Adrienne Raglin

72 papers A* 2A 3B 2C 3Misc 1Journal 15Unranked 45

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	On Causal and Anticausal LLM-based Data Synthesis. WSDM Bohan Jiang, Pingchuan Ma, Zhuoyu Shi, Fred Morstatter, Adrienne Raglin, Huan Liu
2026	J	`jnl`	Proxy-Guided Measurement Calibration. CoRR Saketh Vishnubhatla, Shu Wan, Andre Harrison, Adrienne Raglin, Huan Liu
2025	—	`conf`	A Traffic Risk Semantic Framework for Enhanced Trajectory Prediction and Explainable Risk Assessment in Autonomous Driving. HCI (82) Anjon Basak, Xuan Di, Adrienne Raglin
2025	A	`conf`	An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution. CIKM Saketh Vishnubhatla, Alimohammad Beigi, Rui Heng Foo, Umang Goel, Ujun Jeong, Bohan Jiang, Adrienne Raglin, Huan Liu
2025	J	`jnl`	An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution. CoRR Saketh Vishnubhatla, Alimohammad Beigi, Rui Heng Foo, Umang Goel, Ujun Jeong, Bohan Jiang, Adrienne Raglin, Huan Liu
2025	—	`conf`	Artificial Intelligence, Human AI Loop Paradigm, and Artificial Reasoning. HCI (54) Adrienne Raglin
2025	J	`jnl`	Assessing On-the-Ground Disaster Impact Using Online Data Sources. CoRR Saketh Vishnubhatla, Ujun Jeong, Bohan Jiang, Paras Sheth, Zhen Tan, Adrienne Raglin, Huan Liu
2025	J	`jnl`	CAMO: Causality-Guided Adversarial Multimodal Domain Generalization for Crisis Classification. CoRR Pingchuan Ma, Chengshuai Zhao, Bohan Jiang, Saketh Vishnubhatla, Ujun Jeong, Alimohammad Beigi, Adrienne Raglin, Huan Liu
2025	—	`conf`	Causal Reasoning with Large Language Models - A ChatGPT Case Study. HCI (57) Atul Rawal, Justine Rawal, Adrienne Raglin, Qianlong Wang, Ziying Tang
2025	J	`jnl`	Causality for Trustworthy Artificial Intelligence: Status, Challenges and Perspectives. ACM Comput. Surv. Atul Rawal, Adrienne Raglin, Danda B. Rawat, Brian M. Sadler, James McCoy
2025	—	`conf`	Constrained Causal Decision Dilemmas. HCI (82) Abraham Moore Odell, Andrew Forney, Adrienne Raglin, Anjon Basak, Peter Khooshabeh
2025	—	`conf`	Directions for Computational Theory of Mind: Data, Metrics, Models and Mathematical Formalization. HCI (82) Prabhat Kumar, Erin Zaroukian, Douglas Summers-Stay, Adrienne Raglin
2025	—	`conf`	Enhancing Interpretability and Gaining Insights into Robustness in Vision-Language Models Through Core and Spurious Feature Detection via Counterfactuals. HCI (82) Anjon Basak, Adrienne Raglin
2025	C	`conf`	LLM Assisted Attribute Generation for Image Datasets - A ChatGPT Case Study. SERA Atul Rawal, Adrienne Raglin, Qianlong Wang, Ziying Tang
2025	—	`conf`	Mitigating Compositional Failures in Text-to-Image Models with Causal Text Embedding Refinement. PerCom Workshops Arman Zarei, Keivan Rezaei, Samyadeep Basu, Mehrdad Saberi, Mazda Moayeri, Priyatham Kattakinda, Adrienne Raglin, Anjon Basak, Soheil Feizi
2025	—	`conf`	Negative Nudging to Quantify the LLM Hallucination. HCI (56) David Han, Adrienne Raglin, Doug Summers-Stay
2025	—	`conf`	PEIRE: A Model for the Transfer of Information. HCI (57) Dawn A. Lott, Somiya Metu, Adrienne Raglin
2025	—	`conf`	Trust Calibration for Joint Human/AI Decision-Making in Dynamic and Uncertain Contexts. HCI (54) Laura R. Marusich, Benjamin T. Files, Melanie Bancilhon, Justine Rawal, Adrienne Raglin
2024	B	`conf`	CART-OD: Optimizing Object Detection Models via Correlation-Aware Prediction. IEEE Big Data Utsab Khakurel, Danda B. Rawat, Adrienne Raglin, Anjon Basak
2024	—	`conf`	Causal Inductive Biases for Cognitive Machine Learning. CogMI Saketh Vishnubhatla, Adrienne Raglin, Raha Moraffah, Huan Liu
2024	—	`conf`	Causal Intervention and Semantic Knowledge for Object Relationships. CogMI Ayron Fears, Adrienne Raglin, Anjon Basak
2024	—	`conf`	Leveraging Generative AI Concepts with Uncertainty of Information Concept. HCI (52) Adrienne Raglin
2024	—	`conf`	Multi-Criteria Decision Making (MCDM) with Causal Reasoning for AI/ML Applications - A Survey. HCI (52) Atul Rawal, Justine Rawal, Adrienne Raglin
2024	J	`jnl`	SERN: Simulation-Enhanced Realistic Navigation for Multi-Agent Robotic Systems in Contested Environments. CoRR 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, Jade Freeman, Niranjan Suri, Adrienne Raglin, Carl E. Busart, Timothy Gregory, Anuradha Ravi, Nirmalya Roy
2024	—	`conf`	Surveying Computational Theory of Mind and a Potential Multi-agent Approach. HCI (51) Prabhat Kumar, Adrienne Raglin, John T. Richardson
2024	—	`conf`	Uncertainty of Information Applied to Network Monitoring Metrics. HCI (51) Adrienne Raglin, Allison Newcomb, Lisa Scott
2024	—	`conf`	Using Automated Core and Spurious Features Detection in Scene Recognition to Explain Computer Vision Model. CogMI Anjon Basak, Adrienne Raglin
2024	—	`conf`	When to Observe or Act? Interpretable and Causal Recommendations in Time-Sensitive Dilemmas. HCI (62) Abraham Moore Odell, Andrew Forney, Adrienne Raglin, Sunny Basak, Peter Khooshabeh
2023	—	`conf`	A Quantitative Comparison of Causality and Feature Relevance via Explainable AI (XAI) for Robust, and Trustworthy Artificial Reasoning Systems. HCI (40) Atul Rawal, James McCoy, Adrienne Raglin, Danda B. Rawat
2023	—	`conf`	AI Enabled Decision Support Framework. HCI (41) Adrienne Raglin, Somiya Metu
2023	—	`conf`	Data Integrity and Artificial Reasoning. CogMI Adrienne Raglin, Raha Moraffah
2023	—	`conf`	General Agent Theory of Mind: Preliminary Investigations and Vision. HCI (41) Prabhat Kumar, Adrienne Raglin, John T. Richardson
2023	—	`conf`	Redundancy in Multi-source Information and Its Impact on Uncertainty. HCI (41) Thom Hawkins, Justine Rawal, Adrienne Raglin
2023	A*	`conf`	Socially Responsible Machine Learning: A Causal Perspective. KDD Raha Moraffah, Amir-Hossein Karimi, Adrienne Raglin, Huan Liu
2023	—	`conf`	What Color is Your Swan? Uncertainty of Information Across Data. HCI (41) Adrienne Raglin, Allison Newcomb, Lisa Scott
2022	—	`conf`	Artificial Reasoning in the Streetscape. CogMI Adrienne Raglin, Sharon Sputz, Andrew W. Smyth
2022	J	`jnl`	Domain Generalization - A Causal Perspective. CoRR Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
2022	B	`conf`	Environmental Sound Classification for Flood Event Detection. Intelligent Environments Bipendra Basnyat, Nirmalya Roy, Aryya Gangopadhyay, Adrienne Raglin
2022	—	`conf`	Uncertainty of Information (UoI) Taxonomy Assessment Based on Experimental User Study Results. HCI (1) Adrienne Raglin, Aleah Emlet, Justine Caylor, John T. Richardson, Mark R. Mittrick, Somiya Metu
2021	—	`conf`	Artificial Reasoning Toward Goal-Oriented Adaptive Arrays of Sensors. CogMI Adrienne Raglin, Henry Hoffman, Mark R. Mittrick, Heather Zheng, Justine Caylor
2021	J	`jnl`	Causal Inference for Time series Analysis: Problems, Methods and Evaluation. CoRR Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
2021	J	`jnl`	Causal inference for time series analysis: problems, methods and evaluation. Knowl. Inf. Syst. Raha Moraffah, Paras Sheth, Mansooreh Karami, Anchit Bhattacharya, Qianru Wang, Anique Tahir, Adrienne Raglin, Huan Liu
2021	—	`conf`	Dynamic Course of Action Analysis with Uncertainty of Information in Wargaming Environment. HCI (38) Adrienne Raglin, John T. Richardson, Mark R. Mittrick, Somiya Metu
2021	J	`jnl`	Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment. CoRR Piyush K. Sharma, Adrienne Raglin
2021	J	`jnl`	IoT Solutions with Multi-Sensor Fusion and Signal-Image Encoding for Secure Data Transfer and Decision Making. CoRR Piyush K. Sharma, Mark Dennison, Adrienne Raglin
2020	J	`jnl`	CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions. CoRR Raha Moraffah, Bahman Moraffah, Mansooreh Karami, Adrienne Raglin, Huan Liu
2020	J	`jnl`	Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. CoRR Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu
2020	J	`jnl`	Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. SIGKDD Explor. Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu
2020	—	`conf`	Causality and Uncertainty of Information for Content Understanding. CogMI Adrienne Raglin, Raha Moraffah, Huan Liu
2020	—	`conf`	Challenges of Simulating Uncertainty of Information. HCI (48) Adrienne Raglin, Somiya Metu, Dawn A. Lott
2020	—	`conf`	Concept for Human and Computer to Determine Reason Based Scene Location. HCI (48) Adrienne Raglin, Andre Harrison
2020	A*	`conf`	IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data. IJCAI Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu
2020	—	`conf`	On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems. CogMI 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
2020	—	`conf`	The Role of Multi-Criteria Decision-Making in a Sentry Agents Framework Utilizing Uncertainty of Information. IEEE BigData Justine Caylor, Somiya Metu, Adrienne Raglin
2019	—	`conf`	A Practical Data Repository for Causal Learning with Big Data. Bench Lu Cheng, Ruocheng Guo, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu
2019	—	`conf`	Abductive Causal Reasoning for Internet of Things. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Adrienne Raglin, Anshuman Venkateswaran, Huan Liu
2019	J	`jnl`	Deep causal representation learning for unsupervised domain adaptation. CoRR Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu
2019	—	`conf`	Evaluation of Immersive Interfaces for Tactical Decision Support. HCI (9) Mark Dennison, Mark R. Mittrick, John T. Richardson, Theron Trout, Adrienne Raglin, Eric Heilman, Timothy P. Hanratty
2019	A	`conf`	I can do better than your AI: expertise and explanations. IUI James Schaffer, John O'Donovan, James Michaelis, Adrienne Raglin, Tobias Höllerer
2019	—	`conf`	IoT in Smart Cities: Exploring Information Theoretic and Deep Learning Models to Improve Parking Solutions. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Piyush Sharma, Adrienne Raglin
2019	—	`conf`	IoT: Smart City Parking Solutions with Metric-Chisini-Jensen-Shannon Divergence based Kernels. MILCOM Piyush Sharma, Adrienne Raglin
2019	—	`conf`	Leveraging LoRaWAN to Support IoBT in Urban Environments. WF-IoT James Michaelis, Alessandro Morelli, Adrienne Raglin, Deryck James, Niranjan Suri
2019	—	`conf`	On the Use of Operations Research for Decision Making with Uncertainty for IoT Devices in Battlefield Situations. CIC Dawn A. Lott, Adrienne Raglin, Somiya Metu
2019	—	`conf`	Presentation of Information Uncertainty from IoBT for Military Decision Making. HCI (22) Adrienne Raglin
2018	Misc	`conf`	Between Multi-Attribute Utility Decision Making and Recommender Systems: Transparent, Instantaneous, Local Recommendations for Sparse Data. FLAIRS James Schaffer, James Michaelis, Adrienne Raglin, Stephen Russell
2018	C	`conf`	Efficacy of Nonlinear Manifold Learning in Malware Image Pattern Analysis. ICMLA Piyush Sharma, Adrienne Raglin
2018	—	`conf`	Fused Reasoning Under Uncertainty for Soldier Centric Human-Agent Decision Making. SSIAI Adrienne Raglin, Andre Harrison, Douglas Summers-Stay
2018	C	`conf`	Image-Audio Encoding for Information Camouflage and Improving Malware Pattern Analysis. ICMLA Piyush Sharma, Adrienne Raglin
2018	—	`conf`	MxR Framework for Uncertainty Based Explanation for Uncovering Adversarial Behavior. HCI (10) Adrienne Raglin, James Michaelis, Mark Dennison, Andre Harrison, Theron Trout, James Schaffer
2017	—	`ch.`	Human Information Interaction, Artificial Intelligence, and Errors. Autonomy and Artificial Intelligence Stephen Russell, Ira S. Moskowitz, Adrienne Raglin
2017	—	`conf`	Secrecy-Preserving Reasoning and Query Answering in Probabilistic Description Logic Knowledge Bases. GCAI Gopalakrishnan Krishnasamy Sivaprakasam, Adrienne Raglin, Douglas Summers-Stay, Giora Slutzki
2017	—	`conf`	The Analysis and Prediction of Eye Gaze When Viewing Statistical Graphs. HCI (14) Andre Harrison, Mark A. Livingston, Derek P. Brock, Jonathan W. Decker, Dennis Perzanowski, Christopher Van Dolson, Joseph Mathews, Alexander Lulushi, Adrienne Raglin