Francesco Diotalevi
According to our database1,
Francesco Diotalevi
authored at least 15 papers
between 1999 and 2022.
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Bibliography
2022
2018
A 5 pJ/pulse at 1-Gpps Pulsed Transmitter Based on Asynchronous Logic Master-Slave PLL Synthesis.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018
2017
Event-driven encoding of off-the-shelf tactile sensors for compression and latency optimisation for robotic skin.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2017
2015
A modular configurable system for closed-loop bidirectional brain-machine interfaces.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015
2004
Appl. Soft Comput., 2004
2001
Weight perturbation learning algorithm with local learning rate adaptation for the classification of remote-sensing images.
Proceedings of the 9th European Symposium on Artificial Neural Networks, 2001
2000
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000
An analog on-chip learning circuit architecture of the weight perturbation algorithm.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000
Evaluation of Gradient Descent Learning Algorithms with an Adaptive Local Rate Technique for Hierarchical Feed Forward Architectures.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
Gradient Descent Learning Algorithm for Hierarchical Neural Networks: A Case Study in Industrial Quality.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999
Evaluation and Validation of Local and Adaptive Weight Perturbation Learning Algorithms for Optical Characters Recognition Applications.
Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999