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
31 - 40 of 105
- Interpretable convolutional neural networks for effective translation initiation site prediction(2017)
Authors: Mi Jung Kim, Yvan Saeys, Wesley De Neve, XH Hu, CR Shyu, Y Bromberg, J Gao, Y Gong, D Korkin, I Yoo, et al.
Pages: 1233 - 1237 - Indoor tracking of multiple persons with a 77 GHz MIMO FMCW radar(2017)
Authors: Nicolas Knudde, Baptist Vandersmissen, K. Parashar, Ivo Couckuyt, Azarakhsh Jalalvand, A Bourdoux, Wesley De Neve, Tom Dhaene
Pages: 61 - 64 - Towards robust and reliable multimedia analysis through semantic integration of services(2016)
Authors: Ben De Meester, Ruben Verborgh, Pieter Pauwels, Wesley De Neve, Erik Mannens
Pages: 14019 - 14038 - Normalized semantic web distance(2016)Volume: 9678
Authors: Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, et al.
Pages: 69 - 84 - An automated end-to-end pipeline for fine-grained video annotation using deep neural networks(2016)
Authors: Baptist Vandersmissen, Lucas Sterckx, Thomas Demeester, Azarakhsh Jalalvand, Wesley De Neve
Pages: 409 - 412 - Towards using reservoir computing networks for noise-robust image recognition(2016)
Authors: Azarakhsh Jalalvand, Wesley De Neve, Jean-Pierre Martens
Pages: 1666 - 1672 - A distance-based approach for semantic dissimilarity in knowledge graphs(2016)
Authors: Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, et al.
Pages: 253 - 256 - How can Twitter data and viewing rates enrich one another? A conceptual and empirical comparison between viewing rates and Twitter data for TV audience research(2015)
Authors: Fréderic Godin, Tom Evens, Wesley De Neve, Pieter Verdegem
Number of pages: 1 - Interlinking books with the world: using the semantic web to create books as reliable, machine-understandable information service providers(2015)
Authors: Ben De Meester, Tom De Nies, Wesley De Neve, Rik Van de Walle
- Using EPUB 3 and the open web platform for enhanced presentation and machine-understandable metadata for digital comics(2015)
Authors: Pieter Heyvaert, Tom De Nies, Joachim Van Herwegen, Miel Vander Sande, Ruben Verborgh, Wesley De Neve, Erik Mannens
Pages: 37 - 46