EURO 2024 Copenhagen
Abstract Submission

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Session TA-28: Fairness and responsible AI in stream Advancements of OR-analytics in statistics, machine learning and data science

Tuesday, 8:30-10:00
Room: 065 (building: 208)

Session chair(s):
Tatiana Gridchina (22lv3@queensu.ca)
Mikhael Nediak (mikhail.nediak@queensu.ca)
Yuri Levin (ylevin@business.queensu.ca)
Shimanto Rahman (shimanto.rahman@ugent.be)

The following abstracts have been submitted in this session:
625. Fair mixed effects support vector machine João Vitor Pamplona [R] - Germany
accepted
Jan Pablo Burgard [] - Germany
986. A generalized voting game for categorical network choices Yueh LIN [R] - France
accepted
Stefano Nasini [] - France
Martine Labbé [] - Belgium
2704. Enhancing B2B customer retention: a streamlined profit-driven approach using fairness-inspired pre-processing techniques Shimanto Rahman [R] - Belgium
accepted
Bram Janssens [R] - Belgium
Matthias Bogaert [R] - Belgium
3955. Analysing business intelligence adoption through natural language processing: a study of online customer testimonials Masoud Fakhimi [R] - United Kingdom
accepted
Ashkan Lotfipoor [R] - United Kingdom
Alex Hagen-Zanker [] - United Kingdom