Rocco Langone

ORCID

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 13

Top Venues

Katholieke Universiteit Leuven, Belgium (PHD)

Education History

Katholieke Universiteit Leuven, Belgium

PHD

Publications

Mihaly Novak, Rocco Langone, Carlos Alzate, Johan A. K. Suykens
Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems. CoRR (2023)
Rocco Langone, Alfredo Cuzzocrea, Nikolaos Skantzos
A Flexible and Interpretable Framework for Predicting Anomalous Behavior in Industry 4.0 Environments. AINA (2020)
Rocco Langone, Alfredo Cuzzocrea, Nikolaos Skantzos
Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools. Data Knowl. Eng. 130 (2020)
Lynn Houthuys, Rocco Langone, Johan A. K. Suykens
Multi-View Kernel Spectral Clustering. Inf. Fusion 44 (2018)
Lynn Houthuys, Rocco Langone, Johan A. K. Suykens
Multi-View Least Squares Support Vector Machines Classification. Neurocomputing 282 (2018)
Rocco Langone, Johan A. K. Suykens
Fast kernel spectral clustering. Neurocomputing 268 (2017)
Rocco Langone, Johan A. K. Suykens
Supervised aggregated feature learning for multiple instance classification. Inf. Sci. 375 (2017)
Rocco Langone, Marc Van Barel, Johan A. K. Suykens
Efficient evolutionary spectral clustering. Pattern Recognit. Lett. 84 (2016)
Raghvendra Mall, Halima Bensmail, Rocco Langone, Carolina Varon, Johan A. K. Suykens
Denoised Kernel Spectral data Clustering. IJCNN (2016)
Lynn Houthuys, Rocco Langone, Johan A. K. Suykens
Clustering from two data sources using a kernel-based approach with weight coupling. ESANN (2016)
Rocco Langone, Raghvendra Mall, Vilen Jumutc, Johan A. K. Suykens
Fast in-memory spectral clustering using a fixed-size approach. ESANN (2016)
Rocco Langone, Marc Van Barel, Johan A. K. Suykens
Entropy-Based Incomplete Cholesky Decomposition for a Scalable Spectral Clustering Algorithm: Computational Studies and Sensitivity Analysis. Entropy 18 (5) (2016)
Rocco Langone, Johan A. K. Suykens
Efficient multiple scale kernel classifiers. IEEE BigData (2016)
Siamak Mehrkanoon, Carlos Alzate, Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering. IEEE Trans. Neural Networks Learn. Syst. 26 (4) (2015)
Rocco Langone, Raghvendra Mall, Carlos Alzate, Johan A. K. Suykens
Kernel Spectral Clustering and applications. CoRR (2015)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering. ESANN (2015)
Vilen Jumutc, Rocco Langone, Johan A. K. Suykens
Regularized and sparse stochastic k-means for distributed large-scale clustering. IEEE BigData (2015)
Rocco Langone, Carlos Alzate, Bart De Ketelaere, Jonas Vlasselaer, Wannes Meert, Johan A. K. Suykens
LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines. Eng. Appl. Artif. Intell. 37 (2015)
Rocco Langone, Oscar Mauricio Agudelo, Bart De Moor, Johan A. K. Suykens
Incremental kernel spectral clustering for online learning of non-stationary data. Neurocomputing 139 (2014)
Raghvendra Mall, Vilen Jumutc, Rocco Langone, Johan A. K. Suykens
Representative subsets for big data learning using k-NN graphs. IEEE BigData (2014)
Rocco Langone, Carlos Alzate, Abdellatif Bey-Temsamani, Johan A. K. Suykens
Alarm prediction in industrial machines using autoregressive LS-SVM models. CIDM (2014)
Charalampos N. Moschopoulos, Dusan Popovic, Rocco Langone, Johan A. K. Suykens, Bart De Moor, Yves Moreau
Gene interaction networks boost genetic algorithm performance in biomarker discovery. MCDM (2014)
Rocco Langone, Raghvendra Mall, Johan A. K. Suykens
Clustering data over time using kernel spectral clustering with memory. CIDM (2014)
Jonas Vlasselaer, Wannes Meert, Rocco Langone, Luc De Raedt
Condition Monitoring with Incomplete Observations. ECAI (2014)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks. CoRR (2014)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Agglomerative hierarchical kernel spectral data clustering. CIDM (2014)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Agglomerative hierarchical kernel spectral clustering for large scale networks. ESANN (2014)
Raghvendra Mall, Siamak Mehrkanoon, Rocco Langone, Johan A. K. Suykens
Optimal reduced sets for sparse kernel spectral clustering. IJCNN (2014)
Rocco Langone
Clustering evolving data using kernel-based methods. CoRR (2014)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Kernel Spectral Clustering for Big Data Networks. Entropy 15 (5) (2013)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Self-tuned kernel spectral clustering for large scale networks. IEEE BigData (2013)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
Highly Sparse Reductions to Kernel Spectral Clustering. PReMI (2013)
Rocco Langone, Raghvendra Mall, Johan A. K. Suykens
Soft kernel spectral clustering. IJCNN (2013)
Rocco Langone, Carlos Alzate, Bart De Ketelaere, Johan A. K. Suykens
Kernel spectral clustering for predicting maintenance of industrial machines. CIDM (2013)
Raghvendra Mall, Rocco Langone, Johan A. K. Suykens
FURS: Fast and Unique Representative Subset selection retaining large-scale community structure. Soc. Netw. Anal. Min. 3 (4) (2013)
Diego Hernán Peluffo-Ordóñez, Sergio García-Vega, Rocco Langone, Johan A. K. Suykens, Germán Castellanos-Domínguez
Kernel spectral clustering for dynamic data using multiple kernel learning. IJCNN (2013)
Rocco Langone, Carlos Alzate, Johan A. K. Suykens
Kernel spectral clustering for community detection in complex networks. IJCNN (2012)
Rocco Langone, Carlos Alzate, Johan A. K. Suykens
Modularity-based model selection for kernel spectral clustering. IJCNN (2011)

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Publication Activity (10 Years)

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Rocco Langone