Arnout Van Messem

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 27

Top Topics

Chemical Reaction

Human Activity Recognition

Microscopic Images

Top Venues

ICPR Workshops (4)

Publications

Esla Timothy Anzaku, Hyesoo Hong, Jin-Woo Park, Wonjun Yang, Kangmin Kim, Jongbum Won, Deshika Vinoshani Kumari Herath, Arnout Van Messem, Wesley De Neve
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement. CoRR (2024)
Esla Timothy Anzaku, Hyesoo Hong, Jin-Woo Park, Wonjun Yang, Kangmin Kim, Jongbum Won, Deshika Vinoshani Kumari Herath, Arnout Van Messem, Wesley De Neve
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement. IHCI (1) (2023)
Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. CoRR (2023)
Ho-min Park, Jongbum Won, Yunseol Park, Esla Timothy Anzaku, Joris Vankerschaver, Arnout Van Messem, Wesley De Neve, Hyunjin Shim
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins. BMC Bioinform. 24 (1) (2023)
Utku Ozbulak, Hyun Jung Lee, Beril Boga, Esla Timothy Anzaku, Ho-min Park, Arnout Van Messem, Wesley De Neve, Joris Vankerschaver
Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training. Trans. Mach. Learn. Res. 2023 (2023)
Manvel Gasparyan, Arnout Van Messem, Shodhan Rao
Parameter estimation for models of chemical reaction networks from experimental data of reaction rates. Int. J. Control 96 (2) (2023)
Ho-min Park, Ganghyun Kim, Arnout Van Messem, Wesley De Neve
MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery. MuSe@ACM Multimedia (2023)
Esla Timothy Anzaku, Haohan Wang, Arnout Van Messem, Wesley De Neve
A Principled Evaluation Protocol for Comparative Investigation of the Effectiveness of DNN Classification Models on Similar-but-non-identical Datasets. CoRR (2022)
Utku Ozbulak, Manvel Gasparyan, Shodhan Rao, Wesley De Neve, Arnout Van Messem
Exact Feature Collisions in Neural Networks. CoRR (2022)
Hanul Kang, Ho-min Park, Yuju Ahn, Arnout Van Messem, Wesley De Neve
Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2021)
Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. BMVC (2021)
Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. CoRR (2021)
Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. CoRR (2021)
Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. CoRR (2021)
Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Comput. Vis. Image Underst. 202 (2021)
Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
Norms of Adversarial Examples While Maintaining Model-to-model Transferability. CoRR (2020)
Taewoo Jung, Esla Timothy Anzaku, Utku Özbulak, Stefan Magez, Arnout Van Messem, Wesley De Neve
Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning. IHCI (2) (2020)
Ji Yeon Baek, Maria Krishna de Guzman, Ho-min Park, Sanghyeon Park, Boyeon Shin, Tanja Cirkovic Velickovic, Arnout Van Messem, Wesley De Neve
Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams. ICPR Workshops (6) (2020)
Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem
Perturbation Analysis of Gradient-based Adversarial Attacks. CoRR (2020)
Manvel Gasparyan, Arnout Van Messem, Shodhan Rao
An Automated Model Reduction Method for Biochemical Reaction Networks. Symmetry 12 (8) (2020)
Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem
Perturbation analysis of gradient-based adversarial attacks. Pattern Recognit. Lett. 135 (2020)
Ho-min Park, Byungkon Kang, Arnout Van Messem, Wesley De Neve
3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics. ICPR Workshops (4) (2020)
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. CoRR (2019)
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. MICCAI (2) (2019)
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. IJCNN (2019)
Utku Ozbulak, Arnout Van Messem, Wesley De Neve
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. CoRR (2019)
Utku Ozbulak, Wesley De Neve, Arnout Van Messem
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples. CoRR (2018)
Arnout Van Messem, Andreas Christmann
A review on consistency and robustness properties of support vector machines for heavy-tailed distributions. Adv. Data Anal. Classif. 4 (2-3) (2010)
Andreas Christmann, Arnout Van Messem
Bouligand Derivatives and Robustness of Support Vector Machines for Regression. J. Mach. Learn. Res. 9 (2008)