Enzo Tartaglione

Dataset, May, 2021

HEMP: High-order entropy minimization for neural network compression.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Dysplasia grading of colorectal polyps through CNN analysis of WSI.

[BibT_eX]

[DOI]

CoRR, 2021

A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke.

[BibT_eX]

[DOI]

CoRR, 2021

Dysplasia Grading of Colorectal Polyps Through Convolutional Neural Network Analysis of Whole Slide Images.

[BibT_eX]

[DOI]

Proceedings of 2021 International Conference on Medical Imaging and Computer-Aided Diagnosis, 2021

A Hitchhiker's Guide towards Transactive Memory System Modeling in Small Group Interactions.

[BibT_eX]

[DOI]

Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021

On the Role of Structured Pruning for Neural Network Compression.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Unitopatho, A Labeled Histopathological Dataset for Colorectal Polyps Classification and Adenoma Dysplasia Grading.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Bridging the gap between debiasing and privacy for deep learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Capsule Networks with Routing Annealing.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

EnD: Entangling and Disentangling Deep Representations for Bias Correction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Unveiling COVID-19 from Chest X-ray with deep learning: a hurdles race with small data.

[BibT_eX]

[DOI]

Claudio Berzovini

Marco Calandri

CoRR, 2020

A non-discriminatory approach to ethical deep learning.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Trust, 2020

Delving in the loss landscape to embed robust watermarks into neural networks.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Pruning Artificial Neural Networks: A Way to Find Well-Generalizing, High-Entropy Sharp Minima.

[BibT_eX]

[DOI]

Andrea Bragagnolo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

Take a Ramble into Solution Spaces for Classification Problems in Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Post-synaptic Potential Regularization Has Potential.

[BibT_eX]

[DOI]

Daniele Perlo

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

2018

Learning sparse neural networks via sensitivity-driven regularization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

On the role of synaptic stochasticity in training low-precision neural networks.

[BibT_eX]

[DOI]

CoRR, 2017

2015

Communication Scheduling and Buslet Synthesis for Low-Interconnect HLS Designs.

[BibT_eX]

[DOI]