Panagiotis Ch. Anastasopoulos
Safety, Risk, Reliability and Quality · 2003–2019
A researcher in the Science corpus: 8 papers; trusts 38 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Safety, Risk, Reliability and Quality — 40 citations into it; #84 of 1,220 by trust here, #97 by citations
- Artificial Intelligence — 26 citations into it
- Transportation — 26 citations into it; #810 of 2,062 by trust here, #852 by citations
- Computer Vision and Pattern Recognition — 23 citations into it
- Statistics and Probability — 22 citations into it
- Economics and Econometrics — 17 citations into it
- Generative Models — 14 citations into it
- Public Health, Environmental and Occupational Health — 14 citations into it; #405 of 2,368 by trust here, #842 by citations
Whom Panagiotis Ch. Anastasopoulos trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Chandra R. Bhat
- Q. Vuong
- Diane Lambert
- Kenneth Train
- Jianming Ma
- Fred L. Mannering
- Mohamed A. Abdel-Aty
- Kara M. Kockelman
- Yajie Zou
- Donald B. Rubin
Who trusts Panagiotis Ch. Anastasopoulos overall
- Yajie Zou
- Grigorios Fountas
- Marisol Castro
- N. S. Al-Bdairi
- Narayanaswamy Venkataraman
- Q. Zeng
- D. Lord
- Ali Behnood
- Lingtao Wu
- Rajesh Paleti
Papers from Panagiotis Ch. Anastasopoulos's perspective
Ordered by how strongly the researchers Panagiotis Ch. Anastasopoulos trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Stochastic Backpropagation and Approximate Inference in Deep Generative Models
- ImageNet: A large-scale hierarchical image database
- WaveNet: A Generative Model for Raw Audio
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Panel Data Analysis (2003) — 266 citations
- The effects of driver fatigue, gender, and distracted driving on perceived and observed aggressive driving behavior: A correlated grouped random parameters bivariate probit approach (2019) — 167 citations
- Latent Variable Models (2019)
- Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances (2018) — 98 citations
- Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates (2018) — 227 citations
- Grouped random parameters bivariate probit analysis of perceived and observed aggressive driving behavior: A driving simulation study (2017) — 92 citations
- Random parameters multivariate tobit and zero-inflated count data models: addressing unobserved and zero-state heterogeneity in accident injury-severity rate and frequency analysis (2016) — 161 citations
- A note on modeling vehicle accident frequencies with random-parameters count models. (2009) — 728 citations