. Jerez-Aragonés, Leonardo Franco
Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm. Neural Comput. Appl. 32 (13) (2020)
Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
Improving classification accuracy using data augmentation on small data sets. Expert Syst. Appl. 161 (2020)
Leonardo Franco, Gionata Salvietti, Domenico Prattichizzo
Command Acknowledge through Tactile Feedback Improves the Usability of an EMG-based Interface for the Frontalis Muscle. WHC (2019)
Guillermo López-García, José M. Jerez, Leonardo Franco, Francisco J. Veredas
A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders. IWANN (1) (2019)
Daniel Urda, Francisco J. Veredas, Ignacio Turias, Leonardo Franco
Addition of Pathway-Based Information to Improve Predictions in Transcriptomics. IWBBIO (2) (2019)
Daniel Urda, Francisco Aragón, Rocío Bautista, Leonardo Franco, Francisco J. Veredas, Manuel Gonzalo Claros, José Manuel Jerez
BLASSO: integration of biological knowledge into a regularized linear model. BMC Syst. Biol. 12 (5) (2018)
Francisco J. Moreno-Barea, Fiammetta Strazzera, José M. Jerez, Daniel Urda, Leonardo Franco
Forward Noise Adjustment Scheme for Data Augmentation. SSCI (2018)
Alvaro Luis Fraga, María Guadalupe Gramajo, Federico Trejo, Selena Garcia, Gustavo Juárez, Leonardo Franco
Poster: SIMNET: Simulation-Based Exercises for Computer Network Curriculum Through Gamification and Augmented Reality. REV (2018)
Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco
Layer multiplexing FPGA implementation for deep back-propagation learning. Integr. Comput. Aided Eng. 24 (2) (2017)
Cristian Rodriguez Rivero, Yván Túpac, Julián A. Pucheta, Gustavo Juárez, Leonardo Franco, Paula Otaño
Time-series prediction with BEMCA approach: Application to short rainfall series. LA-CCI (2017)
Daniel Urda, Francisco Aragón, Leonardo Franco, Francisco J. Veredas, José M. Jerez
L_1 L 1 -regularization Model Enriched with Biological Knowledge. IWBBIO (1) (2017)
Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, José M. Jerez, Noelia Sánchez-Maroño
Machine learning models to search relevant genetic signatures in clinical context. IJCNN (2017)
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Leonardo Franco
FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm. Neural Process. Lett. 46 (3) (2017)
Daniel Urda, Leonardo Franco, José M. Jerez
Classification of high dimensional data using LASSO ensembles. SSCI (2017)
Daniel Urda, Julio Montes-Torres, Fernando Moreno, Leonardo Franco, José M. Jerez
Deep Learning to Analyze RNA-Seq Gene Expression Data. IWANN (2) (2017)
José Luis Subirats, Héctor Mesa, Francisco Ortega-Zamorano, Gustavo Juárez, José M. Jerez, Ignacio J. Turias, Leonardo Franco
Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. IWANN (1) (2017)
Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco
Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. DCAI (2016)
Jose Rodriguez-Alabarce, Francisco Ortega-Zamorano, José M. Jerez, Kusha Ghoreishi, Leonardo Franco
Thermal comfort estimation using a neurocomputational model. LA-CCI (2016)
Iván Gómez, Nuria Ribelles, Leonardo Franco, Emilio Alba, José M. Jerez
Supervised discretization can discover risk groups in cancer survival analysis. Comput. Methods Programs Biomed. 136 (2016)
Cristian Rodriguez Rivero, Julián A. Pucheta, Sergio Laboret, Vìctor Sauchelli, Alvaro David Orjuela-Cañón, Leonardo Franco
Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series. LA-CCI (2016)
Francisco Ortega-Zamorano, Marcelo A. Montemurro, Sergio Alejandro Cannas, José M. Jerez, Leonardo Franco
FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model. IEEE Trans. Parallel Distributed Syst. 27 (9) (2016)
Francisco Ortega-Zamorano, Marcelo A. Montemurro, Sergio A. Cannas, José M. Jerez, Leonardo Franco
FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model. CoRR (2016)
Francisco Ortega-Zamorano, José M. Jerez, Daniel Urda, Rafael M. Luque-Baena, Leonardo Franco
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. IEEE Trans. Neural Networks Learn. Syst. 27 (9) (2016)
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Leonardo Franco
FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms. IWANN (2) (2015)
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Jorge O. Perez, Leonardo Franco
High precision FPGA implementation of neural network activation functions. IES (2014)
Francisco Ortega-Zamorano, José M. Jerez, Leonardo Franco
FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm. IEEE Trans. Ind. Informatics 10 (2) (2014)
Francisco Ortega-Zamorano, José M. Jerez, José Luis Subirats, Ignacio Molina, Leonardo Franco
Smart sensor/actuator node reprogramming in changing environments using a neural network model. Eng. Appl. Artif. Intell. 30 (2014)
Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez
Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. CIBB (2014)
Rafael Marcos Luque Baena, Daniel Urda, M. Gonzalo Claros, Leonardo Franco, José M. Jerez
Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords. J. Biomed. Informatics 49 (2014)
Daniel Urda, Rafael Marcos Luque, María Jesús Jiménez-Come, Ignacio Turias Domínguez, Leonardo Franco, José Manuel Jerez
A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel. IWANN (1) (2013)
Daniel Urda, Nuria Ribelles, José Luis Subirats, Leonardo Franco, Emilio Alba, José Manuel Jerez
Addressing critical issues in the development of an Oncology Information System. Int. J. Medical Informatics 82 (5) (2013)
Rafael Marcos Luque Baena, Daniel Urda, José Luis Subirats, Leonardo Franco, José M. Jerez
Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. IWBBIO (2013)
Francisco Ortega-Zamorano, José Luis Subirats, José M. Jerez, Ignacio Molina, Leonardo Franco
Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller. IWANN (1) (2013)
José Luis Subirats, Rafael Marcos Luque Baena, Daniel Urda, Francisco Ortega-Zamorano, José Manuel Jerez, Leonardo Franco
Committee C-Mantec: A Probabilistic Constructive Neural Network. IWANN (1) (2013)
Daniel Urda, José Luis Subirats, Pedro J. García-Laencina, Leonardo Franco, José-Luis Sancho-Gómez, José Manuel Jerez
WIMP: Web server tool for missing data imputation. Comput. Methods Programs Biomed. 108 (3) (2012)
José Luis Subirats, Leonardo Franco, José M. Jerez
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons. Neural Networks 26 (2012)
Juan Jesús Carneros, José M. Jerez, Iván Gómez, Leonardo Franco
Data Discretization Using the Extreme Learning Machine Neural Network. ICONIP (4) (2012)
Yasel Couce, Leonardo Franco, Daniel Urda, José Luis Subirats, José M. Jerez
Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems. IWANN (2) (2011)
José M. Jerez, Ignacio Molina, Pedro J. García-Laencina, Emilio Alba, Nuria Ribelles, Miguel Martín, Leonardo Franco
Missing data imputation using statistical and machine learning methods in a real breast cancer problem. Artif. Intell. Medicine 50 (2) (2010)
Daniel Urda, José Luis Subirats, Leonardo Franco, José Manuel Jerez
Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles. IEA/AIE (1) (2010)
José Luis Subirats, José M. Jerez, Iván Gómez, Leonardo Franco
Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm. Cogn. Comput. 2 (4) (2010)
Iván Gómez, Leonardo Franco, José M. Jerez, José Luis Subirats
Extension of the Generalization Complexity Measure to Real Valued Input Data Sets. ISNN (1) (2010)
Iván Gómez, Leonardo Franco, José M. Jerez
Neural Network Architecture Selection: Can Function Complexity Help? Neural Process. Lett. 30 (2) (2009)
José Luis Subirats, José M. Jerez, Leonardo Franco
A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions. IEEE Trans. Circuits Syst. I Regul. Pap. (10) (2008)
José Luis Subirats, Leonardo Franco, Ignacio Molina Conde, José M. Jerez
Active Learning Using a Constructive Neural Network Algorithm. ICANN (2) (2008)
Leonardo Franco, Edmund T. Rolls, Nikolaos C. Aggelopoulos, José M. Jerez
Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex. Biol. Cybern. 96 (6) (2007)
Leonardo Franco, José Luis Subirats, José M. Jerez
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set. ICANN (1) (2007)
Leonardo Franco, José Luis Subirats, Ignacio Molina, Emilio Alba, José M. Jerez
Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm. IWANN (2007)
Leonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez
A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. IJCNN (2006)
Leonardo Franco, Martin Anthony
The influence of oppositely classified examples on the generalization complexity of Boolean functions. IEEE Trans. Neural Networks 17 (3) (2006)
Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez
Neural Network Architecture Selection: Size Depends on Function Complexity. ICANN (1) (2006)
José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco
Optimal Synthesis of Boolean Functions by Threshold Functions. ICANN (1) (2006)
Leonardo Franco
Generalization ability of Boolean functions implemented in feedforward neural networks. Neurocomputing 70 (1-3) (2006)
Leonardo Franco, José M. Jerez, José M. Bravo
Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks. IWANN (2005)
Leonardo Franco, José M. Jerez, Emilio Alba
Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. ESANN (2005)
Edmund T. Rolls, Nikolaos C. Aggelopoulos, Leonardo Franco, Alessandro Treves
Information encoding in the inferior temporal visual cortex: contributions of the firing rates and the correlations between the firing of neurons. Biol. Cybern. 90 (1) (2004)
José M. Jerez, Leonardo Franco, Ignacio Molina
CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. IWANN (1) (2003)
Leonardo Franco, Sergio A. Cannas
Generalization properties of modular networks: implementing the parity function. IEEE Trans. Neural Networks 12 (6) (2001)
Leonardo Franco, Sergio A. Cannas
Generalization and Selection of Examples in Feedforward Neural Networks. Neural Comput. 12 (10) (2000)
Leonardo Franco, Sergio A. Cannas
Solving arithmetic problems using feed-forward neural networks. Neurocomputing 18 (1-3) (1998)