| LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines R Langone, C Alzate, B De Ketelaere, J Vlasselaer, W Meert, ... Engineering Applications of Artificial Intelligence 37, 268-278, 2015 | 103 | 2015 |
| Multi-view kernel spectral clustering L Houthuys, R Langone, JAK Suykens Information Fusion 44, 46-56, 2018 | 101 | 2018 |
| Automated structural health monitoring based on adaptive kernel spectral clustering R Langone, E Reynders, S Mehrkanoon, JAK Suykens Mechanical Systems and Signal Processing 90, 64-78, 2017 | 89 | 2017 |
| Kernel spectral clustering for big data networks R Mall, R Langone, JAK Suykens Entropy 15 (5), 1567-1586, 2013 | 87 | 2013 |
| Multi-view least squares support vector machines classification L Houthuys, R Langone, JAK Suykens Neurocomputing 282, 78-88, 2018 | 68 | 2018 |
| Multiclass semisupervised learning based upon kernel spectral clustering S Mehrkanoon, C Alzate, R Mall, R Langone, JAK Suykens IEEE transactions on neural networks and learning systems 26 (4), 720-733, 2014 | 60 | 2014 |
| Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools R Langone, A Cuzzocrea, N Skantzos Data & Knowledge Engineering 130, 101850, 2020 | 58 | 2020 |
| Incremental kernel spectral clustering for online learning of non-stationary data R Langone, OM Agudelo, B De Moor, JAK Suykens Neurocomputing 139, 246-260, 2014 | 51 | 2014 |
| Kernel spectral clustering and applications R Langone, R Mall, C Alzate, JAK Suykens Unsupervised learning algorithms, 135-161, 2016 | 38 | 2016 |
| FURS: Fast and Unique Representative Subset selection retaining large-scale community structure R Mall, R Langone, JAK Suykens Social Network Analysis and Mining 3, 1075-1095, 2013 | 38 | 2013 |
| Soft Kernel Spectral clustering R Langone, R Mall, JAK Suykens Neural Networks (IJCNN), The 2013 International Joint Conference on, 1-8, 2013 | 38 | 2013 |
| Self-tuned kernel spectral clustering for large scale networks R Mall, R Langone, JAK Suykens 2013 IEEE International Conference on Big Data, 385-393, 2013 | 37 | 2013 |
| Representative subsets for big data learning using k-NN graphs R Mall, V Jumutc, R Langone, JAK Suykens 2014 IEEE International Conference on Big Data (Big Data), 37-42, 2014 | 35 | 2014 |
| Kernel spectral clustering with memory effect R Langone, C Alzate, JAK Suykens Physica A: Statistical Mechanics and its Applications 392 (10), 2588-2606, 2013 | 34 | 2013 |
| Multilevel hierarchical kernel spectral clustering for real-life large scale complex networks R Mall, R Langone, JAK Suykens PloS one 9 (6), e99966, 2014 | 30 | 2014 |
| Attribution of precipitation changes on a regional scale by neural network modeling: a case study A Pasini, R Langone Water 2 (3), 321-332, 2010 | 26 | 2010 |
| Kernel spectral clustering for community detection in complex networks R Langone, C Alzate, JAK Suykens The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012 | 20 | 2012 |
| Influence of circulation patterns on temperature behavior at the regional scale: A case study investigated via neural network modeling A Pasini, R Langone Journal of Climate 25 (6), 2123-2128, 2012 | 19 | 2012 |
| Kernel spectral clustering for predicting maintenance of industrial machines R Langone, C Alzate, B De Ketelaere, JAK Suykens 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM), 39-45, 2013 | 17 | 2013 |
| Alarm prediction in industrial machines using autoregressive LS-SVM models R Langone, C Alzate, A Bey-Temsamani, JAK Suykens 2014 IEEE symposium on computational intelligence and data mining (CIDM …, 2014 | 16 | 2014 |
Johan SuykensProfessor, KU Leuven在 esat.kuleuven.be 的电子邮件经过验证
