Recommendation And Fraud Detection Professors in Global

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Cherie Ding
Toronto Metropolitan University Canada
recommendation systems
recommender systems
diversity-integrated recommendation
fake news detection
bias detection
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Jian Yang
Macquarie University Australia
recommendation and fraud detection
trust and fake news detection
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Dominic Peltier-rivest
Concordia University Canada
fraud detection
fraud prevention
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Daria Wijler
Maastricht University Netherlands
fraud detection
fraud forecasting models
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Guillermo Suarez De Tangil
King's College London United Kingdom
fraud detection
malware detection
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Marc Tassé
University of Ottawa Canada
fraud prevention
corruption detection
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Iadh Ounis
University of Glasgow United Kingdom
recommender systems
transparency in information retrieval and recommender systems
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Francesco Barile
Maastricht University Netherlands
recommender systems
group recommender systems
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Ahsan Ashraf
Brown University United States of America
recommendation systems
fairness in online recommender systems
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Sophie Van Der Zee
Erasmus University Rotterdam Netherlands
deception detection
online fraud prevention
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Toine Bogers
Aalborg University Denmark
recommender systems
content-based recommendation
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Bogdan Vasilescu
Carnegie Mellon University United States of America
fraud
detection
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Eun-young Kang
University of Southern Denmark Denmark
verification & validation
dependability & reliability
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Ben Vollaard
Tilburg University Netherlands
fraud detection
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Paula Branco
University of Ottawa Canada
fraud detection
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Kristin Milchanowski
University of Oxford United Kingdom
fraud detection
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Amir Razavi
University of Ottawa Canada
fraud detection
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Jennifer Neville
Purdue University United States of America
fraud detection
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Stephen Coggeshall
University of Southern California United States of America
fraud detection
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William Wright
University of Illinois United States of America
fraud detection
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Eric Sussman
University of California Los Angeles United States of America
fraud detection
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