< Back to previous page
Researcher
Johan Suykens
- Disciplines:Modelling, Applied mathematics in specific fields, Computer architecture and networks, Information sciences, Information systems, Programming languages, Scientific computing, Theoretical computer science, Visual computing, Other information and computing sciences, Control systems, robotics and automation, Design theories and methods, Mechatronics and robotics, Biological system engineering, Computer theory, Signal processing
Affiliations
- Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → Today - ESAT - STADIUS, Stadius Centre for Dynamical Systems, Signal Processing and Data Analytics (Division)
Member
From1 Jan 2008 → 31 Jul 2020 - Faculty of Engineering Science (Faculty)
Member
From1 Oct 2000 → 30 Sep 2003 - Department of Electrical Engineering (ESAT) (Department)
Member
From1 Oct 1999 → 31 Dec 2007
Projects
1 - 10 of 36
- Designing full data science pipelines for clinical decision support systems (CDS)From9 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Tensor models in kernel machines and deep learningFrom1 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Tensor Tools for Taming the CurseFrom1 Jan 2023 → TodayFunding: BOF - iBOF
- Duality model-based approaches to clusteringFrom27 Sep 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- IMPULS-AI-2021From1 Jan 2021 → 31 Dec 2023Funding: Department General Affairs and Finance
- AI-based Model FusionFrom5 Oct 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Foundations of Trustworthy AI - Integrating Reasoning, Learning and OptimizationFrom1 Sep 2020 → TodayFunding: H2020-EU.2.3.-INDUSTRIAL LEADERSHIP - Innovation in SMEs
- End-user interpretability for complex machine learning modelsFrom11 Oct 2019 → 11 Oct 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
- Constraining Model-Free Reinforcement Learning Algorithms with an Application to Autonomous DrivingFrom24 Sep 2019 → 24 Sep 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
- Optimization Frameworks for Deep Kernel MachinesFrom9 Sep 2019 → 21 Dec 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 410
- Tensor-based multi-view spectral clustering via shared latent space(2024)
Authors: Johan Suykens
- Unsupervised Neighborhood Propagation Kernel Layers for Semi-supervised Node Classification(2024)
Authors: Sonny Achten, Francesco Tonin, Panos Patrinos, Johan Suykens
Pages: 10766 - 10774 - Compressing Features for Learning With Noisy Labels(2024)
Authors: Yingyi Chen, Johan Suykens
Pages: 2124 - 2138 - Deep kernel principal component analysis for multi-level feature learning(2024)
Authors: Panos Patrinos, Johan Suykens
Pages: 578 - 595 - CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities.(2024)
Authors: Christos Chatzichristos, Johan Suykens, Maarten De Vos
Pages: 840 - 849 - Optimization Frameworks for Deep Kernel Machines(2023)
Authors: Francesco Tonin, Johan Suykens, Panos Patrinos
- Island Transpeciation: A Co-Evolutionary Neural Architecture Search, applied to country-scale air-quality forecasting(2023)
Authors: Konstantinos Theodorakos, Mauricio Agudelo Manozca, Joachim Schreurs, Johan Suykens, Bart De Moor
Pages: 878 - 892 - Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms(2023)
Authors: Francesco Tonin, Panos Patrinos, Johan Suykens
Number of pages: 15 - Representation Learning with Restricted Kernel Machines(2023)
Authors: Arun Pandey, Johan Suykens
- Enforcing Hard State-Dependent Action Bounds on Deep Reinforcement Learning Policies(2023)
Authors: Bram De Cooman, Johan Suykens
Pages: 193 - 218Number of pages: 26