Rocco Langone - RankMe

39 papers A 1B 11C 4Journal 16Unranked 6

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