Solving arithmetic problems using feed-forward neural networks. - Leonardo Franco; Sergio A. Cannas (Neurocomputing, 1998)

Generalization and Selection of Examples in Feedforward Neural Networks. - Leonardo Franco; Sergio A. Cannas (Neural Comput., 2000)

Generalization properties of modular networks: implementing the parity function. - Leonardo Franco; Sergio A. Cannas (IEEE Trans. Neural Networks, 2001)

CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. - José M. Jerez; Leonardo Franco; Ignacio Molina (IWANN (1), 2003)

On a generalization complexity measure for Boolean functions. - Leonardo Franco; Martin Anthony (IJCNN, 2004)

Information encoding in the inferior temporal visual cortex: contributions of the firing rates and the correlations between the firing of neurons. - Edmund T. Rolls; Nikolaos C. Aggelopoulos; Leonardo Franco; Alessandro Treves (Biol. Cybern., 2004)

Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. - Leonardo Franco; José M. Jerez; Emilio Alba (ESANN, 2005)

Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks. - Leonardo Franco; José M. Jerez; José M. Bravo (IWANN, 2005)

Neural Network Architecture Selection: Size Depends on Function Complexity. - Iván Gómez; Leonardo Franco; José Luis Subirats; José M. Jerez (ICANN (1), 2006)

Optimal Synthesis of Boolean Functions by Threshold Functions. - José Luis Subirats; Iván Gómez; José M. Jerez; Leonardo Franco (ICANN (1), 2006)

A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. - Leonardo Franco; José Luis Subirats; Martin Anthony; José M. Jerez (IJCNN, 2006)

Generalization ability of Boolean functions implemented in feedforward neural networks. - Leonardo Franco (Neurocomputing, 2006)

The influence of oppositely classified examples on the generalization complexity of Boolean functions. - Leonardo Franco; Martin Anthony (IEEE Trans. Neural Networks, 2006)

MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set. - Leonardo Franco; José Luis Subirats; José M. Jerez (ICANN (1), 2007)

Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm. - Leonardo Franco; José Luis Subirats; Ignacio Molina; Emilio Alba; José M. Jerez (IWANN, 2007)

Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex. - Leonardo Franco; Edmund T. Rolls; Nikolaos C. Aggelopoulos; José M. Jerez (Biol. Cybern., 2007)

Active Learning Using a Constructive Neural Network Algorithm. - José Luis Subirats; Leonardo Franco; Ignacio Molina Conde; José M. Jerez (ICANN (2), 2008)

A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions. - José Luis Subirats; José M. Jerez; Leonardo Franco (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

Neural Network Architecture Selection: Can Function Complexity Help? - Iván Gómez; Leonardo Franco; José M. Jerez (Neural Process. Lett., 2009)

Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. - Maria do Carmo Nicoletti; João Roberto Bertini Jr.; David A. Elizondo; Leonardo Franco; José M. Jerez (Constructive Neural Networks, 2009)

Active Learning Using a Constructive Neural Network Algorithm. - José Luis Subirats; Leonardo Franco; Ignacio Molina; José M. Jerez (Constructive Neural Networks, 2009)

Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles. - Daniel Urda; José Luis Subirats; Leonardo Franco; José Manuel Jerez (IEA/AIE (1), 2010)

Extension of the Generalization Complexity Measure to Real Valued Input Data Sets. - Iván Gómez; Leonardo Franco; José M. Jerez; José Luis Subirats (ISNN (1), 2010)

Missing data imputation using statistical and machine learning methods in a real breast cancer problem. - José M. Jerez; Ignacio Molina; Pedro J. García-Laencina; Emilio Alba; Nuria Ribelles; Miguel Martín; Leonardo Franco (Artif. Intell. Medicine, 2010)

Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm. - José Luis Subirats; José M. Jerez; Iván Gómez; Leonardo Franco (Cogn. Comput., 2010)

Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems. - Yasel Couce; Leonardo Franco; Daniel Urda; José Luis Subirats; José M. Jerez (IWANN (2), 2011)

Data Discretization Using the Extreme Learning Machine Neural Network. - Juan Jesús Carneros; José M. Jerez; Iván Gómez; Leonardo Franco (ICONIP (4), 2012)

WIMP: Web server tool for missing data imputation. - Daniel Urda; José Luis Subirats; Pedro J. García-Laencina; Leonardo Franco; José-Luis Sancho-Gómez; José Manuel Jerez (Comput. Methods Programs Biomed., 2012)

C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons. - José Luis Subirats; Leonardo Franco; José M. Jerez (Neural Networks, 2012)

Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller. - Francisco Ortega-Zamorano; José Luis Subirats; José M. Jerez; Ignacio Molina; Leonardo Franco (IWANN (1), 2013)

Committee C-Mantec: A Probabilistic Constructive Neural Network. - José Luis Subirats; Rafael Marcos Luque Baena; Daniel Urda; Francisco Ortega-Zamorano; José Manuel Jerez; Leonardo Franco (IWANN (1), 2013)

A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel. - Daniel Urda; Rafael Marcos Luque; María Jesús Jiménez-Come; Ignacio Turias Domínguez; Leonardo Franco; José Manuel Jerez (IWANN (1), 2013)

Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms. - Rafael Marcos Luque Baena; Daniel Urda; José Luis Subirats; Leonardo Franco; José M. Jerez (IWBBIO, 2013)

Addressing critical issues in the development of an Oncology Information System. - Daniel Urda; Nuria Ribelles; José Luis Subirats; Leonardo Franco; Emilio Alba; José Manuel Jerez (Int. J. Medical Informatics, 2013)

Use of q-values to Improve a Genetic Algorithm to Identify Robust Gene Signatures. - Daniel Urda; Simon J. Chambers; Ian H. Jarman; Paulo J. G. Lisboa; Leonardo Franco; José M. Jerez (CIBB, 2014)

High precision FPGA implementation of neural network activation functions. - Francisco Ortega-Zamorano; José M. Jerez; Gustavo Juárez; Jorge O. Perez; Leonardo Franco (IES, 2014)

Smart sensor/actuator node reprogramming in changing environments using a neural network model. - Francisco Ortega-Zamorano; José M. Jerez; José Luis Subirats; Ignacio Molina; Leonardo Franco (Eng. Appl. Artif. Intell., 2014)

Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords. - Rafael Marcos Luque Baena; Daniel Urda; M. Gonzalo Claros; Leonardo Franco; José M. Jerez (J. Biomed. Informatics, 2014)

FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm. - Francisco Ortega-Zamorano; José M. Jerez; Leonardo Franco (IEEE Trans. Ind. Informatics, 2014)

FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms. - Francisco Ortega-Zamorano; José M. Jerez; Gustavo Juárez; Leonardo Franco (IWANN (2), 2015)

Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. - Francisco Ortega-Zamorano; José M. Jerez; Iván Gómez; Leonardo Franco (DCAI, 2016)

Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series. - Cristian Rodriguez Rivero; Julián A. Pucheta; Sergio Laboret; Vìctor Sauchelli; Alvaro David Orjuela-Cañón; Leonardo Franco (LA-CCI, 2016)

Thermal comfort estimation using a neurocomputational model. - Jose Rodriguez-Alabarce; Francisco Ortega-Zamorano; José M. Jerez; Kusha Ghoreishi; Leonardo Franco (LA-CCI, 2016)

Supervised discretization can discover risk groups in cancer survival analysis. - Iván Gómez; Nuria Ribelles; Leonardo Franco; Emilio Alba; José M. Jerez (Comput. Methods Programs Biomed., 2016)

Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers. - Francisco Ortega-Zamorano; José M. Jerez; Daniel Urda; Rafael M. Luque-Baena; Leonardo Franco (IEEE Trans. Neural Networks Learn. Syst., 2016)

FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model. - Francisco Ortega-Zamorano; Marcelo A. Montemurro; Sergio Alejandro Cannas; José M. Jerez; Leonardo Franco (IEEE Trans. Parallel Distributed Syst., 2016)

Machine learning models to search relevant genetic signatures in clinical context. - Daniel Urda; Rafael Marcos Luque Baena; Leonardo Franco; José M. Jerez; Noelia Sánchez-Maroño (IJCNN, 2017)

Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. - José Luis Subirats; Héctor Mesa; Francisco Ortega-Zamorano; Gustavo Juárez; José M. Jerez; Ignacio J. Turias; Leonardo Franco (IWANN (1), 2017)

Deep Learning to Analyze RNA-Seq Gene Expression Data. - Daniel Urda; Julio Montes-Torres; Fernando Moreno; Leonardo Franco; José M. Jerez (IWANN (2), 2017)

L_1 L 1 -regularization Model Enriched with Biological Knowledge. - Daniel Urda; Francisco Aragón; Leonardo Franco; Francisco J. Veredas 001; José M. Jerez (IWBBIO (1), 2017)

Time-series prediction with BEMCA approach: Application to short rainfall series. - Cristian Rodriguez Rivero; Yván Túpac; Julián A. Pucheta; Gustavo Juárez; Leonardo Franco; Paula Otaño (LA-CCI, 2017)

Classification of high dimensional data using LASSO ensembles. - Daniel Urda; Leonardo Franco; José M. Jerez (SSCI, 2017)

Layer multiplexing FPGA implementation for deep back-propagation learning. - Francisco Ortega-Zamorano; José M. Jerez; Iván Gómez; Leonardo Franco (Integr. Comput. Aided Eng., 2017)

FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm. - Francisco Ortega-Zamorano; José M. Jerez; Gustavo Juárez; Leonardo Franco (Neural Process. Lett., 2017)

Poster: SIMNET: Simulation-Based Exercises for Computer Network Curriculum Through Gamification and Augmented Reality. - Alvaro Luis Fraga; María Guadalupe Gramajo; Federico Trejo; Selena Garcia; Gustavo Juárez; Leonardo Franco (REV, 2018)

Forward Noise Adjustment Scheme for Data Augmentation. - Francisco J. Moreno-Barea; Fiammetta Strazzera; José M. Jerez; Daniel Urda; Leonardo Franco (SSCI, 2018)

BLASSO: integration of biological knowledge into a regularized linear model. - Daniel Urda; Francisco Aragón; Rocío Bautista; Leonardo Franco; Francisco J. Veredas 001; Manuel Gonzalo Claros; José Manuel Jerez (BMC Syst. Biol., 2018)

Command Acknowledge through Tactile Feedback Improves the Usability of an EMG-based Interface for the Frontalis Muscle. - Leonardo Franco; Gionata Salvietti; Domenico Prattichizzo (WHC, 2019)

A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders. - Guillermo López-García; José M. Jerez; Leonardo Franco; Francisco J. Veredas 001 (IWANN (1), 2019)

Addition of Pathway-Based Information to Improve Predictions in Transcriptomics. - Daniel Urda; Francisco J. Veredas 001; Ignacio Turias; Leonardo Franco (IWBBIO (2), 2019)

Short-Term Rainfall Forecasting with E-LSTM Recurrent Neural Networks Using Small Datasets. - Cristian Rodriguez Rivero; Julián A. Pucheta; H. Daniel Patiño; Paula Otaño; Leonardo Franco; Gustavo Juárez (ICIC (3), 2020)

Improving classification accuracy using data augmentation on small data sets. - Francisco J. Moreno-Barea; José M. Jerez; Leonardo Franco (Expert Syst. Appl., 2020)

Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm. - Iván Gómez; Héctor Mesa; Francisco Ortega-Zamorano; José M. Jerez-Aragonés; Leonardo Franco (Neural Comput. Appl., 2020)

Integration of a Passive Exoskeleton and a Robotic Supernumerary Finger for Grasping Compensation in Chronic Stroke Patients: The SoftPro Wearable System. - Gionata Salvietti; Leonardo Franco; Martin Tschiersky; Gerjan Wolterink; Matteo Bianchi 002; Antonio Bicchi; Federica Barontini; Manuel G. Catalano; Giorgio Grioli; Mattia Poggiani; Simone Rossi 002; Domenico Prattichizzo (Frontiers Robotics AI, 2021)

Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease. - Francisco J. Moreno-Barea; Leonardo Franco; David A. Elizondo; Martin Grootveld (ICCS (3), 2022)

GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancer. - Francisco J. Moreno-Barea; José M. Jerez; Leonardo Franco (ICCS (3), 2022)

On the Somatotopic Mapping of Haptic Feedback from Robotic Supernumerary Limbs. - Leonardo Franco; Gionata Salvietti; Michele Pompilio; Simone Rossi 002; Domenico Prattichizzo (RO-MAN, 2022)

Data Augmentation Meta-Classifier Scheme for imbalanced data sets. - Francisco J. Moreno-Barea; José M. Jerez; Leonardo Franco (SSCI, 2022)

Application of data augmentation techniques towards metabolomics. - Francisco J. Moreno-Barea; Leonardo Franco; David A. Elizondo; Martin Grootveld (Comput. Biol. Medicine, 2022)

Enhancing Grasping Capabilities in Stroke Patients Through a Novel Mechanical Design of the Robotic SixthFinger. - Manish Shukla 005; Leonardo Franco; Domenico Prattichizzo; Gionata Salvietti (BioRob, 2024)

Development and Preliminary Validation of a Novel Handheld Sensing Device for Remote Palpation. - Tommaso Lisini Baldi; Nicole D'Aurizio; Leonardo Franco; Domenico Prattichizzo (CASE, 2024)

A Wearable Pick-By-Haptics System to Improve Manual-Picking Tasks in Warehouses. - Leonardo Franco; Tommaso Lisini Baldi; Domenico Prattichizzo; Gionata Salvietti (HAPTICS, 2024)

A Novel Wearable Sensing Device Enabling Remote Palpation. - Michele Pompilio; Nicole D'Aurizio; Tommaso Lisini Baldi; Leonardo Franco; Guido Gabriele; Domenico Prattichizzo (HAPTICS, 2024)

Data Augmentation to Improve Molecular Subtype Prognosis Prediction in Breast Cancer. - Francisco J. Moreno-Barea; José M. Jerez; Nuria Ribelles; Emilio Alba; Leonardo Franco (ICCS (6), 2024)

The Double-Scoop Gripper: A Tendon-Driven Soft-Rigid End-Effector for Food Handling Exploiting Constraints in Narrow Spaces. - Leonardo Franco; Enrico Turco; Valerio Bo; Maria Pozzi; Monica Malvezzi; Domenico Prattichizzo; Gionata Salvietti (ICRA, 2024)

Wearable Haptics for a Marionette-inspired Teleoperation of Highly Redundant Robotic Systems. - Davide Torielli; Leonardo Franco; Maria Pozzi; Luca Muratore; Monica Malvezzi; Nikos G. Tsagarakis; Domenico Prattichizzo (ICRA, 2024)

Soft Pneumatic Pads Enable New Sensing and Actuation Capabilities in Soft-Rigid Grippers. - Maria Pozzi; Leonardo Franco; Zubair Iqbal; Monica Malvezzi; Domenico Prattichizzo; Gionata Salvietti (RoboSoft, 2024)

Computational science: Guiding the way towards a sustainable society. - Sergey V. Kovalchuk; Clélia de Mulatier; Valeria V. Krzhizhanovskaya; Leonardo Franco; Maciej Paszynski; Jack J. Dongarra; Peter M. A. Sloot (J. Comput. Sci., 2025)