Onderzoeksoutput

Onderzoeksoutput per jaar 2016 2022 2024 2024

• 21 Citaties
• 3 h-index
• 7 Article
• 5 Conference paper
• 4 Meeting abstract (Book)
• 2 Unpublished paper
• 6 Meer
  • 2 Poster
  • 2 Voordruk
  • 1 Other contribution
  • 1 PhD Thesis

Onderzoeksoutput per jaar

Onderzoeksoutput per jaar

Zoekresultaten

• 2024

  Approaching the Legal Frontier: A Framework for Developing Legally Aligned Machine Learning Models in Finance

  Hanson, M., Lewkowicz, G. & Verboven, S., 26 aug 2024, 9 blz.

  Onderzoeksoutput: Other contribution

• Exploring Task Affinities through NTK Alignment and Early Training Dynamics in Multi-Task Learning

  Morello, Y., Grégoire, E. & Verboven, S., 2 dec 2024.

  Onderzoeksoutput: Unpublished paper

• Flexible Counterfactual Explanations with Generative Models

  Hellemans, S., Algaba, A., Verboven, S. & Ginis, V., 18 nov 2024, (Unpublished).

  Onderzoeksoutput: Unpublished paper

• Sample-level weighting for multi-task learning with auxiliary tasks

  Grégoire, E., Chaudhary, M. H. & Verboven, S., 5 mrt 2024, In: Applied Intelligence. 54, 4, blz. 3482-3501 20 blz.

  Onderzoeksoutput: Article › peer review

  Bestand

  • Multi-task learning 100%
  • Neural networks 11%

• Selecting the Optimal Lawful ML Model

  Hanson, M. & Verboven, S., 8 feb 2024, Selecting the Optimal Lawful ML Model. ORBEL, Vol. 38. blz. 121 3 blz. 2

  Onderzoeksoutput: Meeting abstract (Book)

• The Use of Machine Learning Methods in Political Science: An In-Depth Literature Review

  de Slegte, J., Van Droogenbroeck, F., Spruyt, B., Verboven, S. & Ginis, V., 30 jul 2024, In: Political Studies Review. 21 blz.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand
  1 Citaat (Scopus)

  63 Downloads (Pure)

• Towards Sustainable Power Systems: Exploring the Opportunities of Multi-task Learning for Battery Degradation Forecasting

  Grégoire, E. & Verboven, S., 2 jun 2024, Artificial Intelligence for Knowledge Management, Energy and Sustainability. Mercier-Laurent, E., Kayakutlu, G., Owoc, M. L., Wahid, A. & Mason, K. (redactie). Springer, Cham, Vol. IFIP Advances in Information and Communication Technology, vol 693. blz. 116-133 18 blz. (IFIP Advances in Information and Communication Technology; vol. 693).

  Onderzoeksoutput: Conference paper

  • Multi-task learning 100%
  • Degradation 52%
  • Aging of materials 44%
  • Lithium-ion batteries 20%
  • Electric vehicles 16%

• Uplift Model Evaluation with Ordinal Dominance Graphs

  Verbeken, B., Guerry, M-A., Verbeke, W. & Verboven, S., 2024, (Submitted) In: Journal of Machine Learning Research.

  Onderzoeksoutput: Article › peer review
• 2023

  HydaLearn: Highly Dynamic Task Weighting for Multitask Learning with Auxiliary Tasks

  Verboven, S., Chaudhary, M. H., Berrevoets, J. & Verbeke, W., mrt 2023, In: Applied Intelligence. 53, 5, blz. 5808-5822 15 blz.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Multi-task learning 100%
  • Chemical analysis 12%
  • Composite materials 10%
  3 Citaten (Scopus)

  27 Downloads (Pure)

• Sample-Level Weighting for Multi-Task Learning with Auxiliary Tasks

  Grégoire, E., Chaudhary, M. H. & Verboven, S., 7 jun 2023, ArXiv.

  Onderzoeksoutput: Voordruk

  Bestand

  • Multi-task learning 100%
  • Neural networks 15%
  20 Downloads (Pure)
• 2022

  Combining the Clinical and Operational Perspectives in Heterogeneous Treatment Effect Inference in Healthcare Processes

  Verboven, S. & Martin, N., 24 mrt 2022, Lecture Notes in Business Information Processing. Munoz-Gama, J. & Lu, X. (redactie). Springer, Vol. 433. blz. 327–339 13 blz.

  Onderzoeksoutput: Conference paper

  Open Access

  • Machine learning 100%
  • Pipelines 51%
  • Decision making 49%
  3 Citaten (Scopus)

• Mining Statistical Relations for Better Decision Making in Healthcare Processes

  Koorn, J. J., Lu, X., Leopold, H., Martin, N., Verboven, S. & Reijers, H. A., 14 dec 2022, 2022 4th International Conference on Process Mining (ICPM). Burattin, A., Polyvyanyy, A. & Weber, B. (redactie). IEEE, blz. 32-39 8 blz. 22445109. (Proceedings - 2022 4th International Conference on Process Mining, ICPM 2022).

  Onderzoeksoutput: Conference paper

  • Decision making 100%
  • Experiments 24%
  2 Citaten (Scopus)

• Treatment effect optimisation in dynamic environments

  Berrevoets, J., Verboven, S. & Verbeke, W., 31 mei 2022, In: Journal of Causal Inference. 10, 1, blz. 106-122 17 blz.

  Onderzoeksoutput: Article › peer review

  Open Access

  Bestand

  • Treatment Effects 100%
  • Dynamic Environment 99%
  • Target 54%
  • Optimization 48%
  • Health Care Marketing 46%
  5 Citaten (Scopus)

  33 Downloads (Pure)

• Uplift model evaluation with ordinal dominance graphs

  Verbeken, B., Guerry, M-A. & Verboven, S., 2022, ECML/PKDD’22 Uplift Modeling Tutorial & Workshop. ECML/PKDD’22 Uplift Modeling Tutorial & Workshop., 22 blz.

  Onderzoeksoutput: Meeting abstract (Book)

  • Graph theory 100%
  • Electric grounding 95%

• Uplift Model Evaluation with Ordinal Dominance Graphs

  Verbeken, B., Guerry, M-A. & Verboven, S., 19 sep 2022, (Unpublished). 11 blz.

  Onderzoeksoutput: Poster

  • Electric grounding 100%
• 2021

  Autoencoders for strategic decision support

  Verboven, S., Berrevoets, J., Wuytens, C., Baesens, B. & Verbeke, W., nov 2021, In: Decision Support Systems. 150, 113422.

  Onderzoeksoutput: Article › peer review

  Open Access

  • Strategic Decisions 100%
  • Decision Support 99%
  • Decision Making 85%
  • Decision making 74%
  • decision making 65%
  7 Citaten (Scopus)

• On Neural Networks and Decision Support. Optimising Human and Artificial Decision Making.

  Verboven, S., 2021

  Onderzoeksoutput: PhD Thesis

  • Decision making 100%
  • Neural networks 83%

• The foundations of cost-sensitive causal classification

  Verbeke, W., Olaya, D., Berrevoets, J., Verboven, S. & Maldonado, S., 2021, (Submitted) In: European Journal of Operational Research. blz. 1-20 20 blz.

  Onderzoeksoutput: Article › peer review

  • Costs 100%
  • Performance Measures 58%
  • Customers 53%
  • Decision Making 39%
  • Framework 29%
• 2020

  HydaLearn: Highly Dynamic Task Weighting for Multi-task Learning with Auxiliary Tasks

  Verboven, S., Chaudhary, M. H., Berrevoets, J. & Verbeke, W., 26 aug 2020.

  Onderzoeksoutput: Voordruk

• Multi-task Neural Networks for Uplift Modeling

  Verboven, S., Berrevoets, J. & Verbeke, W., jan 2020, 34th conference of ORBEL: the Belgian Operational Research (OR) Society. blz. 132-132 1 blz.

  Onderzoeksoutput: Meeting abstract (Book)
• 2019

  Optimising Individual-Treatment-Effect Using Bandits

  Berrevoets, J., Verboven, S. & Verbeke, W., 2019, Neural Information Processing Systems (NeurIPS) 2019: workshop “Do the right thing”: machine learning and causal inference for improved decision making. Vancouver, Canada: Curran Associates, Inc., 6 blz.

  Onderzoeksoutput: Conference paper

• Uplifting Contextual Multi-armed Bandits

  Berrevoets, J., Verboven, S. & Verbeke, W., 2019, Recent Advances in Artificial Intelligence (RAAI) 2019. Bucharest, Romania: University of Bucharest, blz. 1-3 3 blz.

  Onderzoeksoutput: Conference paper

  • Marketing 100%
  • Personalized medicine 49%
  • Machine learning 25%
  • Economics 22%

• Uplifting Contextual Multi-armed Bandits

  Berrevoets, J., Verboven, S. & Verbeke, W., 2019.

  Onderzoeksoutput: Poster
• 2016

  Customer lifetime value prediction in the banking industry: A comparison of approaches

  Verboven, S. & Verbeke, W., jul 2016, EURO 2016: 28th European Conference on Operational Research: The Association of European Operational Research Societies . blz. 289

  Onderzoeksoutput: Meeting abstract (Book)

  • Customer Lifetime Value 100%
  • Banking Industry 72%
  • Prediction 62%
  • Modeling 43%
  • Bank Competition 34%