< Back to previous page
Researcher
Vincent Renkens
- Disciplines:Artificial intelligence, Multimedia processing, Biological system engineering, Signal processing, Other computer engineering, information technology and mathematical engineering, Medical imaging and therapy
Affiliations
- Processing Speech and Images (PSI) (Division)
Member
From1 Aug 2020 → 30 Sep 2020 - ESAT - PSI, Processing Speech and Images (Division)
Member
From18 Aug 2014 → 31 Jul 2020
Projects
1 - 1 of 1
- ASSIST: Assistive Speech Interface for Smart TechnologiesFrom18 Aug 2014 → 22 Feb 2019Funding: FWO Strategic Basic Research Grant
Publications
1 - 9 of 9
- ASSIST: Assistive Speech Interface for Smart Technologies(2019)
Authors: Vincent Renkens, Hugo Van hamme
- State gradients for RNN memory analysis(2018)
Authors: Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq
Pages: 344 - 346 - Capsule networks for low resource spoken language understanding(2018)
Authors: Vincent Renkens, Hugo Van hamme
Pages: 601 - 605 - State gradients for RNN memory analysis(2018)
Authors: Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq
Pages: 1467 - 1471 - Automatic relevance determination for nonnegative dictionary learning in the Gamma-Poisson model(2017)
Authors: Vincent Renkens, Hugo Van hamme
Pages: 121 - 133 - Weakly supervised learning of Hidden Markov Models for spoken language acquisition(2017)
Authors: Vincent Renkens, Hugo Van hamme
Pages: 285 - 295 - Incrementally learn the relevance of words in a dictionary for spoken language acquisition(2016)
Authors: Vincent Renkens, Hugo Van hamme
Pages: 144 - 150 - Mutually exclusive grounding for weakly supervised Non-negative Matrix Factorisation(2015)
Authors: Vincent Renkens, Hugo Van hamme
Pages: 1388 - 1392 - Acquisition of ordinal words using weakly supervised NMF(2014)
Authors: Vincent Renkens, Bart Ons, Jort Gemmeke, Hugo Van hamme
Pages: 30 - 35