| Generating and analyzing synthetic finger vein images F Hillerström, A Kumar, R Veldhuis 2014 International Conference of the Biometrics Special Interest Group …, 2014 | 26 | 2014 |
| Intelligent autonomous vehicles with an extendable knowledge base under meaningful human control G Beckers, J Sijs, J van Diggelen, RJE van Dijk, H Bouma, M Lomme, ... Counterterrorism, Crime Fighting, Forensics, and Surveillance Technologies …, 2019 | 14 | 2019 |
| The FATE System: FAir, Transparent and Explainable Decision Making. J de Greeff, MHT de Boer, FHJ Hillerström, F Bomhof, W Jorritsma, ... AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering …, 2021 | 9 | 2021 |
| On generation and analysis of synthetic finger-vein images for biometrics identification F Hillerström, A Kumar Technical Report No. COMP-K-17, 2014 | 7 | 2014 |
| Anomaly Detection in an Open World by a Neuro-symbolic Program on Zero-shot Symbols GJ Burghouts, F Hillerström, E Walraven, M van Bekkum, F Ruis, J Sijs IROS 2022 Workshop Probabilistic Robotics in the Age of Deep Learning, 2022 | 1 | 2022 |
| ZERO-Detect objects without training examples by knowing their parts. GJ Burghouts, F Hillerström AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021 | 1 | 2021 |
| Total uncertainty in Big Data analysis MH de Boer, S Oggero, MA van Bekkum, FW Bomhof, FHJ Hillerström, ... Institure for Employment Research International Total Survey Error Workshop …, 2017 | 1 | 2017 |
| Introduction to biometrics-Iris Recognition F Hillerstrom, B Koornwinder, L Overbeek, S van der Velden University of Twente Students Journal of Biometrics and Computer Vision, 2015 | 1 | 2015 |
| Improved Zero-Shot Object Localization using Contextualized Prompts and Objects in Context GJ Burghouts, W Meijer, F Hillerström, J van Mil, M van Bekkum, ... ICRA2023 Workshop on Pretraining for Robotics (PT4R), 2023 | | 2023 |
| The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case. MHT de Boer, S Vethman, RM Bakker, A Adhikari, M Marcus, J de Greeff, ... AAAI Spring Symposium: MAKE, 2022 | | 2022 |
| Spot What Matters: Learning Context Using Graph Convolutional Networks for Weakly-Supervised Action Detection M Tsiaousis, G Burghouts, F Hillerström, P van der Putten Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | | 2021 |
| Hybrid AI using Graph Neural Networks in Scene Classification. MHT de Boer, F Hillerström AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021 | | 2021 |
| Arriving on time using uncertainty aware deep learning FHJ Hillerström, MC Kruithof, S Oggero IPIC 2018, 2018 | | 2018 |
| Deep verification learning FHJ Hillerström University of Twente, 2016 | | 2016 |
| Deep Verification Learning FHRVL Spreeuwers 2017 Symposium on Information Theory and Signal Processing in the Benelux, 97, 0 | | |
