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Artificial Intelligence and Decision Support

At LIAAD, we work on the very strategic area of Data Science, which has an increasing interest worldwide and is critical to all areas of human activity. The huge amounts of collected data (Big Data) and the ubiquity of devices with sensors and/or processing power offer opportunities and challenges to scientists and engineers. Moreover, the demand for complex models for objective decision support is spreading in business, health, science, e-government and e-learning, which encourages us to invest in different approaches to modelling.

Our overall strategy is to take advantage of the data flood and diversification, and to invest in research lines that will help reduce the gap between collected and useful data, while offering diverse modelling solutions.

At LIAAD, our fundamental scientific principals are machine learning, statistics, optimisation and mathematics.

Latest News
Computer Science and Engineering

For Miriam Santos, “data should be perceived as a social object” – and the responsible creation was one of the main topics at the ERCIM Forum Beyond Compliance 2025

The 2025 edition of the Forum on Digital Ethics in Research – Beyond Compliance, organised within the scope of ERCIM, will be a particularly memorable occasion for Miriam Seoane Santos. In addition to receiving the ERCIM Cor Baayen Award, announced a few weeks earlier, the INESC TEC researcher took part as a speaker in the session Data altruism and open resources, which sparked wide-ranging reflections on the role of Artificial Intelligence (AI) in everyday life.

26th January 2026

Systems Engineering and Management

Hybrid Human–AI Collaborative Networks took centre stage at international conference with INESC TEC participation

The 26th edition of the international IFIP/SOCOLNET Working Conference on Virtual Enterprises took place in Porto, bringing together more than 100 participants and featuring contributions from INESC TEC in the organisational process. 

20th January 2026

AI is made of “springs, winters” and (many) questions: Alípio Jorge looked to the past, projected the future – and sought answers

What is Artificial Intelligence and why is it taking centre stage? How do the language models we use on a daily basis work? What role can AI play in Portugal, and how far can it go? These questions were addressed at the Salão Nobre of the University of Porto Rectory (U.Porto), where INESC TEC researcher Alípio Jorge led the session Inteligência Artificial: onde estamos em 2025? 

18th December 2025

Artificial Intelligence

Artificial Intelligence may help in tackling Paramyloidosis

Paramyloidosis (also known as Familial Amyloid Polyneuropathy or “Doença dos Pezinhos” in Portugal) is a rare and progressive genetic disorder characterised by the production of amyloid fibres by the liver, which are deposited in tissues and nerves, gradually destroying them; it was discovered in 1952 by the Portuguese physician Corino de Andrade. In the year marking the 20th anniversary of the doctor’s passing, the Associação Portuguesa de Paramiloidose (APP) observed the date with the conference “Paramiloidose: uma viagem ao passado, presente e futuro” - where Artificial Intelligence (AI) played a vital role, with Alípio Jorge representing INESC TEC.

15th December 2025

Artificial Intelligence

When AI predicts and explains: electric buses with a new ally in fault prediction

Combining advanced techniques in machine learning, deep learning, and eXplainable AI, a new system is being developed to predict operational faults and generate understandable explanations for maintenance teams. FOX-PM is a project bringing together INESC TEC and CaetanoBus to create an innovative online and explainable predictive maintenance system for electric bus fleets. The goal is to increase system reliability, reduce downtime, and optimise resource use.

07th November 2025

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Publications

LIAAD Publications

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2026

Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VII

Authors
Ribeiro, RP; Pfahringer, B; Japkowicz, N; Larrañaga, P; Jorge, AM; Soares, C; Abreu, PH; Gama, J;

Publication
ECML/PKDD (7)

Abstract

2026

Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part VI

Authors
Ribeiro, RP; Pfahringer, B; Japkowicz, N; Larrañaga, P; Jorge, AM; Soares, C; Abreu, PH; Gama, J;

Publication
ECML/PKDD (6)

Abstract

2026

Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part V

Authors
Ribeiro, RP; Pfahringer, B; Japkowicz, N; Larrañaga, P; Jorge, AM; Soares, C; Abreu, PH; Gama, J;

Publication
ECML/PKDD (5)

Abstract

2026

Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part IV

Authors
Ribeiro, RP; Pfahringer, B; Japkowicz, N; Larrañaga, P; Jorge, AM; Soares, C; Abreu, PH; Gama, J;

Publication
ECML/PKDD (4)

Abstract

2026

Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2025, Porto, Portugal, September 15-19, 2025, Proceedings, Part III

Authors
Ribeiro, RP; Pfahringer, B; Japkowicz, N; Larrañaga, P; Jorge, AM; Soares, C; Abreu, PH; Gama, J;

Publication
ECML/PKDD (3)

Abstract

Facts & Figures

72Researchers

2016

23Academic Staff

2020

14Proceedings in indexed conferences

2020