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2020 – today
- 2024
[j18]Arthur Thuy
, Dries F. Benoit:
Explainability through uncertainty: Trustworthy decision-making with neural networks. Eur. J. Oper. Res. 317(2): 330-340 (2024)- [j17]Ekaterina Loginova, Wai Kit Tsang, Guus van Heijningen, Louis-Philippe Kerkhove, Dries F. Benoit:
Forecasting directional bitcoin price returns using aspect-based sentiment analysis on online text data. Mach. Learn. 113(7): 4761-4784 (2024) - [i5]Arthur Thuy, Dries F. Benoit:
Explainability through uncertainty: Trustworthy decision-making with neural networks. CoRR abs/2403.10168 (2024) - [i4]Arthur Thuy, Dries F. Benoit:
Reliable uncertainty with cheaper neural network ensembles: a case study in industrial parts classification. CoRR abs/2403.10182 (2024) - [i3]Arthur Thuy, Ekaterina Loginova, Dries F. Benoit:
Active Learning to Guide Labeling Efforts for Question Difficulty Estimation. CoRR abs/2409.09258 (2024) - 2023
- [i2]Salim Yunus, Dries F. Benoit, Filipa Peleja:
Using Machine Learning Methods for Automation of Size Grid Building and Management. CoRR abs/2306.09775 (2023) - 2022
- [i1]Manu Lahariya, Dries F. Benoit, Chris Develder:
Defining a synthetic data generator for realistic electric vehicle charging sessions. CoRR abs/2203.01129 (2022) - 2021
- [j16]Kristof Coussement, Dries F. Benoit:
Interpretable data science for decision making. Decis. Support Syst. 150: 113664 (2021) - [j15]Dieter Oosterlinck, Philippe Baecke, Dries F. Benoit:
Home location prediction with telecom data: Benchmarking heuristics with a predictive modelling approach. Expert Syst. Appl. 170: 114507 (2021) - [c5]Ekaterina Loginova, Dries F. Benoit:
Embedding navigation patterns for student performance prediction. EDM 2021 - [c4]Ekaterina Loginova, Luca Benedetto, Dries F. Benoit, Paolo Cremonesi:
Towards the Application of Calibrated Transformers to the Unsupervised Estimation of Question Difficulty from Text. RANLP 2021: 846-855 - 2020
- [j14]Kristof Coussement, Minh Phan, Arno De Caigny, Dries F. Benoit, Annelies Raes:
Predicting student dropout in subscription-based online learning environments: The beneficial impact of the logit leaf model. Decis. Support Syst. 135: 113325 (2020) - [j13]Dieter Oosterlinck, Dries F. Benoit, Philippe Baecke:
From one-class to two-class classification by incorporating expert knowledge: Novelty detection in human behaviour. Eur. J. Oper. Res. 282(3): 1011-1024 (2020) - [c3]Manu Lahariya, Dries F. Benoit, Chris Develder:
Defining a synthetic data generator for realistic electric vehicle charging sessions. e-Energy 2020: 406-407
2010 – 2019
- 2019
- [j12]Chamberlain Mbah, Kris Peremans, Stefan Van Aelst, Dries F. Benoit:
Robust Bayesian seemingly unrelated regression model. Comput. Stat. 34(3): 1135-1157 (2019) - 2018
- [c2]Nasrin Sadeghianpourhamami, Dries F. Benoit, Dirk Deschrijver, Chris Develder:
Modeling Real-World Flexibility of Residential Power Consumption: Exploring the Cylindrical WeiSSVM Distribution. e-Energy 2018: 408-410 - 2017
- [j11]Andrey Volkov, Dries F. Benoit, Dirk Van den Poel:
Incorporating sequential information in bankruptcy prediction with predictors based on Markov for discrimination. Decis. Support Syst. 98: 59-68 (2017) - 2016
- [j10]Annelies Raes, Tammy Schellens, Bram de Wever, Dries F. Benoit:
Promoting metacognitive regulation through collaborative problem solving on the web: When scripting does not work. Comput. Hum. Behav. 58: 325-342 (2016) - [j9]Jeroen D'Haen, Dirk Van den Poel, Dirk Thorleuchter, Dries F. Benoit:
Integrating expert knowledge and multilingual web crawling data in a lead qualification system. Decis. Support Syst. 82: 69-78 (2016) - [j8]Iris Roelens, Philippe Baecke, Dries F. Benoit:
Identifying influencers in a social network: The value of real referral data. Decis. Support Syst. 91: 25-36 (2016) - 2015
- [j7]Kristof Coussement, Dries F. Benoit, Michael Antioco:
A Bayesian approach for incorporating expert opinions into decision support systems: A case study of online consumer-satisfaction detection. Decis. Support Syst. 79: 24-32 (2015) - [j6]Kristof Coussement, Paul Harrigan, Dries F. Benoit:
Improving direct mail targeting through customer response modeling. Expert Syst. Appl. 42(22): 8403-8412 (2015) - 2013
- [j5]Dries F. Benoit, Rahim Alhamzawi, Keming Yu:
Bayesian lasso binary quantile regression. Comput. Stat. 28(6): 2861-2873 (2013) - [j4]Vera L. Miguéis, Dries F. Benoit, Dirk Van den Poel:
Enhanced decision support in credit scoring using Bayesian binary quantile regression. J. Oper. Res. Soc. 64(9): 1374-1383 (2013) - 2012
- [j3]Dries F. Benoit, Dirk Van den Poel:
Improving customer retention in financial services using kinship network information. Expert Syst. Appl. 39(13): 11435-11442 (2012) - 2011
- [c1]Michel Ballings, Dries F. Benoit, Dirk Van den Poel:
RFM Variables Revisited Using Quantile Regression. ICDM Workshops 2011: 1163-1169 - 2010
- [j2]Kristof Coussement, Dries F. Benoit, Dirk Van den Poel:
Improved marketing decision making in a customer churn prediction context using generalized additive models. Expert Syst. Appl. 37(3): 2132-2143 (2010)
2000 – 2009
- 2009
- [j1]Dries F. Benoit, Dirk Van den Poel:
Benefits of quantile regression for the analysis of customer lifetime value in a contractual setting: An application in financial services. Expert Syst. Appl. 36(7): 10475-10484 (2009)
Coauthor Index
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