Ioannis D. Schizas

78 papers B 2C 6Misc 13Journal 44Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Classical to Topological Neural Networks Under Uncertainty.
CoRR
Sarah Harkins Dayton, Layal Bou Hamdan, Ioannis D. Schizas, David L. Boothe, Vasileios Maroulas
2025 J jnl
Bayesian Topological Convolutional Neural Nets.
CoRR
Sarah Harkins Dayton, Hayden Everett, Ioannis D. Schizas, David L. Boothe, Vasileios Maroulas
2025 J jnl
Online kernel-based clustering.
Pattern Recognit.
Abrar Alam, Akshay Malhotra, Ioannis D. Schizas
2024 J jnl
Bayesian Sheaf Neural Networks.
CoRR
Patrick Gillespie, Vasileios Maroulas, Ioannis D. Schizas
2024 — conf
Deep Linearization Mappings for Canonical Correlation Clustering.
IEEECONF
Akshay Malhotra, Ioannis D. Schizas, João Morais
2024 J jnl
Distributed Kernel-Driven Data Clustering.
J. Mach. Learn. Res.
Ioannis D. Schizas
2024 J jnl
Geometric sparsification in recurrent neural networks.
CoRR
Wyatt Mackey, Ioannis D. Schizas, Jared Deighton, David L. Boothe, Vasileios Maroulas
2024 J jnl
Higher-Order Spatial Information for Self-Supervised Place Cell Learning.
CoRR
Jared Deighton, Wyatt Mackey, Ioannis D. Schizas, David L. Boothe, Vasileios Maroulas
2023 J jnl
A statistical approach for neural network pruning with application to internet of things.
EURASIP J. Wirel. Commun. Netw.
Chengchen Mao, Qilian Liang, Chenyun Pan, Ioannis D. Schizas
2023 J jnl
Deep learning in physical layer communications: Evolution and prospects in 5G and 6G networks.
IET Commun.
Chengchen Mao, Zongwen Mu, Qilian Liang, Ioannis D. Schizas, Chenyun Pan
2022 J jnl
Spatial-Aware Hyperspectral Nonlinear Unmixing Autoencoder With Endmember Number Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Kazi Tanzeem Shahid, Ioannis D. Schizas
2022 J jnl
Unsupervised Hyperspectral Unmixing via Nonlinear Autoencoders.
IEEE Trans. Geosci. Remote. Sens.
Kazi Tanzeem Shahid, Ioannis D. Schizas
2021 J jnl
Patch-based classification of gallbladder wall vascularity from laparoscopic images using deep learning.
Int. J. Comput. Assist. Radiol. Surg.
Constantinos G. Loukas, Maximos Frountzas, Ioannis D. Schizas
2020 — conf
Assessment of Gallbladder Wall Vascularity from Laparoscopic Images using Deep Learning.
BIOIMAGING
Constantinos G. Loukas, Ioannis D. Schizas
2020 J jnl
On unsupervised simultaneous kernel learning and data clustering.
Pattern Recognit.
Akshay Malhotra, Ioannis D. Schizas
2020 J jnl
Online Data Dimensionality Reduction and Reconstruction Using Graph Filtering.
IEEE Trans. Signal Process.
Ioannis D. Schizas
2020 J jnl
Unsupervised Mitral Valve Tracking for Disease Detection in Echocardiogram Videos.
J. Imaging
Kazi Tanzeem Shahid, Ioannis D. Schizas
2019 C conf
Generative Networks for Synthesizing Human Videos in Text-Defined Outfits.
MMSP
Akshay Malhotra, Viswanathan Swaminathan, Gang Wu, Ioannis D. Schizas
2019 B conf
Graph Filtering For Data Reduction and Reconstruction.
DCC
Ioannis D. Schizas
2019 J jnl
Unsupervised Kernelized Correlation-Based Hyperspectral Unmixing With Missing Pixels.
IEEE Trans. Geosci. Remote. Sens.
Kazi Tanzeem Shahid, Ioannis D. Schizas
2018 J jnl
Distributed Noise-Resilient Networked Synchrony of Active Distribution Systems.
IEEE Trans. Smart Grid
Shankar Abhinav, Ioannis D. Schizas, Frank L. Lewis, Ali Davoudi
2018 J jnl
Graph filtering for data reduction and reconstruction.
CoRR
Ioannis D. Schizas
2018 J jnl
Improved distributed particle filters for tracking in a wireless sensor network.
Comput. Stat. Data Anal.
Kai Kang, Vasileios Maroulas, Ioannis D. Schizas, Feng Bao
2018 J jnl
MILP-Based Unsupervised Clustering.
IEEE Signal Process. Lett.
Akshay Malhotra, Ioannis D. Schizas
2018 C conf
Unsupervised Hyperspectral Unmixing via Kernelized Correlations.
IGARSS
Kazi Tanzeem Shahid, Ioannis D. Schizas
2018 J jnl
Unsupervised Kernel Correlations Based Hyperspectral Clustering With Missing Pixels.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Kazi Tanzeem Shahid, Akshay Malhotra, Ioannis D. Schizas, Saibun Tjuatja
2018 Misc conf
Unsupervised Kernel Learning for Correlation Based Clustering.
ACSSC
Akshay Malhotra, Kazi Tanzeem Shahid, Ioannis D. Schizas
2017 J jnl
360-degree Video Stitching for Dual-fisheye Lens Cameras Based On Rigid Moving Least Squares.
CoRR
Tuan Ho, Ioannis D. Schizas, K. R. Rao, Madhukar Budagavi
2017 B conf
360-degree video stitching for dual-fisheye lens cameras based on rigid moving least squares.
ICIP
Tuan Ho, Ioannis D. Schizas, K. R. Rao, Madhukar Budagavi
2017 J jnl
Data-driven sensors clustering and filtering for communication efficient field reconstruction.
Signal Process.
Jia Chen, Akshay Malhotra, Ioannis D. Schizas
2017 J jnl
Distributed Power Profile Tracking for Heterogeneous Charging of Electric Vehicles.
IEEE Trans. Smart Grid
Akshay Malhotra, Giulio Binetti, Ali Davoudi, Ioannis D. Schizas
2017 — conf
Distributed efficient multimodal data clustering.
EUSIPCO
Jia Chen, Ioannis D. Schizas
2017 C conf
Fault tolerant unsupervised kernel-based information clustering in hyperspectral images.
IGARSS
Akshay Malhotra, Kazi Tanzeem Shahid, Ioannis D. Schizas, Saibun Tjuatja
2017 Misc conf
Multi-object detection and tracking via kernel covariance factorization in thermal video.
ACSSC
Guohua Ren, Ioannis D. Schizas
2017 J jnl
Optimization-Based AC Microgrid Synchronization.
IEEE Trans. Ind. Informatics
Shankar Abhinav, Ioannis D. Schizas, Frank T. Ferrese, Ali Davoudi
2016 C conf
A multilevel homotopy MCMC sequential Monte Carlo filter for multi-target tracking.
FUSION
Kai Kang, Vasileios Maroulas, Ioannis D. Schizas, Erik Blasch
2016 J jnl
Decentralized sparsity-based multi-source association and state tracking.
Signal Process.
Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas
2016 J jnl
Distributed information-based clustering of heterogeneous sensor data.
Signal Process.
Jia Chen, Ioannis D. Schizas
2016 J jnl
Exploiting sensor mobility and covariance sparsity for distributed tracking of multiple sparse targets.
EURASIP J. Adv. Signal Process.
Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas
2016 — conf
Impact of charging interruptions in coordinated electric vehicle charging.
GlobalSIP
Akshay Malhotra, Nuh Erdogan, Giulio Binetti, Ioannis D. Schizas, Ali Davoudi
2016 J jnl
Online Distributed Sparsity-Aware Canonical Correlation Analysis.
IEEE Trans. Signal Process.
Jia Chen, Ioannis D. Schizas
2016 J jnl
Shot boundary detection in endoscopic surgery videos using a variational Bayesian framework.
Int. J. Comput. Assist. Radiol. Surg.
Constantinos G. Loukas, Nikolaos Nikiteas, Ioannis D. Schizas, Evangelos Georgiou
2016 Misc conf
Sparsity based multi-target tracking using mobile sensors.
ICASSP
Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas
2015 J jnl
A Distributed Framework for Dimensionality Reduction and Denoising.
IEEE Trans. Signal Process.
Ioannis D. Schizas, Abiodun Aduroja
2015 C conf
A learning drift homotopy particle filter.
FUSION
Vasileios Maroulas, Kai Kang, Ioannis D. Schizas, Michael W. Berry
2015 J jnl
Decentralized learning for wireless communications and networking.
CoRR
Georgios B. Giannakis, Qing Ling, Gonzalo Mateos, Ioannis D. Schizas, Hao Zhu
2015 J jnl
Distributed spatio-temporal association and tracking of multiple targets using multiple sensors.
IEEE Trans. Aerosp. Electron. Syst.
Guohua Ren, Vasileios Maroulas, Ioannis D. Schizas
2015 Misc conf
Distributed spatio-temporal multi-target association and tracking.
ICASSP
Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas
2015 Misc conf
Dynamic Data Driven Sensor Network Selection and Tracking.
ICCS
Ioannis D. Schizas, Vasileios Maroulas
2015 Misc conf
Information-based clustering and filtering for field reconstruction.
ACSSC
Jia Chen, Akshay Malhotra, Ioannis D. Schizas
2015 — conf
Real-time subspace denoising of polysomnographic data.
PETRA
Vangelis Metsis, Ioannis D. Schizas, Gregg Marshall
2015 Misc conf
Regularized canonical correlations for sensor data clustering.
ICASSP
Jia Chen, Ioannis D. Schizas
2014 Misc conf
Adaptive regularized canonical correlations in clustering sensor data.
ACSSC
Jia Chen, Ioannis D. Schizas
2014 C conf
Drift homotopy particle filter for non-Gaussian multi-target tracking.
FUSION
Kai Kang, Vasileios Maroulas, Ioannis D. Schizas
2014 — conf
Joint sensors-sources association and tracking under a power constraint.
GlobalSIP
Guohua Ren, Ioannis D. Schizas
2014 — conf
Joint sensors-sources association and tracking.
SAM
Guohua Ren, Ioannis D. Schizas, Vasileios Maroulas
2013 Misc conf
Adaptive distributed sparsity-aware matrix decomposition.
ICASSP
Ioannis D. Schizas
2013 J jnl
Distributed Informative-Sensor Identification via Sparsity-Aware Matrix Decomposition.
IEEE Trans. Signal Process.
Ioannis D. Schizas
2013 — conf
Distributed data cleansing via a low-rank decomposition.
GlobalSIP
Ioannis D. Schizas
2013 Misc conf
Distributed principal components analysis in sensor networks.
ICASSP
Abiodun Aduroja, Ioannis D. Schizas, Vasileios Maroulas
2013 — conf
Distributed sensor-informative tracking of targets.
CAMSAP
Guohua Ren, Ioannis D. Schizas
2013 Misc conf
Distributed sparse canonical correlation analysis in clustering sensor data.
ACSSC
Jia Chen, Ioannis D. Schizas
2012 J jnl
Covariance Eigenvector Sparsity for Compression and Denoising
CoRR
Ioannis D. Schizas, Georgios B. Giannakis
2012 J jnl
Covariance Eigenvector Sparsity for Compression and Denoising.
IEEE Trans. Signal Process.
Ioannis D. Schizas, Georgios B. Giannakis
2012 — conf
Distributed informative sensor determination via sparsity-cognizant matrix decomposition.
SSP
Ioannis D. Schizas
2011 Misc conf
Eigenspace sparsity for compression and denoising.
ICASSP
Ioannis D. Schizas, Georgios B. Giannakis
2009 J jnl
Distributed LMS for consensus-based in-network adaptive processing.
IEEE Trans. Signal Process.
Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis
2009 J jnl
Distributed recursive least-squares for consensus-based in-network adaptive estimation.
IEEE Trans. Signal Process.
Gonzalo Mateos, Ioannis D. Schizas, Georgios B. Giannakis
2009 J jnl
Performance Analysis of the Consensus-Based Distributed LMS Algorithm.
EURASIP J. Adv. Signal Process.
Gonzalo Mateos, Ioannis D. Schizas, Georgios B. Giannakis
2009 J jnl
Power-efficient dimensionality reduction for distributed channel-aware kalman tracking using WSNs.
IEEE Trans. Signal Process.
Hao Zhu, Ioannis D. Schizas, Georgios B. Giannakis
2008 J jnl
Consensus in Ad Hoc WSNs With Noisy Links - Part I: Distributed Estimation of Deterministic Signals.
IEEE Trans. Signal Process.
Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis
2008 J jnl
Consensus in Ad Hoc WSNs With Noisy Links - Part II: Distributed Estimation and Smoothing of Random Signals.
IEEE Trans. Signal Process.
Ioannis D. Schizas, Georgios B. Giannakis, Stergios I. Roumeliotis, Alejandro Ribeiro
2008 J jnl
Distortion-Rate Bounds for Distributed Estimation Using Wireless Sensor Networks.
EURASIP J. Adv. Signal Process.
Ioannis D. Schizas, Georgios B. Giannakis, Nihar Jindal
2008 Misc conf
Stability analysis of the consensus-based distributed LMS algorithm.
ICASSP
Ioannis D. Schizas, Gonzalo Mateos, Georgios B. Giannakis
2007 — conf
Consensus-Based Distributed Parameter Estimation in Ad Hoc Wireless Sensor Networks with Noisy Links.
ICASSP (2)
Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis
2007 J jnl
Distributed Estimation Using Reduced-Dimensionality Sensor Observations.
IEEE Trans. Signal Process.
Ioannis D. Schizas, Georgios B. Giannakis, Zhi-Quan Luo
2006 — conf
Distributed estimation with ad hoc wireless sensor networks.
EUSIPCO
Ioannis D. Schizas, Alejandro Ribeiro, Georgios B. Giannakis
2006 — conf
Optimal Dimensionality Reduction for Multi-Sensor Fusion in the Presence of Fading and Noise.
ICASSP (4)
Ioannis D. Schizas, Georgios B. Giannakis, Zhi-Quan Luo