Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Shimanto Rahman

Faculty of Economics and Business Administration > Department of Marketing, Innovation and Organisation

ORCID iD: 0000-0001-8636-8970

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Do profit-driven learning methods deliver profit? A policy evaluation study

Shimanto Rahman (UGent) , Bram Janssens (UGent) and Matthias Bogaert (UGent)

(2026) ORBEL 40 : 40th annual conference of the Belgian Operational Research Society, Booklet of abstracts. p.67-68
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Empulse : a unifying framework for profit-driven and cost-sensitive learning in Python

Shimanto Rahman (UGent) , Bram Janssens (UGent) and Matthias Bogaert (UGent)

(2025) Joint ORBEL-NGB Conference, Booklet of Abstracts. p.59-60
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- Journal Article
- A1
- open access
Profit-driven pre-processing in B2B customer churn modeling using fairness techniques

Shimanto Rahman (UGent) , Bram Janssens (UGent) and Matthias Bogaert (UGent)

(2025) JOURNAL OF BUSINESS RESEARCH. 189.
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A pre-processing approach to strategic high-value customer representation in churn prediction

Shimanto Rahman (UGent) , Bram Janssens (UGent) and Matthias Bogaert (UGent)

(2024) ORBEL 38 : 38th annual conference of the Belgian Operational Research Society, Booklet of abstracts. p.152-154
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- Conference Paper
- C3
- open access
Profit-driven analytics : how to align machine learning with business objectives

Shimanto Rahman (UGent) , Matthias Bogaert (UGent) and Steve Muylle (UGent)

(2023) Flanders Make Conference on Machines, Vehicles and Production Technology (CMVPT) 2023, Abstracts.
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Investigating parallel implementations of genetic algorithms for stochastic part-of-speech tagging

Shimanto Rahman (UGent) , Matthias Bogaert (UGent) and Dirk Van den Poel (UGent)

(2022) EURO 2022 : conference handbook and abstracts : 32nd European Conference on Operational Research (EURO XXXII). p.176-176