109 documents found, page 1 of 11
SLEEC assignment of descriptors to judgments of the Supreme Court of Justice of...
Zanatti, Martim; Ribeiro, Ricardo; Pinto, H. Sofia; Borbinha, JoséExtreme Multi-label Classification (XML) involves predicting multiple labels for a given input, a fundamental problem in domains such as text categorization, recommendation systems, and image tagging. This task presents significant challenges for machine learning and information retrieval, particularly given the exponential growth of online data and the concomitant need for algorithms capable of handling large-...
Decarbonization Transition Pathways and Regional Trends: Insights from One Mill...
Bento, Nuno; Alves, Tiago; Ribeiro, Ricardo; Fontes, MargaridaABSTRACT: As global temperatures near critical thresholds and emissions continue to rise, the urgency for strategic, accelerated decarbonization grows. Despite a vast climate mitigation literature, a systematic understanding of actionable pathways remains limited. Here, we apply artificial intelligence to analyze over one million scientific papers (2011–2021), generating a data-driven typology of six archetypal...
AI-Based Models to Predict Decompensation on Traumatic Brain Injury Patients.
Ribeiro, Ricardo; Neves, Inês; Oliveira, Hélder P; Pereira, TaniaTraumatic Brain Injury (TBI) is a form of brain injury caused by external forces, resulting in temporary or permanent impairment of brain function. Despite advancements in healthcare, TBI mortality rates can reach 30%-40% in severe cases. This study aims to assist clinical decision-making and enhance patient care for TBI-related complications by employing Artificial Intelligence (AI) methods and data-driven app...
A deep learning approach for transportation mode identification using a transfo...
Ribeiro, Ricardo; Trifan, Alina; Neves, António J. R.Global positioning system data play a crucial role in comprehending an individual’s life due to its ability to provide geographic positions and timestamps. However, it is a challenge to identify the transportation mode used during a trajectory due to the large amount of spatiotemporal data generated, and the distinct spatial characteristics exhibited. This paper introduces a novel approach for transportation mo...
Typology of pathways for decarbonization [Resumo]
Bento, Nuno; Alves, Tiago; Ribeiro, Ricardo; Fontes, MargaridaABSTRACT: Addressing the urgent climate change requires a clear knowledge of the options available, as well as an understanding of the possible strategies to reduce carbon emissions. Identifying realistic pathways for decarbonization is crucial to inform agents’ decisions about the relevant measures (Turnheim & Nykvist, 2018), with unawareness of these pathways often delaying climate action (Bergek et al, 2023)...
Development and validation of a questionnaire to assess coaches’ perceptions ab...
Gomes, Jorge; Teques, Pedro; Gomes, Antônio Carlos; Roriz, Paulo; Ribeiro, RicardoDespite the substantial development of the periodisation of football training, little is known about the perceptions coaches have concerning the methodological dimension of periodisation. The present study aimed to develop and validate the Training Periodisation Assessment Scale (TPAS) to demonstrate its psychometric properties in two samples of football coaches. The objective was achieved in 3 phases: (1) deve...
Towards cyberbullying detection : building, benchmarking and longitudinal analy...
Ferreira, Paula; Pereira, Nadia; Rosa, Hugo; Oliveira, Sofia; Coheur, Luisa; Francisco, Sofia; Souza, Sidclay; Ribeiro, Ricardo; Carvalho, Joao P.Offense and hate speech are a source of online conflicts which have become common in social media and, as such, their study is a growing topic of research in machine learning and natural language processing. This article presents two Portuguese language offense-related datasets that deepen the study of the subject: an Aggressiveness dataset and a Conflicts/Attacks dataset. While the former is similar to other o...
Typology of pathways for decarbonization [Resumo]
Bento, Nuno; Alves, Tiago; Ribeiro, Ricardo; Fontes, MargaridaABSTRACT: Addressing the urgent climate change requires a clear knowledge of the options available, as well as an understanding of the possible strategies to reduce carbon emissions. Identifying realistic pathways for decarbonization is crucial to inform agents’ decisions about the relevant measures (Turnheim & Nykvist, 2018), with unawareness of these pathways often delaying climate action (Bergek et al, 2023)...
Towards Cyberbullying Detection: Building, Benchmarking and Longitudinal Analys...
Ferreira, Paula; Salgado Pereira, Nádia; Rosa, Hugo; Oliveira, Sofia; Coheur, Luísa; Francisco, Sofia; Souza, Sidclay B.; Ribeiro, RicardoOffense and hate speech are a source of online conflicts which have become common in social media and, as such, their study is a growing topic of research in machine learning and natural language processing. This article presents two Portuguese language offense-related datasets that deepen the study of the subject: an Aggressiveness dataset and a Conflicts/Attacks dataset. While the former is similar to other o...
Common-ownership versus cross-ownership: evidence from the automobile industry
Huse, Cristian; Ribeiro, Ricardo; Verboven, FrankOverlapping ownership has gained considerable momentum in the last decades, yet little is known about the role of its sources. We quantify the relative importance of common-ownership (by shareholders external to an industry) and cross-ownership (by firms within the industry). We focus on the global automobile industry, over the period 2007–2021, and document that common-ownership links constitute between 31% an...