Distributed estimation with ad hoc wireless sensor networks. - Ioannis D. Schizas; Alejandro Ribeiro; Georgios B. Giannakis (EUSIPCO, 2006)

Optimal Dimensionality Reduction for Multi-Sensor Fusion in the Presence of Fading and Noise. - Ioannis D. Schizas; Georgios B. Giannakis; Zhi-Quan Luo (ICASSP (4), 2006)

Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links. - Ioannis D. Schizas; Alejandro Ribeiro; Georgios B. Giannakis (ICASSP (2), 2007)

Distributed Estimation Using Reduced-Dimensionality Sensor Observations. - Ioannis D. Schizas; Georgios B. Giannakis; Zhi-Quan Luo (IEEE Trans. Signal Process., 2007)

Stability analysis of the consensus-based distributed LMS algorithm. - Ioannis D. Schizas; Gonzalo Mateos; Georgios B. Giannakis (ICASSP, 2008)

Distortion-Rate Bounds for Distributed Estimation Using Wireless Sensor Networks. - Ioannis D. Schizas; Georgios B. Giannakis; Nihar Jindal (EURASIP J. Adv. Signal Process., 2008)

Consensus in Ad Hoc WSNs With Noisy Links - Part II: Distributed Estimation and Smoothing of Random Signals. - Ioannis D. Schizas; Georgios B. Giannakis; Stergios I. Roumeliotis; Alejandro Ribeiro (IEEE Trans. Signal Process., 2008)

Consensus in Ad Hoc WSNs With Noisy Links - Part I: Distributed Estimation of Deterministic Signals. - Ioannis D. Schizas; Alejandro Ribeiro; Georgios B. Giannakis (IEEE Trans. Signal Process., 2008)

Performance Analysis of the Consensus-Based Distributed LMS Algorithm. - Gonzalo Mateos; Ioannis D. Schizas; Georgios B. Giannakis (EURASIP J. Adv. Signal Process., 2009)

Distributed recursive least-squares for consensus-based in-network adaptive estimation. - Gonzalo Mateos; Ioannis D. Schizas; Georgios B. Giannakis (IEEE Trans. Signal Process., 2009)

Distributed LMS for consensus-based in-network adaptive processing. - Ioannis D. Schizas; Gonzalo Mateos; Georgios B. Giannakis (IEEE Trans. Signal Process., 2009)

Power-efficient dimensionality reduction for distributed channel-aware kalman tracking using WSNs. - Hao Zhu 001; Ioannis D. Schizas; Georgios B. Giannakis (IEEE Trans. Signal Process., 2009)

Eigenspace sparsity for compression and denoising. - Ioannis D. Schizas; Georgios B. Giannakis (ICASSP, 2011)

Distributed informative sensor determination via sparsity-cognizant matrix decomposition. - Ioannis D. Schizas (SSP, 2012)

Covariance Eigenvector Sparsity for Compression and Denoising. - Ioannis D. Schizas; Georgios B. Giannakis (IEEE Trans. Signal Process., 2012)

Distributed sparse canonical correlation analysis in clustering sensor data. - Jia Chen 002; Ioannis D. Schizas (ACSSC, 2013)

Distributed sensor-informative tracking of targets. - Guohua Ren; Ioannis D. Schizas (CAMSAP, 2013)

Distributed data cleansing via a low-rank decomposition. - Ioannis D. Schizas (GlobalSIP, 2013)

Distributed principal components analysis in sensor networks. - Abiodun Aduroja; Ioannis D. Schizas; Vasileios Maroulas (ICASSP, 2013)

Adaptive distributed sparsity-aware matrix decomposition. - Ioannis D. Schizas (ICASSP, 2013)

Distributed Informative-Sensor Identification via Sparsity-Aware Matrix Decomposition. - Ioannis D. Schizas (IEEE Trans. Signal Process., 2013)

Adaptive regularized canonical correlations in clustering sensor data. - Jia Chen 002; Ioannis D. Schizas (ACSSC, 2014)

Drift homotopy particle filter for non-Gaussian multi-target tracking. - Kai Kang; Vasileios Maroulas; Ioannis D. Schizas (FUSION, 2014)

Joint sensors-sources association and tracking under a power constraint. - Guohua Ren; Ioannis D. Schizas (GlobalSIP, 2014)

Joint sensors-sources association and tracking. - Guohua Ren; Ioannis D. Schizas; Vasileios Maroulas (SAM, 2014)

Information-based clustering and filtering for field reconstruction. - Jia Chen 002; Akshay Malhotra; Ioannis D. Schizas (ACSSC, 2015)

A learning drift homotopy particle filter. - Vasileios Maroulas; Kai Kang; Ioannis D. Schizas; Michael W. Berry (FUSION, 2015)

Regularized canonical correlations for sensor data clustering. - Jia Chen 002; Ioannis D. Schizas (ICASSP, 2015)

Distributed spatio-temporal multi-target association and tracking. - Guohua Ren; Ioannis D. Schizas; Vasileios Maroulas (ICASSP, 2015)

Dynamic Data Driven Sensor Network Selection and Tracking. - Ioannis D. Schizas; Vasileios Maroulas (ICCS, 2015)

Real-time subspace denoising of polysomnographic data. - Vangelis Metsis; Ioannis D. Schizas; Gregg Marshall (PETRA, 2015)

Decentralized learning for wireless communications and networking. - Georgios B. Giannakis; Qing Ling 001; Gonzalo Mateos; Ioannis D. Schizas; Hao Zhu 001 (CoRR, 2015)

Distributed spatio-temporal association and tracking of multiple targets using multiple sensors. - Guohua Ren; Vasileios Maroulas; Ioannis D. Schizas (IEEE Trans. Aerosp. Electron. Syst., 2015)

A Distributed Framework for Dimensionality Reduction and Denoising. - Ioannis D. Schizas; Abiodun Aduroja (IEEE Trans. Signal Process., 2015)

A multilevel homotopy MCMC sequential Monte Carlo filter for multi-target tracking. - Kai Kang; Vasileios Maroulas; Ioannis D. Schizas; Erik Blasch (FUSION, 2016)

Impact of charging interruptions in coordinated electric vehicle charging. - Akshay Malhotra; Nuh Erdogan; Giulio Binetti; Ioannis D. Schizas; Ali Davoudi (GlobalSIP, 2016)

Sparsity based multi-target tracking using mobile sensors. - Guohua Ren; Ioannis D. Schizas; Vasileios Maroulas (ICASSP, 2016)

Shot boundary detection in endoscopic surgery videos using a variational Bayesian framework. - Constantinos G. Loukas; Nikolaos Nikiteas; Ioannis D. Schizas; Evangelos Georgiou (Int. J. Comput. Assist. Radiol. Surg., 2016)

Exploiting sensor mobility and covariance sparsity for distributed tracking of multiple sparse targets. - Guohua Ren; Vasileios Maroulas; Ioannis D. Schizas (EURASIP J. Adv. Signal Process., 2016)

Distributed information-based clustering of heterogeneous sensor data. - Jia Chen 002; Ioannis D. Schizas (Signal Process., 2016)

Decentralized sparsity-based multi-source association and state tracking. - Guohua Ren; Vasileios Maroulas; Ioannis D. Schizas (Signal Process., 2016)

Online Distributed Sparsity-Aware Canonical Correlation Analysis. - Jia Chen 002; Ioannis D. Schizas (IEEE Trans. Signal Process., 2016)

Multi-object detection and tracking via kernel covariance factorization in thermal video. - Guohua Ren; Ioannis D. Schizas (ACSSC, 2017)

Distributed efficient multimodal data clustering. - Jia Chen 002; Ioannis D. Schizas (EUSIPCO, 2017)

360-degree video stitching for dual-fisheye lens cameras based on rigid moving least squares. - Tuan Ho; Ioannis D. Schizas; K. R. Rao 001; Madhukar Budagavi (ICIP, 2017)

Fault tolerant unsupervised kernel-based information clustering in hyperspectral images. - Akshay Malhotra; Kazi Tanzeem Shahid; Ioannis D. Schizas; Saibun Tjuatja (IGARSS, 2017)

Data-driven sensors clustering and filtering for communication efficient field reconstruction. - Jia Chen 002; Akshay Malhotra; Ioannis D. Schizas (Signal Process., 2017)

Optimization-Based AC Microgrid Synchronization. - Shankar Abhinav; Ioannis D. Schizas; Frank T. Ferrese; Ali Davoudi (IEEE Trans. Ind. Informatics, 2017)

Distributed Power Profile Tracking for Heterogeneous Charging of Electric Vehicles. - Akshay Malhotra; Giulio Binetti; Ali Davoudi; Ioannis D. Schizas (IEEE Trans. Smart Grid, 2017)

Unsupervised Kernel Learning for Correlation Based Clustering. - Akshay Malhotra; Kazi Tanzeem Shahid; Ioannis D. Schizas (ACSSC, 2018)

Unsupervised Hyperspectral Unmixing via Kernelized Correlations. - Kazi Tanzeem Shahid; Ioannis D. Schizas (IGARSS, 2018)

Improved distributed particle filters for tracking in a wireless sensor network. - Kai Kang; Vasileios Maroulas; Ioannis D. Schizas; Feng Bao (Comput. Stat. Data Anal., 2018)

MILP-Based Unsupervised Clustering. - Akshay Malhotra; Ioannis D. Schizas (IEEE Signal Process. Lett., 2018)

Unsupervised Kernel Correlations Based Hyperspectral Clustering With Missing Pixels. - Kazi Tanzeem Shahid; Akshay Malhotra; Ioannis D. Schizas; Saibun Tjuatja (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018)

Distributed Noise-Resilient Networked Synchrony of Active Distribution Systems. - Shankar Abhinav; Ioannis D. Schizas; Frank L. Lewis; Ali Davoudi (IEEE Trans. Smart Grid, 2018)

Graph Filtering For Data Reduction and Reconstruction. - Ioannis D. Schizas (DCC, 2019)

Generative Networks for Synthesizing Human Videos in Text-Defined Outfits. - Akshay Malhotra; Viswanathan Swaminathan 001; Gang Wu 013; Ioannis D. Schizas (MMSP, 2019)

Unsupervised Kernelized Correlation-Based Hyperspectral Unmixing With Missing Pixels. - Kazi Tanzeem Shahid; Ioannis D. Schizas (IEEE Trans. Geosci. Remote. Sens., 2019)

Assessment of Gallbladder Wall Vascularity from Laparoscopic Images using Deep Learning. - Constantinos G. Loukas; Ioannis D. Schizas (BIOIMAGING, 2020)

Unsupervised Mitral Valve Tracking for Disease Detection in Echocardiogram Videos. - Kazi Tanzeem Shahid; Ioannis D. Schizas (J. Imaging, 2020)

On unsupervised simultaneous kernel learning and data clustering. - Akshay Malhotra; Ioannis D. Schizas (Pattern Recognit., 2020)

Online Data Dimensionality Reduction and Reconstruction Using Graph Filtering. - Ioannis D. Schizas (IEEE Trans. Signal Process., 2020)

Patch-based classification of gallbladder wall vascularity from laparoscopic images using deep learning. - Constantinos G. Loukas; Maximos Frountzas; Ioannis D. Schizas (Int. J. Comput. Assist. Radiol. Surg., 2021)

Spatial-Aware Hyperspectral Nonlinear Unmixing Autoencoder With Endmember Number Estimation. - Kazi Tanzeem Shahid; Ioannis D. Schizas (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Unsupervised Hyperspectral Unmixing via Nonlinear Autoencoders. - Kazi Tanzeem Shahid; Ioannis D. Schizas (IEEE Trans. Geosci. Remote. Sens., 2022)

A statistical approach for neural network pruning with application to internet of things. - Chengchen Mao; Qilian Liang; Chenyun Pan; Ioannis D. Schizas (EURASIP J. Wirel. Commun. Netw., 2023)

Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks. - Chengchen Mao; Zongwen Mu; Qilian Liang; Ioannis D. Schizas; Chenyun Pan (IET Commun., 2023)

Deep Linearization Mappings for Canonical Correlation Clustering. - Akshay Malhotra; Ioannis D. Schizas; João Morais (IEEECONF, 2024)

Geometric sparsification in recurrent neural networks. - Wyatt Mackey; Ioannis D. Schizas; Jared Deighton; David L. Boothe; Vasileios Maroulas (CoRR, 2024)

Higher-Order Spatial Information for Self-Supervised Place Cell Learning. - Jared Deighton; Wyatt Mackey; Ioannis D. Schizas; David L. Boothe; Vasileios Maroulas (CoRR, 2024)

Bayesian Sheaf Neural Networks. - Patrick Gillespie; Vasileios Maroulas; Ioannis D. Schizas (CoRR, 2024)

Online kernel-based clustering. - Abrar Alam; Akshay Malhotra; Ioannis D. Schizas (Pattern Recognit., 2025)