INESC TEC
INESC TEC
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Alípio Jorge

Alípio Jorge

Centre Coordinator

I am an associate professor at the Department of Computer Science of the Faculty of Science of the University of Porto and the coordinator of LIAAD , the Artificial Intelligence and Decision Support Lab of UP. LIAAD is a unit of INESC TEC (Laboratório Associado) since 2007. I am a PhD in Computer Science by U. Porto, MSc. on Foundations of Advanced Information Technology by the Imperial Collegeand BSc. in Applied Maths and Computer Science, currently Computer Science (U. Porto). My research interests are Data Mining and Machine Learning, in particular association rules, web and text intelligence and data mining for decision support. My past research also includes Inductive Logic Programming and Collaborative Data Mining. I lecture courses related to programming, information processing, data mining, and other areas of computing. While at the Faculty of Economics, where I stayed from 1996 to 2009, I launched, with other colleagues, the MSc. on Data Analysis and Decisison Support Systems, which I coordinated from 2000 to April 2008. I lead research projects on data mining and web intelligence. I was the director of the Masters in Computer Science at DCC-FCUP from June 2010 to August 2013. I co-chaired international conferences (ECML/PKD 2015, Discovery Science 2009, ECML/PKDD 05 and EPIA 01), workshops and seminars in data mining and artificial intelligence. I was Vice-President of APPIA the Portuguese Association for Artificial Intelligence.

Publications

Keywords attention for fake news detection using few positive labels

de Souza, MC;Golo, MPS;Jorge, AMG;de Amorim, ECF;Campos, RNT;Marcacini, RM;Rezende, SO;

2024

INFORMATION SCIENCES

Heterogeneity in families with ATTRV30M amyloidosis: a historical and longitudinal Portuguese case study impact for genetic counselling

Pedroto, M;Coelho, T;Fernandes, J;Oliveira, A;Jorge, A;Mendes Moreira, J;

2024

AMYLOID-JOURNAL OF PROTEIN FOLDING DISORDERS

Report on the Second International Workshop on Narrative Extraction from Texts (Text2Story 2019)

Jorge, AM;Campos, R;Jatowt, A;Bhatia, S;Pasquali, A;Cordeiro, JP;Rocha, C;Mangaravite, V;

2019

ACM SIGIR Forum

<i>Physio</i>: An LLM-Based Physiotherapy Advisor

Almeida, R;Sousa, H;Cunha, LF;Guimaraes, N;Campos, R;Jorge, A;

2024

ADVANCES IN INFORMATION RETRIEVAL, ECIR 2024, PT V

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Supervised Theses

APP Consumer Response: A.I. Modelling Towards Optimal Managerial Decisions in Mobile Marketing.

Fabiane Valéria de Oliveira Bastos Valente

D - 2019

UP-FEP

Time-To-Event Prediction

Maria José Gomes Pedroto

D - 2019

UP-FEUP

Political mobilization in Brazil from 2013 to 2017: a technopolitical analysis using surveys and social network data mining

Marcela Canavarro Rodrigues Martins

D - 2019

UP-FEUP

Dataset morphing to analyze the performance of recommender systems

André Gomes Ferreira Araújo Correia

M - 2019

UP-FEUP

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Information and Contacts