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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 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
41 - 50 of 408
- Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality(2020)
Authors: Arun Pandey, J Schreurs, Johan Suykens
Pages: 481 - 493 - Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality(2020)
Authors: Arun Pandey, Joachim Schreurs, Johan Suykens
Pages: 613 - 624 - Wasserstein Exponential Kernels(2020)
Authors: Henri De Plaen, Michaël Fanuel, Johan Suykens
Number of pages: 6 - Efficient hinging hyperplanes neural network and its application in nonlinear system identification(2020)
Authors: Johan Suykens
- Transductive LSTM for Time-Series Prediction: an Application to Weather Forecasting(2020)
Authors: Zahra Karevan, Johan Suykens
Pages: 1 - 9 - Machine Learning for Energy Performance Prediction in Early Design Stage of Buildings(2020)
Authors: Sundar Singaravel, Philipp Geyer, Hans Janssen, Johan Suykens
- A statistical learning approach to modal regression(2020)
Authors: Yunlong Feng, Johan Suykens
Pages: 1 - 35 - Random Fourier Features via Fast Surrogate Leverage Weighted Sampling(2020)
Authors: Fanghui Liu, Johan Suykens
Pages: 4844 - 4851 - Towards deterministic diverse subset sampling(2020)
Authors: Joachim Schreurs, Michaël Fanuel, Johan Suykens
Pages: 137 - 151 - Generalized support vector regression: duality and tensor-kernel representation(2020)
Authors: Johan Suykens
Pages: 149 - 183