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

Key Publications

  1. Reinforcement Learning for Personalization: A Systematic Literature Review. den Hengst, Floris and Grua, Eoin Martino and el Hassouni, Ali and Hoogendoorn, Mark: Data Science (doi)

  2. Reinforcement Learning for Personalized Dialogue Management. den Hengst, Floris and Hoogendoorn, Mark and van Harmelen, Frank and Bosman, Joost: 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 59-76 (doi)

  3. Releasing Fast and Slow: An Exploratory Case Study at ING. Kula, E., Rastogi, A., Huijgens, H., van Deursen, A. & Gousios, G., 2019, ESEC/FSE 2019 : Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Dumas, M. & Pfahl, D. (eds.). New York: ACM DL, p. 785-795 11 p. (pure)

  4. Factors Affecting Cloud Infra-Service Development Lead Times: A Case Study at ING Huijgens, H., Greuter, E., Brons, J., Doorn, E. A. V., Papadopoulos, I., Martinez, F. M., Aniche, M., Visser, O. & Deursen, A. V., 2019, (Accepted/In press) Proceedings of the International Conference on Software Engineering (ICSE): Software Engineering in Practice (SEIP). IEEE, 10 p. (pure)

  5. Software Analytics in Continuous Delivery: A Case Study on Success Factors Huijgens, H., Spadini, D., Stevens, D., Visser, N. & van Deursen, A., 2018, (Accepted/In press) 12th International Symposium on Empirical Software Engineering and Measurement (ESEM 2018). Association for Computing Machinery (ACM), 10 p. 25 (pure)