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2020 – today
- 2024
[c47]Manish Shukla, Leonardo Franco, Domenico Prattichizzo, Gionata Salvietti:
Enhancing Grasping Capabilities in Stroke Patients Through a Novel Mechanical Design of the Robotic SixthFinger. BioRob 2024: 1752-1757- [c46]Tommaso Lisini Baldi, Nicole D'Aurizio, Leonardo Franco, Domenico Prattichizzo:
Development and Preliminary Validation of a Novel Handheld Sensing Device for Remote Palpation. CASE 2024: 1586-1593 - [c45]Michele Pompilio, Nicole D'Aurizio
, Tommaso Lisini Baldi, Leonardo Franco, Guido Gabriele, Domenico Prattichizzo:
A Novel Wearable Sensing Device Enabling Remote Palpation. HAPTICS 2024: 149-156 - [c44]Leonardo Franco, Tommaso Lisini Baldi, Domenico Prattichizzo, Gionata Salvietti:
A Wearable Pick-By-Haptics System to Improve Manual-Picking Tasks in Warehouses. HAPTICS 2024: 259-263 - [c43]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: 19-27 - [c42]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: 4170-4176 - [c41]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: 15670-15676 - [c40]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: 485-491 - [e8]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14832, Springer 2024, ISBN 978-3-031-63748-3 [contents] - [e7]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14833, Springer 2024, ISBN 978-3-031-63753-7 [contents] - [e6]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14834, Springer 2024, ISBN 978-3-031-63758-2 [contents] - [e5]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14835, Springer 2024, ISBN 978-3-031-63771-1 [contents] - [e4]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14836, Springer 2024, ISBN 978-3-031-63774-2 [contents] - [e3]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14837, Springer 2024, ISBN 978-3-031-63777-3 [contents] - [e2]Leonardo Franco, Clélia de Mulatier, Maciej Paszynski, Valeria V. Krzhizhanovskaya, Jack J. Dongarra, Peter M. A. Sloot:
Computational Science - ICCS 2024 - 24th International Conference, Malaga, Spain, July 2-4, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 14838, Springer 2024, ISBN 978-3-031-63785-8 [contents] - 2022
- [j27]Francisco J. Moreno-Barea, Leonardo Franco, David A. Elizondo, Martin Grootveld:
Application of data augmentation techniques towards metabolomics. Comput. Biol. Medicine 148: 105916 (2022) - [c39]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: 28-42 - [c38]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: 78-91 - [c37]Leonardo Franco, Gionata Salvietti, Michele Pompilio, Simone Rossi, Domenico Prattichizzo:
On the Somatotopic Mapping of Haptic Feedback from Robotic Supernumerary Limbs. RO-MAN 2022: 192-197 - [c36]Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco:
Data Augmentation Meta-Classifier Scheme for imbalanced data sets. SSCI 2022: 1392-1399 - 2021
- [j26]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: 661354 (2021) - 2020
- [j25]Francisco J. Moreno-Barea, José M. Jerez, Leonardo Franco:
Improving classification accuracy using data augmentation on small data sets. Expert Syst. Appl. 161: 113696 (2020) - [j24]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): 8955-8963 (2020) - [c35]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: 258-270
2010 – 2019
- 2019
- [c34]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: 574-579 - [c33]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: 912-924 - [c32]Daniel Urda, Francisco J. Veredas, Ignacio Turias, Leonardo Franco:
Addition of Pathway-Based Information to Improve Predictions in Transcriptomics. IWBBIO (2) 2019: 200-208 - 2018
- [j23]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): 13-26 (2018) - [c31]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: 627-635 - [c30]Francisco J. Moreno-Barea, Fiammetta Strazzera, José M. Jerez, Daniel Urda, Leonardo Franco:
Forward Noise Adjustment Scheme for Data Augmentation. SSCI 2018: 728-734 - 2017
- [j22]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): 171-185 (2017) - [j21]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): 899-914 (2017) - [c29]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: 1649-1656 - [c28]Daniel Urda, Julio Montes-Torres, Fernando Moreno, Leonardo Franco, José M. Jerez:
Deep Learning to Analyze RNA-Seq Gene Expression Data. IWANN (2) 2017: 50-59 - [c27]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: 52-61 - [c26]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: 579-590 - [c25]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: 1-6 - [c24]Daniel Urda, Leonardo Franco, José M. Jerez:
Classification of high dimensional data using LASSO ensembles. SSCI 2017: 1-7 - 2016
- [j20]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: 11-19 (2016) - [j19]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): 1840-1850 (2016) - [j18]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): 2618-2627 (2016) - [c23]Francisco Ortega-Zamorano, José M. Jerez, Iván Gómez, Leonardo Franco:
Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme. DCAI 2016: 79-86 - [c22]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: 1-6 - [c21]Jose Rodriguez-Alabarce, Francisco Ortega-Zamorano, José M. Jerez, Kusha Ghoreishi, Leonardo Franco:
Thermal comfort estimation using a neurocomputational model. LA-CCI 2016: 1-5 - [i1]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 abs/1602.03016 (2016) - 2015
- [c20]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: 197-208 - 2014
- [j17]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: 179-188 (2014) - [j16]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: 32-44 (2014) - [j15]Francisco Ortega-Zamorano, José M. Jerez, Leonardo Franco:
FPGA Implementation of the C-Mantec Neural Network Constructive Algorithm. IEEE Trans. Ind. Informatics 10(2): 1154-1161 (2014) - [c19]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: 199-206 - [c18]Francisco Ortega-Zamorano, José M. Jerez, Gustavo Juárez, Jorge O. Perez, Leonardo Franco:
High precision FPGA implementation of neural network activation functions. IES 2014: 55-60 - 2013
- [j14]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): 398-407 (2013) - [c17]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: 80-87 - [c16]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: 88-95 - [c15]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: 339-346 - [c14]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: 55-63 - 2012
- [j13]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): 1247-1254 (2012) - [j12]José Luis Subirats, Leonardo Franco, José M. Jerez:
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons. Neural Networks 26: 130-140 (2012) - [c13]Juan Jesús Carneros, José M. Jerez, Iván Gómez, Leonardo Franco:
Data Discretization Using the Extreme Learning Machine Neural Network. ICONIP (4) 2012: 281-288 - 2011
- [c12]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: 202-209 - 2010
- [j11]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): 105-115 (2010) - [j10]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): 285-290 (2010) - [c11]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: 317-326 - [c10]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: 86-94
2000 – 2009
- 2009
- [j9]Iván Gómez, Leonardo Franco, José M. Jerez:
Neural Network Architecture Selection: Can Function Complexity Help? Neural Process. Lett. 30(2): 71-87 (2009) - [p2]Maria do Carmo Nicoletti, João Roberto Bertini Jr., David A. Elizondo, Leonardo Franco, José M. Jerez:
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks. Constructive Neural Networks 2009: 1-23 - [p1]José Luis Subirats, Leonardo Franco, Ignacio Molina, José M. Jerez:
Active Learning Using a Constructive Neural Network Algorithm. Constructive Neural Networks 2009: 193-206 - [e1]Leonardo Franco, David A. Elizondo, José M. Jerez:
Constructive Neural Networks. Studies in Computational Intelligence 258, Springer 2009, ISBN 978-3-642-04511-0 [contents] - 2008
- [j8]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. 55-I(10): 3188-3196 (2008) - [c9]José Luis Subirats, Leonardo Franco, Ignacio Molina Conde, José M. Jerez:
Active Learning Using a Constructive Neural Network Algorithm. ICANN (2) 2008: 803-811 - 2007
- [j7]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): 547-560 (2007) - [c8]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: 648-656 - [c7]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: 1004-1011 - 2006
- [j6]Leonardo Franco:
Generalization ability of Boolean functions implemented in feedforward neural networks. Neurocomputing 70(1-3): 351-361 (2006) - [j5]Leonardo Franco, Martin Anthony:
The influence of oppositely classified examples on the generalization complexity of Boolean functions. IEEE Trans. Neural Networks 17(3): 578-590 (2006) - [c6]Iván Gómez, Leonardo Franco, José Luis Subirats, José M. Jerez:
Neural Network Architecture Selection: Size Depends on Function Complexity. ICANN (1) 2006: 122-129 - [c5]José Luis Subirats, Iván Gómez, José M. Jerez, Leonardo Franco:
Optimal Synthesis of Boolean Functions by Threshold Functions. ICANN (1) 2006: 983-992 - [c4]Leonardo Franco, José Luis Subirats, Martin Anthony, José M. Jerez:
A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions. IJCNN 2006: 4791-4796 - 2005
- [c3]Leonardo Franco, José M. Jerez, Emilio Alba:
Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients. ESANN 2005: 91-102 - [c2]Leonardo Franco, José M. Jerez, José M. Bravo:
Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks. IWANN 2005: 1-8 - 2004
- [j4]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): 19-32 (2004) - 2003
- [c1]José M. Jerez, Leonardo Franco, Ignacio Molina:
CBA Generated Receptive Fields Implemented in a Facial Expression Recognition Task. IWANN (1) 2003: 734-741 - 2001
- [j3]Leonardo Franco, Sergio A. Cannas:
Generalization properties of modular networks: implementing the parity function. IEEE Trans. Neural Networks 12(6): 1306-1313 (2001) - 2000
- [j2]Leonardo Franco, Sergio A. Cannas:
Generalization and Selection of Examples in Feedforward Neural Networks. Neural Comput. 12(10): 2405-2426 (2000)
1990 – 1999
- 1998
- [j1]Leonardo Franco, Sergio A. Cannas:
Solving arithmetic problems using feed-forward neural networks. Neurocomputing 18(1-3): 61-79 (1998)
Coauthor Index
[c43] [c39] [c36] [j25] [j24] [c33] [j23] [c30] [j22] [j21] [c29] [c28] [c27] [c26] [c24] [j20] [j19] [j18] [c23] [c21] [i1] [c20] [j17] [j16] [j15] [c19] [c18] [j14] [c17] [c16] [c15] [c14] [j13] [j12] [c13] [c12] [j11] [j10] [c11] [c10] [j9] [p2] [p1] [e1] [j8] [c9] [j7] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
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