Rocco Langone

发表

Gene interaction networks boost genetic algorithm performance in biomarker discovery

Johan A. K. Suykens, Bart De Moor, Yves Moreau, 2014, 2014 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM).

Efficient multiple scale kernel classifiers

Johan A. K. Suykens, Rocco Langone, 2016, 2016 IEEE International Conference on Big Data (Big Data).

Visualization of Hierarchical Communities in Large Scale Networks

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015 .

Agglomerative hierarchical kernel spectral clustering for large scale networks

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, ESANN.

Automated structural health monitoring based on adaptive kernel spectral clustering

Johan A. K. Suykens, Rocco Langone, Edwin Reynders, 2017 .

Netgram: Visualizing Communities in Evolving Networks

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015, PloS one.

Condition Monitoring with Incomplete Observations

Luc De Raedt, Wannes Meert, Rocco Langone, 2014, ECAI.

Self-tuned kernel spectral clustering for large scale networks

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2013, 2013 IEEE International Conference on Big Data.

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

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2013, Social Network Analysis and Mining.

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

Johan A. K. Suykens, Rocco Langone, Lynn Houthuys, 2016, ESANN.

Supervised aggregated feature learning for multiple instance classification

Johan A. K. Suykens, Rocco Langone, J. Suykens, 2017, Inf. Sci..

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

Johan A. K. Suykens, Bart De Moor, Rocco Langone, 2014, Neurocomputing.

Kernel spectral clustering for predicting maintenance of industrial machines

Johan A. K. Suykens, Bart De Ketelaere, Rocco Langone, 2013, 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Kernel spectral clustering for dynamic data using multiple kernel learning

Johan A. K. Suykens, Germán Castellanos-Domínguez, Diego Hernán Peluffo-Ordóñez, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Discovering Cluster Dynamics Using Kernel Spectral Methods

Johan A. K. Suykens, Joos Vandewalle, Rocco Langone, 2016 .

Soft kernel spectral clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).

Optimal reduced sets for sparse kernel spectral clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

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

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, PloS one.

Clustering data over time using kernel spectral clustering with memory

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Multiclass Semisupervised Learning Based Upon Kernel Spectral Clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015, IEEE Transactions on Neural Networks and Learning Systems.

Alarm prediction in industrial machines using autoregressive LS-SVM models

Johan A. K. Suykens, Abdellatif Bey-Temsamani, Rocco Langone, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Multi-View Kernel Spectral Clustering

Johan A. K. Suykens, Rocco Langone, Lynn Houthuys, 2018, Inf. Fusion.

Large-Scale Clustering Algorithms

Johan A. K. Suykens, Rocco Langone, Vilen Vilen Jumutc, 2017 .

Kernel Spectral Clustering for Big Data Networks

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2013, Entropy.

Multi-View Least Squares Support Vector Machines Classification

Johan A. K. Suykens, Rocco Langone, Lynn Houthuys, 2017, Neurocomputing.

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

Alfredo Cuzzocrea, Rocco Langone, Nikolaos Skantzos, 2020, AINA.

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

Rocco Langone, 2014 .

Efficient evolutionary spectral clustering

Johan A. K. Suykens, Rocco Langone, Marc Van Barel, 2016, Pattern Recognit. Lett..

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

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015, ESANN.

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

Johan A. K. Suykens, Rocco Langone, Marc Van Barel, 2016, Entropy.

Kernel spectral clustering for community detection in complex networks

Johan A. K. Suykens, Rocco Langone, Carlos Alzate, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

Agglomerative hierarchical kernel spectral data clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM).

Interpretable Anomaly Prediction: Predicting anomalous behavior in industry 4.0 settings via regularized logistic regression tools

Alfredo Cuzzocrea, Rocco Langone, Nikolaos Skantzos, 2020, Data Knowl. Eng..

Representative subsets for big data learning using k-NN graphs

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2014, 2014 IEEE International Conference on Big Data (Big Data).

Denoised Kernel Spectral data Clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Modularity-based model selection for kernel spectral clustering

Johan A. K. Suykens, Rocco Langone, Carlos Alzate, 2011, The 2011 International Joint Conference on Neural Networks.

Highly Sparse Reductions to Kernel Spectral Clustering

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2013, PReMI.

Kernel Spectral Clustering and applications pdf

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015, ArXiv.

Kernel Spectral Clustering and

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2015 .

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

Johan A. K. Suykens, Rocco Langone, Vilen Jumutc, 2015, 2015 IEEE International Conference on Big Data (Big Data).

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

Johan A. K. Suykens, Wannes Meert, Bart De Ketelaere, 2015, Eng. Appl. Artif. Intell..

Clustering evolving data using kernel-based methods pdf

Rocco Langone, R. Langone, 2014, ArXiv.

Fast kernel spectral clustering

Johan A. K. Suykens, Rocco Langone, J. Suykens, 2017, Neurocomputing.

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

Johan A. K. Suykens, Rocco Langone, Raghvendra Mall, 2016, ESANN.

Attribution of Precipitation Changes on a Regional Scale by Neural Network Modeling: A Case Study

Rocco Langone, Antonello Pasini, R. Langone, 2010 .

Fast kernel spectral clustering based on incomplete Cholesky factorization for large scale data analysis

Johan A. K. Suykens, Rocco Langone, Carlos Alzate, 2014 .

Influence of Circulation Patterns on Temperature Behavior at the Regional Scale: A Case Study Investigated via Neural Network Modeling

Rocco Langone, Antonello Pasini, R. Langone, 2012 .