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Adrienne Raglin
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2020 – today
- 2024
- [c44]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: 104-113 - [c43]Adrienne Raglin:
Leveraging Generative AI Concepts with Uncertainty of Information Concept. HCI (52) 2024: 230-238 - [c42]Prabhat Kumar, Adrienne Raglin, John T. Richardson:
Surveying Computational Theory of Mind and a Potential Multi-agent Approach. HCI (51) 2024: 376-390 - [c41]Adrienne Raglin, Allison Newcomb, Lisa Scott:
Uncertainty of Information Applied to Network Monitoring Metrics. HCI (51) 2024: 403-410 - [c40]Atul Rawal
, Justine Rawal
, Adrienne Raglin:
Multi-Criteria Decision Making (MCDM) with Causal Reasoning for AI/ML Applications - A Survey. HCI (52) 2024: 439-448 - [i8]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:
SERN: Simulation-Enhanced Realistic Navigation for Multi-Agent Robotic Systems in Contested Environments. CoRR abs/2410.16686 (2024) - 2023
- [c39]Adrienne Raglin, Raha Moraffah:
Data Integrity and Artificial Reasoning. CogMI 2023: 93-96 - [c38]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: 274-285 - [c37]Thom Hawkins
, Justine Rawal
, Adrienne Raglin
:
Redundancy in Multi-source Information and Its Impact on Uncertainty. HCI (41) 2023: 335-345 - [c36]Adrienne Raglin, Allison Newcomb, Lisa Scott:
What Color is Your Swan? Uncertainty of Information Across Data. HCI (41) 2023: 383-388 - [c35]Adrienne Raglin, Somiya Metu:
AI Enabled Decision Support Framework. HCI (41) 2023: 389-394 - [c34]Prabhat Kumar, Adrienne Raglin, John T. Richardson:
General Agent Theory of Mind: Preliminary Investigations and Vision. HCI (41) 2023: 504-515 - [c33]Raha Moraffah
, Amir-Hossein Karimi
, Adrienne Raglin
, Huan Liu
:
Socially Responsible Machine Learning: A Causal Perspective. KDD 2023: 5819-5820 - 2022
- [c32]Adrienne Raglin, Sharon Sputz, Andrew Smyth:
Artificial Reasoning in the Streetscape. CogMI 2022: 35-39 - [c31]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: 290-301 - [c30]Bipendra Basnyat, Nirmalya Roy, Aryya Gangopadhyay, Adrienne Raglin:
Environmental Sound Classification for Flood Event Detection. Intelligent Environments 2022: 1-8 - [i7]Paras Sheth, Raha Moraffah, K. Selçuk Candan, Adrienne Raglin, Huan Liu:
Domain Generalization - A Causal Perspective. CoRR abs/2209.15177 (2022) - 2021
- [j3]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): 3041-3085 (2021) - [c29]Justine P. Caylor, Robert J. Hammell, Adrienne J. Raglin:
Preliminary Evaluation of Multi-criteria Decision-Making Methodology for Emergency Management. AHFE (7) 2021: 11-18 - [c28]Adrienne Raglin, Henry Hoffman, Mark R. Mittrick, Heather Zheng, Justine Caylor:
Artificial Reasoning Toward Goal-Oriented Adaptive Arrays of Sensors. CogMI 2021: 197-203 - [c27]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: 531-539 - [i6]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 abs/2102.05829 (2021) - [i5]Piyush K. Sharma, Adrienne Raglin:
Image-Audio Encoding to Improve C2 Decision-Making in Multi-Domain Environment. CoRR abs/2106.00787 (2021) - [i4]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 abs/2106.01497 (2021) - 2020
- [j2]Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu:
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. SIGKDD Explor. 22(1): 18-33 (2020) - [c26]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: 5643-5645 - [c25]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: 82-91 - [c24]Adrienne Raglin, Raha Moraffah, Huan Liu:
Causality and Uncertainty of Information for Content Understanding. CogMI 2020: 109-113 - [c23]Adrienne Raglin
, Somiya Metu
, Dawn A. Lott
:
Challenges of Simulating Uncertainty of Information. HCI (48) 2020: 255-261 - [c22]Adrienne Raglin
, Andre V. Harrison
:
Concept for Human and Computer to Determine Reason Based Scene Location. HCI (48) 2020: 351-358 - [c21]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: 4534-4540 - [i3]Raha Moraffah, Mansooreh Karami, Ruocheng Guo, Adrienne Raglin, Huan Liu:
Causal Interpretability for Machine Learning - Problems, Methods and Evaluation. CoRR abs/2003.03934 (2020) - [i2]Raha Moraffah, Bahman Moraffah, Mansooreh Karami, Adrienne Raglin, Huan Liu:
CAN: A Causal Adversarial Network for Learning Observational and Interventional Distributions. CoRR abs/2008.11376 (2020)
2010 – 2019
- 2019
- [c20]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: 234-248 - [c19]Adrienne Jeanisha Raglin, Dijiang Huang
, Huan Liu, James McCabe:
Smart CCR IoT: Internet of Things Testbed. CIC 2019: 232-235 - [c18]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: 266-297 - [c17]Adrienne Raglin:
Presentation of Information Uncertainty from IoBT for Military Decision Making. HCI (22) 2019: 39-47 - [c16]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: 428-440 - [c15]James Schaffer, John O'Donovan, James Michaelis, Adrienne Raglin, Tobias Höllerer:
I can do better than your AI: expertise and explanations. IUI 2019: 240-251 - [c14]Piyush Sharma, Adrienne Raglin:
IoT: Smart City Parking Solutions with Metric-Chisini-Jensen-Shannon Divergence based Kernels. MILCOM 2019: 324-330 - [c13]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: 1860-1865 - [c12]Adrienne Raglin, Anshuman Venkateswaran, Huan Liu:
Abductive Causal Reasoning for Internet of Things. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 1866-1869 - [c11]James Michaelis, Alessandro Morelli
, Adrienne Raglin, Deryck James, Niranjan Suri:
Leveraging LoRaWAN to Support IoBT in Urban Environments. WF-IoT 2019: 207-212 - [i1]Raha Moraffah, Kai Shu, Adrienne Raglin, Huan Liu:
Deep causal representation learning for unsupervised domain adaptation. CoRR abs/1910.12417 (2019) - 2018
- [c10]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 2018: 478-481 - [c9]Adrienne Raglin, James Michaelis, Mark Dennison, Andre V. Harrison
, Theron Trout, James Schaffer:
MxR Framework for Uncertainty Based Explanation for Uncovering Adversarial Behavior. HCI (10) 2018: 354-368 - [c8]Piyush Sharma, Adrienne Raglin:
Image-Audio Encoding for Information Camouflage and Improving Malware Pattern Analysis. ICMLA 2018: 1059-1064 - [c7]Piyush Sharma, Adrienne Raglin:
Efficacy of Nonlinear Manifold Learning in Malware Image Pattern Analysis. ICMLA 2018: 1095-1102 - [c6]Adrienne Raglin, Andre V. Harrison
, Douglas Summers-Stay:
Fused Reasoning Under Uncertainty for Soldier Centric Human-Agent Decision Making. SSIAI 2018: 1-4 - 2017
- [c5]Gopalakrishnan Krishnasamy Sivaprakasam, Adrienne Raglin, Douglas Summers-Stay, Giora Slutzki:
Secrecy-Preserving Reasoning and Query Answering in Probabilistic Description Logic Knowledge Bases. GCAI 2017: 188-201 - [c4]Andre V. 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: 148-165 - [p1]Stephen Russell, Ira S. Moskowitz, Adrienne Raglin:
Human Information Interaction, Artificial Intelligence, and Errors. Autonomy and Artificial Intelligence 2017: 71-101
2000 – 2009
- 2007
- [j1]Adrienne Jeanisha Raglin, Mohamed F. Chouikha:
Image segmentation utilizing the winner-take-all dynamics in a large-array opto-electronic feedback circuit. J. Electronic Imaging 16(2): 023004 (2007) - 2006
- [c3]Charles G. Boncelet Jr., Lisa M. Marvel, Adrienne Jeanisha Raglin:
Compression-based steganalysis of LSB embedded images. Security, Steganography, and Watermarking of Multimedia Contents 2006: 607207 - 2004
- [c2]Adrienne Jeanisha Raglin, Mohamed F. Chouikha:
Competitive dynamics and pattern formation in a large array of optoelectronic feedback circuit system. Image Processing: Algorithms and Systems 2004: 349-361 - 2002
- [c1]Adrienne Jeanisha Raglin, Mikhail A. Vorontsov, Mohamed F. Chouikha:
Winner take all in a large array of opto-electronic feedback circuits for image processing. ICIP (2) 2002: 349-352
Coauthor Index

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last updated on 2025-01-21 00:15 CET by the dblp team
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