Search Results for author: Mark Hansen

Found 4 papers, 1 papers with code

Using Item Response Theory to Measure Gender and Racial Bias of a BERT-based Automated English Speech Assessment System

no code implementations NAACL (BEA) 2022 Alexander Kwako, Yixin Wan, Jieyu Zhao, Kai-Wei Chang, Li Cai, Mark Hansen

This study addresses the need to examine potential biases of transformer-based models in the context of automated English speech assessment.

Connecting Surrogate Safety Measures to Crash Probablity via Causal Probabilistic Time Series Prediction

no code implementations4 Oct 2022 Jiajian Lu, Offer Grembek, Mark Hansen

The autoregressive structure mimicked the causal relationship between condition, action and crash outcome and the probability density functions are used to calculate the conditional action probability, crash probability and conditional crash probability.

counterfactual Open-Ended Question Answering +2

Predicting Aircraft Trajectories: A Deep Generative Convolutional Recurrent Neural Networks Approach

2 code implementations31 Dec 2018 Yulin Liu, Mark Hansen

Reliable 4D aircraft trajectory prediction, whether in a real-time setting or for analysis of counterfactuals, is important to the efficiency of the aviation system.

Trajectory Prediction

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