Zaid J. Towfic

Orcid: 0000-0002-3631-7451

According to our database1, Zaid J. Towfic authored at least 25 papers between 2010 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Benchmarking Deep Learning Models on Myriad and Snapdragon Processors for Space Applications.
J. Aerosp. Inf. Syst., 2023

2022
Benchmarking Remote Sensing Image Processing and Analysis on the Snapdragon Processor Onboard the International Space Station.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Benchmarking Deep Learning Inference of Remote Sensing Imagery on the Qualcomm Snapdragon And Intel Movidius Myriad X Processors Onboard the International Space Station.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

2020
Flood Mapping Using UAVSAR and Convolutional Neural Networks.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2016
Excess-Risk of Distributed Stochastic Learners.
IEEE Trans. Inf. Theory, 2016

2015
Stability and Performance Limits of Adaptive Primal-Dual Networks.
IEEE Trans. Signal Process., 2015

Dictionary Learning Over Distributed Models.
IEEE Trans. Signal Process., 2015

Distributed primal strategies outperform primal-dual strategies over adaptive networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Online Learning Over Networks.
PhD thesis, 2014

Adaptive Penalty-Based Distributed Stochastic Convex Optimization.
IEEE Trans. Signal Process., 2014

Dictionary learning over large distributed models via dual-ADMM strategies.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Online dictionary learning over distributed models.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Diffusion Strategies for Adaptation and Learning over Networks: An Examination of Distributed Strategies and Network Behavior.
IEEE Signal Process. Mag., 2013

On distributed online classification in the midst of concept drifts.
Neurocomputing, 2013

Excess-Risk Analysis of Distributed Stochastic Learners
CoRR, 2013

Distributed inference over regression and classification models.
Proceedings of the IEEE International Conference on Acoustics, 2013

Adaptive stochastic convex optimization over networks.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

A neuron as a signal processing device.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Clock Jitter Compensation in High-Rate ADC Circuits.
IEEE Trans. Signal Process., 2012

On the generalization ability of distributed online learners.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Distributed throughput optimization over P2P mesh networks using diffusion adaptation.
Proceedings of IEEE International Conference on Communications, 2012

Distributed learning via Diffusion adaptation with application to ensemble learning.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Collaborative learning of mixture models using diffusion adaptation.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

Clock jitter estimation in noise.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2011), 2011

2010
Sampling clock jitter estimation and compensation in ADC circuits.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010


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