Leonardo Franco
Orcid: 0000-0003-0012-5914
According to our database1,
Leonardo Franco
authored at least 77 papers
between 1998 and 2024.
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Bibliography
2024
Soft Pneumatic Pads Enable New Sensing and Actuation Capabilities in Soft-Rigid Grippers.
Proceedings of the 7th IEEE International Conference on Soft Robotics, 2024
Wearable Haptics for a Marionette-inspired Teleoperation of Highly Redundant Robotic Systems.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
The Double-Scoop Gripper: A Tendon-Driven Soft-Rigid End-Effector for Food Handling Exploiting Constraints in Narrow Spaces.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Data Augmentation to Improve Molecular Subtype Prognosis Prediction in Breast Cancer.
Proceedings of the Computational Science - ICCS 2024, 2024
Proceedings of the IEEE Haptics Symposium, 2024
Proceedings of the IEEE Haptics Symposium, 2024
Development and Preliminary Validation of a Novel Handheld Sensing Device for Remote Palpation.
Proceedings of the 20th IEEE International Conference on Automation Science and Engineering, 2024
Enhancing Grasping Capabilities in Stroke Patients Through a Novel Mechanical Design of the Robotic SixthFinger.
Proceedings of the 10th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics, 2024
2022
Comput. Biol. Medicine, 2022
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022
Proceedings of the 31st IEEE International Conference on Robot and Human Interactive Communication, 2022
GAN-Based Data Augmentation for Prediction Improvement Using Gene Expression Data in Cancer.
Proceedings of the Computational Science - ICCS 2022, 2022
Data Augmentation Techniques to Improve Metabolomic Analysis in Niemann-Pick Type C Disease.
Proceedings of the Computational Science - ICCS 2022, 2022
2021
Integration of a Passive Exoskeleton and a Robotic Supernumerary Finger for Grasping Compensation in Chronic Stroke Patients: The SoftPro Wearable System.
Frontiers Robotics AI, 2021
2020
Improving learning and generalization capabilities of the C-Mantec constructive neural network algorithm.
Neural Comput. Appl., 2020
Expert Syst. Appl., 2020
Short-Term Rainfall Forecasting with E-LSTM Recurrent Neural Networks Using Small Datasets.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
2019
Proceedings of the Bioinformatics and Biomedical Engineering, 2019
A Transfer-Learning Approach to Feature Extraction from Cancer Transcriptomes with Deep Autoencoders.
Proceedings of the Advances in Computational Intelligence, 2019
Command Acknowledge through Tactile Feedback Improves the Usability of an EMG-based Interface for the Frontalis Muscle.
Proceedings of the 2019 IEEE World Haptics Conference, 2019
2018
BMC Syst. Biol., 2018
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018
Poster: SIMNET: Simulation-Based Exercises for Computer Network Curriculum Through Gamification and Augmented Reality.
Proceedings of the Smart Industry & Smart Education, 2018
2017
FPGA Implementation of Neurocomputational Models: Comparison Between Standard Back-Propagation and C-Mantec Constructive Algorithm.
Neural Process. Lett., 2017
Integr. Comput. Aided Eng., 2017
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017
Proceedings of the Bioinformatics and Biomedical Engineering, 2017
Proceedings of the Advances in Computational Intelligence, 2017
Solving Scheduling Problems with Genetic Algorithms Using a Priority Encoding Scheme.
Proceedings of the Advances in Computational Intelligence, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
IEEE Trans. Parallel Distributed Syst., 2016
Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers.
IEEE Trans. Neural Networks Learn. Syst., 2016
Comput. Methods Programs Biomed., 2016
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016
Noisy chaotic time series forecast approximated by combining Reny's entropy with energy associated to series method: Application to rainfall series.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2016
Deep Neural Network Architecture Implementation on FPGAs Using a Layer Multiplexing Scheme.
Proceedings of the Distributed Computing and Artificial Intelligence, 2016
2015
FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms.
Proceedings of the Advances in Computational Intelligence, 2015
2014
IEEE Trans. Ind. Informatics, 2014
Robust gene signatures from microarray data using genetic algorithms enriched with biological pathway keywords.
J. Biomed. Informatics, 2014
Smart sensor/actuator node reprogramming in changing environments using a neural network model.
Eng. Appl. Artif. Intell., 2014
Proceedings of the IEEE Symposium on Intelligent Embedded Systems, 2014
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2014
2013
Int. J. Medical Informatics, 2013
Analysis of Cancer Microarray Data using Constructive Neural Networks and Genetic Algorithms.
Proceedings of the International Work-Conference on Bioinformatics and Biomedical Engineering, 2013
A Constructive Neural Network to Predict Pitting Corrosion Status of Stainless Steel.
Proceedings of the Advances in Computational Intelligence, 2013
Proceedings of the Advances in Computational Intelligence, 2013
Implementation of the C-Mantec Neural Network Constructive Algorithm in an Arduino Uno Microcontroller.
Proceedings of the Advances in Computational Intelligence, 2013
2012
C-Mantec: A novel constructive neural network algorithm incorporating competition between neurons.
Neural Networks, 2012
Comput. Methods Programs Biomed., 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
2011
Hybrid (Generalization-Correlation) Method for Feature Selection in High Dimensional DNA Microarray Prediction Problems.
Proceedings of the Advances in Computational Intelligence, 2011
2010
Multiclass Pattern Recognition Extension for the New C-Mantec Constructive Neural Network Algorithm.
Cogn. Comput., 2010
Missing data imputation using statistical and machine learning methods in a real breast cancer problem.
Artif. Intell. Medicine, 2010
Proceedings of the Advances in Neural Networks, 2010
Constructive Neural Networks to Predict Breast Cancer Outcome by Using Gene Expression Profiles.
Proceedings of the Trends in Applied Intelligent Systems, 2010
2009
Proceedings of the Constructive Neural Networks, 2009
Constructive Neural Network Algorithms for Feedforward Architectures Suitable for Classification Tasks.
Proceedings of the Constructive Neural Networks, 2009
Neural Process. Lett., 2009
2008
A New Decomposition Algorithm for Threshold Synthesis and Generalization of Boolean Functions.
IEEE Trans. Circuits Syst. I Regul. Pap., 2008
Proceedings of the Artificial Neural Networks, 2008
2007
Neuronal selectivity, population sparseness, and ergodicity in the inferior temporal visual cortex.
Biol. Cybern., 2007
Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm.
Proceedings of the Computational and Ambient Intelligence, 2007
MaxSet: An Algorithm for Finding a Good Approximation for the Largest Linearly Separable Set.
Proceedings of the Artificial Neural Networks, 2007
2006
The influence of oppositely classified examples on the generalization complexity of Boolean functions.
IEEE Trans. Neural Networks, 2006
Generalization ability of Boolean functions implemented in feedforward neural networks.
Neurocomputing, 2006
A New Constructive Approach for Creating All Linearly Separable (Threshold) Functions.
Proceedings of the International Joint Conference on Neural Networks, 2006
Proceedings of the Artificial Neural Networks, 2006
Proceedings of the Artificial Neural Networks, 2006
2005
Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Artificial neural networks and prognosis in medicine. Survival analysis in breast cancer patients.
Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005
2004
Information encoding in the inferior temporal visual cortex: contributions of the firing rates and the correlations between the firing of neurons.
Biol. Cybern., 2004
Proceedings of the IEEE International Joint Conference on Neural Networks, 2004
2003
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003
2001
IEEE Trans. Neural Networks, 2001
2000
Neural Comput., 2000
1998