| Boosting insights in insurance tariff plans with tree-based machine learning methods R Henckaerts, MP Côté, K Antonio, R Verbelen North American Actuarial Journal 25 (2), 255-285, 2021 | 89 | 2021 |
| A data driven binning strategy for the construction of insurance tariff classes R Henckaerts, K Antonio, M Clijsters, R Verbelen Scandinavian Actuarial Journal 2018 (8), 681-705, 2018 | 81 | 2018 |
| The added value of dynamically updating motor insurance prices with telematics collected driving behavior data R Henckaerts, K Antonio Insurance: Mathematics and Economics 105, 79-95, 2022 | 16 | 2022 |
| When stakes are high: Balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates R Henckaerts, K Antonio, MP Côté Expert Systems with Applications 202, 117230, 2022 | 13 | 2022 |
| Model-Agnostic Interpretable and Data-driven suRRogates suited for highly regulated industries R Henckaerts, K Antonio, MP Côté stat 1050, 14, 2020 | 5 | 2020 |
| Boosting insights in insurance tariff plans with tree-based machine learning R Henckaerts, K Antonio, MP Côté, R Verbelen Perspectives on Actuarial Risks in Talks of Young researchers, Location …, 2019 | 5 | 2019 |
| Insurance pricing in the era of machine learning and telematics technology. R Henckaerts | 3 | 2021 |
| Neural networks for insurance pricing with frequency and severity data: a benchmark study from data preprocessing to technical tariff F Holvoet, K Antonio, R Henckaerts arXiv preprint arXiv:2310.12671, 2023 | 1 | 2023 |
| Tree-based machine learning for insurance pricing K Antonio, MP Côté, R Henckaerts, R Verbelen Ageas pricing seminar, Location: Malaga, Spain, 2019 | | 2019 |
| Benchmark study on the use of tree-based machine learning for insurance pricing R Henckaerts, K Antonio, MP Côtë 23rd Insurance: Mathematics and Economics conference, Location: Munich, Germany, 2019 | | 2019 |
| Boosting insurance tariff plans with insights from tree-based machine learning methods R Henckaerts, K Antonio, MP Côté, R Verbelen KU Leuven & Cass Business School PhD colloquium, Location: Leuven, Belgium, 2019 | | 2019 |
| Tree-based machine learning for insurance pricing R Henckaerts, K Antonio, MP Côté, R Verbelen Parallel Sessions, 14, 2018 | | 2018 |
| Using risk factors in P&C insurance pricing. A data driven strategy with GAMs, regression trees and GLMs. K Antonio, R Henckaerts, R Verbelen Conference Chairs Days, Location: Institut Louis Bachelier, Paris, France, 2018 | | 2018 |
| Using risk factors in insurance analytics: data driven strategies K Antonio, S Devriendt, R Henckaerts, R Verbelen 31st International Congress of Actuaries, Location: Berlin, Germany, 2018 | | 2018 |
| A data driven strategy for the construction of tariff classes in P&C insurance R Henckaerts, K Antonio, M Clijsters, R Verbelen CFE/ERCIM, Location: London, UK, 2017 | | 2017 |
| Using risk factors in general insurance pricing: a data driven binning strategy R Henckaerts, K Antonio, M Clijsters, R Verbelen Poster presentation on the Leuven Statistics Days, Date: 2016/10/20-2016/10 …, 2016 | | 2016 |
| Using risk factors in general insurance pricing: a data driven strategy with GAMs, regression trees and GLMs R Henckaerts, K Antonio, M Clijsters, R Verbelen Ageas CE workshop, Date: 2016/09/28-2016/09/28, Location: Brussels, Belgium, 2016 | | 2016 |
