activity
20162021
most citedEfficient Training for Positive Unlabeled Learning

74 citations · 83 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MM2021★ 4 cited

Multi-clue reconstruction of sharing chains for social media images

Sebastiano Verde, Cecilia Pasquini, Federica Lago +4

The amount of multimedia content shared everyday, combined with the level of realism reached by recent fake-generating technologies, threatens to impair the trustworthiness of onli…

cs.CV2018★ 3 cited

Accurate and Scalable Image Clustering Based On Sparse Representation of Camera Fingerprint

Quoc-Tin Phan, Giulia Boato, Francesco G. B. De Natale

Clustering images according to their acquisition devices is a well-known problem in multimedia forensics, which is typically faced by means of camera Sensor Pattern Noise (SPN). Su…

cs.NE2017★ 2 cited

Training Feedforward Neural Networks with Standard Logistic Activations is Feasible

Emanuele Sansone, Francesco G. B. De Natale

Training feedforward neural networks with standard logistic activations is considered difficult because of the intrinsic properties of these sigmoidal functions. This work aims at…

cs.LG2016★ 74 cited

Efficient Training for Positive Unlabeled Learning

Emanuele Sansone, Francesco G. B. De Natale, Zhi-Hua Zhou

Positive unlabeled (PU) learning is useful in various practical situations, where there is a need to learn a classifier for a class of interest from an unlabeled data set, which ma…

cs.MM2016

Automatic Synchronization of Multi-User Photo Galleries

E. Sansone, K. Apostolidis, N. Conci +3

In this paper we address the issue of photo galleries synchronization, where pictures related to the same event are collected by different users. Existing solutions to address the…