activity
20212025
most citedZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling

25 citations · 53 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2025

An Explainable Machine Learning Framework for Railway Predictive Maintenance using Data Streams from the Metro Operator of Portugal

Silvia García-Méndez, Francisco de Arriba-Pérez, Fátima Leal +3

This work contributes to a real-time data-driven predictive maintenance solution for Intelligent Transportation Systems. The proposed method implements a processing pipeline compri…

cs.CL2024★ 8 cited

Simulation, Modelling and Classification of Wiki Contributors: Spotting The Good, The Bad, and The Ugly

Silvia García Méndez, Fátima Leal, Benedita Malheiro +4

Data crowdsourcing is a data acquisition process where groups of voluntary contributors feed platforms with highly relevant data ranging from news, comments, and media to knowledge…

cs.AI2023★ 13 cited

Explainable Predictive Maintenance

Sepideh Pashami, Slawomir Nowaczyk, Yuantao Fan +13

Explainable Artificial Intelligence (XAI) fills the role of a critical interface fostering interactions between sophisticated intelligent systems and diverse individuals, including…

cs.LG2023★ 2 cited

Modeling Events and Interactions through Temporal Processes -- A Survey

Angelica Liguori, Luciano Caroprese, Marco Minici +5

In real-world scenario, many phenomena produce a collection of events that occur in continuous time. Point Processes provide a natural mathematical framework for modeling these seq…

cs.LG2022★ 2 cited

A Benchmark dataset for predictive maintenance

Bruno Veloso, João Gama, Rita P. Ribeiro +1

The paper describes the MetroPT data set, an outcome of a eXplainable Predictive Maintenance (XPM) project with an urban metro public transportation service in Porto, Portugal. The…

cs.CL2022★ 25 cited

ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling

Alexandre Alcoforado, Thomas Palmeira Ferraz, Rodrigo Gerber +5

Traditional text classification approaches often require a good amount of labeled data, which is difficult to obtain, especially in restricted domains or less widespread languages.…

cs.AI2021★ 3 cited

DEBACER: a method for slicing moderated debates

Thomas Palmeira Ferraz, Alexandre Alcoforado, Enzo Bustos +6

Subjects change frequently in moderated debates with several participants, such as in parliamentary sessions, electoral debates, and trials. Partitioning a debate into blocks with…