Scholar
Luís Torgo
Google Scholar ID: 2vyIvbsAAAAJ
Canada Research Chair, Professor, Faculty of Computer Science, Dalhousie University
Data Science
Data Mining
Machine Learning
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Citations & Impact
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Citations
7,635
H-index
38
i10-index
63
Publications
20
Co-authors
52
list available
Contact
Email
ltorgo@dal.ca
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Publications
1 items
L-GTA: Latent Generative Modeling for Time Series Augmentation
2025
Cited
0
Resume (English only)
Background
Canada Research Chair (Tier 1) in Spatiotemporal Ocean Data Analytics and Professor at the Faculty of Computer Science, Dalhousie University, Canada
Associate Professor at the Department of Computer Science, Faculty of Sciences, University of Porto, Portugal
Invited Professor at the Stern Business School, New York University, teaching in the Master of Science in Business Analytics program in recent years
Research focuses on Data Science, particularly Predictive Analytics for spatial, temporal, or spatiotemporal data
Recent work emphasizes modeling rare events with applications in fraud detection, extreme value prediction, and anomaly monitoring
Strong advocate of the R programming language; author of the widely acclaimed book 'Data Mining with R' (1st ed. 2010, 2nd ed. 2017, CRC Press)
Co-founder and CEO of KNOYDA, a company specializing in data science training and consulting
Deputy Director of the Institute for Big Data Analytics at Dalhousie University and leads the Ocean Data Analytics research lab
Head of the Research Cluster on Big Data Analytics, AI and Machine Learning at Dalhousie’s Faculty of Computer Science
Senior researcher at LIAAD/INESC Tec and associate member of the Artificial Intelligence Institute, University of Waikato
Co-authors
52 total
Paula Branco
Associate Professor, School Electrical Engineering and Computer Science at University of Ottawa
Rita P. Ribeiro
Faculty of Sciences, University of Porto and INESC TEC
Vitor Cerqueira
University of Porto, Faculty of Engineering
Co-author 4
Nuno Moniz
Associate Research Professor at Lucy Family Institute for Data & Society, University of Notre Dame
Joao Gama
Professor Emeritus, Faculty of Economics, University of Porto, and INESC TEC
Bernd Bischl
Chair of Statistical Learning and Data Science, LMU Munich
Jan N. van Rijn
Leiden University
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