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ORCIDPanagiotis A. Traganitis
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2020 – today
- 2024
[c26]Panagiotis A. Traganitis, Charilaos I. Kanatsoulis:
A Graph Autoencoder Approach to Crowdsourcing. SAM 2024: 1-5- [i9]Shahana Ibrahim, Panagiotis A. Traganitis, Xiao Fu, Georgios B. Giannakis:
Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective. CoRR abs/2407.06902 (2024) - 2023
- [c25]Vasileios Kalantzis, Panagiotis A. Traganitis:
Rayleigh-Ritz Based Updates of the Multilinear Singular Value Decomposition. ACSSC 2023: 1059-1063 - [c24]Vasileios Kalantzis, Panagiotis A. Traganitis
:
Matrix Resolvent Eigenembeddings for Dynamic Graphs. ICASSP 2023: 1-5 - [c23]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: 1-5 - 2022
- [j4]Panagiotis A. Traganitis, Georgios B. Giannakis:
Unsupervised Ensemble Classification With Sequential and Networked Data. IEEE Trans. Knowl. Data Eng. 34(10): 5009-5022 (2022) - [c22]Panagiotis A. Traganitis, Georgios B. Giannakis:
Identifying Dependent Annotators in Crowdsourcing. IEEECONF 2022: 1276-1280 - 2021
- [c21]Panagiotis A. Traganitis, Georgios B. Giannakis:
Identifying Spammers to Boost Crowdsourced Classification. ICASSP 2021: 2840-2844 - [c20]Panagiotis A. Traganitis, Georgios B. Giannakis:
Detecting adversaries in Crowdsourcing. ICDM 2021: 1373-1378 - [c19]Panagiotis A. Traganitis, Georgios B. Giannakis:
Bayesian Crowdsourcing with Constraints. ECML/PKDD (3) 2021: 543-559 - [c18]Panagiotis A. Traganitis, Georgios B. Giannakis:
Bayesian constrained decision fusion. SPAWC 2021: 166-170 - [i8]Panagiotis A. Traganitis, Georgios B. Giannakis:
Detecting adversaries in Crowdsourcing. CoRR abs/2110.04117 (2021) - 2020
- [c17]Panagiotis A. Traganitis, Georgios B. Giannakis:
Constrained Clustering using Gaussian Processes. EUSIPCO 2020: 1457-1461 - [c16]Panagiotis A. Traganitis, Dimitris Berberidis, Georgios B. Giannakis:
Active Learning with Unsupervised Ensembles of Classifiers. ICASSP 2020: 3967-3971 - [i7]Panagiotis A. Traganitis, Georgios B. Giannakis:
Bayesian Semi-supervised Crowdsourcing. CoRR abs/2012.11048 (2020)
2010 – 2019
- 2019
- [c15]Panagiotis A. Traganitis:
Blind Ensemble Classification of Sequential Data. DSW 2019: 130-134 - [i6]Panagiotis A. Traganitis, Georgios B. Giannakis:
Unsupervised Ensemble Classification with Dependent Data. CoRR abs/1906.09356 (2019) - 2018
- [j3]Panagiotis A. Traganitis, Georgios B. Giannakis:
Sketched Subspace Clustering. IEEE Trans. Signal Process. 66(7): 1663-1675 (2018) - [j2]Panagiotis A. Traganitis, Alba Pagès-Zamora, Georgios B. Giannakis:
Blind Multiclass Ensemble Classification. IEEE Trans. Signal Process. 66(18): 4737-4752 (2018) - [c14]Panagiotis A. Traganitis, Georgios B. Giannakis:
Blind Multi-class Ensemble Learning with Dependent Classifiers. EUSIPCO 2018: 2025-2029 - [c13]Vassilis N. Ioannidis, Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis:
Kernel-Based Semi-Supervised Learning Over Multilayer Graphs. SPAWC 2018: 1-5 - [i5]Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis:
Nonlinear Dimensionality Reduction on Graphs. CoRR abs/1801.09390 (2018) - 2017
- [c12]Yanning Shen, Panagiotis A. Traganitis, Georgios B. Giannakis:
Nonlinear dimensionality reduction on graphs. CAMSAP 2017: 1-5 - [c11]Panagiotis A. Traganitis, Georgios B. Giannakis:
Distributed sketched subspace clustering for large-scale datasets. CAMSAP 2017: 1-5 - [c10]Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis:
Network topology inference via elastic net structural equation models. EUSIPCO 2017: 146-150 - [c9]Panagiotis A. Traganitis, Alba Pagès-Zamora, Georgios B. Giannakis:
Learning from unequally reliable blind ensembles of classifiers. GlobalSIP 2017: 106-110 - [c8]Panagiotis A. Traganitis, Yanning Shen, Georgios B. Giannakis:
Topology inference of multilayer networks. INFOCOM Workshops 2017: 898-903 - [i4]Panagiotis A. Traganitis, Georgios B. Giannakis:
Sketched Subspace Clustering. CoRR abs/1707.07196 (2017) - [i3]Panagiotis A. Traganitis, Alba Pagès-Zamora, Georgios B. Giannakis:
Blind Multi-class Ensemble Learning with Unequally Reliable Classifiers. CoRR abs/1712.02903 (2017) - 2016
- [c7]Panagiotis A. Traganitis, Georgios B. Giannakis:
A randomized approach to large-scale subspace clustering. ACSSC 2016: 1019-1023 - [c6]Panagiotis A. Traganitis, Georgios B. Giannakis:
Efficient subspace clustering of large-scale data streams with misses. CISS 2016: 590-595 - [c5]Panagiotis A. Traganitis, Georgios B. Giannakis:
PARAFAC-based multilinear subspace clustering for tensor data. GlobalSIP 2016: 1280-1284 - 2015
- [j1]Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis:
Sketch and Validate for Big Data Clustering. IEEE J. Sel. Top. Signal Process. 9(4): 678-690 (2015) - [c4]Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis:
Large-scale subspace clustering using random sketching and validation. ACSSC 2015: 107-111 - [c3]Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis:
Spectral clustering of large-scale communities via random sketching and validation. CISS 2015: 1-6 - [i2]Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis:
Sketch and Validate for Big Data Clustering. CoRR abs/1501.05590 (2015) - [i1]Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis:
Large-scale subspace clustering using sketching and validation. CoRR abs/1510.01628 (2015) - 2014
- [c2]Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis:
Big data clustering via random sketching and validation. ACSSC 2014: 1046-1050 - [c1]Panagiotis A. Traganitis, Konstantinos Slavakis, Georgios B. Giannakis:
Clustering high-dimensional data via random sampling and consensus. GlobalSIP 2014: 307-311
Coauthor Index
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