Arnout Van Messem
Orcid: 0000-0001-8545-7437
According to our database1,
Arnout Van Messem
authored at least 23 papers
between 2008 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the Swarm Intelligence - 14th International Conference, 2024
2023
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins.
BMC Bioinform., December, 2023
Parameter estimation for models of chemical reaction networks from experimental data of reaction rates.
Int. J. Control, February, 2023
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training.
Trans. Mach. Learn. Res., 2023
MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery.
Proceedings of the 4th on Multimodal Sentiment Analysis Challenge and Workshop: Mimicked Emotions, 2023
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement.
Proceedings of the Intelligent Human Computer Interaction - 15th International Conference, 2023
2022
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets.
CoRR, 2022
2021
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.
Comput. Vis. Image Underst., 2021
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes.
CoRR, 2021
Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis.
Proceedings of the Medical Imaging 2021: Image Perception, 2021
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021
2020
Symmetry, 2020
Pattern Recognit. Lett., 2020
Regional Image Perturbation Reduces L<sub>p</sub> Norms of Adversarial Examples While Maintaining Model-to-model Transferability.
CoRR, 2020
Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning.
Proceedings of the Intelligent Human Computer Interaction - 12th International Conference, 2020
3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020
2019
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding.
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples.
CoRR, 2018
2010
A review on consistency and robustness properties of support vector machines for heavy-tailed distributions.
Adv. Data Anal. Classif., 2010
2008
J. Mach. Learn. Res., 2008