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Rita Paula Ribeiro

Senior Researcher

Rita P. Ribeiro is an Assistant Professor at the Department of Computer Science at the Faculty of Sciences of the University of Porto (FCUP) and a Senior Researcher at the Laboratory of Artificial Intelligence and Decision Support (LIAAD) at the Institute of Systems Engineering and Computing, Technology and Science (INESCTEC). Her main research interests focus on learning problems in imbalanced domains, anomaly detection, evaluation issues in learning tasks and application problems related to social good and environmental impact. She has been involved in several research projects concerning ecological problems, fraud detection and predictive maintenance applications. She is a member of the program committee of several international conferences, also serves as an editor and reviewer for several international journals and has been involved in the organization of various scientific events.

Domains

Artificial Intelligence

Projects

T4CDTKC

FailStopper

Early failure detection of public transport vehicles in operational context

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Publications

Anomaly Detection in Pet Behavioural Data

Silva, I;Ribeiro, RP;Gama, J;

2025

MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT II

Data Science for Fighting Environmental Crime

Barbosa, M;Ribeiro, C;Gomes, F;Ribeiro, RP;Gama, J;

2025

MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT II

Predictive Maintenance for Industry 4.0 & 5.0

Ribeiro, RP;

2024

Proceedings of the 1st International Conference on Explainable AI for Neural and Symbolic Methods, EXPLAINS 2024, Porto, Portugal, November 20-22, 2024.

Detecting and Explaining Anomalies in the Air Production Unit of a Train

Davari, N;Veloso, B;Ribeiro, RP;Gama, J;

2024

39TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2024

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Supervised Theses

Anticipation of Perturbances in Telco Services

Tânia Margarida Marques Carvalho

M - 2019

UP-FCUP

Exploratory Analysis of Meteorological Data

Joel Agostinho Nunes Pinto de Sousa

M - 2019

UP-FCUP

Payment Default Prediction in Telco Services

Ricardo Dias Azevedo

M - 2019

UP-FCUP

Data Mining study on data collected in Arctic Oceanographic Campaigns

Tânia Isabel Alexandre Mestre Ferreira

M - 2020

UP-FCUP

See more supervised theses

Centres

Artificial Intelligence and Decision Support

Our Laboratory of Artificial Intelligence and Decision Support (LIAAD) conducts research in the fields of Artificial Intelligence, Machine Learning, Data Science, and Modelling. These areas are cross-cutting and apply to all sectors of society and the economy. The vast amounts of data being collected, alongside the ubiquity of digitalisation and sensorisation, are increasingly creating opportunities and challenges for automating decision support. The combination of Machine Learning and complex models is transforming the economy, healthcare, justice, industry, science, public administration, and education. This encourages us to invest in diverse technological and scientific approaches and perspectives. Our overarching strategy is to explore the flow and diversification of data, and to invest in research lines that will lead to the development of applied Artificial Intelligence foundations and models that are responsible and human centred.

Information and Contacts

Phone

+351220402963

Email

[email protected]