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Researcher
Rocco Langone
- Disciplines:Modelling, Multimedia processing, Sensors, biosensors and smart sensors, Other electrical and electronic engineering, Other engineering and technology
Affiliations
- Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → 30 Sep 2016 - Department of Electrical Engineering (ESAT) (Department)
Member
From1 Oct 2016 → 30 Sep 2017
Publications
1 - 10 of 50
- Multi-view Least Squares Support Vector Machines Classification(2018)
Authors: Lynn Houthuys, Rocco Langone, Johan Suykens
Pages: 78 - 88 - Fast Kernel Spectral Clustering(2017)
Authors: Rocco Langone, Johan Suykens
Pages: 27 - 33 - Automated structural health monitoring based on adaptive kernel spectral clustering(2017)
Authors: Rocco Langone, Edwin Reynders, Siamak Mehrkanoon, Johan Suykens
Pages: 64 - 78 - Supervised aggregated feature learning for multiple instance classification(2017)
Authors: Rocco Langone, Johan Suykens
Pages: 234 - 245 - Large-Scale Clustering Algorithms(2017)
Authors: Rocco Langone, Johan Suykens
Pages: 3 - 28 - Multi-View Kernel Spectral Clustering(2017)
Authors: Lynn Houthuys, Rocco Langone, Johan Suykens
Pages: 46 - 56 - Efficient multiple scale kernel classifiers(2016)
Authors: Rocco Langone, Johan Suykens
Pages: 128 - 133 - Efficient evolutionary spectral clustering(2016)
Authors: Rocco Langone, Marc Van Barel, Johan Suykens
Pages: 78 - 84 - Denoised Kernel Spectral Data Clustering(2016)
Authors: Raghvendra Mall, Rocco Langone, Carolina Varon Perez, Johan Suykens
Pages: 3709 - 3716 - Entropy-based Incomplete Cholesky Decomposition for a Scalable Spectral Clustering Algorithm: Computational Studies and Sensitivity Analysis(2016)
Authors: Rocco Langone, Marc Van Barel, Johan Suykens
Pages: 1 - 15