Parisa Rashidi
Computer Vision and Pattern Recognition · 2009–2020
A researcher in the Science corpus: 7 papers; trusts 51 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 106 citations into it; #8,763 of 21,575 by trust here, #9,305 by citations
- Artificial Intelligence — 69 citations into it
- Biomedical Engineering — 47 citations into it
- Computer Networks and Communications — 30 citations into it; #4,111 of 9,886 by trust here, #3,862 by citations
- Signal Processing — 28 citations into it; #4,660 of 7,572 by trust here, #4,201 by citations
- Electrical and Electronic Engineering — 19 citations into it
- General Health Professions — 17 citations into it
- Health Information Management — 17 citations into it
Whom Parisa Rashidi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Emmanuel Munguia Tapia
- Lin Liao
- Paramvir Victor Bahl
- John F. Roddick
- Carmen C. Y. Poon
- Danny Wyatt
- Matthai Philipose
- Eamonn J. Keogh
- Harry Chen
- Stephen S. Intille
Who trusts Parisa Rashidi overall
- Diane Joyce Cook
- Enea Cippitelli
- Hadi Banaee
- Indrė Žliobaitė
- Ammar M. Gharaibeh
- Ennio Gambi
- Mobyen Uddin Ahmed
- Mohammad Ali Salahuddin
- Susanna Spinsante
- Ane Alberdi
Papers from Parisa Rashidi's perspective
Ordered by how strongly the researchers Parisa Rashidi 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis (2017) — 1,486 citations
- Keeping the Resident in the Loop: Adapting the Smart Home to the User (2009) — 465 citations
- The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions (2014) — 520 citations
- Human Activity Recognition using Inertial, Physiological and Environmental Sensors: A Comprehensive Survey (2020) — 309 citations
- Artificial Intelligence and Surgical Decision-Making (2019) — 465 citations
- A Survey on Ambient Intelligence in Health Care (2013) — 616 citations
- A Survey on Ambient-Assisted Living Tools for Older Adults (2013) — 1,099 citations