Panagiotis A. Traganitis

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 31

Top Topics

Subspace Clustering

Ensemble Classification

Dimensionality Reduction

Top Venues

Publications

Shahana Ibrahim, Panagiotis A. Traganitis, Xiao Fu, Georgios B. Giannakis
Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective. CoRR (2024)
Manish Kumar Singh, Konstantinos D. Polyzos, Panagiotis A. Traganitis, Sairaj V. Dhople, Georgios B. Giannakis
Physics-Informed Transfer Learning for Voltage Stability Margin Prediction. ICASSP (2023)
Vasileios Kalantzis, Panagiotis A. Traganitis
Rayleigh-Ritz Based Updates of the Multilinear Singular Value Decomposition. ACSSC (2023)
Vasileios Kalantzis, Panagiotis A. Traganitis
Matrix Resolvent Eigenembeddings for Dynamic Graphs. ICASSP (2023)
Panagiotis A. Traganitis, Georgios B. Giannakis
Unsupervised Ensemble Classification With Sequential and Networked Data. IEEE Trans. Knowl. Data Eng. 34 (10) (2022)
Panagiotis A. Traganitis, Georgios B. Giannakis
Identifying Dependent Annotators in Crowdsourcing. IEEECONF (2022)
Panagiotis A. Traganitis, Georgios B. Giannakis
Identifying Spammers to Boost Crowdsourced Classification. ICASSP (2021)
Panagiotis A. Traganitis, Georgios B. Giannakis
Bayesian constrained decision fusion. SPAWC (2021)
Panagiotis A. Traganitis, Georgios B. Giannakis
Detecting adversaries in Crowdsourcing. CoRR (2021)
Panagiotis A. Traganitis, Georgios B. Giannakis
Bayesian Crowdsourcing with Constraints. ECML/PKDD (3) (2021)
Panagiotis A. Traganitis, Georgios B. Giannakis
Detecting adversaries in Crowdsourcing. ICDM (2021)
Panagiotis A. Traganitis, Georgios B. Giannakis
Bayesian Semi-supervised Crowdsourcing. CoRR (2020)
Panagiotis A. Traganitis, Georgios B. Giannakis
Constrained Clustering using Gaussian Processes. EUSIPCO (2020)
Panagiotis A. Traganitis, Dimitris Berberidis, Georgios B. Giannakis
Active Learning with Unsupervised Ensembles of Classifiers. ICASSP (2020)
Panagiotis A. Traganitis, Georgios B. Giannakis
Unsupervised Ensemble Classification with Dependent Data. CoRR (2019)
Panagiotis A. Traganitis
Blind Ensemble Classification of Sequential Data. DSW (2019)
Panagiotis A. Traganitis, Georgios B. Giannakis
Sketched Subspace Clustering. IEEE Trans. Signal Process. 66 (7) (2018)
Panagiotis A. Traganitis, Georgios B. Giannakis
Blind Multi-class Ensemble Learning with Dependent Classifiers. EUSIPCO (2018)
Vassilis N. Ioannidis, Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
Kernel-Based Semi-Supervised Learning Over Multilayer Graphs. SPAWC (2018)
Panagiotis A. Traganitis, Alba Pagès-Zamora, Georgios B. Giannakis
Blind Multiclass Ensemble Classification. IEEE Trans. Signal Process. 66 (18) (2018)
Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis
Nonlinear Dimensionality Reduction on Graphs. CoRR (2018)
Panagiotis A. Traganitis, Alba Pagès-Zamora, Georgios B. Giannakis
Blind Multi-class Ensemble Learning with Unequally Reliable Classifiers. CoRR (2017)
Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
Network topology inference via elastic net structural equation models. EUSIPCO (2017)
Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
Topology inference of multilayer networks. INFOCOM Workshops (2017)
Panagiotis A. Traganitis, Georgios B. Giannakis
Distributed sketched subspace clustering for large-scale datasets. CAMSAP (2017)
Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis
Nonlinear dimensionality reduction on graphs. CAMSAP (2017)
Panagiotis A. Traganitis, Georgios B. Giannakis
Sketched Subspace Clustering. CoRR (2017)
Panagiotis A. Traganitis, Alba Pagès-Zamora, Georgios B. Giannakis
Learning from unequally reliable blind ensembles of classifiers. GlobalSIP (2017)
Panagiotis A. Traganitis, Georgios B. Giannakis
Efficient subspace clustering of large-scale data streams with misses. CISS (2016)
Panagiotis A. Traganitis, Georgios B. Giannakis
PARAFAC-based multilinear subspace clustering for tensor data. GlobalSIP (2016)
Panagiotis A. Traganitis, Georgios B. Giannakis
A randomized approach to large-scale subspace clustering. ACSSC (2016)
Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
Spectral clustering of large-scale communities via random sketching and validation. CISS (2015)
Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
Sketch and Validate for Big Data Clustering. IEEE J. Sel. Top. Signal Process. 9 (4) (2015)
Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
Large-scale subspace clustering using random sketching and validation. ACSSC (2015)
Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
Large-scale subspace clustering using sketching and validation. CoRR (2015)
Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
Sketch and Validate for Big Data Clustering. CoRR (2015)
Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
Big data clustering via random sketching and validation. ACSSC (2014)
Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
Clustering high-dimensional data via random sampling and consensus. GlobalSIP (2014)