Adrienne Raglin

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 48

Top Topics

Machine Learning

Decision Making

Pattern Analysis

Top Venues

Publications

Adrienne Raglin
Leveraging Generative AI Concepts with Uncertainty of Information Concept. HCI (52) (2024)
Abraham Moore Odell, Andrew Forney, Adrienne Raglin, Sunny Basak, Peter Khooshabeh
When to Observe or Act? Interpretable and Causal Recommendations in Time-Sensitive Dilemmas. HCI (62) (2024)
Adrienne Raglin, Allison Newcomb, Lisa Scott
Uncertainty of Information Applied to Network Monitoring Metrics. HCI (51) (2024)
Prabhat Kumar, Adrienne Raglin, John T. Richardson
Surveying Computational Theory of Mind and a Potential Multi-agent Approach. HCI (51) (2024)
Atul Rawal, Justine Rawal, Adrienne Raglin
Multi-Criteria Decision Making (MCDM) with Causal Reasoning for AI/ML Applications - A Survey. HCI (52) (2024)
Adrienne Raglin, Raha Moraffah
Data Integrity and Artificial Reasoning. CogMI (2023)
Atul Rawal, James McCoy, Adrienne Raglin, Danda B. Rawat
A Quantitative Comparison of Causality and Feature Relevance via Explainable AI (XAI) for Robust, and Trustworthy Artificial Reasoning Systems. HCI (40) (2023)
Adrienne Raglin, Allison Newcomb, Lisa Scott
What Color is Your Swan? Uncertainty of Information Across Data. HCI (41) (2023)
Prabhat Kumar, Adrienne Raglin, John T. Richardson
General Agent Theory of Mind: Preliminary Investigations and Vision. HCI (41) (2023)
Thom Hawkins, Justine Rawal, Adrienne Raglin
Redundancy in Multi-source Information and Its Impact on Uncertainty. HCI (41) (2023)
Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu
Socially Responsible Machine Learning: A Causal Perspective. KDD (2023)
Adrienne Raglin, Somiya Metu
AI Enabled Decision Support Framework. HCI (41) (2023)
Adrienne Raglin, Sharon Sputz, Andrew Smyth
Artificial Reasoning in the Streetscape. CogMI (2022)
Bipendra Basnyat, Nirmalya Roy, Aryya Gangopadhyay, Adrienne Raglin
Environmental Sound Classification for Flood Event Detection. Intelligent Environments (2022)
Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
Domain Generalization - A Causal Perspective. CoRR (2022)
Adrienne Raglin, Aleah Emlet, Justine Caylor, John T. Richardson, Mark R. Mittrick, Somiya Metu
Uncertainty of Information (UoI) Taxonomy Assessment Based on Experimental User Study Results. HCI (1) (2022)
Adrienne Raglin, Henry Hoffman, Mark R. Mittrick, Heather Zheng, Justine Caylor
Artificial Reasoning Toward Goal-Oriented Adaptive Arrays of Sensors. CogMI (2021)
Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
Causal Inference for Time series Analysis: Problems, Methods and Evaluation. CoRR (2021)
Adrienne Raglin, John T. Richardson, Mark R. Mittrick, Somiya Metu
Dynamic Course of Action Analysis with Uncertainty of Information in Wargaming Environment. HCI (38) (2021)
Piyush K. Sharma, Adrienne Raglin
Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment. CoRR (2021)
Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
Causal inference for time series analysis: problems, methods and evaluation. Knowl. Inf. Syst. 63 (12) (2021)
Piyush K. Sharma, Mark Dennison, Adrienne Raglin
IoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making. CoRR (2021)
Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. CoRR (2020)
Raha Moraffah, Bahman Moraffah, Mansooreh Karami, Adrienne Raglin, Huan Liu
CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions. CoRR (2020)
Justine Caylor, Somiya Metu, Adrienne Raglin
The Role of Multi-Criteria Decision-Making in a Sentry Agents Framework Utilizing Uncertainty of Information. IEEE BigData (2020)
Adrienne Raglin, Raha Moraffah, Huan Liu
Causality and Uncertainty of Information for Content Understanding. CogMI (2020)
Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. IJCAI (2020)
Benjamin M. Marlin, Tarek F. Abdelzaher, Gabriela F. Ciocarlie, Adam D. Cobb, Mark Dennison, Brian Jalaian, Lance M. Kaplan, Tiffany Raber, Adrienne Raglin, Piyush K. Sharma, Mani B. Srivastava, Theron Trout, Meet P. Vadera, Maggie B. Wigness
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. CogMI (2020)
Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. SIGKDD Explor. 22 (1) (2020)
Adrienne Raglin, Andre Harrison
Concept for Human and Computer to Determine Reason Based Scene Location. HCI (48) (2020)
Adrienne Raglin, Somiya Metu, Dawn A. Lott
Challenges of Simulating Uncertainty of Information. HCI (48) (2020)
Piyush Sharma, Adrienne Raglin
IoT: Smart City Parking Solutions with Metric-Chisini-Jensen-Shannon Divergence based Kernels. MILCOM (2019)
Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu
Deep causal representation learning for unsupervised domain adaptation. CoRR (2019)
Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
A Practical Data Repository for Causal Learning with Big Data. Bench (2019)
James Michaelis, Alessandro Morelli, Adrienne Raglin, Deryck James, Niranjan Suri
Leveraging LoRaWAN to Support IoBT in Urban Environments. WF-IoT (2019)
Adrienne Raglin, Anshuman Venkateswaran, Huan Liu
Abductive Causal Reasoning for Internet of Things. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
Adrienne Raglin
Presentation of Information Uncertainty from IoBT for Military Decision Making. HCI (22) (2019)
Dawn A. Lott, Adrienne Raglin, Somiya Metu
On the Use of Operations Research for Decision Making with Uncertainty for IoT Devices in Battlefield Situations. CIC (2019)
Piyush Sharma, Adrienne Raglin
IoT in Smart Cities: Exploring Information Theoretic and Deep Learning Models to Improve Parking Solutions. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2019)
James Schaffer, John O'Donovan, James Michaelis, Adrienne Raglin, Tobias Höllerer
I can do better than your AI: expertise and explanations. IUI (2019)
Mark Dennison, Mark R. Mittrick, John T. Richardson, Theron Trout, Adrienne Raglin, Eric Heilman, Timothy P. Hanratty
Evaluation of Immersive Interfaces for Tactical Decision Support. HCI (9) (2019)
James Schaffer, James Michaelis, Adrienne Raglin, Stephen Russell
Between Multi-Attribute Utility Decision Making and Recommender Systems: Transparent, Instantaneous, Local Recommendations for Sparse Data. FLAIRS Conference (2018)
Piyush Sharma, Adrienne Raglin
Image-Audio Encoding for Information Camouflage and Improving Malware Pattern Analysis. ICMLA (2018)
Adrienne Raglin, Andre Harrison, Douglas Summers-Stay
Fused Reasoning Under Uncertainty for Soldier Centric Human-Agent Decision Making. SSIAI (2018)
Adrienne Raglin, James Michaelis, Mark Dennison, Andre Harrison, Theron Trout, James Schaffer
MxR Framework for Uncertainty Based Explanation for Uncovering Adversarial Behavior. HCI (10) (2018)
Piyush Sharma, Adrienne Raglin
Efficacy of Nonlinear Manifold Learning in Malware Image Pattern Analysis. ICMLA (2018)
Andre Harrison, Mark A. Livingston, Derek P. Brock, Jonathan W. Decker, Dennis Perzanowski, Christopher Van Dolson, Joseph Mathews, Alexander Lulushi, Adrienne Raglin
The Analysis and Prediction of Eye Gaze When Viewing Statistical Graphs. HCI (14) (2017)
Gopalakrishnan Krishnasamy Sivaprakasam, Adrienne Raglin, Douglas Summers-Stay, Giora Slutzki
Secrecy-Preserving Reasoning and Query Answering in Probabilistic Description Logic Knowledge Bases. GCAI (2017)