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ORCIDIoannis D. Schizas
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- affiliation: University of Texas at Arlington, TX, USA
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2020 – today
- 2025
[j34]Abrar Alam
, Akshay Malhotra, Ioannis D. Schizas:
Online kernel-based clustering. Pattern Recognit. 158: 111009 (2025)- 2024
- [i7]Wyatt Mackey, Ioannis D. Schizas, Jared Deighton, David L. Boothe, Vasileios Maroulas:
Geometric sparsification in recurrent neural networks. CoRR abs/2406.06290 (2024) - [i6]Jared Deighton, Wyatt Mackey, Ioannis D. Schizas, David L. Boothe, Vasileios Maroulas:
Higher-Order Spatial Information for Self-Supervised Place Cell Learning. CoRR abs/2407.06195 (2024) - [i5]Patrick Gillespie, Vasileios Maroulas, Ioannis D. Schizas:
Bayesian Sheaf Neural Networks. CoRR abs/2410.09590 (2024) - 2023
- [j33]Chengchen Mao, Qilian Liang, Chenyun Pan, Ioannis D. Schizas:
A statistical approach for neural network pruning with application to internet of things. EURASIP J. Wirel. Commun. Netw. 2023(1): 44 (2023) - [j32]Chengchen Mao, Zongwen Mu, Qilian Liang, Ioannis D. Schizas, Chenyun Pan:
Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks. IET Commun. 17(16): 1863-1876 (2023) - 2022
- [j31]Kazi Tanzeem Shahid, Ioannis D. Schizas:
Spatial-Aware Hyperspectral Nonlinear Unmixing Autoencoder With Endmember Number Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 20-41 (2022) - [j30]Kazi Tanzeem Shahid, Ioannis D. Schizas:
Unsupervised Hyperspectral Unmixing via Nonlinear Autoencoders. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - 2021
- [j29]Constantinos G. Loukas, Maximos Frountzas, Ioannis D. Schizas:
Patch-based classification of gallbladder wall vascularity from laparoscopic images using deep learning. Int. J. Comput. Assist. Radiol. Surg. 16(1): 103-113 (2021) - 2020
- [j28]Kazi Tanzeem Shahid, Ioannis D. Schizas:
Unsupervised Mitral Valve Tracking for Disease Detection in Echocardiogram Videos. J. Imaging 6(9): 93 (2020) - [j27]Akshay Malhotra, Ioannis D. Schizas:
On unsupervised simultaneous kernel learning and data clustering. Pattern Recognit. 108: 107518 (2020) - [j26]Ioannis D. Schizas:
Online Data Dimensionality Reduction and Reconstruction Using Graph Filtering. IEEE Trans. Signal Process. 68: 3871-3886 (2020) - [c33]Constantinos G. Loukas, Ioannis D. Schizas:
Assessment of Gallbladder Wall Vascularity from Laparoscopic Images using Deep Learning. BIOIMAGING 2020: 28-36
2010 – 2019
- 2019
- [j25]Kazi Tanzeem Shahid, Ioannis D. Schizas:
Unsupervised Kernelized Correlation-Based Hyperspectral Unmixing With Missing Pixels. IEEE Trans. Geosci. Remote. Sens. 57(7): 4509-4520 (2019) - [c32]Ioannis D. Schizas:
Graph Filtering For Data Reduction and Reconstruction. DCC 2019: 603 - [c31]Akshay Malhotra, Viswanathan Swaminathan, Gang Wu, Ioannis D. Schizas:
Generative Networks for Synthesizing Human Videos in Text-Defined Outfits. MMSP 2019: 1-6 - 2018
- [j24]Kai Kang, Vasileios Maroulas, Ioannis D. Schizas, Feng Bao:
Improved distributed particle filters for tracking in a wireless sensor network. Comput. Stat. Data Anal. 117: 90-108 (2018) - [j23]Akshay Malhotra, Ioannis D. Schizas:
MILP-Based Unsupervised Clustering. IEEE Signal Process. Lett. 25(12): 1825-1829 (2018) - [j22]Kazi Tanzeem Shahid, Akshay Malhotra, Ioannis D. Schizas, Saibun Tjuatja:
Unsupervised Kernel Correlations Based Hyperspectral Clustering With Missing Pixels. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(6): 1799-1810 (2018) - [j21]Shankar Abhinav, Ioannis D. Schizas, Frank L. Lewis, Ali Davoudi:
Distributed Noise-Resilient Networked Synchrony of Active Distribution Systems. IEEE Trans. Smart Grid 9(2): 836-846 (2018) - [c30]Akshay Malhotra, Kazi Tanzeem Shahid, Ioannis D. Schizas:
Unsupervised Kernel Learning for Correlation Based Clustering. ACSSC 2018: 2007-2011 - [c29]Kazi Tanzeem Shahid, Ioannis D. Schizas:
Unsupervised Hyperspectral Unmixing via Kernelized Correlations. IGARSS 2018: 6388-6391 - [i4]Ioannis D. Schizas:
Graph filtering for data reduction and reconstruction. CoRR abs/1809.09266 (2018) - 2017
- [j20]Jia Chen, Akshay Malhotra, Ioannis D. Schizas:
Data-driven sensors clustering and filtering for communication efficient field reconstruction. Signal Process. 133: 156-168 (2017) - [j19]Shankar Abhinav, Ioannis D. Schizas, Frank T. Ferrese, Ali Davoudi:
Optimization-Based AC Microgrid Synchronization. IEEE Trans. Ind. Informatics 13(5): 2339-2349 (2017) - [j18]Akshay Malhotra, Giulio Binetti, Ali Davoudi, Ioannis D. Schizas:
Distributed Power Profile Tracking for Heterogeneous Charging of Electric Vehicles. IEEE Trans. Smart Grid 8(5): 2090-2099 (2017) - [c28]Guohua Ren, Ioannis D. Schizas:
Multi-object detection and tracking via kernel covariance factorization in thermal video. ACSSC 2017: 2033-2037 - [c27]Jia Chen, Ioannis D. Schizas:
Distributed efficient multimodal data clustering. EUSIPCO 2017: 2304-2308 - [c26]Tuan Ho, Ioannis D. Schizas, K. R. Rao, Madhukar Budagavi:
360-degree video stitching for dual-fisheye lens cameras based on rigid moving least squares. ICIP 2017: 51-55 - [c25]Akshay Malhotra, Kazi Tanzeem Shahid, Ioannis D. Schizas, Saibun Tjuatja:
Fault tolerant unsupervised kernel-based information clustering in hyperspectral images. IGARSS 2017: 2191-2194 - [i3]Tuan Ho, Ioannis D. Schizas, K. R. Rao, Madhukar Budagavi:
360-degree Video Stitching for Dual-fisheye Lens Cameras Based On Rigid Moving Least Squares. CoRR abs/1708.05922 (2017) - 2016
- [j17]Constantinos G. Loukas, Nikolaos Nikiteas, Ioannis D. Schizas, Evangelos Georgiou:
Shot boundary detection in endoscopic surgery videos using a variational Bayesian framework. Int. J. Comput. Assist. Radiol. Surg. 11(11): 1937-1949 (2016) - [j16]Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas:
Exploiting sensor mobility and covariance sparsity for distributed tracking of multiple sparse targets. EURASIP J. Adv. Signal Process. 2016: 53 (2016) - [j15]Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas:
Decentralized sparsity-based multi-source association and state tracking. Signal Process. 120: 627-643 (2016) - [j14]Jia Chen, Ioannis D. Schizas:
Distributed information-based clustering of heterogeneous sensor data. Signal Process. 126: 35-51 (2016) - [j13]Jia Chen, Ioannis D. Schizas:
Online Distributed Sparsity-Aware Canonical Correlation Analysis. IEEE Trans. Signal Process. 64(3): 688-703 (2016) - [c24]Kai Kang, Vasileios Maroulas, Ioannis D. Schizas, Erik Blasch:
A multilevel homotopy MCMC sequential Monte Carlo filter for multi-target tracking. FUSION 2016: 2015-2021 - [c23]Akshay Malhotra, Nuh Erdogan, Giulio Binetti, Ioannis D. Schizas, Ali Davoudi:
Impact of charging interruptions in coordinated electric vehicle charging. GlobalSIP 2016: 901-905 - [c22]Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas:
Sparsity based multi-target tracking using mobile sensors. ICASSP 2016: 4578-4582 - 2015
- [j12]Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas:
Distributed spatio-temporal association and tracking of multiple targets using multiple sensors. IEEE Trans. Aerosp. Electron. Syst. 51(4): 2570-2589 (2015) - [j11]Ioannis D. Schizas, Abiodun Aduroja:
A Distributed Framework for Dimensionality Reduction and Denoising. IEEE Trans. Signal Process. 63(23): 6379-6394 (2015) - [c21]Jia Chen, Akshay Malhotra, Ioannis D. Schizas:
Information-based clustering and filtering for field reconstruction. ACSSC 2015: 576-580 - [c20]Vasileios Maroulas, Kai Kang, Ioannis D. Schizas, Michael W. Berry:
A learning drift homotopy particle filter. FUSION 2015: 1930-1937 - [c19]Jia Chen, Ioannis D. Schizas:
Regularized canonical correlations for sensor data clustering. ICASSP 2015: 3601-3605 - [c18]Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas:
Distributed spatio-temporal multi-target association and tracking. ICASSP 2015: 4010-4014 - [c17]Ioannis D. Schizas, Vasileios Maroulas:
Dynamic Data Driven Sensor Network Selection and Tracking. ICCS 2015: 2583-2592 - [c16]Vangelis Metsis, Ioannis D. Schizas, Gregg Marshall:
Real-time subspace denoising of polysomnographic data. PETRA 2015: 77:1-77:4 - [i2]Georgios B. Giannakis, Qing Ling, Gonzalo Mateos, Ioannis D. Schizas, Hao Zhu:
Decentralized learning for wireless communications and networking. CoRR abs/1503.08855 (2015) - 2014
- [c15]Jia Chen, Ioannis D. Schizas:
Adaptive regularized canonical correlations in clustering sensor data. ACSSC 2014: 1611-1615 - [c14]Kai Kang, Vasileios Maroulas, Ioannis D. Schizas:
Drift homotopy particle filter for non-Gaussian multi-target tracking. FUSION 2014: 1-7 - [c13]Guohua Ren, Ioannis D. Schizas:
Joint sensors-sources association and tracking under a power constraint. GlobalSIP 2014: 754-758 - [c12]Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas:
Joint sensors-sources association and tracking. SAM 2014: 205-208 - 2013
- [j10]Ioannis D. Schizas:
Distributed Informative-Sensor Identification via Sparsity-Aware Matrix Decomposition. IEEE Trans. Signal Process. 61(18): 4610-4624 (2013) - [c11]Jia Chen, Ioannis D. Schizas:
Distributed sparse canonical correlation analysis in clustering sensor data. ACSSC 2013: 639-643 - [c10]Guohua Ren, Ioannis D. Schizas:
Distributed sensor-informative tracking of targets. CAMSAP 2013: 81-84 - [c9]Ioannis D. Schizas:
Distributed data cleansing via a low-rank decomposition. GlobalSIP 2013: 827-830 - [c8]Ioannis D. Schizas:
Adaptive distributed sparsity-aware matrix decomposition. ICASSP 2013: 4509-4513 - [c7]Abiodun Aduroja, Ioannis D. Schizas, Vasileios Maroulas:
Distributed principal components analysis in sensor networks. ICASSP 2013: 5850-5854 - 2012
- [j9]Ioannis D. Schizas, Georgios B. Giannakis:
Covariance Eigenvector Sparsity for Compression and Denoising. IEEE Trans. Signal Process. 60(5): 2408-2421 (2012) - [c6]Ioannis D. Schizas:
Distributed informative sensor determination via sparsity-cognizant matrix decomposition. SSP 2012: 41-44 - [i1]Ioannis D. Schizas, Georgios B. Giannakis:
Covariance Eigenvector Sparsity for Compression and Denoising. CoRR abs/1201.3599 (2012) - 2011
- [c5]Ioannis D. Schizas, Georgios B. Giannakis:
Eigenspace sparsity for compression and denoising. ICASSP 2011: 2912-2915
2000 – 2009
- 2009
- [j8]Gonzalo Mateos, Ioannis D. Schizas, Georgios B. Giannakis:
Performance Analysis of the Consensus-Based Distributed LMS Algorithm. EURASIP J. Adv. Signal Process. 2009 (2009) - [j7]Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis:
Distributed LMS for consensus-based in-network adaptive processing. IEEE Trans. Signal Process. 57(6): 2365-2382 (2009) - [j6]Hao Zhu, Ioannis D. Schizas, Georgios B. Giannakis:
Power-efficient dimensionality reduction for distributed channel-aware kalman tracking using WSNs. IEEE Trans. Signal Process. 57(8): 3193-3207 (2009) - [j5]Gonzalo Mateos, Ioannis D. Schizas, Georgios B. Giannakis:
Distributed recursive least-squares for consensus-based in-network adaptive estimation. IEEE Trans. Signal Process. 57(11): 4583-4588 (2009) - 2008
- [j4]Ioannis D. Schizas, Georgios B. Giannakis, Nihar Jindal:
Distortion-Rate Bounds for Distributed Estimation Using Wireless Sensor Networks. EURASIP J. Adv. Signal Process. 2008 (2008) - [j3]Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis:
Consensus in Ad Hoc WSNs With Noisy Links - Part I: Distributed Estimation of Deterministic Signals. IEEE Trans. Signal Process. 56(1): 350-364 (2008) - [j2]Ioannis D. Schizas, Georgios B. Giannakis, Stergios I. Roumeliotis, Alejandro Ribeiro:
Consensus in Ad Hoc WSNs With Noisy Links - Part II: Distributed Estimation and Smoothing of Random Signals. IEEE Trans. Signal Process. 56(4): 1650-1666 (2008) - [c4]Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis:
Stability analysis of the consensus-based distributed LMS algorithm. ICASSP 2008: 3289-3292 - 2007
- [j1]Ioannis D. Schizas, Georgios B. Giannakis, Zhi-Quan Luo:
Distributed Estimation Using Reduced-Dimensionality Sensor Observations. IEEE Trans. Signal Process. 55(8): 4284-4299 (2007) - [c3]Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis:
Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links. ICASSP (2) 2007: 849-852 - 2006
- [c2]Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis:
Distributed estimation with ad hoc wireless sensor networks. EUSIPCO 2006: 1-5 - [c1]Ioannis D. Schizas, Georgios B. Giannakis, Zhi-Quan Luo:
Optimal Dimensionality Reduction for Multi-Sensor Fusion in the Presence of Fading and Noise. ICASSP (4) 2006: 869-872
Coauthor Index
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