Arkady B. Zaslavsky
Computer Networks and Communications · 2005–2016
A researcher in the Science corpus: 7 papers; trusts 30 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 50 citations into it; #3,438 of 9,886 by trust here, #905 by citations
- Artificial Intelligence — 36 citations into it; #15,208 of 35,345 by trust here, #13,544 by citations
- Information Systems — 28 citations into it; #5,108 of 8,771 by trust here, #3,315 by citations
- Signal Processing — 26 citations into it; #3,167 of 7,572 by trust here, #2,001 by citations
- Computer Vision and Pattern Recognition — 23 citations into it; #16,668 of 21,575 by trust here, #6,873 by citations
Whom Arkady B. Zaslavsky trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charu C. Aggarwal
- Geoff Hulten
- Pedro M. Domingos
- Jiawei Han
- Sudipto Guha
- Liadan O'Callaghan
- George A. Miller
- Philip S. Yu
- Rajeev Motwani
- Jianyong Wang
Who trusts Arkady B. Zaslavsky overall
- Charith Perera
- Alessio Botta
- Yongrui Qin
- Michael Hahsler
- Walter de Donato
- Geoffrey I. Webb
- Jing Zhang
- Kazi Masudul Alam
- Hai-Long Nguyen
- Júlio Cezar Estrella
Papers from Arkady B. Zaslavsky's perspective
Ordered by how strongly the researchers Arkady B. Zaslavsky trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Internet of Things Platform for Smart Farming: Experiences and Lessons Learnt (2016) — 369 citations
- OpenIoT: Open Source Internet-of-Things in the Cloud (2014) — 324 citations
- Context Aware Computing for The Internet of Things: A Survey (2013) — 2,775 citations
- Sensing as a Service and Big Data (2013) — 523 citations
- Sensing as a service model for smart cities supported by Internet of Things (2013) — 982 citations
- A Survey of Classification Methods in Data Streams (2007) — 111 citations
- Mining data streams: a review (2005) — 1,065 citations