Arnout Van Messem

35 papers A 1B 1Journal 25Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Detecting Regional Spurious Correlations in Vision Transformers via Token Discarding.
CoRR
Solha Kang, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem, Joris Vankerschaver, François Rameau, Utku Ozbulak
2025 J jnl
Impact of U2-type introns on splice site prediction in A. thaliana species using deep learning.
BMC Bioinform.
Espoir K. Kabanga, Seonil Jee, Soeun Yun, Stephen Depuydt, Arnout Van Messem, Wesley De Neve
2025 J jnl
Interpreting Stress Detection Models Using SHAP and Attention for MuSe-Stress 2022.
IEEE Trans. Affect. Comput.
Ho-min Park, Ganghyun Kim, Jinsung Oh, Arnout Van Messem, Wesley De Neve
2025 J jnl
Re-assessing accuracy degradation: a framework for understanding DNN behavior on similar-but-non-identical test datasets.
Mach. Learn.
Esla Timothy Anzaku, Haohan Wang, Ajiboye Babalola, Arnout Van Messem, Wesley De Neve
2024 — conf
Grasshopper Optimization Algorithm (GOA): A Novel Algorithm or A Variant of PSO?
ANTS
Negin Harandi, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
2024 J jnl
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement.
CoRR
Esla Timothy Anzaku, Hyesoo Hong, Jin-Woo Park, Wonjun Yang, Kangmin Kim, Jongbum Won, Deshika Vinoshani Kumari Herath, Arnout Van Messem, Wesley De Neve
2024 J jnl
Re-assessing ImageNet: How aligned is its single-label assumption with its multi-label nature?
CoRR
Esla Timothy Anzaku, Seyed Amir Mousavi, Arnout Van Messem, Wesley De Neve
2023 J jnl
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins.
BMC Bioinform.
Ho-min Park, Jongbum Won, Yunseol Park, Esla Timothy Anzaku, Joris Vankerschaver, Arnout Van Messem, Wesley De Neve, Hyunjin Shim
2023 J jnl
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training.
CoRR
Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
2023 J jnl
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training.
Trans. Mach. Learn. Res.
Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
2023 — conf
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement.
IHCI (1)
Esla Timothy Anzaku, Hyesoo Hong, Jin-Woo Park, Wonjun Yang, Kangmin Kim, Jongbum Won, Deshika Vinoshani Kumari Herath, Arnout Van Messem, Wesley De Neve
2023 — conf
MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery.
MuSe@ACM Multimedia
Ho-min Park, Ganghyun Kim, Arnout Van Messem, Wesley De Neve
2023 J jnl
Parameter estimation for models of chemical reaction networks from experimental data of reaction rates.
Int. J. Control
Manvel Gasparyan, Arnout Van Messem, Shodhan Rao
2022 J jnl
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets.
CoRR
Esla Timothy Anzaku, Haohan Wang, Arnout Van Messem, Wesley De Neve
2022 J jnl
Exact Feature Collisions in Neural Networks.
CoRR
Utku Ozbulak, Manvel Gasparyan, Shodhan Rao, Wesley De Neve, Arnout Van Messem
2021 J jnl
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes.
CoRR
Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve
2021 J jnl
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.
CoRR
Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
2021 J jnl
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems.
Comput. Vis. Image Underst.
Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
2021 A conf
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks.
BMVC
Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem
2021 J jnl
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks.
CoRR
Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem
2021 — conf
Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis.
Image Perception, Observer Performance, and Technology Assessment
Hanul Kang, Ho-min Park, Yuju Ahn, Arnout Van Messem, Wesley De Neve
2020 — conf
3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics.
ICPR Workshops (4)
Ho-min Park, Byungkon Kang, Arnout Van Messem, Wesley De Neve
2020 J jnl
An Automated Model Reduction Method for Biochemical Reaction Networks.
Symmetry
Manvel Gasparyan, Arnout Van Messem, Shodhan Rao
2020 — conf
Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning.
IHCI (2)
Taewoo Jung, Esla Timothy Anzaku, Utku Özbulak, Stefan Magez, Arnout Van Messem, Wesley De Neve
2020 — conf
Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams.
ICPR Workshops (6)
Ji Yeon Baek, Maria Krishna de Guzman, Ho-min Park, Sanghyeon Park, Boyeon Shin, Tanja Cirkovic Velickovic, Arnout Van Messem, Wesley De Neve
2020 J jnl
Perturbation Analysis of Gradient-based Adversarial Attacks.
CoRR
Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem
2020 J jnl
Perturbation analysis of gradient-based adversarial attacks.
Pattern Recognit. Lett.
Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem
2020 J jnl
Regional Image Perturbation Reduces L
CoRR
Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
2019 — conf
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation.
MICCAI (2)
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
2019 J jnl
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation.
CoRR
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
2019 B conf
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding.
IJCNN
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
2019 J jnl
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding.
CoRR
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
2018 J jnl
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples.
CoRR
Utku Ozbulak, Wesley De Neve, Arnout Van Messem
2010 J jnl
A review on consistency and robustness properties of support vector machines for heavy-tailed distributions.
Adv. Data Anal. Classif.
Arnout Van Messem, Andreas Christmann
2008 J jnl
Bouligand Derivatives and Robustness of Support Vector Machines for Regression.
J. Mach. Learn. Res.
Andreas Christmann, Arnout Van Messem