Pavel Bernard Brazdil

Domains

Artificial Intelligence and Decision Support

Publications

Advances in Metalearning: ECML/PKDD Workshop on Meta-Knowledge Transfer

Brazdil, P;van Rijn, JN;Gouk, H;Mohr, F;

2022

ECML/PKDD Workshop on Meta-Knowledge Transfer, 23 September 2022, Grenoble, France

Brazdil, P;van Rijn, JN;Gouk, H;Mohr, F;

2022

Meta-Knowledge Transfer @ ECML/PKDD

Symbolic Versus Deep Learning Techniques for Explainable Sentiment Analysis

Muhammad, SH;Brazdil, P;Jorge, A;

2023

PROGRESS IN ARTIFICIAL INTELLIGENCE, EPIA 2023, PT I

AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

Muhammad, SH;Abdulmumin, I;Ayele, AA;Ousidhoum, N;Adelani, DI;Yimam, SM;Ahmad, IS;Beloucif, M;Mohammad, SM;Ruder, S;Hourrane, O;Jorge, A;Brazdil, P;António Ali, FDM;David, D;Osei, S;Bello, BS;Lawan, FI;Gwadabe, T;Rutunda, S;Belay, TD;Messelle, WB;Balcha, HB;Chala, SA;Gebremichael, HT;Opoku, B;Arthur, S;

2023

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023

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Supervised theses

Algoritmos de otimização quântica

Mafalda Francisco Ramôa da Costa Alves

UM-EEUM

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.