Fatemeh Sheikholeslami

According to our database1, Fatemeh Sheikholeslami authored at least 21 papers between 2013 and 2020.

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

Timeline

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PhD thesis 
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Bibliography

2020
Reinforcement Learning for Caching with Space-Time Popularity Dynamics.
CoRR, 2020

2019
Reinforcement Learning for Adaptive Caching With Dynamic Storage Pricing.
IEEE J. Sel. Areas Commun., 2019

Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks.
CoRR, 2019

Efficient Randomized Defense against Adversarial Attacks in Deep Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

Structured Egonet Tensors for Robust Node Embedding.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Identification of Overlapping Communities via Constrained Egonet Tensor Decomposition.
IEEE Trans. Signal Process., 2018

Large-Scale Kernel-Based Feature Extraction via Low-Rank Subspace Tracking on a Budget.
IEEE Trans. Signal Process., 2018

Optimal and Scalable Caching for 5G Using Reinforcement Learning of Space-Time Popularities.
IEEE J. Sel. Top. Signal Process., 2018

Optimal Dynamic Proactive Caching Via Reinforcement Learning.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Reinforcement Learning for 5G Caching with Dynamic Cost.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Overlapping Community Detection via Constrained PARAFAC: A Divide and Conquer Approach.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Memory efficient low-rank non-linear subspace tracking.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Scalable kernel-based learning via low-rank approximation of lifted data.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

Soft unveiling of communities via egonet tensors.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Large-scale Kernel-based Feature Extraction via Budgeted Nonlinear Subspace Tracking.
CoRR, 2016

Egonet tensor decomposition for community identification.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015
Optimal Probabilistic Initial and Target Channel Selection for Spectrum Handoff in Cognitive Radio Networks.
IEEE Trans. Wirel. Commun., 2015

Kernel-based low-rank feature extraction on a budget for big data streams.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

Online subspace learning and nonlinear classification of Big Data with misses.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

2014
Classification of streaming big data with misses.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Distributed Multiuser Sequential Channel Sensing Schemes in Multichannel Cognitive Radio Networks.
IEEE Trans. Wirel. Commun., 2013


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