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About

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.

Interest
Topics
Details

Details

  • Name

    Alípio Jorge
  • Cluster

    Computer Science
  • Role

    Centre Coordinator
  • Since

    01st January 2008
022
Publications

2021

Statistically robust evaluation of stream-based recommender systems

Authors
Vinagre, J; Jorge, AM; Rocha, C; Gama, J;

Publication
IEEE Transactions on Knowledge and Data Engineering

Abstract

2021

A Hybrid Recommender System for Improving Automatic Playlist Continuation

Authors
Gatzioura, A; Vinagre, J; Jorge, AM; Sanchez Marre, M;

Publication
IEEE Transactions on Knowledge and Data Engineering

Abstract

2021

Time-Matters: Temporal Unfolding of Texts

Authors
Campos, R; Duque, J; Cândido, T; Mendes, J; Dias, G; Jorge, A; Nunes, C;

Publication
Lecture Notes in Computer Science - Advances in Information Retrieval

Abstract

2021

TLS-Covid19: A New Annotated Corpus for Timeline Summarization

Authors
Pasquali, A; Campos, R; Ribeiro, A; Santana, BS; Jorge, A; Jatowt, A;

Publication
Lecture Notes in Computer Science - Advances in Information Retrieval

Abstract

2021

The 4th International Workshop on Narrative Extraction from Texts: Text2Story 2021

Authors
Campos, R; Jorge, A; Jatowt, A; Bhatia, S; Finlayson, MA;

Publication
Lecture Notes in Computer Science - Advances in Information Retrieval

Abstract

Supervised
thesis

2020

Automatic identification of temporal features in events: towards narrative extraction from text

Author
Hugo Miguel Oliveira de Sousa

Institution
UP-FCUP

2020

Data Mining for Sensor Intelligence: Change Point Detection and Clustering

Author
Fábio Henrique da Silva Pereira

Institution
UP-FCUP

2020

Data Mining for Automatic Generation of Software Tests

Author
Alberto Plácido Oliveira

Institution
UP-FCUP

2020

Constraint-based Route Recommendation

Author
José Pedro Rodrigues dos Santos e Medeiros

Institution
UP-FEP

2020

Interpretabilidade em Modelos de Sistemas de Recomendação

Author
Joana Filipa Vieira Trindade

Institution
INESCTEC