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05/11/2023
Band-Pass Filtering with High-Dimensional Time Series
The paper deals with the construction of a synthetic indicator of econom...
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02/15/2022
High-dimensional dynamic factor models: a selective survey and lines of future research
High-Dimensional Dynamic Factor Models are presented in detail: The main...
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09/23/2021
Individual and Collective Autonomous Development
The increasing complexity and unpredictability of many ICT scenarios let...
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02/24/2021
Multi-Task Attentive Residual Networks for Argument Mining
We explore the use of residual networks and neural attention for argumen...
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07/24/2020
Memory networks for consumer protection:unfairness exposed
Recent work has demonstrated how data-driven AI methods can leverage con...
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05/28/2020
Parallelizing Machine Learning as a Service for the End-User
As ML applications are becoming ever more pervasive, fully-trained syste...
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05/22/2019
Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning
Deep learning is bringing remarkable contributions to the field of argum...
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02/04/2019
Attention, please! A Critical Review of Neural Attention Models in Natural Language Processing
Attention is an increasingly popular mechanism used in a wide range of n...
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09/21/2018
Predicting the Usefulness of Amazon Reviews Using Off-The-Shelf Argumentation Mining
Internet users generate content at unprecedented rates. Building intelli...
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05/03/2018
CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service
Terms of service of on-line platforms too often contain clauses that are...
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04/10/2018
Natural Language Statistical Features of LSTM-generated Texts
Long Short-Term Memory (LSTM) networks have recently shown remarkable pe...
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08/11/2014