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Katrien Antonio
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2020 – today
- 2023
- [j6]Laurens Deprez, Katrien Antonio, Robert N. Boute:
Empirical risk assessment of maintenance costs under full-service contracts. Eur. J. Oper. Res. 304(2): 476-493 (2023) - [j5]Laurens Deprez, Katrien Antonio, Joachim J. Arts, Robert N. Boute:
Data-driven preventive maintenance for a heterogeneous machine portfolio. Oper. Res. Lett. 51(2): 163-170 (2023) - [i5]Bavo D. C. Campo, Katrien Antonio:
An engine to simulate insurance fraud network data. CoRR abs/2308.11659 (2023) - [i4]Freek Holvoet, Katrien Antonio, Roel Henckaerts:
Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff. CoRR abs/2310.12671 (2023) - 2022
- [j4]Roel Henckaerts, Katrien Antonio, Marie-Pier Côté:
When stakes are high: Balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates. Expert Syst. Appl. 202: 117230 (2022) - 2021
- [j3]Laurens Deprez, Katrien Antonio, Robert N. Boute:
Pricing service maintenance contracts using predictive analytics. Eur. J. Oper. Res. 290(2): 530-545 (2021) - 2020
- [i3]Roel Henckaerts, Katrien Antonio, Marie-Pier Côté:
Model-Agnostic Interpretable and Data-driven suRRogates suited for highly regulated industries. CoRR abs/2007.06894 (2020) - [i2]María Óskarsdóttir, Waqas Ahmed, Katrien Antonio, Bart Baesens, Rémi Dendievel, Tom Donas, Tom Reynkens:
Social network analytics for supervised fraud detection in insurance. CoRR abs/2009.08313 (2020)
2010 – 2019
- 2019
- [j2]Jonas Crevecoeur, Katrien Antonio, Roel Verbelen:
Modeling the number of hidden events subject to observation delay. Eur. J. Oper. Res. 277(3): 930-944 (2019) - [i1]Roel Henckaerts, Marie-Pier Côté, Katrien Antonio, Roel Verbelen:
Boosting insights in insurance tariff plans with tree-based machine learning. CoRR abs/1904.10890 (2019) - 2018
- [j1]Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck:
Profit maximizing logistic model for customer churn prediction using genetic algorithms. Swarm Evol. Comput. 40: 116-130 (2018) - 2015
- [c1]Eugen Stripling, Seppe vanden Broucke, Katrien Antonio, Bart Baesens, Monique Snoeck:
Profit maximizing logistic regression modeling for customer churn prediction. DSAA 2015: 1-10
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