Search Results for author: Adrienne Raglin

Found 6 papers, 0 papers with code

IoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making

no code implementations2 Jun 2021 Piyush K. Sharma, Mark Dennison, Adrienne Raglin

Deployment of Internet of Things (IoT) devices and Data Fusion techniques have gained popularity in public and government domains.

Anomaly Detection Decision Making

Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment

no code implementations1 Jun 2021 Piyush K. Sharma, Adrienne Raglin

The military is investigating methods to improve communication and agility in its multi-domain operations (MDO).

Decision Making

Causal Inference for Time series Analysis: Problems, Methods and Evaluation

no code implementations11 Feb 2021 Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu

In this paper, we focus on two causal inference tasks, i. e., treatment effect estimation and causal discovery for time series data, and provide a comprehensive review of the approaches in each task.

Causal Discovery Causal Inference +2

Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation

no code implementations9 Mar 2020 Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu

In this work, models that aim to answer causal questions are referred to as causal interpretable models.

Decision Making

Deep causal representation learning for unsupervised domain adaptation

no code implementations28 Oct 2019 Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu

Recent research on deep domain adaptation proposed to mitigate this problem by forcing the deep model to learn more transferable feature representations across domains.

Representation Learning Unsupervised Domain Adaptation

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