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Arnout Van Messem
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2020 – today
- 2024
- [c10]Negin Harandi
, Arnout Van Messem
Grasshopper Optimization Algorithm (GOA): A Novel Algorithm or A Variant of PSO? ANTS 2024: 84-97 - [i12]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 abs/2401.17736 (2024) - 2023
- [j8]Ho-min Park
CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins. BMC Bioinform. 24(1): 167 (2023) - [j7]Manvel Gasparyan
Parameter estimation for models of chemical reaction networks from experimental data of reaction rates. Int. J. Control 96(2): 392-407 (2023) - [j6]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) - [c9]Esla Timothy Anzaku
Leveraging Human-Machine Interactions for Computer Vision Dataset Quality Enhancement. IHCI (1) 2023: 295-309 - [c8]Ho-min Park
MuSe-Personalization 2023: Feature Engineering, Hyperparameter Optimization, and Transformer-Encoder Re-discovery. MuSe@ACM Multimedia 2023: 89-97 - [i11]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 abs/2305.13689 (2023) - 2022
- [i10]Utku Ozbulak
Exact Feature Collisions in Neural Networks. CoRR abs/2205.15763 (2022) - [i9]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 abs/2209.01848 (2022) - 2021
- [j5]Utku Ozbulak
Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems. Comput. Vis. Image Underst. 202: 103111 (2021) - [c7]Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem:
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. BMVC 2021: 331 - [c6]Hanul Kang, Ho-min Park, Yuju Ahn, Arnout Van Messem
Towards a quantitative analysis of class activation mapping for deep learning-based computer-aided diagnosis. Image Perception, Observer Performance, and Technology Assessment 2021 - [i8]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 abs/2101.10562 (2021) - [i7]Utku Ozbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem:
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks. CoRR abs/2106.07141 (2021) - [i6]Utku Ozbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve:
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes. CoRR abs/2111.11056 (2021) - 2020
- [j4]Utku Ozbulak
Perturbation analysis of gradient-based adversarial attacks. Pattern Recognit. Lett. 135: 313-320 (2020) - [j3]Manvel Gasparyan
An Automated Model Reduction Method for Biochemical Reaction Networks. Symmetry 12(8): 1321 (2020) - [c5]Ji Yeon Baek
Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams. ICPR Workshops (6) 2020: 86-97 - [c4]Ho-min Park
3-D Deep Learning-Based Item Classification for Belt Conveyors Targeting Packaging and Logistics. ICPR Workshops (4) 2020: 578-591 - [c3]Taewoo Jung, Esla Timothy Anzaku, Utku Özbulak
Automatic Detection of Trypanosomosis in Thick Blood Smears Using Image Pre-processing and Deep Learning. IHCI (2) 2020: 254-266 - [i5]Utku Ozbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem:
Perturbation Analysis of Gradient-based Adversarial Attacks. CoRR abs/2006.01456 (2020) - [i4]Utku Ozbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
Regional Image Perturbation Reduces Lp Norms of Adversarial Examples While Maintaining Model-to-model Transferability. CoRR abs/2007.03198 (2020)
2010 – 2019
- 2019
- [c2]Utku Ozbulak
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding. IJCNN 2019: 1-8 - [c1]Utku Ozbulak
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. MICCAI (2) 2019: 300-308 - [i3]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 abs/1907.12744 (2019) - [i2]Utku Ozbulak, Arnout Van Messem, Wesley De Neve:
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation. CoRR abs/1907.13124 (2019) - 2018
- [i1]Utku Ozbulak, Wesley De Neve, Arnout Van Messem:
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples. CoRR abs/1811.08577 (2018) - 2010
- [j2]Arnout Van Messem
A review on consistency and robustness properties of support vector machines for heavy-tailed distributions. Adv. Data Anal. Classif. 4(2-3): 199-220 (2010)
2000 – 2009
- 2008
- [j1]Andreas Christmann, Arnout Van Messem:
Bouligand Derivatives and Robustness of Support Vector Machines for Regression. J. Mach. Learn. Res. 9: 915-936 (2008)
Coauthor Index
aka: Utku Özbulak
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