Amazon (Germany) - Concepedia

Concepedia

Institution (Company)

Amazon (Germany)

Homepage Wikipedia ROR

Also Known As

Amazon (Germany), Amazon.com

7.2K

Publications

96.5K

Citations

140

Authors

749

Concepts

About

Amazon (Germany) is a company institution in Berlin, Germany known for engineering, machine learning, and computer science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	71	837	62.5K
2	Business	20	43	3K
3	Education	15	32	1.2K
4	Health Sciences	14	49	1.6K
5	Arts	10	20	773

Amazon (Germany)

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7.2K

Publications

96.5K

Citations

	Year	Citations
Bag of Tricks for Image Classification with Convolutional Neural Networks Tong He, Zhi Zhang, Hang Zhang, Convolutional Neural NetworkEngineeringMachine LearningObject CategorizationImage Classification	2019	1.5K
ResNeSt: Split-Attention Networks Hang Zhang, Chongruo Wu, Zhongyue Zhang, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) Convolutional Neural NetworkEngineeringMachine LearningDeep Learning ModelsRecurrent Neural Network	2022	1.2K
Eventually consistent Werner Vogels Communications of the ACM ReliabilityHigh Availability SoftwareReliability EngineeringAvailabilityWorldwide Scale	2008	984
Sampling Matters in Deep Embedding Learning Chao-Yuan Wu, R. Manmatha, Alexander J. Smola, Few-shot LearningGeometric LearningConvolutional Neural NetworkEngineeringMachine Learning	2017	872
The QUIC Transport Protocol Adam Langley, Alistair Riddoch, Alyssa Wilk, Internet Traffic AnalysisEngineeringInternet ComputingInternet Of ThingsNext Generation Internet	2017	754
Region Proposal by Guided Anchoring Jiaqi Wang, Kai Chen, Shuo Yang, Convolutional Neural NetworkEngineeringMachine LearningField RoboticsComputer-aided Design	2019	676
Variational Information Distillation for Knowledge Transfer Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Artificial IntelligenceTeacher Neural NetworkConvolutional Neural NetworkEngineeringMachine Learning	2019	639
Two Decades of Recommender Systems at Amazon.com Brent Smith, Greg Linden IEEE Internet Computing EngineeringBusiness IntelligenceConsumer ResearchBusiness AnalyticsInformation Retrieval	2017	637
MeshCNN Rana Hanocka, Amir Hertz, Noa Fish, ACM Transactions on Graphics	2019	630
OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations Pramuditha Perera, Ramesh Nallapati, Bing Xiang Artificial IntelligenceAnomaly DetectionMachine LearningConstrained Latent RepresentationsEngineering	2019	550

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