Nowadays, many people frequently have to search for new accommodation
op...
In this report, we present the technical details of our submission to th...
Adverse Event (ADE) extraction is one of the core tasks in digital
pharm...
In this paper, we study the computation of the rate-distortion-perceptio...
Deep latent generative models have attracted increasing attention due to...
Medical term normalization consists in mapping a piece of text to a larg...
Graph Neural Networks (GNNs) are a popular class of machine learning mod...
This paper describes the models developed by the AILAB-Udine team for th...
In the last decade, an increasing number of users have started reporting...
Every hour, huge amounts of visual contents are posted on social media a...
With Human-Centric Research (HCR) we can steer research activities so th...
This report presents the technical details of our submission to the
EPIC...
Video retrieval using natural language queries has attracted increasing
...
Due to the amount of videos and related captions uploaded every hour, de...
Adverse Drug Event (ADE) extraction models can rapidly examine large
col...
Recently, the misinformation problem has been addressed with a
crowdsour...
In recent years, Internet users are reporting Adverse Drug Events (ADE) ...
Misinformation is an ever increasing problem that is difficult to solve ...
Text to Image Synthesis refers to the process of automatic generation of...
Internet users generate content at unprecedented rates. Building intelli...
Image captioning has been recently gaining a lot of attention thanks to ...
Data-driven saliency has recently gained a lot of attention thanks to th...
This paper presents a novel deep architecture for saliency prediction.
C...
With the spread of wearable devices and head mounted cameras, a wide ran...
Tagging of visual content is becoming more and more widespread as web-ba...