research
∙
08/01/2022
Lung nodules segmentation from CT with DeepHealth toolkit
The accurate and consistent border segmentation plays an important role ...
share
research
∙
07/12/2021
HEMP: High-order Entropy Minimization for neural network comPression
We formulate the entropy of a quantized artificial neural network as a d...
research
∙
02/07/2021
SeReNe: Sensitivity based Regularization of Neurons for Structured Sparsity in Neural Networks
Deep neural networks include millions of learnable parameters, making th...
research
∙
01/25/2021
UniToPatho, a labeled histopathological dataset for colorectal polyps classification and adenoma dysplasia grading
Histopathological characterization of colorectal polyps allows to tailor...
research
∙
11/16/2020
LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks
LOBSTER (LOss-Based SensiTivity rEgulaRization) is a method for training...
research
∙
09/21/2020
DR2S : Deep Regression with Region Selection for Camera Quality Evaluation
In this work, we tackle the problem of estimating a camera capability to...
research
∙
05/28/2019
Optimizing Adaptive Video Streaming in Mobile Networks via Online Learning
In this paper, we propose a novel algorithm for video rate adaptation in...
research
∙
05/28/2019
Online Learning for Robust Adaptive Video Streaming in Mobile Networks
In this paper, we propose a novel algorithm for video quality adaptation...
research
∙
01/11/2019
Feature Fusion for Robust Patch Matching With Compact Binary Descriptors
This work addresses the problem of learning compact yet discriminative p...
research
∙
10/28/2018
Learning Sparse Neural Networks via Sensitivity-Driven Regularization
The ever-increasing number of parameters in deep neural networks poses c...
research
∙
07/24/2017
Simple Countermeasures to Mitigate the Effect of Pollution Attack in Network Coding Based Peer-to-Peer Live Streaming
Network coding based peer-to-peer streaming represents an effective solu...
research
∙
07/07/2017
