Fieke Hillerström

According to our database, Fieke Hillerström authored at least 9 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Towards Probabilistic Inductive Logic Programming with Neurosymbolic Inference and Relaxation.

Fieke Hillerström, Gertjan Burghouts

CoRR, 2024

Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols.

Gertjan J. Burghouts, Fieke Hillerström, Erwin Walraven, Michael van Bekkum, Frank Ruis, Joris Sijs, Jelle van Mil, Judith Dijk

CoRR, 2024

Affordance Perception by a Knowledge-Guided Vision-Language Model with Efficient Error Correction.

Gertjan J. Burghouts, Marianne Schaaphok, Michael van Bekkum, Wouter Meijer, Fieke Hillerström, Jelle van Mil

CoRR, 2024

2022

The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case.

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

Proceedings of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE 2022), 2022

2021

The FATE System: FAir, Transparent and Explainable Decision Making.

Joachim de Greeff, Maaike H. T. de Boer, Fieke H. J. Hillerström, Freek Bomhof, Wiard Jorritsma, Mark A. Neerincx

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

ZERO - Detect objects without training examples by knowing their parts.

Gertjan J. Burghouts, Fieke Hillerström

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

Hybrid AI using Graph Neural Networks in Scene Classification.

Maaike H. T. de Boer, Fieke Hillerström

Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), 2021

2020

Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection.

Michail Tsiaousis, Gertjan J. Burghouts, Fieke Hillerström, Peter van der Putten

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2014

Generating and Analyzing Synthetic Finger Vein Images.

Fieke Hillerström, Ajay Kumar, Raymond N. J. Veldhuis

Proceedings of the BIOSIG 2014, 2014