Researcher
Wesley De Neve
- Keywords:genomic data analysis, medical image analysis, machine learning, multimedia, deep learning, bio-informatics, video coding, artificial intelligence, computer vision, video adaptation
- Disciplines:Interactive and intelligent systems, Image and language processing, Biomedical image processing, Computer science, Computer vision, Multimedia processing not elsewhere classified, Image processing, Bio-informatics, Machine learning and decision making
Affiliations
- Department of Environmental Technology, Food Technology and Molecular Biotechnology (Department)
Member
From1 Sep 2015 → Today - Department of Electronics and information systems (Department)
Member
From1 Aug 2002 → Today
Projects
1 - 6 of 6
- Improving PIPAC therapy responses in cancer patients with peritoneal metastases using robust computer visionFrom1 Oct 2022 → TodayFunding: BOF - projects
- Automatic Detection of Parasites in Stool and Blood Smear Images using Trustworthy Machine LearningFrom1 Oct 2022 → TodayFunding: BOF - doctoral mandates
- Enriching context-aware protein embedding models with 3-D structural information for improved protein secretability and kinase substrate site predictionFrom1 Nov 2020 → 31 Oct 2023Funding: FWO junior postdoctoral fellowship
- SECRiFY: a new tool for studying eukaryotic protein secretion.From1 Nov 2019 → 31 Oct 2023Funding: FWO fellowships
- SECRiFY: a new tool for studying eukaryotic protein secretion.From1 Oct 2019 → 1 Nov 2019Funding: BOF - doctoral mandates
- Forging connections between machine learning techniques and strongly correlated physical systemsFrom1 Oct 2018 → 15 Sep 2022Funding: FWO fellowships
Publications
11 - 20 of 105
- Perturbation analysis of gradient-based adversarial attacks(2020)
Authors: Utku Özbulak, Manvel Gasparyan, Wesley De Neve, Arnout Van Messem
Pages: 313 - 320 - Regional image perturbation reduces Lp norms of adversarial examples while maintaining model-to-model transferability(2020)
Authors: Utku Özbulak, Jonathan Peck, Wesley De Neve, Bart Goossens, Yvan Saeys, Arnout Van Messem
Number of pages: 1 - Restricted Boltzmann machines for quantum states with non-abelian or anyonic symmetries(2020)
Authors: Tom Vieijra, Corneel Casert, Jannes Nys, Wesley De Neve, Jutho Haegeman, Jan Ryckebusch, Frank Verstraete
- Indoor human activity recognition using high-dimensional sensors and deep neural networks(2020)
Authors: Baptist Vandersmissen, Nicolas Knudde, Azarakhsh Jalalvand, Ivo Couckuyt, Tom Dhaene, Wesley De Neve
Pages: 12295 - 12309 - Not all adversarial examples require a complex defense : identifying over-optimized adversarial examples with IQR-based logit thresholding(2019)
Authors: Utku Özbulak, Arnout Van Messem, Wesley De Neve
Number of pages: 1 - Investigating the biological relevance in trained embedding representations of protein sequences(2019)
Authors: Jasper Zuallaert, Xiaoyong Pan, Yvan Saeys, Xi Wang, Wesley De Neve
Number of pages: 1 - Impact of adversarial examples on deep learning models for biomedical image segmentation(2019)Volume: 11765
Authors: Utku Özbulak, Arnout Van Messem, Wesley De Neve, Dinggang Shen, Tianming Liu, Terry M Peters, Lawrence H Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, et al.
Pages: 300 - 308 - Radar signal processing for human identification by means of reservoir computing networks(2019)
Authors: Azarakhsh Jalalvand, Baptist Vandersmissen, Wesley De Neve, Erik Mannens
Pages: 1 - 6 - Towards diagnosis of rotator cuff tears in 3-D MRI using 3-D convolutional neural networks(2019)
Authors: Mi Jung Kim, Homin Park, J.Y. Kim, Sofie Van Hoecke, Wesley De Neve
Number of pages: 1 - Medinoid : computer-aided diagnosis and localization of glaucoma using deep learning(2019)
Authors: Mijung Kim, Jong Chul Han, Seung Hyup Hyun, Olivier Janssens, Sofie Van Hoecke, Changwon Kee, Wesley De Neve