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ORCIDRocco Langone
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2020 – today
- 2023
[i4]Mihaly Novak
, Rocco Langone, Carlos Alzate, Johan A. K. Suykens:
Accelerated sparse Kernel Spectral Clustering for large scale data clustering problems. CoRR abs/2310.13381 (2023)- 2020
- [j12]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: 101850 (2020) - [c22]Rocco Langone, Alfredo Cuzzocrea, Nikolaos Skantzos:
A Flexible and Interpretable Framework for Predicting Anomalous Behavior in Industry 4.0 Environments. AINA 2020: 693-702
2010 – 2019
- 2018
- [j11]Lynn Houthuys, Rocco Langone, Johan A. K. Suykens:
Multi-View Least Squares Support Vector Machines Classification. Neurocomputing 282: 78-88 (2018) - [j10]Lynn Houthuys, Rocco Langone, Johan A. K. Suykens:
Multi-View Kernel Spectral Clustering. Inf. Fusion 44: 46-56 (2018) - 2017
- [j9]Rocco Langone, Johan A. K. Suykens:
Fast kernel spectral clustering. Neurocomputing 268: 27-33 (2017) - [j8]Rocco Langone, Johan A. K. Suykens:
Supervised aggregated feature learning for multiple instance classification. Inf. Sci. 375: 234-245 (2017) - 2016
- [j7]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): 182 (2016) - [j6]Rocco Langone, Marc Van Barel, Johan A. K. Suykens:
Efficient evolutionary spectral clustering. Pattern Recognit. Lett. 84: 78-84 (2016) - [c21]Rocco Langone, Johan A. K. Suykens:
Efficient multiple scale kernel classifiers. IEEE BigData 2016: 128-133 - [c20]Lynn Houthuys, Rocco Langone, Johan A. K. Suykens:
Clustering from two data sources using a kernel-based approach with weight coupling. ESANN 2016 - [c19]Rocco Langone, Raghvendra Mall, Vilen Jumutc, Johan A. K. Suykens:
Fast in-memory spectral clustering using a fixed-size approach. ESANN 2016 - [c18]Raghvendra Mall, Halima Bensmail, Rocco Langone, Carolina Varon, Johan A. K. Suykens:
Denoised Kernel Spectral data Clustering. IJCNN 2016: 3709-3716 - 2015
- [j5]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: 268-278 (2015) - [j4]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): 720-733 (2015) - [c17]Vilen Jumutc, Rocco Langone, Johan A. K. Suykens:
Regularized and sparse stochastic k-means for distributed large-scale clustering. IEEE BigData 2015: 2535-2540 - [c16]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering. ESANN 2015 - [i3]Rocco Langone, Raghvendra Mall, Carlos Alzate, Johan A. K. Suykens:
Kernel Spectral Clustering and applications. CoRR abs/1505.00477 (2015) - 2014
- [b1]Rocco Langone:
Clustering Evolving Data using Kernel-Based Methods (Clusteren van evoluerende data met behulp van kernel-gebaseerde methodes). Katholieke Universiteit Leuven, Belgium, 2014 - [j3]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: 246-260 (2014) - [c15]Raghvendra Mall, Vilen Jumutc, Rocco Langone, Johan A. K. Suykens:
Representative subsets for big data learning using k-NN graphs. IEEE BigData 2014: 37-42 - [c14]Rocco Langone, Raghvendra Mall, Johan A. K. Suykens:
Clustering data over time using kernel spectral clustering with memory. CIDM 2014: 1-8 - [c13]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Agglomerative hierarchical kernel spectral data clustering. CIDM 2014: 9-16 - [c12]Rocco Langone, Carlos Alzate, Abdellatif Bey-Temsamani, Johan A. K. Suykens:
Alarm prediction in industrial machines using autoregressive LS-SVM models. CIDM 2014: 359-364 - [c11]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: 144-149 - [c10]Jonas Vlasselaer, Wannes Meert, Rocco Langone, Luc De Raedt:
Condition Monitoring with Incomplete Observations. ECAI 2014: 1215-1216 - [c9]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Agglomerative hierarchical kernel spectral clustering for large scale networks. ESANN 2014 - [c8]Raghvendra Mall, Siamak Mehrkanoon, Rocco Langone, Johan A. K. Suykens:
Optimal reduced sets for sparse kernel spectral clustering. IJCNN 2014: 2436-2443 - [i2]Rocco Langone:
Clustering evolving data using kernel-based methods. CoRR abs/1411.5988 (2014) - [i1]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks. CoRR abs/1411.7640 (2014) - 2013
- [j2]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Kernel Spectral Clustering for Big Data Networks. Entropy 15(5): 1567-1586 (2013) - [j1]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): 1075-1095 (2013) - [c7]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Self-tuned kernel spectral clustering for large scale networks. IEEE BigData 2013: 385-393 - [c6]Rocco Langone, Carlos Alzate, Bart De Ketelaere, Johan A. K. Suykens:
Kernel spectral clustering for predicting maintenance of industrial machines. CIDM 2013: 39-45 - [c5]Rocco Langone, Raghvendra Mall, Johan A. K. Suykens:
Soft kernel spectral clustering. IJCNN 2013: 1-8 - [c4]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: 1-6 - [c3]Raghvendra Mall, Rocco Langone, Johan A. K. Suykens:
Highly Sparse Reductions to Kernel Spectral Clustering. PReMI 2013: 163-169 - 2012
- [c2]Rocco Langone, Carlos Alzate, Johan A. K. Suykens:
Kernel spectral clustering for community detection in complex networks. IJCNN 2012: 1-8 - 2011
- [c1]Rocco Langone, Carlos Alzate, Johan A. K. Suykens:
Modularity-based model selection for kernel spectral clustering. IJCNN 2011: 1849-1856
Coauthor Index
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