Big data clustering via random sketching and validation. - Panagiotis A. Traganitis; Konstantinos Slavakis; Georgios B. Giannakis (ACSSC, 2014)

Clustering high-dimensional data via random sampling and consensus. - Panagiotis A. Traganitis; Konstantinos Slavakis; Georgios B. Giannakis (GlobalSIP, 2014)

Large-scale subspace clustering using random sketching and validation. - Panagiotis A. Traganitis; Konstantinos Slavakis; Georgios B. Giannakis (ACSSC, 2015)

Spectral clustering of large-scale communities via random sketching and validation. - Panagiotis A. Traganitis; Konstantinos Slavakis; Georgios B. Giannakis (CISS, 2015)

Large-scale subspace clustering using sketching and validation. - Panagiotis A. Traganitis; Konstantinos Slavakis; Georgios B. Giannakis (CoRR, 2015)

Sketch and Validate for Big Data Clustering. - Panagiotis A. Traganitis; Konstantinos Slavakis; Georgios B. Giannakis (IEEE J. Sel. Top. Signal Process., 2015)

A randomized approach to large-scale subspace clustering. - Panagiotis A. Traganitis; Georgios B. Giannakis (ACSSC, 2016)

Efficient subspace clustering of large-scale data streams with misses. - Panagiotis A. Traganitis; Georgios B. Giannakis (CISS, 2016)

PARAFAC-based multilinear subspace clustering for tensor data. - Panagiotis A. Traganitis; Georgios B. Giannakis (GlobalSIP, 2016)

Nonlinear dimensionality reduction on graphs. - Yanning Shen; Panagiotis A. Traganitis; Georgios B. Giannakis (CAMSAP, 2017)

Distributed sketched subspace clustering for large-scale datasets. - Panagiotis A. Traganitis; Georgios B. Giannakis (CAMSAP, 2017)

Network topology inference via elastic net structural equation models. - Panagiotis A. Traganitis; Yanning Shen; Georgios B. Giannakis (EUSIPCO, 2017)

Learning from unequally reliable blind ensembles of classifiers. - Panagiotis A. Traganitis; Alba Pagès-Zamora; Georgios B. Giannakis (GlobalSIP, 2017)

Topology inference of multilayer networks. - Panagiotis A. Traganitis; Yanning Shen; Georgios B. Giannakis (INFOCOM Workshops, 2017)

Blind Multi-class Ensemble Learning with Unequally Reliable Classifiers. - Panagiotis A. Traganitis; Alba Pagès-Zamora; Georgios B. Giannakis (CoRR, 2017)

Blind Multi-class Ensemble Learning with Dependent Classifiers. - Panagiotis A. Traganitis; Georgios B. Giannakis (EUSIPCO, 2018)

Kernel-Based Semi-Supervised Learning Over Multilayer Graphs. - Vassilis N. Ioannidis; Panagiotis A. Traganitis; Yanning Shen; Georgios B. Giannakis (SPAWC, 2018)

Sketched Subspace Clustering. - Panagiotis A. Traganitis; Georgios B. Giannakis (IEEE Trans. Signal Process., 2018)

Blind Multiclass Ensemble Classification. - Panagiotis A. Traganitis; Alba Pagès-Zamora; Georgios B. Giannakis (IEEE Trans. Signal Process., 2018)

Blind Ensemble Classification of Sequential Data. - Panagiotis A. Traganitis (DSW, 2019)

Unsupervised Ensemble Classification with Dependent Data. - Panagiotis A. Traganitis; Georgios B. Giannakis (CoRR, 2019)

Constrained Clustering using Gaussian Processes. - Panagiotis A. Traganitis; Georgios B. Giannakis (EUSIPCO, 2020)

Active Learning with Unsupervised Ensembles of Classifiers. - Panagiotis A. Traganitis; Dimitris Berberidis; Georgios B. Giannakis (ICASSP, 2020)

Bayesian Semi-supervised Crowdsourcing. - Panagiotis A. Traganitis; Georgios B. Giannakis (CoRR, 2020)

Identifying Spammers to Boost Crowdsourced Classification. - Panagiotis A. Traganitis; Georgios B. Giannakis (ICASSP, 2021)

Detecting adversaries in Crowdsourcing. - Panagiotis A. Traganitis; Georgios B. Giannakis (ICDM, 2021)

Bayesian Crowdsourcing with Constraints. - Panagiotis A. Traganitis; Georgios B. Giannakis (ECML/PKDD (3), 2021)

Bayesian constrained decision fusion. - Panagiotis A. Traganitis; Georgios B. Giannakis (SPAWC, 2021)

Identifying Dependent Annotators in Crowdsourcing. - Panagiotis A. Traganitis; Georgios B. Giannakis (IEEECONF, 2022)

Unsupervised Ensemble Classification With Sequential and Networked Data. - Panagiotis A. Traganitis; Georgios B. Giannakis (IEEE Trans. Knowl. Data Eng., 2022)

Rayleigh-Ritz Based Updates of the Multilinear Singular Value Decomposition. - Vasileios Kalantzis; Panagiotis A. Traganitis (ACSSC, 2023)

Matrix Resolvent Eigenembeddings for Dynamic Graphs. - Vasileios Kalantzis; Panagiotis A. Traganitis (ICASSP, 2023)

Physics-Informed Transfer Learning for Voltage Stability Margin Prediction. - Manish Kumar Singh 005; Konstantinos D. Polyzos; Panagiotis A. Traganitis; Sairaj V. Dhople; Georgios B. Giannakis (ICASSP, 2023)

Online Canonical Correlation Analysis via Rayleigh-Ritz Projections. - Vassilis Kalantzis; Panagiotis A. Traganitis; Charilaos I. Kanatsoulis (IEEECONF, 2024)

Identifying Anomalous Edges with Link Sampling and Consensus. - Abdullah Karaaslanli; Panagiotis A. Traganitis; Selin Aviyente (IEEECONF, 2024)

A Graph Autoencoder Approach to Crowdsourcing. - Panagiotis A. Traganitis; Charilaos I. Kanatsoulis (SAM, 2024)

Counting Triangles of Graphs via Matrix Partitioning. - Georgios Kollias; Vassilis Kalantzis; Lior Horesh; Shashanka Ubaru; Panagiotis A. Traganitis (MLSP, 2024)

Ensembles of Informative Representations for Self-Supervised Learning. - Konstantinos D. Polyzos; Panagiotis A. Traganitis; Manish Kumar Singh 005; Georgios B. Giannakis (MLSP, 2024)

Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective. - Shahana Ibrahim; Panagiotis A. Traganitis; Xiao Fu 001; Georgios B. Giannakis (CoRR, 2024)

Identifying Adversarial Attacks in Crowdsourcing via Dense Subgraph Detection. - Abdullah Karaaslanli; Panagiotis A. Traganitis; Aritra Konar (ICASSP, 2025)