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Fieke Hillerström
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2020 – today
- 2024
- [i4]Gertjan J. Burghouts, Marianne Schaaphok, Michael van Bekkum, Wouter Meijer, Fieke Hillerström, Jelle van Mil:
Affordance Perception by a Knowledge-Guided Vision-Language Model with Efficient Error Correction. CoRR abs/2407.13368 (2024) - [i3]Gertjan J. Burghouts, Fieke Hillerström, Erwin Walraven, Michael van Bekkum, Frank Ruis, Joris Sijs, Jelle van Mil, Judith Dijk:
Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols. CoRR abs/2407.13382 (2024) - [i2]Fieke Hillerström, Gertjan Burghouts:
Towards Probabilistic Inductive Logic Programming with Neurosymbolic Inference and Relaxation. CoRR abs/2408.11367 (2024) - 2022
- [c6]Maaike H. T. de Boer, Steven Vethman, Roos M. Bakker, Ajaya Adhikari, Michiel Marcus, Joachim de Greeff, Jasper van der Waa, Tjeerd A. J. Schoonderwoerd, Ioannis Tolios, Emma M. van Zoelen, Fieke Hillerström, Bart Kamphorst:
The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case. AAAI Spring Symposium: MAKE 2022 - 2021
- [c5]Maaike H. T. de Boer, Fieke Hillerström:
Hybrid AI using Graph Neural Networks in Scene Classification. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c4]Gertjan J. Burghouts, Fieke Hillerström:
ZERO - Detect objects without training examples by knowing their parts. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c3]Joachim de Greeff, Maaike H. T. de Boer, Fieke H. J. Hillerström, Freek Bomhof, Wiard Jorritsma, Mark A. Neerincx:
The FATE System: FAir, Transparent and Explainable Decision Making. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [i1]Michail Tsiaousis, Gertjan J. Burghouts, Fieke Hillerström, Peter van der Putten:
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection. CoRR abs/2107.13648 (2021) - 2020
- [c2]Michail Tsiaousis, Gertjan J. Burghouts, Fieke Hillerström, Peter van der Putten:
Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection. ICPR Workshops (4) 2020: 115-130
2010 – 2019
- 2014
- [c1]Fieke Hillerström, Ajay Kumar, Raymond N. J. Veldhuis:
Generating and Analyzing Synthetic Finger Vein Images. BIOSIG 2014: 111-120
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