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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 42
- Kernel CCA approaches to Deep LearningFrom1 Nov 2025 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Novel Transformer Models: Duality and InterpretabilityFrom7 Oct 2025 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Synergies between Deep Learning and Restricted Kernel MachinesFrom2 Sep 2025 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Rethinking Transformers Through Duality PrinciplesFrom1 Oct 2024 → TodayFunding: BOF - projects
- Shedding Light on the Optimization of Machine Learning Models: A Novel Paradigm Based on Generalized Convexity.From1 Oct 2024 → TodayFunding: FWO fellowships
- Disentanglement in Deep Kernel MachinesFrom14 Aug 2024 → 15 May 2025Funding: Own budget, for example: patrimony, inscription fees, gifts
- 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 → 27 Sep 2025Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 435
- Towards Meaningful Post-Hoc Explanations for End-Users of Predictive Models(2025)
- An attention-based approach for Koopman modeling and predictive control of nonlinear systems(2025)Published in: ISA TransactionsISSN: 0019-0578Volume: 162Pages: 47 - 63
- Generative Kernal Spectral Clustering(2025)Pages: 99 - 104
- SolNet: Open-source deep learning models for photovoltaic power forecasting across the globe(2025)Published in: International journal of forecastingISSN: 0169-2070Issue: 3Volume: 41
- Multimodal Fusion(2025)
- Combining Primal and Dual Representations in Deep Restricted Kernel Machines Classifiers(2025)Pages: 201 - 216
- Feature Learning using Multi-view Kernel Partial Least Squares(2024)Pages: 143 - 148
- Tensor-based multi-view spectral clustering via shared latent space(2024)Published in: An International Journal on Information FusionISSN: 1566-2535Volume: 108
- Learning in Feature Spaces via Coupled Covariances : Asymmetric Kernel SVD and Nystrom method(2024)Number of pages: 19
- Explaining the model and feature dependencies by decomposition of the Shapley value(2024)Published in: Decision Support SystemsISSN: 0167-9236Volume: 182