Leonardo Franco

90 papers A* 2B 5C 2Misc 3Journal 31Unranked 37
YearRankTypeTitle / Venue / Authors
2025 C conf
A Forearm-Worn Haptic Device for Integrated Tactile and Kinaesthetic Feedback via Skin Stretch.
ISM
Selin Nur Özsert, Daniel Rodriguez-Guevara, Leonardo Franco, Wenxuan Wei, Eckehard G. Steinbach, Domenico Prattichizzo
2025 J jnl
Computational science: Guiding the way towards a sustainable society.
J. Comput. Sci.
Sergey V. Kovalchuk, Clélia de Mulatier, Valeria V. Krzhizhanovskaya, Leonardo Franco, Maciej Paszynski, Jack J. Dongarra, Peter M. A. Sloot
2025 J jnl
Efficient thermal comfort estimation employing the C-Mantec constructive neural network model.
Soft Comput.
Francisco Ortega-Zamorano, José M. Jerez, Jose Rodriguez-Alabarce, Kusha Ghoreishi, Leonardo Franco
2025 J jnl
Wearable Haptics for a Marionette-inspired Teleoperation of Highly Redundant Robotic Systems.
CoRR
Davide Torielli, Leonardo Franco, Maria Pozzi, Luca Muratore, Monica Malvezzi, Nikolaos G. Tsagarakis, Domenico Prattichizzo
2024 — conf
A Novel Wearable Sensing Device Enabling Remote Palpation.
HAPTICS
Michele Pompilio, Nicole D'Aurizio, Tommaso Lisini Baldi, Leonardo Franco, Guido Gabriele, Domenico Prattichizzo
2024 — conf
A Wearable Pick-By-Haptics System to Improve Manual-Picking Tasks in Warehouses.
HAPTICS
Leonardo Franco, Tommaso Lisini Baldi, Domenico Prattichizzo, Gionata Salvietti
2024 — ed.
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part I
ICCS (1)
Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
2024 — ed.
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part II
ICCS (2)
Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
2024 — ed.
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part III
ICCS (3)
Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
2024 — ed.
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part IV
ICCS (4)
Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
2024 — ed.
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part V
ICCS (5)
Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
2024 — ed.
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part VI
ICCS (6)
Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
2024 — ed.
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part VII
ICCS (7)
Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot
2024 — conf
Data Augmentation to Improve Molecular Subtype Prognosis Prediction in Breast Cancer.
ICCS (6)
Francisco J. Moreno-Barea, José M. Jerez, Nuria Ribelles, Emilio Alba, Leonardo Franco
2024 — conf
Development and Preliminary Validation of a Novel Handheld Sensing Device for Remote Palpation.
CASE
Tommaso Lisini Baldi, Nicole D'Aurizio, Leonardo Franco, Domenico Prattichizzo
2024 — conf
Enhancing Grasping Capabilities in Stroke Patients Through a Novel Mechanical Design of the Robotic SixthFinger.
BioRob
Manish Shukla, Leonardo Franco, Domenico Prattichizzo, Gionata Salvietti
2024 — conf
Soft Pneumatic Pads Enable New Sensing and Actuation Capabilities in Soft-Rigid Grippers.
RoboSoft
Maria Pozzi, Leonardo Franco, Zubair Iqbal, Monica Malvezzi, Domenico Prattichizzo, Gionata Salvietti
2024 A* conf
The Double-Scoop Gripper: A Tendon-Driven Soft-Rigid End-Effector for Food Handling Exploiting Constraints in Narrow Spaces.
ICRA
Leonardo Franco, Enrico Turco, Valerio Bo, Maria Pozzi, Monica Malvezzi, Domenico Prattichizzo, Gionata Salvietti
2024 A* conf
Wearable Haptics for a Marionette-inspired Teleoperation of Highly Redundant Robotic Systems.
ICRA
Davide Torielli, Leonardo Franco, Maria Pozzi, Luca Muratore, Monica Malvezzi, Nikos G. Tsagarakis, Domenico Prattichizzo
2022 J jnl
Application of data augmentation techniques towards metabolomics.
Comput. Biol. Medicine
Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld
2022 — conf
Data Augmentation Meta-Classifier Scheme for imbalanced data sets.
SSCI
Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
2022 — conf
Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease.
ICCS (3)
Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld
2022 — conf
GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancer.
ICCS (3)
Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
2022 B conf
On the Somatotopic Mapping of Haptic Feedback from Robotic Supernumerary Limbs.
RO-MAN
Leonardo Franco, Gionata Salvietti, Michele Pompilio, Simone Rossi, Domenico Prattichizzo
2021 J jnl
Integration of a Passive Exoskeleton and a Robotic Supernumerary Finger for Grasping Compensation in Chronic Stroke Patients: The SoftPro Wearable System.
Frontiers Robotics AI
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
2020 J jnl
Improving classification accuracy using data augmentation on small data sets.
Expert Syst. Appl.
Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco
2020 J jnl
Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm.
Neural Comput. Appl.
Iván Gómez, Héctor Mesa, Francisco Ortega-Zamorano, José M. Jerez-Aragonés, Leonardo Franco
2020 — conf
Short-Term Rainfall Forecasting with E-LSTM Recurrent Neural Networks Using Small Datasets.
ICIC (3)
Cristian Rodriguez Rivero, Julián A. Pucheta, H. Daniel Patiño, Paula Otaño, Leonardo Franco, Gustavo Juárez
2019 — conf
A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders.
IWANN (1)
Guillermo López-García, José M. Jerez, Leonardo Franco, Francisco J. Veredas
2019 — conf
Addition of Pathway-Based Information to Improve Predictions in Transcriptomics.
IWBBIO (2)
Daniel Urda, Francisco J. Veredas, Ignacio Turias, Leonardo Franco
2019 — conf
Command Acknowledge through Tactile Feedback Improves the Usability of an EMG-based Interface for the Frontalis Muscle.
WHC
Leonardo Franco, Gionata Salvietti, Domenico Prattichizzo
2018 J jnl
BLASSO: integration of biological knowledge into a regularized linear model.
BMC Syst. Biol.
Daniel Urda, Francisco Aragón, Rocío Bautista, Leonardo Franco, Francisco J. Veredas, Manuel Gonzalo Claros, José Manuel Jerez
2018 — conf
Forward Noise Adjustment Scheme for Data Augmentation.
SSCI
Francisco J. Moreno-Barea, Fiammetta Strazzera, José M. Jerez, Daniel Urda, Leonardo Franco
2018 — conf
Poster: SIMNET: Simulation-Based Exercises for Computer Network Curriculum Through Gamification and Augmented Reality.
REV
Alvaro Luis Fraga, María Guadalupe Gramajo, Federico Trejo, Selena Garcia, Gustavo Juárez, Leonardo Franco
2017 — conf
Classification of high dimensional data using LASSO ensembles.
SSCI
Daniel Urda, Leonardo Franco, José M. Jerez
2017 — conf
Deep Learning to Analyze RNA-Seq Gene Expression Data.
IWANN (2)
Daniel Urda, Julio Montes-Torres, Fernando Moreno, Leonardo Franco, José M. Jerez
2017 J jnl
FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm.
Neural Process. Lett.
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Leonardo Franco
2017 — conf
L_1 L 1 -regularization Model Enriched with Biological Knowledge.
IWBBIO (1)
Daniel Urda, Francisco Aragón, Leonardo Franco, Francisco J. Veredas, José M. Jerez
2017 J jnl
Layer multiplexing FPGA implementation for deep back-propagation learning.
Integr. Comput. Aided Eng.
Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco
2017 B conf
Machine learning models to search relevant genetic signatures in clinical context.
IJCNN
Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, José M. Jerez, Noelia Sánchez-Maroño
2017 — conf
Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme.
IWANN (1)
José Luis Subirats, Héctor Mesa, Francisco Ortega-Zamorano, Gustavo Juárez, José M. Jerez, Ignacio J. Turias, Leonardo Franco
2017 — conf
Time-series prediction with BEMCA approach: Application to short rainfall series.
LA-CCI
Cristian Rodriguez Rivero, Yván Túpac, Julián A. Pucheta, Gustavo Juárez, Leonardo Franco, Paula Otaño
2016 Misc conf
Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme.
DCAI
Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco
2016 J jnl
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers.
IEEE Trans. Neural Networks Learn. Syst.
Francisco Ortega-Zamorano, José M. Jerez, Daniel Urda, Rafael M. Luque-Baena, Leonardo Franco
2016 J jnl
FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model.
CoRR
Francisco Ortega-Zamorano, Marcelo A. Montemurro, Sergio A. Cannas, José M. Jerez, Leonardo Franco
2016 J jnl
FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model.
IEEE Trans. Parallel Distributed Syst.
Francisco Ortega-Zamorano, Marcelo A. Montemurro, Sergio Alejandro Cannas, José M. Jerez, Leonardo Franco
2016 — conf
Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series.
LA-CCI
Cristian Rodriguez Rivero, Julián A. Pucheta, Sergio Laboret, Vìctor Sauchelli, Alvaro David Orjuela-Cañón, Leonardo Franco
2016 J jnl
Supervised discretization can discover risk groups in cancer survival analysis.
Comput. Methods Programs Biomed.
Iván Gómez, Nuria Ribelles, Leonardo Franco, Emilio Alba, José M. Jerez
2016 — conf
Thermal comfort estimation using a neurocomputational model.
LA-CCI
Jose Rodriguez-Alabarce, Francisco Ortega-Zamorano, José M. Jerez, Kusha Ghoreishi, Leonardo Franco
2015 — conf
FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms.
IWANN (2)
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Leonardo Franco
2014 J jnl
FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm.
IEEE Trans. Ind. Informatics
Francisco Ortega-Zamorano, José M. Jerez, Leonardo Franco
2014 C conf
High precision FPGA implementation of neural network activation functions.
IES
Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Jorge O. Perez, Leonardo Franco
2014 J jnl
Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords.
J. Biomed. Informatics
Rafael Marcos Luque Baena, Daniel Urda, M. Gonzalo Claros, Leonardo Franco, José M. Jerez
2014 J jnl
Smart sensor/actuator node reprogramming in changing environments using a neural network model.
Eng. Appl. Artif. Intell.
Francisco Ortega-Zamorano, José M. Jerez, José Luis Subirats, Ignacio Molina, Leonardo Franco
2014 — conf
Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures.
CIBB
Daniel Urda, Simon J. Chambers, Ian H. Jarman, Paulo J. G. Lisboa, Leonardo Franco, José M. Jerez
2013 — conf
A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel.
IWANN (1)
Daniel Urda, Rafael Marcos Luque, María Jesús Jiménez-Come, Ignacio Turias Domínguez, Leonardo Franco, José Manuel Jerez
2013 J jnl
Addressing critical issues in the development of an Oncology Information System.
Int. J. Medical Informatics
Daniel Urda, Nuria Ribelles, José Luis Subirats, Leonardo Franco, Emilio Alba, José Manuel Jerez
2013 — conf
Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms.
IWBBIO
Rafael Marcos Luque Baena, Daniel Urda, José Luis Subirats, Leonardo Franco, José M. Jerez
2013 — conf
Committee C-Mantec: A Probabilistic Constructive Neural Network.
IWANN (1)
José Luis Subirats, Rafael Marcos Luque Baena, Daniel Urda, Francisco Ortega-Zamorano, José Manuel Jerez, Leonardo Franco
2013 — conf
Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller.
IWANN (1)
Francisco Ortega-Zamorano, José Luis Subirats, José M. Jerez, Ignacio Molina, Leonardo Franco
2012 J jnl
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons.
Neural Networks
José Luis Subirats, Leonardo Franco, José M. Jerez
2012 — conf
Data Discretization Using the Extreme Learning Machine Neural Network.
ICONIP (4)
Juan Jesús Carneros, José M. Jerez, Iván Gómez, Leonardo Franco
2012 J jnl
WIMP: Web server tool for missing data imputation.
Comput. Methods Programs Biomed.
Daniel Urda, José Luis Subirats, Pedro J. García-Laencina, Leonardo Franco, José-Luis Sancho-Gómez, José Manuel Jerez
2011 — conf
Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems.
IWANN (2)
Yasel Couce, Leonardo Franco, Daniel Urda, José Luis Subirats, José M. Jerez
2010 — conf
Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles.
IEA/AIE (1)
Daniel Urda, José Luis Subirats, Leonardo Franco, José Manuel Jerez
2010 — conf
Extension of the Generalization Complexity Measure to Real Valued Input Data Sets.
ISNN (1)
Iván Gómez, Leonardo Franco, José M. Jerez, José Luis Subirats
2010 J jnl
Missing data imputation using statistical and machine learning methods in a real breast cancer problem.
Artif. Intell. Medicine
José M. Jerez, Ignacio Molina, Pedro J. García-Laencina, Emilio Alba, Nuria Ribelles, Miguel Martín, Leonardo Franco
2010 J jnl
Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm.
Cogn. Comput.
José Luis Subirats, José M. Jerez, Iván Gómez, Leonardo Franco
2009 — ch.
Active Learning Using a Constructive Neural Network Algorithm.
Constructive Neural Networks
José Luis Subirats, Leonardo Franco, Ignacio Molina, José M. Jerez
2009 — ch.
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks.
Constructive Neural Networks
Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez
2009 — book
Constructive Neural Networks
Constructive Neural Networks
Leonardo Franco, David A. Elizondo, José M. Jerez
2009 J jnl
Neural Network Architecture Selection: Can Function Complexity Help?
Neural Process. Lett.
Iván Gómez, Leonardo Franco, José M. Jerez
2008 J jnl
A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions.
IEEE Trans. Circuits Syst. I Regul. Pap.
José Luis Subirats, José M. Jerez, Leonardo Franco
2008 — conf
Active Learning Using a Constructive Neural Network Algorithm.
ICANN (2)
José Luis Subirats, Leonardo Franco, Ignacio Molina Conde, José M. Jerez
2007 Misc conf
Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm.
IWANN
Leonardo Franco, José Luis Subirats, Ignacio Molina, Emilio Alba, José M. Jerez
2007 — conf
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set.
ICANN (1)
Leonardo Franco, José Luis Subirats, José M. Jerez
2007 J jnl
Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex.
Biol. Cybern.
Leonardo Franco, Edmund T. Rolls, Nikolaos C. Aggelopoulos, José M. Jerez
2006 B conf
A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions.
IJCNN
Leonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez
2006 J jnl
Generalization ability of Boolean functions implemented in feedforward neural networks.
Neurocomputing
Leonardo Franco
2006 — conf
Neural Network Architecture Selection: Size Depends on Function Complexity.
ICANN (1)
Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez
2006 — conf
Optimal Synthesis of Boolean Functions by Threshold Functions.
ICANN (1)
José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco
2006 J jnl
The influence of oppositely classified examples on the generalization complexity of Boolean functions.
IEEE Trans. Neural Networks
Leonardo Franco, Martin Anthony
2005 B conf
Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients.
ESANN
Leonardo Franco, José M. Jerez, Emilio Alba
2005 Misc conf
Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks.
IWANN
Leonardo Franco, José M. Jerez, José M. Bravo
2004 J jnl
Information encoding in the inferior temporal visual cortex: contributions of the firing rates and the correlations between the firing of neurons.
Biol. Cybern.
Edmund T. Rolls, Nikolaos C. Aggelopoulos, Leonardo Franco, Alessandro Treves
2004 B conf
On a generalization complexity measure for Boolean functions.
IJCNN
Leonardo Franco, Martin Anthony
2003 — conf
CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task.
IWANN (1)
José M. Jerez, Leonardo Franco, Ignacio Molina
2001 J jnl
Generalization properties of modular networks: implementing the parity function.
IEEE Trans. Neural Networks
Leonardo Franco, Sergio A. Cannas
2000 J jnl
Generalization and Selection of Examples in Feedforward Neural Networks.
Neural Comput.
Leonardo Franco, Sergio A. Cannas
1998 J jnl
Solving arithmetic problems using feed-forward neural networks.
Neurocomputing
Leonardo Franco, Sergio A. Cannas