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
1 - 10 of 105
- CRISPR-Cas-Docker : web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins(2023)
Authors: Homin Park, Jong Bum Won, Yunseol Park, Esla Timothy Anzaku, Joris Vankerschaver, Arnout Van Messem, Wesley De Neve, Hyunjin Shim
- Tryp : a dataset of microscopy images of unstained thick blood smears for trypanosome detection(2023)
Authors: Esla Timothy Anzaku, Mohammed Aliy Mohammed, Utku Özbulak, Jongbum Won, Hyesoo Hong, Janarthanan Krishnamoorthy, Sofie Van Hoecke, Stefan Magez, Arnout Van Messem, Wesley De Neve
- Towards multimodal prediction of time-continuous emotion using pose feature engineering and a transformer encoder(2022)
Authors: Homin Park, Ilho Yun, Ajit Kumar, Ankit Kumar Singh, Bong Jun Choi, Dhananjay Singh, Wesley De Neve
Pages: 47 - 54 - Evaluating adversarial attacks on ImageNet : a reality check on misclassification classes(2021)
Authors: Utku Özbulak, Maura Pintor, Arnout Van Messem, Wesley De Neve
Number of pages: 1 - Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems(2021)
Authors: Utku Özbulak, Baptist Vandersmissen, Azarakhsh Jalalvand, Ivo Couckuyt, Arnout Van Messem, Wesley De Neve
- Selection of source images heavily influences the effectiveness of adversarial attacks(2021)
Authors: Utku Özbulak, Esla Timothy Anzaku, Wesley De Neve, Arnout Van Messem
Number of pages: 1 - Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit(2021)
Authors: Morgane Boone, Robbin Bouwmeester, Berre Van Moer, Davy Maddelein, Demet Turan, Niels Hulstaert, Hannah Eeckhaut, Elien Vandermarliere, Lennart Martens, Wesley De Neve, et al.
- 3-D deep learning-based item classification for belt conveyors targeting packaging and logistics(2021)Volume: 12666
Authors: Homin Park, Byungkon Kang, Arnout Van Messem, Wesley De Neve, Alberto Del Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, et al.
Pages: 578 - 591 - Automatic detection of Trypanosomosis in thick blood smears using image pre-processing and deep learning(2021)Volume: 12616
Authors: Taewoo Jung, Esla Timothy Anzaku, Utku Özbulak, Stefan Magez, Arnout Van Messem, Wesley De Neve
Pages: 254 - 266 - Item measurement for logistics-oriented belt conveyor systems using a scenario-driven approach and automata-based control design(2020)
Authors: Homin Park, Arnout Van Messem, Wesley De Neve
Pages: 271 - 280