Panagiotis A. Traganitis

49 papers A* 1Misc 11Journal 15Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Subspace Projection Methods for Fast Spectral Embeddings of Evolving Graphs. CoRR Mohammad Eini, Abdullah Karaaslanli, Vassilis Kalantzis, Panagiotis A. Traganitis
2025	Misc	`conf`	Identifying Adversarial Attacks in Crowdsourcing via Dense Subgraph Detection. ICASSP Abdullah Karaaslanli, Panagiotis A. Traganitis, Aritra Konar
2025	J	`jnl`	Learning From Crowdsourced Noisy Labels: A signal processing perspective. IEEE Signal Process. Mag. Shahana Ibrahim, Panagiotis A. Traganitis, Xiao Fu, Georgios B. Giannakis
2025	—	`conf`	Learning from Multiple Noisily Optimal Demonstrators in Stochastic Multi Armed Bandits. MLSP Hongyu Wang, Panagiotis A. Traganitis
2025	—	`conf`	Meta-learning Gaussian Process Priors Using Non-stationary Spectral Features. IEEECONF Yilang Zhang, Qin Lu, Panagiotis A. Traganitis, Georgios B. Giannakis
2025	—	`conf`	Simultaneous Detection of Anomalous Nodes and Edges in Graphs. IEEECONF Abdullah Karaaslanli, Selin Aviyente, Panagiotis A. Traganitis
2024	—	`conf`	A Graph Autoencoder Approach to Crowdsourcing. SAM Panagiotis A. Traganitis, Charilaos I. Kanatsoulis
2024	—	`conf`	Counting Triangles of Graphs via Matrix Partitioning. MLSP Georgios Kollias, Vassilis Kalantzis, Lior Horesh, Shashanka Ubaru, Panagiotis A. Traganitis
2024	—	`conf`	Ensembles of Informative Representations for Self-Supervised Learning. MLSP Konstantinos D. Polyzos, Panagiotis A. Traganitis, Manish Kumar Singh, Georgios B. Giannakis
2024	—	`conf`	Identifying Anomalous Edges with Link Sampling and Consensus. IEEECONF Abdullah Karaaslanli, Panagiotis A. Traganitis, Selin Aviyente
2024	J	`jnl`	Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective. CoRR Shahana Ibrahim, Panagiotis A. Traganitis, Xiao Fu, Georgios B. Giannakis
2024	—	`conf`	Online Canonical Correlation Analysis via Rayleigh-Ritz Projections. IEEECONF Vassilis Kalantzis, Panagiotis A. Traganitis, Charilaos I. Kanatsoulis
2023	Misc	`conf`	Matrix Resolvent Eigenembeddings for Dynamic Graphs. ICASSP Vasileios Kalantzis, Panagiotis A. Traganitis
2023	Misc	`conf`	Physics-Informed Transfer Learning for Voltage Stability Margin Prediction. ICASSP Manish Kumar Singh, Konstantinos D. Polyzos, Panagiotis A. Traganitis, Sairaj V. Dhople, Georgios B. Giannakis
2023	Misc	`conf`	Rayleigh-Ritz Based Updates of the Multilinear Singular Value Decomposition. ACSSC Vasileios Kalantzis, Panagiotis A. Traganitis
2022	—	`conf`	Identifying Dependent Annotators in Crowdsourcing. IEEECONF Panagiotis A. Traganitis, Georgios B. Giannakis
2022	J	`jnl`	Unsupervised Ensemble Classification With Sequential and Networked Data. IEEE Trans. Knowl. Data Eng. Panagiotis A. Traganitis, Georgios B. Giannakis
2021	—	`conf`	Bayesian Crowdsourcing with Constraints. ECML/PKDD (3) Panagiotis A. Traganitis, Georgios B. Giannakis
2021	—	`conf`	Bayesian constrained decision fusion. SPAWC Panagiotis A. Traganitis, Georgios B. Giannakis
2021	A*	`conf`	Detecting adversaries in Crowdsourcing. ICDM Panagiotis A. Traganitis, Georgios B. Giannakis
2021	J	`jnl`	Detecting adversaries in Crowdsourcing. CoRR Panagiotis A. Traganitis, Georgios B. Giannakis
2021	Misc	`conf`	Identifying Spammers to Boost Crowdsourced Classification. ICASSP Panagiotis A. Traganitis, Georgios B. Giannakis
2020	Misc	`conf`	Active Learning with Unsupervised Ensembles of Classifiers. ICASSP Panagiotis A. Traganitis, Dimitris Berberidis, Georgios B. Giannakis
2020	J	`jnl`	Bayesian Semi-supervised Crowdsourcing. CoRR Panagiotis A. Traganitis, Georgios B. Giannakis
2020	—	`conf`	Constrained Clustering using Gaussian Processes. EUSIPCO Panagiotis A. Traganitis, Georgios B. Giannakis
2019	—	`conf`	Blind Ensemble Classification of Sequential Data. DSW Panagiotis A. Traganitis
2019	J	`jnl`	Unsupervised Ensemble Classification with Dependent Data. CoRR Panagiotis A. Traganitis, Georgios B. Giannakis
2018	—	`conf`	Blind Multi-class Ensemble Learning with Dependent Classifiers. EUSIPCO Panagiotis A. Traganitis, Georgios B. Giannakis
2018	J	`jnl`	Blind Multiclass Ensemble Classification. IEEE Trans. Signal Process. Panagiotis A. Traganitis, Alba Pagès-Zamora, Georgios B. Giannakis
2018	—	`conf`	Kernel-Based Semi-Supervised Learning Over Multilayer Graphs. SPAWC Vassilis N. Ioannidis, Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
2018	J	`jnl`	Nonlinear Dimensionality Reduction on Graphs. CoRR Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis
2018	J	`jnl`	Sketched Subspace Clustering. IEEE Trans. Signal Process. Panagiotis A. Traganitis, Georgios B. Giannakis
2017	J	`jnl`	Blind Multi-class Ensemble Learning with Unequally Reliable Classifiers. CoRR Panagiotis A. Traganitis, Alba Pagès-Zamora, Georgios B. Giannakis
2017	—	`conf`	Distributed sketched subspace clustering for large-scale datasets. CAMSAP Panagiotis A. Traganitis, Georgios B. Giannakis
2017	—	`conf`	Learning from unequally reliable blind ensembles of classifiers. GlobalSIP Panagiotis A. Traganitis, Alba Pagès-Zamora, Georgios B. Giannakis
2017	—	`conf`	Network topology inference via elastic net structural equation models. EUSIPCO Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
2017	—	`conf`	Nonlinear dimensionality reduction on graphs. CAMSAP Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis
2017	J	`jnl`	Sketched Subspace Clustering. CoRR Panagiotis A. Traganitis, Georgios B. Giannakis
2017	—	`conf`	Topology inference of multilayer networks. INFOCOM Workshops Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis
2016	Misc	`conf`	A randomized approach to large-scale subspace clustering. ACSSC Panagiotis A. Traganitis, Georgios B. Giannakis
2016	Misc	`conf`	Efficient subspace clustering of large-scale data streams with misses. CISS Panagiotis A. Traganitis, Georgios B. Giannakis
2016	—	`conf`	PARAFAC-based multilinear subspace clustering for tensor data. GlobalSIP Panagiotis A. Traganitis, Georgios B. Giannakis
2015	Misc	`conf`	Large-scale subspace clustering using random sketching and validation. ACSSC Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2015	J	`jnl`	Large-scale subspace clustering using sketching and validation. CoRR Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2015	J	`jnl`	Sketch and Validate for Big Data Clustering. CoRR Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2015	J	`jnl`	Sketch and Validate for Big Data Clustering. IEEE J. Sel. Top. Signal Process. Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2015	Misc	`conf`	Spectral clustering of large-scale communities via random sketching and validation. CISS Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2014	Misc	`conf`	Big data clustering via random sketching and validation. ACSSC Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis
2014	—	`conf`	Clustering high-dimensional data via random sampling and consensus. GlobalSIP Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis