Selin Aviyente

Orcid: 0000-0001-9023-107X

According to our database1, Selin Aviyente authored at least 147 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Learning Graph Filters for Structure-Function Coupling based Hub Node Identification.
CoRR, 2024

Multiview Graph Learning with Consensus Graph.
CoRR, 2024

Community Detection in Multiplex Networks Based on Orthogonal Nonnegative Matrix Tri-Factorization.
IEEE Access, 2024

Discriminative Community Detection for Multiplex Networks.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Graph Filtering for Hub Node Identification in Brain Networks.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Subgroup Identification Through Multiplex Community Structure Within Functional Connectivity Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

Spatiotemporal Group Anomaly Detection via Graph Total Variation on Tensors.
Proceedings of the IEEE International Conference on Acoustics, 2024

Structured Robust Tensor Decomposition for Multilayer Community Detection: Application to Functional Connectivity Networks.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Kernelized multiview signed graph learning for single-cell RNA sequencing data.
BMC Bioinform., December, 2023

A Unified Spectral Clustering Approach for Detecting Community Structure in Multilayer Networks.
Symmetry, July, 2023

From Nano to Macro: An overview of the IEEE Bio Image and Signal Processing Technical Committee.
IEEE Signal Process. Mag., June, 2023

Attributed Graph Clustering for Functional Connectivity Networks.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Variability of Functional Connectomes Through Community Structure.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multiple Signed Graph Learning for Gene Regulatory Network Inference.
Proceedings of the IEEE International Conference on Acoustics, 2023

Dynamic Signed Graph Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Tensor Low Rank Column-Wise Compressive Sensing for Dynamic Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Explainability in Graph Data Science: Interpretability, replicability, and reproducibility of community detection.
IEEE Signal Process. Mag., 2022

Graph Regularized Low-Rank Tensor-Train for Robust Principal Component Analysis.
IEEE Signal Process. Lett., 2022

GLOSS: Tensor-based anomaly detection in spatiotemporal urban traffic data.
Signal Process., 2022

Coupled support tensor machine classification for multimodal neuroimaging data.
Stat. Anal. Data Min., 2022

Optimal Graph Filters for Clustering Attributed Graphs.
CoRR, 2022

scSGL: kernelized signed graph learning for single-cell gene regulatory network inference.
Bioinform., 2022

Community Detection in Fully-Connected Multi-layer Networks Through Joint Nonnegative Matrix Factorization.
IEEE Access, 2022

Simultaneous Graph Signal Clustering and Graph Learning.
Proceedings of the International Conference on Machine Learning, 2022

Orthogonal Nonnegative Matrix Tri-Factorization for Community Detection in Multiplex Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

Community Detection in Attributed Networks Using Graph Wavelets.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Community Detection in Dynamic Networks: Equivalence Between Stochastic Blockmodels and Evolutionary Spectral Clustering.
IEEE Trans. Signal Inf. Process. over Networks, 2021

Multi-Branch Tensor Network Structure for Tensor-Train Discriminant Analysis.
IEEE Trans. Image Process., 2021

A signal processing perspective to community detection in dynamic networks.
Digit. Signal Process., 2021

Graph Learning From Noisy and Incomplete Signals on Graphs.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2021

Low-Rank on Graphs Plus Temporally Smooth Sparse Decomposition for Anomaly Detection in Spatiotemporal Data.
Proceedings of the IEEE International Conference on Acoustics, 2021

Granger Causality Based Directional Phase-Amplitude Coupling Measure.
Proceedings of the IEEE International Conference on Acoustics, 2021

Graph Theoretic Analysis of Multilayer EEG Connectivity Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Graph Regularized Tensor Train Decomposition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Matching Pursuit Based Dynamic Phase-Amplitude Coupling Measure.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Constrained Spectral Clustering for Dynamic Community Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Detecting and Tracking Community Structure in Temporal Networks: A Low-Rank + Sparse Estimation Based Evolutionary Clustering Approach.
IEEE Trans. Signal Inf. Process. over Networks, 2019

Tensor Based Temporal and Multilayer Community Detection for Studying Brain Dynamics During Resting State fMRI.
IEEE Trans. Biomed. Eng., 2019

Comparison of Wavelet and RID-Rihaczek Based Methods for Phase-Amplitude Coupling.
IEEE Signal Process. Lett., 2019

Strength Adjusted Multilayer Spectral Clustering.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Tensor-Train Discriminant Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Time-frequency Based Multivariate Phase-amplitude Coupling Measure.
Proceedings of the IEEE International Conference on Acoustics, 2019

Low-rank Estimation Based Evolutionary Clustering for Community Detection in Temporal Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Extension of PCA to Higher Order Data Structures: An Introduction to Tensors, Tensor Decompositions, and Tensor PCA.
Proc. IEEE, 2018

A Two-Stage Approach to Robust Tensor Decomposition.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Temporal Block Spectral Clustering for Multi-Layer Temporal Functional Connectivity Networks.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Functional Connectivity States of the Brain Using Restricted Boltzmann Machines.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sparse Discriminative Tensor Dictionary Learning for Object Classification.
Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

2017
Recursive Tensor Subspace Tracking for Dynamic Brain Network Analysis.
IEEE Trans. Signal Inf. Process. over Networks, 2017

The Use of Bearing Currents and Vibrations in Lifetime Estimation of Bearings.
IEEE Trans. Ind. Informatics, 2017

A Tensor Decomposition-Based Approach for Detecting Dynamic Network States From EEG.
IEEE Trans. Biomed. Eng., 2017

Hierarchical distributed compressive sensing for simultaneous sparse approximation and common component extraction.
Digit. Signal Process., 2017

Multiscale Analysis for Higher-order Tensors.
CoRR, 2017

Dynamic Graph Fourier Transform on temporal functional connectivity networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multi-scale higher order singular value decomposition (MS-HoSVD) for resting-state FMRI compression and analysis.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Structured dictionary learning for sparse common component and innovation model.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A tensor based framework for community detection in dynamic networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
A Measure of Multivariate Phase Synchrony Using Hyperdimensional Geometry.
IEEE Trans. Signal Process., 2016

Temporal network tracking based on tensor factor analysis of graph signal spectrum.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

A multiscale approach for tensor denoising.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Evolutionary spectral graph clustering through subspace distance measure.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Functional connectivity brain network analysis through network to signal transform based on the resistance distance.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Online low-rank + sparse structure learning for dynamic network tracking.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Graph information theoretic measures on functional connectivity networks based on graph-to-signal transform.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Multiscale tensor decomposition.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Extended Kalman Filtering for Remaining-Useful-Life Estimation of Bearings.
IEEE Trans. Ind. Electron., 2015

Hierarchical Spectral Consensus Clustering for Group Analysis of Functional Brain Networks.
IEEE Trans. Biomed. Eng., 2015

A time-frequency based bivariate synchrony measure for reducing volume conduction effects in EEG.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Locally linear low-rank tensor approximation.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

A Tucker decomposition based approach for topographic functional connectivity state summarization.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

2014
Network Community Structure Detection for Directional Neural Networks Inferred From Multichannel Multisubject EEG Data.
IEEE Trans. Biomed. Eng., 2014

Discovering the hidden health states in bearing vibration signals for fault prognosis.
Proceedings of the IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA, October 29, 2014

Identification of dynamic functional brain network states through tensor decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2014

Low-rank tensor decomposition based dynamic network tracking.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

A graph theoretic approach to dynamic functional connectivity tracking and network state identification.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Computation of resting state networks from fMRI through a measure of phase synchrony.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Multiple subject analysis of functional brain network communities through co-regularized spectral clustering.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Effective connectivity in FMRI from mutual prediction approach.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Graph wavelet transform: Application to image segmentation.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Fourier transform for signals on dynamic graphs.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Scale Invariant Feature Extraction Algorithm for the Automatic Diagnosis of Rotor Asymmetries in Induction Motors.
IEEE Trans. Ind. Informatics, 2013

The Effect of Failure Prognosis and Mitigation on the Reliability of Permanent-Magnet AC Motor Drives.
IEEE Trans. Ind. Electron., 2013

Subspace analysis for characterizing dynamic functional brain networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Hyperspherical phase synchrony measure for quantifying global synchronization in the brain.
Proceedings of the IEEE International Conference on Acoustics, 2013

Multi-scale anomaly detection in complex dynamic networks.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Two-dimensional SVD for event detection in dynamic functional brain networks.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

A multi-scale energy detector for anomaly detection in dynamic networks.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
A Signal-Processing-Based Approach to Time-Varying Graph Analysis for Dynamic Brain Network Identification.
Comput. Math. Methods Medicine, 2012

Quantification of Effective Connectivity in the Brain Using a Measure of Directed Information.
Comput. Math. Methods Medicine, 2012

Hyperspherical phase synchrony for quantifying multivariate phase synchronization.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Dynamic network summarization using convex optimization.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

The relationship between transfer entropy and directed information.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Discriminative sparse image representation for classification based on a greedy algorithm.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Graph entropy rate minimization and the compressibility of undirected binary graphs.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011
A Time-Frequency-Based Approach to Phase and Phase Synchrony Estimation.
IEEE Trans. Signal Process., 2011

Prognosis of Gear Failures in DC Starter Motors Using Hidden Markov Models.
IEEE Trans. Ind. Electron., 2011

Multivariate Empirical Mode Decomposition for Quantifying Multivariate Phase Synchronization.
EURASIP J. Adv. Signal Process., 2011

Joint frequency spectral lag representation for cross-frequency modulation analysis in the brain.
Proceedings of the IEEE International Conference on Acoustics, 2011

Time-lagged Directed Information.
Proceedings of the IEEE International Conference on Acoustics, 2011

Multichannel EEG analysis based on multi-scale multi-information.
Proceedings of the IEEE International Conference on Acoustics, 2011

Quantifying the functional importance of neuronal assemblies in the brain using Laplacian Hückel graph Energy.
Proceedings of the IEEE International Conference on Acoustics, 2011

Community detection for directional neural networks inferred from EEG data.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Multivariate synchrony modules identified through multiple subject community detection in functional brain networks.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

Identifying multivariate EEG synchronization networks through multiple subject community detection.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
The multi-bit watermarking method for speech signals in the time-frequency domain.
Integr. Comput. Aided Eng., 2010

Time-Frequency Data Reduction for Event Related Potentials: Combining Principal Component Analysis and Matching Pursuit.
EURASIP J. Adv. Signal Process., 2010

Directed network inference using a measure of directed information.
Proceedings of the IEEE International Conference on Acoustics, 2010

Identifying functional clusters in the brain using phase synchrony.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Computationally Efficient Scale Covariant Time-Frequency Distributions.
EURASIP J. Adv. Signal Process., 2009

Watermarking of speech signals in the time-frequency domain.
Proceedings of the 2009 IEEE International Conference on Electro/Information Technology, 2009

2008
Wavelet Feature Selection for Image Classification.
IEEE Trans. Image Process., 2008

Time-Frequency Analysis for Efficient Fault Diagnosis and Failure Prognosis for Interior Permanent-Magnet AC Motors.
IEEE Trans. Ind. Electron., 2008

The Relationship Between Two Directed Information Measures.
IEEE Signal Process. Lett., 2008

Underdetermined source separation of EEG signals in the time-frequency domain.
Proceedings of the IEEE International Conference on Acoustics, 2008

Multiple trial processing of multivariate phase synchronization in brain signals.
Proceedings of the IEEE International Conference on Acoustics, 2008

Image encryption scheme based on using least square approximation techniques.
Proceedings of the 2008 IEEE International Conference on Electro/Information Technology, 2008

2007
Markov and multifractal wavelet models for wireless MAC-to-MAC channels.
Perform. Evaluation, 2007

Edge-directed inference for microaneurysms detection in digital fundus images.
Proceedings of the Medical Imaging 2007: Image Processing, 2007

Underdetermined Source Separation in the Time-Frequency Domain.
Proceedings of the IEEE International Conference on Acoustics, 2007

A Time-Varying Phase Coherence Measure for Quantifying Functional Integration in the Brain.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Information-theoretic wavelet packet subband selection for texture classification.
Signal Process., 2006

Multitaper marginal time-frequency distributions.
Signal Process., 2006

Sparse Representation for Signal Classification.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Spatially Adaptive Wavelet Thresholding for Image Watermarking.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Robust Watermarking in the Wigner Domain.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Rotation Invariant Texture Classification with Ridgelet Transform and Fourier Transform.
Proceedings of the International Conference on Image Processing, 2006

Jensen-Rényi Divergence for Source Separation on the Time-Frequency Plane.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Information-Theoretic Nonstationary Source Separation.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Analysis of Event Related Potentials using PCA and Matching Pursuit on the Time-Frequency Plane.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

2005
Minimum entropy time-frequency distributions.
IEEE Signal Process. Lett., 2005

Statistical partitioning of wavelet subbands for texture classification.
Proceedings of the 2005 International Conference on Image Processing, 2005

Image Denoising Based on the Wavelet Co-Occurrence Matrix.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Mutual Information Based Subbband Selection for Wavelet Packet Based Image Classification.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A measure of mutual information on the time-frequency plane.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Information-theoretic signal processing on the time-frequency plane and applications.
Proceedings of the 13th European Signal Processing Conference, 2005

A time-frequency based perceptual and robust watermarking scheme.
Proceedings of the 13th European Signal Processing Conference, 2005

Image watermarking based on wavelet hard thresholding.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
A centrosymmetric kernel decomposition for time-frequency distribution computation.
IEEE Trans. Signal Process., 2004

Characterization of event related potentials using information theoretic distance measures.
IEEE Trans. Biomed. Eng., 2004

Choosing best basis in wavelet packets for fingerprint matching.
Proceedings of the 2004 International Conference on Image Processing, 2004

Information processing on the time-frequency plane.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
An information theoretic approach to digital image watermarking.
Proceedings of the Visual Communications and Image Processing 2003, 2003

Divergence measures for time-frequency distributions.
Proceedings of the Seventh International Symposium on Signal Processing and Its Applications, 2003

Entropy based detection on the time-frequency plane.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2001
Spectrogram decompositions of time-frequency distributions.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

Information bounds for random signals in time-frequency plane.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Improved frequency marginal estimates for time-frequency distributions.
Proceedings of the IEEE International Conference on Acoustics, 2000


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