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Enzo Tartaglione

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Neural Networks : the Official Journal of the International Neural Network Society|December 15, 2021
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networksEnzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 3, 2025
STanH : Parametric Quantization for Variable Rate Learned Image CompressionAlberto Presta, Enzo Tartaglione, Attilio Fiandrotti, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 15, 2021
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural NetworksEnzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, et al.
International Journal of Environmental Research and Public Health|September 25, 2020
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small DataEnzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, et al.
Physical Review Letters|July 14, 2018
Role of Synaptic Stochasticity in Training Low-Precision Neural NetworksCarlo Baldassi, Federica Gerace, Hilbert J Kappen, et al.
Frontiers in Neuroinformatics|March 27, 2023
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic strokeUmberto A Gava, Federico D'Agata, Enzo Tartaglione, et al.
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Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|December 15, 2021
LOss-Based SensiTivity rEgulaRization: Towards deep sparse neural networksEnzo Tartaglione, Andrea Bragagnolo, Attilio Fiandrotti, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|March 3, 2025
STanH : Parametric Quantization for Variable Rate Learned Image CompressionAlberto Presta, Enzo Tartaglione, Attilio Fiandrotti, et al.
IEEE Transactions on Neural Networks and Learning Systems|June 15, 2021
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural NetworksEnzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, et al.
International Journal of Environmental Research and Public Health|September 25, 2020
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small DataEnzo Tartaglione, Carlo Alberto Barbano, Claudio Berzovini, et al.
Physical Review Letters|July 14, 2018
Role of Synaptic Stochasticity in Training Low-Precision Neural NetworksCarlo Baldassi, Federica Gerace, Hilbert J Kappen, et al.
Frontiers in Neuroinformatics|March 27, 2023
Neural network-derived perfusion maps: A model-free approach to computed tomography perfusion in patients with acute ischemic strokeUmberto A Gava, Federico D'Agata, Enzo Tartaglione, et al.
Pageof 1