Mohammad Soleymani
Experimental and Cognitive Psychology · 2009–2019
A researcher in the Science corpus: 7 papers; trusts 43 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 79 citations into it; #773 of 9,731 by trust here, #618 by citations
- Artificial Intelligence — 75 citations into it
- Computer Vision and Pattern Recognition — 45 citations into it
- Social Psychology — 44 citations into it; #1,803 of 15,694 by trust here, #1,518 by citations
- Cognitive Neuroscience — 42 citations into it; #4,976 of 10,852 by trust here, #2,252 by citations
- Signal Processing — 27 citations into it
- Natural Language Processing — 12 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Mohammad Soleymani trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin
- Klaus R. Scherer
- David G. Lowe
- Maja Pantic
- Sepp Hochreiter
- Florian Eyben
- Geoffrey E. Hinton
- Hatice Gunes
- Guillaume Chanel
- Clive W. J. Granger
Who trusts Mohammad Soleymani overall
- Wei-Long Zheng
- Stamos Katsigiannis
- Yongjin Liu
- Andrius Dzedzickis
- Soraia M. Alarcão
- Zitong Yu
- Mojtaba Khomami Abadi
- Xiaobai Li
- Peiyang Li
- Xiang Li
Papers from Mohammad Soleymani's perspective
Ordered by how strongly the researchers Mohammad Soleymani 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- A survey of multimodal sentiment analysis (2017) — 609 citations
- DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2012) — 4,571 citations
- A Multimodal Database for Affect Recognition and Implicit Tagging (2012) — 1,559 citations
- Multimodal Emotion Recognition in Response to Videos (2012) — 697 citations
- AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019) — 420 citations
- Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection (2016) — 495 citations
- Short-term emotion assessment in a recall paradigm (2009) — 387 citations