default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRocco Langone
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Books and Theses
- 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
Journal Articles
- 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) - 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) - 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) - 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) - 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)
Conference and Workshop Papers
- 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 - 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
- [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 - 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 - 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
Informal and Other Publications
- 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) - 2015
- [i3]Rocco Langone, Raghvendra Mall, Carlos Alzate, Johan A. K. Suykens:
Kernel Spectral Clustering and applications. CoRR abs/1505.00477 (2015) - 2014
- [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)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
