Arnout Van Messem

Orcid: 0000-0001-8545-7437

According to our database1, Arnout Van Messem authored at least 22 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

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.
CoRR, 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

Exact Feature Collisions in Neural Networks.
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
An Automated Model Reduction Method for Biochemical Reaction Networks.
Symmetry, 2020

Perturbation analysis of gradient-based adversarial attacks.
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
Bouligand Derivatives and Robustness of Support Vector Machines for Regression.
J. Mach. Learn. Res., 2008


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