Publications

All publications of the AI for Fintech Research are available in (green) open access, mostly via the TU Delft repository.

Key Publications

  1. Reinforcement Learning with Option Machines. Floris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen. International Joint Conference on Artificial Intelligence, 2022. Preprint.

  2. Planning for potential: efficient safe reinforcement learning. Floris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen. Machine Learning. Springer, 2022. DOI.

  3. Experiences in Analysing the Software Quality of ML Projects with mllint. Bart van Oort, Luis Cruz, Babak Loni, Arie van Deursen. 44th International Conference on Software Engineering (ICSE 2022). SEIP, 2022.

  4. Assessing Robustness of ML-Based Program Analysis Tools using Metamorphic Program Transformations. Leonhard Applis, Annibale Panichella, Arie van Deursen. ASE, 2021. Preprint.

  5. The Impact of Entity Cards on Learning-Oriented Search Tasks. Sara Salimzadeh, David Maxwell, Claudia Hauff. ICTIR, 2021. 🏆 Honorable Mention for Best Student Paper. Preprint.

  6. Modeling Team Dynamics for the Characterization and Prediction of Delays in User Stories. Kula, E., Deursen, A. V., Gousios, G.. Proceedings IEEE/ACM International Conference on Automated Software Engineering, 2021.

  7. Data-Driven Extract Method Recommendations: A Study at ING. David van der Leij, Jasper Binda, Robbert van Dalen, Pieter Vallen, Yaping Luo, Maurício Aniche. ESEC/FSE, 2021. DOI. Arxiv preprint.

  8. AI Lifecycle Models Need to be Revised. An Exploratory Study in Fintech. Mark Haakman, Luís Cruz, Hennie Huijgens, Arie van Deursen. 2021.. Empirical Software Engineering. DOI. Arxiv preprint.

  9. Valentine: Evaluating Matching Techniques for Dataset Discovery. Christos Koutras, Georgios Siachamis, Andra Ionescu, Kyriakos Psarakis, Jerry Brons, Marios Fragkoulis, Christoph Lofi, Angela Bonifati, Asterios Katsifodimos. 37th IEEE International Conference on Data Engineering (ICDE), 2021. DOI. Source code. Dataset.

  10. The Prevalence of Code Smells in Machine Learning projects. Bart van Oort, Luís Cruz, Maurício Aniche, Arie van Deursen. WAIN’21 - 1st Workshop on AI Engineering – Software Engineering for AI, 2021. DOI. Arxiv preprint.

  11. Systematic Mapping Study on the Machine Learning Lifecycle. Yuanhao Xie, Luís Cruz, Petra Heck, Jan Rellermeyer. WAIN’21 - 1st Workshop on AI Engineering – Software Engineering for AI, 2021. DOI. Arxiv preprint.

  12. Reinforcement Learning for Personalization: A Systematic Literature Review. Floris den Hengst, Eoin Martino Grua, Ali el Hassouni, Mark Hoogendoorn. 2020. Data Science. DOI.

  13. Reinforcement Learning for Personalized Dialogue Management. den Hengst, Floris, Hoogendoorn, Mark, van Harmelen, Frank, Bosman, Joost. IEEE/WIC/ACM International Conference on Web Intelligence (WI 2019), 2019. DOI. Arxiv preprint.

  14. Releasing Fast and Slow: An Exploratory Case Study at ING. Kula, E., Rastogi, A., Huijgens, H., van Deursen, A., Gousios, G.. ESEC/FSE, 2019. Preprint. DOI.

  15. Factors Affecting Cloud Infra-Service Development Lead Times: A Case Study at ING. Hennie Huijgens, Eric Greuter, Jerry Brons, Evert A. van Doorn, Ioannis Papadopoulos, Francisco Morales Martinez, Maurício Aniche, Otto Visser, Arie van Deursen. 2019. Proceedings of the ACM/IEEE International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP). Preprint. DOI.

  16. Stateful functions as a service in action. Akhter, A., Fragkoulis, M., & Katsifodimos, A.. 2019. Proceedings of the VLDB Endowment. DOI.

  17. Software Analytics in Continuous Delivery: A Case Study on Success Factors. Huijgens, H., Spadini, D., Stevens, D., Visser, N., & van Deursen, A. 2018. ESEM’ 18: Proceedings of the 12th International Symposium on Empirical Software Engineering and Measurement. Preprint. DOI.