Giuseppe Serra | DeepAI

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∙ 09/06/2023

FArMARe: a Furniture-Aware Multi-task methodology for Recommending Apartments based on the user interests

Nowadays, many people frequently have to search for new accommodation op...

0 Ali Abdari, et al. ∙

∙ 06/27/2023

UniUD Submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2023

In this report, we present the technical details of our submission to th...

0 Alex Falcon, et al. ∙

∙ 06/08/2023

Extensive Evaluation of Transformer-based Architectures for Adverse Drug Events Extraction

Adverse Event (ADE) extraction is one of the core tasks in digital pharm...

3 Simone Scaboro, et al. ∙

∙ 05/08/2023

Computation of Rate-Distortion-Perception Function under f-Divergence Perception Constraints

In this paper, we study the computation of the rate-distortion-perceptio...

0 Giuseppe Serra, et al. ∙

∙ 04/03/2023

Learning Sparsity of Representations with Discrete Latent Variables

Deep latent generative models have attracted increasing attention due to...

6 Zhao Xu, et al. ∙

∙ 10/21/2022

Generalizing over Long Tail Concepts for Medical Term Normalization

Medical term normalization consists in mapping a piece of text to a larg...

29 Beatrice Portelli, et al. ∙

∙ 09/28/2022

Learning to Explain Graph Neural Networks

Graph Neural Networks (GNNs) are a popular class of machine learning mod...

0 Giuseppe Serra, et al. ∙

∙ 09/07/2022

AILAB-Udine@SMM4H 22: Limits of Transformers and BERT Ensembles

This paper describes the models developed by the AILAB-Udine team for th...

9 Beatrice Portelli, et al. ∙

∙ 09/06/2022

Increasing Adverse Drug Events extraction robustness on social media: case study on negation and speculation

In the last decade, an increasing number of users have started reporting...

5 Simone Scaboro, et al. ∙

∙ 08/03/2022

A Feature-space Multimodal Data Augmentation Technique for Text-video Retrieval

Every hour, huge amounts of visual contents are posted on social media a...

0 Alex Falcon, et al. ∙

∙ 07/10/2022

Human-Centric Research for NLP: Towards a Definition and Guiding Questions

With Human-Centric Research (HCR) we can steer research activities so th...

7 Bhushan Kotnis, et al. ∙

∙ 06/22/2022

UniUD-FBK-UB-UniBZ Submission to the EPIC-Kitchens-100 Multi-Instance Retrieval Challenge 2022

This report presents the technical details of our submission to the EPIC...

10 Alex Falcon, et al. ∙

∙ 04/27/2022

Relevance-based Margin for Contrastively-trained Video Retrieval Models

Video retrieval using natural language queries has attracted increasing ...

3 Alex Falcon, et al. ∙

∙ 03/16/2022

Learning video retrieval models with relevance-aware online mining

Due to the amount of videos and related captions uploaded every hour, de...

0 Alex Falcon, et al. ∙

∙ 09/21/2021

NADE: A Benchmark for Robust Adverse Drug Events Extraction in Face of Negations

Adverse Drug Event (ADE) extraction models can rapidly examine large col...

8 Simone Scaboro, et al. ∙

∙ 07/25/2021

Can the Crowd Judge Truthfulness? A Longitudinal Study on Recent Misinformation about COVID-19

Recently, the misinformation problem has been addressed with a crowdsour...

0 Kevin Roitero, et al. ∙

∙ 05/19/2021

Improving Adverse Drug Event Extraction with SpanBERT on Different Text Typologies

In recent years, Internet users are reporting Adverse Drug Events (ADE) ...

14 Beatrice Portelli, et al. ∙

∙ 08/13/2020

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?

Misinformation is an ever increasing problem that is difficult to solve ...

0 Kevin Roitero, et al. ∙

∙ 10/09/2019

Text-to-Image Synthesis Based on Machine Generated Captions

Text to Image Synthesis refers to the process of automatic generation of...

6 Marco Menardi, et al. ∙

∙ 09/21/2018

Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining

Internet users generate content at unprecedented rates. Building intelli...

0 Marco Passon, et al. ∙

∙ 06/26/2017

Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention

Image captioning has been recently gaining a lot of attention thanks to ...

0 Marcella Cornia, et al. ∙

∙ 11/29/2016

Predicting Human Eye Fixations via an LSTM-based Saliency Attentive Model

Data-driven saliency has recently gained a lot of attention thanks to th...

0 Marcella Cornia, et al. ∙

∙ 09/05/2016

A Deep Multi-Level Network for Saliency Prediction

This paper presents a novel deep architecture for saliency prediction. C...

0 Marcella Cornia, et al. ∙

∙ 07/28/2016

Video Registration in Egocentric Vision under Day and Night Illumination Changes

With the spread of wearable devices and head mounted cameras, a wide ran...

0 Stefano Alletto, et al. ∙

∙ 07/02/2014

A Data-Driven Approach for Tag Refinement and Localization in Web Videos

Tagging of visual content is becoming more and more widespread as web-ba...

0 Lamberto Ballan, et al. ∙

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