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About

About

João Gama is Associate Professor of the Faculty of Economy, University of Porto. He is a researcher and vice-director of LIAAD, a group belonging to INESC TEC. He got the PhD degree from the University of Porto, in 2000. He is Senior member of IEEE.

He has worked in several National and European projects on Incremental and Adaptive learning systems, Ubiquitous Knowledge Discovery, Learning from Massive, and Structured Data, etc. He served as Co-Program chair of ECML'2005, DS'2009, ADMA'2009, IDA' 2011, and ECML/PKDD'2015. He served as track chair on Data Streams with ACM SAC from 2007 till 2016. He organized a series of Workshops on Knowledge Discovery from Data Streams with ECML/PKDD, and Knowledge Discovery from Sensor Data with ACM SIGKDD. He is author of several books in Data Mining (in Portuguese) and authored a monograph on Knowledge Discovery from Data Streams. He authored more than 250 peer-reviewed papers in areas related to machine learning, data mining, and data streams. He is a member of the editorial board of international journals ML, DMKD, TKDE, IDA, NGC, and KAIS. He (co-)supervised more than 12 PhD students and 50 Msc students.

Interest
Topics
Details

Details

  • Name

    João Gama
  • Cluster

    Computer Science
  • Role

    Research Coordinator
  • Since

    01st April 2009
014
Publications

2023

Online Anomaly Explanation: A Case Study on Predictive Maintenance

Authors
Ribeiro, RP; Mastelini, SM; Davari, N; Aminian, E; Veloso, B; Gama, J;

Publication
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT II

Abstract

2023

An Online Data-Driven Predictive Maintenance Approach for Railway Switches

Authors
Tome, ES; Ribeiro, RP; Veloso, B; Gama, J;

Publication
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT II

Abstract

2023

Ethical and Technological AI Risks Classification: A Human Vs Machine Approach

Authors
Teixeira, S; Veloso, B; Rodrigues, JC; Gama, J;

Publication
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT I

Abstract

2023

Fault Forecasting Using Data-Driven Modeling: A Case Study for Metro do Porto Data Set

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

Publication
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT II

Abstract

2023

Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2022, Grenoble, France, September 19-23, 2022, Proceedings, Part I

Authors
Koprinska, I; Mignone, P; Guidotti, R; Jaroszewicz, S; Fröning, H; Gullo, F; Ferreira, PM; Roqueiro, D; Ceddia, G; Nowaczyk, S; Gama, J; Ribeiro, RP; Gavaldà, R; Masciari, E; Ras, ZW; Ritacco, E; Naretto, F; Theissler, A; Biecek, P; Verbeke, W; Schiele, G; Pernkopf, F; Blott, M; Bordino, I; Danesi, IL; Ponti, G; Severini, L; Appice, A; Andresini, G; Medeiros, I; Graça, G; Cooper, LAD; Ghazaleh, N; Richiardi, J; Miranda, DS; Sechidis, K; Canakoglu, A; Pidò, S; Pinoli, P; Bifet, A; Pashami, S;

Publication
PKDD/ECML Workshops (1)

Abstract

Supervised
thesis

2022

Mobility Patterns from Data

Author
Thiago de Andrade Silva

Institution
UP-FEUP

2022

Short-Term Forecasting of MIBEL Day-Ahead Prices

Author
Paulo Coelho Moreira de Azevedo

Institution
UP-FEP

2022

Forecasting for Solar Power Farms

Author
Tiago Mourão Pires

Institution
UP-FEP

2022

European Central Bank Speeches: A Sentiment Analysis Case Study

Author
Gustavo de Oliveira Vital

Institution
UP-FEP

2022

Incremental Temporal Interval Mining Methodologies

Author
Ana Micaela Gomes Batista

Institution
UP-FCUP