Albert Y. Zomaya
Computer Networks and Communications · 2001–2020
A researcher in the Science corpus: 18 papers; trusts 49 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 99 citations into it; #3,367 of 9,886 by trust here, #1,912 by citations
- Artificial Intelligence — 73 citations into it; #34,483 of 35,345 by trust here, #11,192 by citations
- Information Systems — 59 citations into it; #2,666 of 8,771 by trust here, #1,707 by citations
- Electrical and Electronic Engineering — 49 citations into it; #12,520 of 16,539 by trust here, #6,291 by citations
- Hardware and Architecture — 29 citations into it; #616 of 1,551 by trust here, #1,427 by citations
- Computer Vision and Pattern Recognition — 24 citations into it
- Optimization & Training — 24 citations into it
- Molecular Biology — 21 citations into it; #11,924 of 17,773 by trust here, #13,009 by citations
Whom Albert Y. Zomaya trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- John H. Holland
- David E. Goldberg
- Diederik P. Kingma
- Z. Michalewicz
- Geoffrey E. Hinton
- Jakub Konecný
- H. Brendan McMahan
- Thomas G. Dietterich
- Jimmy Ba
Who trusts Albert Y. Zomaya overall
- Jia Yu
- Panagiotis D. Diamantoulakis
- Rajkumar Buyya
- Michael Winkler
- N. Fusco
- V. M. Kapinas
- Youshan Tao
- Haya Kaspi
- Adam S. Sikora
- Eduardo Casas
Papers from Albert Y. Zomaya's perspective
Ordered by how strongly the researchers Albert Y. Zomaya trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Et al
- Dropout: a simple way to prevent neural networks from overfitting
Their papers
- Federated Learning over Wireless Networks: Optimization Model Design and Analysis (2019) — 911 citations
- Partial Differential Equations (2018) — 3,416 citations
- A Review of Ensemble Methods in Bioinformatics (2010) — 497 citations
- A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems (2010) — 821 citations
- Machine Learning Techniques for Protein Secondary Structure Prediction:An Overview and Evaluation (2008) — 37 citations
- Fast Adaptive Task Offloading in Edge Computing Based on Meta Reinforcement Learning (2020) — 345 citations
- Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence (2019) — 799 citations
- Robust ${H_\infty }$ Control of Doubly Fed Wind Generator via State-Dependent Riccati Equation Technique (2019) — 54 citations
- Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation (2019) — 402 citations
- Encyclopedia of Big Data Technologies (2019) — 58 citations
- Handbook of Big Data Technologies (2017) — 76 citations
- A Survey of Mobile Device Virtualization (2016) — 307 citations
- A survey and taxonomy on energy efficient resource allocation techniques for cloud computing systems (2016) — 366 citations
- Remote sensing big data computing: Challenges and opportunities (2015) — 604 citations
- Multisensor data fusion in Shared Sensor and Actuator Networks (2014) — 20 citations
- A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis (2014) — 1,003 citations
- Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions (2011) — 328 citations
- Observations on Using Genetic Algorithms for Dynamic Load-Balancing (2001) — 414 citations