Modularity-based model selection for kernel spectral clustering. - Rocco Langone; Carlos Alzate; Johan A. K. Suykens (IJCNN, 2011)

Kernel spectral clustering for community detection in complex networks. - Rocco Langone; Carlos Alzate; Johan A. K. Suykens (IJCNN, 2012)

Self-tuned kernel spectral clustering for large scale networks. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (IEEE BigData, 2013)

Kernel spectral clustering for predicting maintenance of industrial machines. - Rocco Langone; Carlos Alzate; Bart De Ketelaere; Johan A. K. Suykens (CIDM, 2013)

Soft kernel spectral clustering. - Rocco Langone; Raghvendra Mall; Johan A. K. Suykens (IJCNN, 2013)

Kernel spectral clustering for dynamic data using multiple kernel learning. - Diego Hernán Peluffo-Ordóñez; Sergio García-Vega; Rocco Langone; Johan A. K. Suykens; Germán Castellanos-Domínguez (IJCNN, 2013)

Highly Sparse Reductions to Kernel Spectral Clustering. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (PReMI, 2013)

Kernel Spectral Clustering for Big Data Networks. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (Entropy, 2013)

FURS: Fast and Unique Representative Subset selection retaining large-scale community structure. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (Soc. Netw. Anal. Min., 2013)

Representative subsets for big data learning using k-NN graphs. - Raghvendra Mall; Vilen Jumutc; Rocco Langone; Johan A. K. Suykens (IEEE BigData, 2014)

Alarm prediction in industrial machines using autoregressive LS-SVM models. - Rocco Langone; Carlos Alzate; Abdellatif Bey-Temsamani; Johan A. K. Suykens (CIDM, 2014)

Clustering data over time using kernel spectral clustering with memory. - Rocco Langone; Raghvendra Mall; Johan A. K. Suykens (CIDM, 2014)

Agglomerative hierarchical kernel spectral data clustering. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (CIDM, 2014)

Gene interaction networks boost genetic algorithm performance in biomarker discovery. - Charalampos N. Moschopoulos; Dusan Popovic; Rocco Langone; Johan A. K. Suykens; Bart De Moor; Yves Moreau (MCDM, 2014)

Condition Monitoring with Incomplete Observations. - Jonas Vlasselaer; Wannes Meert; Rocco Langone; Luc De Raedt (ECAI, 2014)

Agglomerative hierarchical kernel spectral clustering for large scale networks. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (ESANN, 2014)

Optimal reduced sets for sparse kernel spectral clustering. - Raghvendra Mall; Siamak Mehrkanoon; Rocco Langone; Johan A. K. Suykens (IJCNN, 2014)

Clustering evolving data using kernel-based methods. - Rocco Langone (CoRR, 2014)

Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (CoRR, 2014)

Incremental kernel spectral clustering for online learning of non-stationary data. - Rocco Langone; Oscar Mauricio Agudelo; Bart De Moor; Johan A. K. Suykens (Neurocomputing, 2014)

Clustering Evolving Data using Kernel-Based Methods (Clusteren van evoluerende data met behulp van kernel-gebaseerde methodes). - Rocco Langone (2014)

Regularized and sparse stochastic k-means for distributed large-scale clustering. - Vilen Jumutc; Rocco Langone; Johan A. K. Suykens (IEEE BigData, 2015)

Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering. - Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (ESANN, 2015)

Kernel Spectral Clustering and applications. - Rocco Langone; Raghvendra Mall; Carlos Alzate; Johan A. K. Suykens (CoRR, 2015)

LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines. - Rocco Langone; Carlos Alzate; Bart De Ketelaere; Jonas Vlasselaer; Wannes Meert; Johan A. K. Suykens (Eng. Appl. Artif. Intell., 2015)

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering. - Siamak Mehrkanoon; Carlos Alzate; Raghvendra Mall; Rocco Langone; Johan A. K. Suykens (IEEE Trans. Neural Networks Learn. Syst., 2015)

Efficient multiple scale kernel classifiers. - Rocco Langone; Johan A. K. Suykens (IEEE BigData, 2016)

Clustering from two data sources using a kernel-based approach with weight coupling. - Lynn Houthuys; Rocco Langone; Johan A. K. Suykens (ESANN, 2016)

Fast in-memory spectral clustering using a fixed-size approach. - Rocco Langone; Raghvendra Mall; Vilen Jumutc; Johan A. K. Suykens (ESANN, 2016)

Denoised Kernel Spectral data Clustering. - Raghvendra Mall; Halima Bensmail; Rocco Langone; Carolina Varon; Johan A. K. Suykens (IJCNN, 2016)

Entropy-Based Incomplete Cholesky Decomposition for a Scalable Spectral Clustering Algorithm: Computational Studies and Sensitivity Analysis. - Rocco Langone; Marc Van Barel; Johan A. K. Suykens (Entropy, 2016)

Efficient evolutionary spectral clustering. - Rocco Langone; Marc Van Barel; Johan A. K. Suykens (Pattern Recognit. Lett., 2016)

Fast kernel spectral clustering. - Rocco Langone; Johan A. K. Suykens (Neurocomputing, 2017)

Supervised aggregated feature learning for multiple instance classification. - Rocco Langone; Johan A. K. Suykens (Inf. Sci., 2017)

Multi-View Least Squares Support Vector Machines Classification. - Lynn Houthuys; Rocco Langone; Johan A. K. Suykens (Neurocomputing, 2018)

Multi-View Kernel Spectral Clustering. - Lynn Houthuys; Rocco Langone; Johan A. K. Suykens (Inf. Fusion, 2018)

A Flexible and Interpretable Framework for Predicting Anomalous Behavior in Industry 4.0 Environments. - Rocco Langone; Alfredo Cuzzocrea; Nikolaos Skantzos (AINA, 2020)

Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools. - Rocco Langone; Alfredo Cuzzocrea; Nikolaos Skantzos (Data Knowl. Eng., 2020)

Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems. - Mihaly Novak; Rocco Langone; Carlos Alzate; Johan A. K. Suykens (CoRR, 2023)