Rocco Langone

Alfredo Cuzzocrea

Nikolaos Skantzos

Data Knowl. Eng., 2020

A Flexible and Interpretable Framework for Predicting Anomalous Behavior in Industry 4.0 Environments.

[BibT_eX]

[DOI]

Alfredo Cuzzocrea

Nikolaos Skantzos

Proceedings of the Advanced Information Networking and Applications, 2020

2018

Multi-View Kernel Spectral Clustering.

[BibT_eX]

[DOI]

Lynn Houthuys

Inf. Fusion, 2018

Multi-View Least Squares Support Vector Machines Classification.

[BibT_eX]

[DOI]

Lynn Houthuys

Neurocomputing, 2018

2017

Supervised aggregated feature learning for multiple instance classification.

[BibT_eX]

[DOI]

Inf. Sci., 2017

Fast kernel spectral clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2017

2016

Efficient evolutionary spectral clustering.

[BibT_eX]

[DOI]

Marc Van Barel

Pattern Recognit. Lett., 2016

Entropy-Based Incomplete Cholesky Decomposition for a Scalable Spectral Clustering Algorithm: Computational Studies and Sensitivity Analysis.

[BibT_eX]

[DOI]

Marc Van Barel

Entropy, 2016

Denoised Kernel Spectral data Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Fast in-memory spectral clustering using a fixed-size approach.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Clustering from two data sources using a kernel-based approach with weight coupling.

[BibT_eX]

[DOI]

Lynn Houthuys

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Efficient multiple scale kernel classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

LS-SVM based spectral clustering and regression for predicting maintenance of industrial machines.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2015

Kernel Spectral Clustering and applications.

[BibT_eX]

[DOI]

CoRR, 2015

Ranking Overlap and Outlier Points in Data using Soft Kernel Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

Regularized and sparse stochastic k-means for distributed large-scale clustering.

[BibT_eX]

[DOI]

Vilen Jumutc

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

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

[BibT_eX]

[DOI]

PhD thesis, 2014

Incremental kernel spectral clustering for online learning of non-stationary data.

[BibT_eX]

[DOI]

Oscar Mauricio Agudelo

Bart De Moor

Neurocomputing, 2014

Multilevel Hierarchical Kernel Spectral Clustering for Real-Life Large Scale Complex Networks.

[BibT_eX]

[DOI]

CoRR, 2014

Clustering evolving data using kernel-based methods.

[BibT_eX]

[DOI]

CoRR, 2014

Optimal reduced sets for sparse kernel spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Agglomerative hierarchical kernel spectral clustering for large scale networks.

[BibT_eX]

[DOI]

Charalampos N. Moschopoulos

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Condition Monitoring with Incomplete Observations.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Gene interaction networks boost genetic algorithm performance in biomarker discovery.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making, 2014

Agglomerative hierarchical kernel spectral data clustering.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Clustering data over time using kernel spectral clustering with memory.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Alarm prediction in industrial machines using autoregressive LS-SVM models.

[BibT_eX]

[DOI]

Carlos Alzate

Abdellatif Bey-Temsamani

Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Representative subsets for big data learning using k-NN graphs.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

FURS: Fast and Unique Representative Subset selection retaining large-scale community structure.

[BibT_eX]

[DOI]

Soc. Netw. Anal. Min., 2013

Kernel Spectral Clustering for Big Data Networks.

[BibT_eX]

[DOI]

Entropy, 2013

Highly Sparse Reductions to Kernel Spectral Clustering.

[BibT_eX]

[DOI]

Diego Hernán Peluffo-Ordóñez

Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Kernel spectral clustering for dynamic data using multiple kernel learning.

[BibT_eX]

[DOI]

Sergio García-Vega

Germán Castellanos-Domínguez

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Soft kernel spectral clustering.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Kernel spectral clustering for predicting maintenance of industrial machines.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

Self-tuned kernel spectral clustering for large scale networks.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Kernel spectral clustering for community detection in complex networks.

[BibT_eX]

[DOI]

Carlos Alzate

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011

Modularity-based model selection for kernel spectral clustering.

[BibT_eX]

[DOI]

Carlos Alzate