Ioannis D. Schizas

Orcid: 0000-0002-1714-5578

Affiliations:
  • University of Texas at Arlington, TX, USA


According to our database1, Ioannis D. Schizas authored at least 67 papers between 2006 and 2023.

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

Timeline

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Bibliography

2023
Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks.
IET Commun., October, 2023

A statistical approach for neural network pruning with application to internet of things.
EURASIP J. Wirel. Commun. Netw., 2023

2022
Unsupervised Hyperspectral Unmixing via Nonlinear Autoencoders.
IEEE Trans. Geosci. Remote. Sens., 2022

Spatial-Aware Hyperspectral Nonlinear Unmixing Autoencoder With Endmember Number Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022

2021
Patch-based classification of gallbladder wall vascularity from laparoscopic images using deep learning.
Int. J. Comput. Assist. Radiol. Surg., 2021

2020
Online Data Dimensionality Reduction and Reconstruction Using Graph Filtering.
IEEE Trans. Signal Process., 2020

On unsupervised simultaneous kernel learning and data clustering.
Pattern Recognit., 2020

Unsupervised Mitral Valve Tracking for Disease Detection in Echocardiogram Videos.
J. Imaging, 2020

Assessment of Gallbladder Wall Vascularity from Laparoscopic Images using Deep Learning.
Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019
Unsupervised Kernelized Correlation-Based Hyperspectral Unmixing With Missing Pixels.
IEEE Trans. Geosci. Remote. Sens., 2019

Generative Networks for Synthesizing Human Videos in Text-Defined Outfits.
Proceedings of the 21st IEEE International Workshop on Multimedia Signal Processing, 2019

Graph Filtering For Data Reduction and Reconstruction.
Proceedings of the Data Compression Conference, 2019

2018
Distributed Noise-Resilient Networked Synchrony of Active Distribution Systems.
IEEE Trans. Smart Grid, 2018

Unsupervised Kernel Correlations Based Hyperspectral Clustering With Missing Pixels.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

MILP-Based Unsupervised Clustering.
IEEE Signal Process. Lett., 2018

Improved distributed particle filters for tracking in a wireless sensor network.
Comput. Stat. Data Anal., 2018

Unsupervised Hyperspectral Unmixing via Kernelized Correlations.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Unsupervised Kernel Learning for Correlation Based Clustering.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Distributed Power Profile Tracking for Heterogeneous Charging of Electric Vehicles.
IEEE Trans. Smart Grid, 2017

Optimization-Based AC Microgrid Synchronization.
IEEE Trans. Ind. Informatics, 2017

Data-driven sensors clustering and filtering for communication efficient field reconstruction.
Signal Process., 2017

Fault tolerant unsupervised kernel-based information clustering in hyperspectral images.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

360-degree video stitching for dual-fisheye lens cameras based on rigid moving least squares.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Distributed efficient multimodal data clustering.
Proceedings of the 25th European Signal Processing Conference, 2017

Multi-object detection and tracking via kernel covariance factorization in thermal video.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Online Distributed Sparsity-Aware Canonical Correlation Analysis.
IEEE Trans. Signal Process., 2016

Decentralized sparsity-based multi-source association and state tracking.
Signal Process., 2016

Distributed information-based clustering of heterogeneous sensor data.
Signal Process., 2016

Exploiting sensor mobility and covariance sparsity for distributed tracking of multiple sparse targets.
EURASIP J. Adv. Signal Process., 2016

Shot boundary detection in endoscopic surgery videos using a variational Bayesian framework.
Int. J. Comput. Assist. Radiol. Surg., 2016

Sparsity based multi-target tracking using mobile sensors.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Impact of charging interruptions in coordinated electric vehicle charging.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

A multilevel homotopy MCMC sequential Monte Carlo filter for multi-target tracking.
Proceedings of the 19th International Conference on Information Fusion, 2016

2015
A Distributed Framework for Dimensionality Reduction and Denoising.
IEEE Trans. Signal Process., 2015

Distributed spatio-temporal association and tracking of multiple targets using multiple sensors.
IEEE Trans. Aerosp. Electron. Syst., 2015

Decentralized learning for wireless communications and networking.
CoRR, 2015

Real-time subspace denoising of polysomnographic data.
Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015

Dynamic Data Driven Sensor Network Selection and Tracking.
Proceedings of the International Conference on Computational Science, 2015

Distributed spatio-temporal multi-target association and tracking.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Regularized canonical correlations for sensor data clustering.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A learning drift homotopy particle filter.
Proceedings of the 18th International Conference on Information Fusion, 2015

Information-based clustering and filtering for field reconstruction.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Joint sensors-sources association and tracking.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Joint sensors-sources association and tracking under a power constraint.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Drift homotopy particle filter for non-Gaussian multi-target tracking.
Proceedings of the 17th International Conference on Information Fusion, 2014

Adaptive regularized canonical correlations in clustering sensor data.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Distributed Informative-Sensor Identification via Sparsity-Aware Matrix Decomposition.
IEEE Trans. Signal Process., 2013

Adaptive distributed sparsity-aware matrix decomposition.
Proceedings of the IEEE International Conference on Acoustics, 2013

Distributed principal components analysis in sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2013

Distributed data cleansing via a low-rank decomposition.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Distributed sensor-informative tracking of targets.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

Distributed sparse canonical correlation analysis in clustering sensor data.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Covariance Eigenvector Sparsity for Compression and Denoising.
IEEE Trans. Signal Process., 2012

Distributed informative sensor determination via sparsity-cognizant matrix decomposition.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

2011
Eigenspace sparsity for compression and denoising.
Proceedings of the IEEE International Conference on Acoustics, 2011

2009
Power-efficient dimensionality reduction for distributed channel-aware kalman tracking using WSNs.
IEEE Trans. Signal Process., 2009

Distributed LMS for consensus-based in-network adaptive processing.
IEEE Trans. Signal Process., 2009

Distributed recursive least-squares for consensus-based in-network adaptive estimation.
IEEE Trans. Signal Process., 2009

Performance Analysis of the Consensus-Based Distributed LMS Algorithm.
EURASIP J. Adv. Signal Process., 2009

2008
Consensus in Ad Hoc WSNs With Noisy Links - Part I: Distributed Estimation of Deterministic Signals.
IEEE Trans. Signal Process., 2008

Consensus in Ad Hoc WSNs With Noisy Links - Part II: Distributed Estimation and Smoothing of Random Signals.
IEEE Trans. Signal Process., 2008

Distortion-Rate Bounds for Distributed Estimation Using Wireless Sensor Networks.
EURASIP J. Adv. Signal Process., 2008

Stability analysis of the consensus-based distributed LMS algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Distributed Estimation Using Reduced-Dimensionality Sensor Observations.
IEEE Trans. Signal Process., 2007

Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Optimal Dimensionality Reduction for Multi-Sensor Fusion in the Presence of Fading and Noise.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Distributed estimation with ad hoc wireless sensor networks.
Proceedings of the 14th European Signal Processing Conference, 2006


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