| 2025 | ISM | A Forearm-Worn Haptic Device for Integrated Tactile and Kinaesthetic Feedback via Skin Stretch. | Selin Nur zsert, Daniel Rodriguez-Guevara, Leonardo Franco, Wenxuan Wei, Eckehard G. Steinbach, Domenico Prattichizzo |
| 2024 | ICCS | Data Augmentation to Improve Molecular Subtype Prognosis Prediction in Breast Cancer. | Francisco J. Moreno-Barea, Jos M. Jerez, Nuria Ribelles, Emilio Alba, Leonardo Franco |
| 2024 | ICRA | 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 |
| 2024 | ICRA | 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 |
| 2022 | ICCS | Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease. | Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld |
| 2022 | ICCS | GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancer. | Francisco J. Moreno-Barea, Jos M. Jerez, Leonardo Franco |
| 2022 | RO-MAN | On the Somatotopic Mapping of Haptic Feedback from Robotic Supernumerary Limbs. | Leonardo Franco, Gionata Salvietti, Michele Pompilio, Simone Rossi, Domenico Prattichizzo |
| 2019 | IWANN | A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders. | Guillermo Lpez-Garca, Jos M. Jerez, Leonardo Franco, Francisco J. Veredas |
| 2017 | IJCNN | Machine learning models to search relevant genetic signatures in clinical context. | Daniel Urda, Rafael Marcos Luque Baena, Leonardo Franco, Jos M. Jerez, Noelia Snchez-Maroo |
| 2017 | IWANN | Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme. | Jos Luis Subirats, Hctor Mesa, Francisco Ortega-Zamorano, Gustavo Jurez, Jos M. Jerez, Ignacio J. Turias, Leonardo Franco |
| 2017 | IWANN | Deep Learning to Analyze RNA-Seq Gene Expression Data. | Daniel Urda, Julio Montes-Torres, Fernando Moreno, Leonardo Franco, Jos M. Jerez |
| 2016 | DCAI | Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. | Francisco Ortega-Zamorano, Jos M. Jerez, Ivn Gmez, Leonardo Franco |
| 2015 | IWANN | FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms. | Francisco Ortega-Zamorano, Jos M. Jerez, Gustavo Jurez, Leonardo Franco |
| 2014 | IES | High precision FPGA implementation of neural network activation functions. | Francisco Ortega-Zamorano, Jos M. Jerez, Gustavo Jurez, Jorge O. Perez, Leonardo Franco |
| 2013 | IWANN | Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller. | Francisco Ortega-Zamorano, Jos Luis Subirats, Jos M. Jerez, Ignacio Molina, Leonardo Franco |
| 2013 | IWANN | Committee C-Mantec: A Probabilistic Constructive Neural Network. | Jos Luis Subirats, Rafael Marcos Luque Baena, Daniel Urda, Francisco Ortega-Zamorano, Jos Manuel Jerez, Leonardo Franco |
| 2013 | IWANN | A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel. | Daniel Urda, Rafael Marcos Luque, Mara Jess Jimnez-Come, Ignacio Turias Domnguez, Leonardo Franco, Jos Manuel Jerez |
| 2012 | ICONIP | Data Discretization Using the Extreme Learning Machine Neural Network. | Juan Jess Carneros, Jos M. Jerez, Ivn Gmez, Leonardo Franco |
| 2011 | IWANN | Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems. | Yasel Couce, Leonardo Franco, Daniel Urda, Jos Luis Subirats, Jos M. Jerez |
| 2010 | ISNN | Extension of the Generalization Complexity Measure to Real Valued Input Data Sets. | Ivn Gmez, Leonardo Franco, Jos M. Jerez, Jos Luis Subirats |
| 2008 | ICANN | Active Learning Using a Constructive Neural Network Algorithm. | Jos Luis Subirats, Leonardo Franco, Ignacio Molina Conde, Jos M. Jerez |
| 2007 | ICANN | MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set. | Leonardo Franco, Jos Luis Subirats, Jos M. Jerez |
| 2007 | IWANN | Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm. | Leonardo Franco, Jos Luis Subirats, Ignacio Molina, Emilio Alba, Jos M. Jerez |
| 2006 | ICANN | Neural Network Architecture Selection: Size Depends on Function Complexity. | Ivn Gmez, Leonardo Franco, Jos Luis Subirats, Jos M. Jerez |
| 2006 | ICANN | Optimal Synthesis of Boolean Functions by Threshold Functions. | Jos Luis Subirats, Ivn Gmez, Jos M. Jerez, Leonardo Franco |
| 2006 | IJCNN | A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. | Leonardo Franco, Jos Luis Subirats, Martin Anthony, Jos M. Jerez |
| 2005 | ESANN | Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. | Leonardo Franco, Jos M. Jerez, Emilio Alba |
| 2005 | IWANN | Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks. | Leonardo Franco, Jos M. Jerez, Jos M. Bravo |
| 2004 | IJCNN | On a generalization complexity measure for Boolean functions. | Leonardo Franco, Martin Anthony |
| 2003 | IWANN | CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. | Jos M. Jerez, Leonardo Franco, Ignacio Molina |