Winner take all in a large array of opto-electronic feedback circuits for image processing. - Adrienne Jeanisha Raglin; Mikhail A. Vorontsov; Mohamed F. Chouikha (ICIP (2), 2002)

Competitive dynamics and pattern formation in a large array of optoelectronic feedback circuit system. - Adrienne Jeanisha Raglin; Mohamed F. Chouikha (Image Processing: Algorithms and Systems, 2004)

Compression-based steganalysis of LSB embedded images. - Charles G. Boncelet Jr.; Lisa M. Marvel; Adrienne Jeanisha Raglin (Security, Steganography, and Watermarking of Multimedia Contents, 2006)

Image segmentation utilizing the winner-take-all dynamics in a large-array opto-electronic feedback circuit. - Adrienne Jeanisha Raglin; Mohamed F. Chouikha (J. Electronic Imaging, 2007)

Human Information Interaction, Artificial Intelligence, and Errors. - Stephen Russell 001; Ira S. Moskowitz; Adrienne Raglin (Autonomy and Artificial Intelligence, 2017)

Secrecy-Preserving Reasoning and Query Answering in Probabilistic Description Logic Knowledge Bases. - Gopalakrishnan Krishnasamy Sivaprakasam; Adrienne Raglin; Douglas Summers-Stay; Giora Slutzki (GCAI, 2017)

The Analysis and Prediction of Eye Gaze When Viewing Statistical Graphs. - Andre V. Harrison; Mark A. Livingston; Derek P. Brock; Jonathan W. Decker; Dennis Perzanowski; Christopher Van Dolson; Joseph Mathews; Alexander Lulushi; Adrienne Raglin (HCI (14), 2017)

Between Multi-Attribute Utility Decision Making and Recommender Systems: Transparent, Instantaneous, Local Recommendations for Sparse Data. - James Schaffer; James Michaelis; Adrienne Raglin; Stephen Russell 001 (FLAIRS, 2018)

MxR Framework for Uncertainty Based Explanation for Uncovering Adversarial Behavior. - Adrienne Raglin; James Michaelis; Mark Dennison; Andre V. Harrison; Theron Trout; James Schaffer (HCI (10), 2018)

Image-Audio Encoding for Information Camouflage and Improving Malware Pattern Analysis. - Piyush Sharma; Adrienne Raglin (ICMLA, 2018)

Efficacy of Nonlinear Manifold Learning in Malware Image Pattern Analysis. - Piyush Sharma; Adrienne Raglin (ICMLA, 2018)

Fused Reasoning Under Uncertainty for Soldier Centric Human-Agent Decision Making. - Adrienne Raglin; Andre V. Harrison; Douglas Summers-Stay (SSIAI, 2018)

A Practical Data Repository for Causal Learning with Big Data. - Lu Cheng 001; Ruocheng Guo; Raha Moraffah; K. Selçuk Candan; Adrienne Raglin; Huan Liu 001 (Bench, 2019)

On the Use of Operations Research for Decision Making with Uncertainty for IoT Devices in Battlefield Situations. - Dawn A. Lott; Adrienne Raglin; Somiya Metu (CIC, 2019)

Smart CCR IoT: Internet of Things Testbed. - Adrienne Jeanisha Raglin; Dijiang Huang; Huan Liu 001; James McCabe (CIC, 2019)

Evaluation of Immersive Interfaces for Tactical Decision Support. - Mark Dennison; Mark R. Mittrick; John T. Richardson; Theron Trout; Adrienne Raglin; Eric Heilman; Timothy P. Hanratty (HCI (9), 2019)

Presentation of Information Uncertainty from IoBT for Military Decision Making. - Adrienne Raglin (HCI (22), 2019)

I can do better than your AI: expertise and explanations. - James Schaffer; John O'Donovan; James Michaelis; Adrienne Raglin; Tobias Höllerer (IUI, 2019)

IoT: Smart City Parking Solutions with Metric-Chisini-Jensen-Shannon Divergence based Kernels. - Piyush Sharma; Adrienne Raglin (MILCOM, 2019)

Abductive Causal Reasoning for Internet of Things. - Adrienne Raglin; Anshuman Venkateswaran; Huan Liu 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

IoT in Smart Cities: Exploring Information Theoretic and Deep Learning Models to Improve Parking Solutions. - Piyush Sharma; Adrienne Raglin (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Leveraging LoRaWAN to Support IoBT in Urban Environments. - James Michaelis; Alessandro Morelli; Adrienne Raglin; Deryck James; Niranjan Suri (WF-IoT, 2019)

Deep causal representation learning for unsupervised domain adaptation. - Raha Moraffah; Kai Shu; Adrienne Raglin; Huan Liu 001 (CoRR, 2019)

The Role of Multi-Criteria Decision-Making in a Sentry Agents Framework Utilizing Uncertainty of Information. - Justine Caylor; Somiya Metu; Adrienne Raglin (IEEE BigData, 2020)

On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. - 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; et al. (CogMI, 2020)

Causality and Uncertainty of Information for Content Understanding. - Adrienne Raglin; Raha Moraffah; Huan Liu 001 (CogMI, 2020)

Concept for Human and Computer to Determine Reason Based Scene Location. - Adrienne Raglin; Andre V. Harrison (HCI (48), 2020)

Challenges of Simulating Uncertainty of Information. - Adrienne Raglin; Somiya Metu; Dawn A. Lott (HCI (48), 2020)

IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. - Ruocheng Guo; Jundong Li; Yichuan Li 001; K. Selçuk Candan; Adrienne Raglin; Huan Liu 001 (IJCAI, 2020)

CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions. - Raha Moraffah; Bahman Moraffah; Mansooreh Karami; Adrienne Raglin; Huan Liu 001 (CoRR, 2020)

Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. - Raha Moraffah; Mansooreh Karami; Ruocheng Guo; Adrienne Raglin; Huan Liu 001 (SIGKDD Explor., 2020)

Preliminary Evaluation of Multi-criteria Decision-Making Methodology for Emergency Management. - Justine P. Caylor; Robert J. Hammell; Adrienne J. Raglin (AHFE (7), 2021)

Artificial Reasoning Toward Goal-Oriented Adaptive Arrays of Sensors. - Adrienne Raglin; Henry Hoffman; Mark R. Mittrick; Heather Zheng; Justine Caylor (CogMI, 2021)

Dynamic Course of Action Analysis with Uncertainty of Information in Wargaming Environment. - Adrienne Raglin; John T. Richardson; Mark R. Mittrick; Somiya Metu (HCI (38), 2021)

Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment. - Piyush K. Sharma; Adrienne Raglin (CoRR, 2021)

IoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making. - Piyush K. Sharma; Mark Dennison; Adrienne Raglin (CoRR, 2021)

Causal inference for time series analysis: problems, methods and evaluation. - Raha Moraffah; Paras Sheth; Mansooreh Karami; Anchit Bhattacharya; Qianru Wang; Anique Tahir; Adrienne Raglin; Huan Liu 001 (Knowl. Inf. Syst., 2021)

Artificial Reasoning in the Streetscape. - Adrienne Raglin; Sharon Sputz; Andrew Smyth (CogMI, 2022)

Uncertainty of Information (UoI) Taxonomy Assessment Based on Experimental User Study Results. - Adrienne Raglin; Aleah Emlet; Justine Caylor; John T. Richardson; Mark R. Mittrick; Somiya Metu (HCI (1), 2022)

Environmental Sound Classification for Flood Event Detection. - Bipendra Basnyat; Nirmalya Roy; Aryya Gangopadhyay; Adrienne Raglin (Intelligent Environments, 2022)

Domain Generalization - A Causal Perspective. - Paras Sheth; Raha Moraffah; K. Selçuk Candan; Adrienne Raglin; Huan Liu 001 (CoRR, 2022)

Data Integrity and Artificial Reasoning. - Adrienne Raglin; Raha Moraffah (CogMI, 2023)

Redundancy in Multi-source Information and Its Impact on Uncertainty. - Thom Hawkins; Justine Rawal; Adrienne Raglin (HCI (41), 2023)

General Agent Theory of Mind: Preliminary Investigations and Vision. - Prabhat Kumar; Adrienne Raglin; John T. Richardson (HCI (41), 2023)

AI Enabled Decision Support Framework. - Adrienne Raglin; Somiya Metu (HCI (41), 2023)

What Color is Your Swan? Uncertainty of Information Across Data. - Adrienne Raglin; Allison Newcomb; Lisa Scott (HCI (41), 2023)

A Quantitative Comparison of Causality and Feature Relevance via Explainable AI (XAI) for Robust, and Trustworthy Artificial Reasoning Systems. - Atul Rawal; James McCoy; Adrienne Raglin; Danda B. Rawat (HCI (40), 2023)

Socially Responsible Machine Learning: A Causal Perspective. - Raha Moraffah; Amir-Hossein Karimi; Adrienne Raglin; Huan Liu 001 (KDD, 2023)

CART-OD: Optimizing Object Detection Models via Correlation-Aware Prediction. - Utsab Khakurel; Danda B. Rawat; Adrienne Raglin; Anjon Basak (IEEE Big Data, 2024)

Using Automated Core and Spurious Features Detection in Scene Recognition to Explain Computer Vision Model. - Anjon Basak; Adrienne Raglin (CogMI, 2024)

Causal Intervention and Semantic Knowledge for Object Relationships. - Ayron Fears; Adrienne Raglin; Anjon Basak (CogMI, 2024)

Causal Inductive Biases for Cognitive Machine Learning. - Saketh Vishnubhatla; Adrienne Raglin; Raha Moraffah; Huan Liu 001 (CogMI, 2024)

Surveying Computational Theory of Mind and a Potential Multi-agent Approach. - Prabhat Kumar; Adrienne Raglin; John T. Richardson (HCI (51), 2024)

When to Observe or Act? Interpretable and Causal Recommendations in Time-Sensitive Dilemmas. - Abraham Moore Odell; Andrew Forney; Adrienne Raglin; Sunny Basak; Peter Khooshabeh (HCI (62), 2024)

Leveraging Generative AI Concepts with Uncertainty of Information Concept. - Adrienne Raglin (HCI (52), 2024)

Uncertainty of Information Applied to Network Monitoring Metrics. - Adrienne Raglin; Allison Newcomb; Lisa Scott (HCI (51), 2024)

Multi-Criteria Decision Making (MCDM) with Causal Reasoning for AI/ML Applications - A Survey. - Atul Rawal; Justine Rawal; Adrienne Raglin (HCI (52), 2024)

SERN: Simulation-Enhanced Realistic Navigation for Multi-Agent Robotic Systems in Contested Environments. - Jumman Hossain; Emon Dey; Snehalraj Chugh; Masud Ahmed; MS Anwar; Abu Zaher Md Faridee; Jason Hoppes; Theron Trout; Anjon Basak; Rafidh Chowdhury; Rishabh Mistry; Hyun Kim; et al. (CoRR, 2024)

Negative Nudging to Quantify the LLM Hallucination. - David Han 001; Adrienne Raglin; Doug Summers-Stay (HCI (56), 2025)

PEIRE: A Model for the Transfer of Information. - Dawn A. Lott; Somiya Metu; Adrienne Raglin (HCI (57), 2025)

Trust Calibration for Joint Human/AI Decision-Making in Dynamic and Uncertain Contexts. - Laura R. Marusich; Benjamin T. Files; Melanie Bancilhon; Justine Rawal; Adrienne Raglin (HCI (54), 2025)

Artificial Intelligence, Human AI Loop Paradigm, and Artificial Reasoning. - Adrienne Raglin (HCI (54), 2025)

Causal Reasoning with Large Language Models - A ChatGPT Case Study. - Atul Rawal; Justine Rawal; Adrienne Raglin; Qianlong Wang; Ziying Tang (HCI (57), 2025)

Mitigating Compositional Failures in Text-to-Image Models with Causal Text Embedding Refinement. - Arman Zarei; Keivan Rezaei; Samyadeep Basu; Mehrdad Saberi; Mazda Moayeri; Priyatham Kattakinda; Adrienne Raglin; Anjon Basak; Soheil Feizi (PerCom Workshops, 2025)

Causality for Trustworthy Artificial Intelligence: Status, Challenges and Perspectives. - Atul Rawal; Adrienne Raglin; Danda B. Rawat; Brian M. Sadler; James McCoy (ACM Comput. Surv., 2025)