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ORCIDFloris den Hengst
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2020 – today
- 2024
[j3]Floris den Hengst
, Martijn Otten, Paul W. G. Elbers, Frank van Harmelen, Vincent François-Lavet, Mark Hoogendoorn:
Guideline-informed reinforcement learning for mechanical ventilation in critical care. Artif. Intell. Medicine 147: 102742 (2024)- [c8]Pei-Yu Chen, Selene Baez Santamaría, Maaike H. T. de Boer, Floris den Hengst, Bart A. Kamphorst, Quirine T. S. Smit, Shihan Wang, Johanna Wolff:
Intelligent Support Systems for Lifestyle Change: Integrating Dialogue, Information Extraction, and Reasoning. HHAI 2024: 457-459 - [c7]Floris den Hengst, Ralf Wolter, Patrick Altmeyer, Arda Kaygan:
Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition. NAACL-HLT (Findings) 2024: 2412-2432 - [c6]Samantha Visbeek, Erman Acar, Floris den Hengst:
Explainable Fraud Detection with Deep Symbolic Classification. xAI (3) 2024: 350-373 - [i5]Floris den Hengst, Ralf Wolter, Patrick Altmeyer, Arda Kaygan:
Conformal Intent Classification and Clarification for Fast and Accurate Intent Recognition. CoRR abs/2403.18973 (2024) - 2023
- [c5]Stefan Petrescu, Floris den Hengst, Alexandru Uta, Jan S. Rellermeyer:
Log Parsing Evaluation in the Era of Modern Software Systems. ISSRE 2023: 379-390 - [i4]Stefan Petrescu, Floris den Hengst, Alexandru Uta, Jan S. Rellermeyer:
Log Parsing Evaluation in the Era of Modern Software Systems. CoRR abs/2308.09003 (2023) - [i3]Samantha Visbeek, Erman Acar, Floris den Hengst:
Explainable Fraud Detection with Deep Symbolic Classification. CoRR abs/2312.00586 (2023) - 2022
- [j2]Floris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen:
Planning for potential: efficient safe reinforcement learning. Mach. Learn. 111(6): 2255-2274 (2022) - [c4]Floris den Hengst, Vincent François-Lavet, Mark Hoogendoorn, Frank van Harmelen:
Reinforcement Learning with Option Machines. IJCAI 2022: 2909-2915 - [c3]Yannick Smit, Floris den Hengst, Sandjai Bhulai, Ehsan Mehdad:
Strategic Workforce Planning with Deep Reinforcement Learning. LOD (2) 2022: 108-122 - 2020
- [j1]Floris den Hengst, Eoin Martino Grua, Ali el Hassouni, Mark Hoogendoorn:
Reinforcement learning for personalization: A systematic literature review. Data Sci. 3(2): 107-147 (2020) - [c2]Mickey van Zeelt, Floris den Hengst, Seyyed Hadi Hashemi:
Collecting High-Quality Dialogue User Satisfaction Ratings with Third-Party Annotators. CHIIR 2020: 363-367 - [i2]Michal Nauman, Floris den Hengst:
Low-Variance Policy Gradient Estimation with World Models. CoRR abs/2010.15622 (2020)
2010 – 2019
- 2019
- [c1]Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, Joost Bosman:
Reinforcement Learning for Personalized Dialogue Management. WI 2019: 59-67 - [i1]Floris den Hengst, Mark Hoogendoorn, Frank van Harmelen, Joost Bosman:
Reinforcement Learning for Personalized Dialogue Management. CoRR abs/1908.00286 (2019)
Coauthor Index
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