Two decades of AI research, on the record.
More than a hundred peer-reviewed papers from the Knexus team, published with collaborators across government, academia, and industry.
2025
Developing Synthetic Microdata through Machine Learning for the Annual Business Survey
Jorge Cisneros Paz, Timothy Wojan, Matthew Williams, Jennifer Ozawa, Robert Chew, Kimberly Janda, Timothy Navarro, Michael Floyd, Christine Task, Damon Streat
2025
Decision-Maker Alignment: Benchmark Datasets
Anik Sen, Rosina O. Weber, Christopher B. Rauch, Mallika Mainali, J.T. Turner, John Meyer, Michael W. Floyd, Matthew Molineaux
2025
Classical AI vs. LLMs for Decision-Maker Alignment in Health Insurance Choices
Mallika Mainali, Harsha Sureshbabu, Anik Sen, Christopher B. Rauch, John Meyer, J.T. Turner, Michael W. Floyd, Matthew Molineaux, Rosina Weber
2025
Levels of AI Memory – And Case-Based Ways for LLMs to Ascend Them
Michael W. Floyd, David Leake, David H. Ménager, Ian D. Watson, Kaitlynne Wilkerson
2025
Can Synthetic Microdata Preserve Cross Product Moments of Innovation Phenomena?
Jennifer Ozawa, Jorge Cisneros Paz, Matt Williams, Christine Task, Michael Floyd, Damon Streat
2025
Differential Privacy in ML: Protecting Sensitive Data in AI Systems
Lucas Doris (Knexus Research)
2024
Finding ε and δ of Traditional Disclosure Control Systems
Saswat Das, Keyu Zhu, Christine Task, Pascal Van Hentenryck, Ferdinando Fioretto
2024
Aligning to Human Decision-Makers in Military Medical Triage
Matthew Molineaux, Rosina O. Weber, Michael W. Floyd, David H. Ménager, Othalia Larue, Ursula Addison, Ray Kulhanek, Noah Reifsnyder, Christopher B. Rauch, Mallika Mainali, Anik Sen, Prateek Goel, Justin Karneeb, J. T. Turner, John Meyer
2024
Counterfactual-Based Synthetic Case Generation
Anik Sen, Mallika Mainali, Christopher B. Rauch, Ursula Addison, Michael W. Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David H. Ménager, Matthew Molineaux, J. T. Turner, Rosina O. Weber
2024
Algorithmic Decision-Making in Difficult Scenarios
Christopher B. Rauch, Ursula Addison, Michael Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David Ménager, Mallika Mainali, Matthew Molineaux, Adam Pease, Anik Sen, J.T. Turner, Rosina Weber
2024
Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes
Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto (Christine Task acknowledged)
2023
Diverse Community Data for Benchmarking Data Privacy Algorithms
Anik Sen, Christine Task, Dhruv Kapur, Gary Howarth, Karan Bhagat
2023
2023
Toward Defining a Domain Complexity Measure Across Domains
K. Doctor, Christine Task, E. Kildebeck, M. Kejriwal, L. Holder, R. Leong
2023
Privacy and Bias Analysis of Disclosure Avoidance Systems
Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck, Saswat Das, Christine Task
2023
The Collaborative Research Cycle
Christine Task, Karan Bhagat
2023
Data, Privacy, and the Interactions Between Them
2022
2022
Learning Decomposition Methods with Numeric Subtasks
Morgan Fine-Morris, Michael W. Floyd, Bryan Auslander, Greg Pennisi, Kalyan Moy Gupta, Mark Roberts, Jeff Heflin, Héctor Muñoz-Avila
2022
Activity Recognition and Explanation for Cancer Health Awareness
Hayley Borck, J. Ladwig, J. B. Mueller, S. Johnston, H. Wauck, R. Wheelock, et al.
2022
Integrating Transparency, Trust, and Acceptance: The Intelligent Systems Technology Model (ISTAM)
Eric S. Vorm, David J. Y. Combs
2021
HTN Learning via Transfer Learning of Domain Landmarks
Greg Pennisi, Morgan Fine-Morris, Michael W. Floyd, Bryan Auslander, Héctor Muñoz-Avila, Jeff Heflin, Kalyan Moy Gupta
2021
Learning Actions with Symbolic Literals and Continuous Effects for a Waypoint Navigation Simulation
Morgan Fine-Morris, Bryan Auslander, Héctor Muñoz-Avila, Kalyan Moy Gupta
2021
Challenge Design and Lessons Learned from the 2018 Differential Privacy Challenges
D. Ridgeway, M.F. Theofanos, T.W. Manley, Christine Task
2021
Self-directed Learning of Action Models using Exploratory Planning
Dustin Dannenhauer, Matthew Molineaux, Michael W. Floyd
2021
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Daniel Kifer, Philip Leclerc, William Sexton, Ashley Simpson, Christine Task, Pavel Zhuravlev
2021
Case-Based Reasoning Research and Development (ICCBR 2021 Workshop Proceedings)
Hayley Borck, Viktor Eisenstadt, Antonio Sanchez-Ruiz, Michael Floyd (Editors)
2020
Learning Hierarchical Task Networks with Landmarks and Numeric Fluents
Morgan Fine-Morris, Bryan Auslander, Michael W. Floyd, Greg Pennisi, Héctor Muñoz-Avila, et al.
2020
Exploiting Text Data to Improve Critical Care Mortality Prediction
Bryan Auslander, Kalyan Moy Gupta, Michael W. Floyd
2020
Crisis Collaborations: Challenges for Safe Data Sharing with Differential Privacy
D. Ridgeway, Christine Task, Gary Howarth, D. Van Ballegooijen
2020
Visual Computational Context: Using Compositions and Non-Target Pixels for Novel Class Discovery
J.T. Turner
2019
NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery
J.T. Turner, Michael W. Floyd, Kalyan Moy Gupta, Tim Oates
2019
A Fog Computing Model for Pervasive Connected Healthcare in Smart Environments
Philip Moore, Hai Van Pham
2018
Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks
J.T. Turner, Michael W. Floyd, Kalyan Moy Gupta, David W. Aha
2018
Distributed Discrepancy Detection for a Goal Reasoning Agent in Beyond-Visual-Range Air Combat
Justin Karneeb, Michael W. Floyd, Philip Moore, David W. Aha
2018
Investigating the Solution Space for Online Iterative Explanation in Goal Reasoning Agents
Christine Task, Mark A. Wilson, Matthew Molineaux, David W. Aha
2018
Goal Reasoning and Trusted Autonomy
Benjamin Johnson, Michael W. Floyd, Alexandra Coman, Mark A. Wilson, David W. Aha
2018
Explaining Rebel Behavior in Goal Reasoning Agents
Dustin Dannenhauer, Michael W. Floyd, Daniele Magazzeni, David W. Aha
2018
Goal Reasoning for Autonomous Underwater Vehicles: Responding to Unexpected Agents
Mark A. Wilson, James McMahon, Artur Wolek, David W. Aha, Brian H. Houston
2017
A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat
Michael W. Floyd, Justin Karneeb, Philip Moore, David W. Aha
2017
Using Deep Learning to Automate Feature Modeling in Learning by Observation
Michael W. Floyd, J.T. Turner, David W. Aha
2017
Case-Based Team Recognition Using Learned Opponent Models
Michael W. Floyd, Justin Karneeb, David W. Aha
2017
Using Explanations to Provide Transparency During Trust-Guided Behavior Adaptation
Michael W. Floyd, David W. Aha
2017
Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study
J.T. Turner, Michael W. Floyd
2016
Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks
Luke K. McDowell, David W. Aha
2016
Learning Trustworthy Behaviors Using an Inverse Trust Metric
Michael W. Floyd, Michael Drinkwater, David W. Aha
2016
Differentially Private Significance Testing on Paired-Sample Data
Christine Task, Chris Clifton
2016
Brief Case Study of the OPD Pulse Shooting LIVECAD Logs
Christine Task
2016
Semantic Classification of Utterances in a Language-Driven Game
Kellen Gillespie, Michael W. Floyd, Matthew Molineaux, Swaroop Vattam, David W. Aha
2016
Incorporating Transparency During Trust-Guided Behavior Adaptation
Michael W. Floyd, David W. Aha
2016
Keypoint Density-based Region Proposal for Fine-Grained Object Detection
J.T. Turner, Kalyan Moy Gupta, Brendan Morris, David W. Aha
2016
2016
Correcting Relational Bias to Improve Classification in Sparsely-Labeled Networks
Joshua R. King, Luke K. McDowell
2015
Trust-Guided Behavior Adaptation Using Case-Based Reasoning
Michael W. Floyd, Michael Drinkwater, David W. Aha
2015
Minimally Disruptive Schedule Repair for MCM Missions
Matthew Molineaux, Bryan Auslander, Philip Moore, Kalyan Moy Gupta
2015
Case-Based Behavior Recognition in Beyond Visual Range Air Combat
Hayley Borck, Justin Karneeb, Ron Alford, David W. Aha
2015
Active Behavior Recognition in Beyond Visual Range Air Combat
Hayley Borck, Justin Karneeb, Ron Alford, David W. Aha
2015
Case-Based Policy and Goal Recognition
Hayley Borck, Justin Karneeb, Michael W. Floyd, Ron Alford, David W. Aha
2015
Goal Reasoning for an Autonomous Squad Member
Kellen Gillespie, Matthew Molineaux, Michael W. Floyd, Swaroop Vattam, David W. Aha
2015
Convolutional Architecture Exploration for Action Recognition and Image Classification
J.T. Turner, David W. Aha, L. Smith, Kalyan Moy Gupta
2015
2015
Case-based Local and Global Percept Processing for Rebel Agents
Alexandra Coman, Kellen Gillespie, Hector Munoz-Avila
2014
Counting Triangles in Massive Graphs with MapReduce
Tamara G. Kolda, Ali Pinar, Todd Plantenga, C. Seshadhri, Christine Task
2014
How Much Do You Trust Me? Learning a Case-Based Model of Inverse Trust
Michael W. Floyd, Michael Drinkwater, David W. Aha
2014
What Should We Protect? Defining Differential Privacy for Social Network Analysis
Christine Task, Chris Clifton
2014
Case-Based Behavior Recognition to Facilitate Planning in Unmanned Air Vehicles
Hayley Borck, Justin Karneeb, Ron Alford, David W. Aha
2014
Iterative Goal Refinement for Robotics
Mark Roberts, Swaroop Vattam, Bryan Auslander, Justin Karneeb, Matthew Molineaux, et al.
2014
2014
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection
J.T. Turner, A. Page, T. Mohsenin, T. Oates
2014
Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods
J.T. Turner, A. Page, T. Mohsenin, T. Oates
2014
Adapting Autonomous Behavior Using an Inverse Trust Estimation
Michael W. Floyd, Michael Drinkwater, David W. Aha
2014
On the Role of Analogy in Resolving Cognitive Dissonance in Collaborative Interdisciplinary Design
Kellen Gillespie, Kalyan Moy Gupta, Michael Drinkwater
2013
Spatial Planning For Placement Command Understanding
Kalyan Moy Gupta, Kellen Gillespie, Justin Karneeb, Hayley Borck
2013
Goal-Driven Autonomy for Responding to Unexpected Events in Strategy Simulations
Matthew Klenk, Matthew Molineaux, David W. Aha
2013
Towards Applying Goal Autonomy for Vehicle Control
Mark A. Wilson, Bryan Auslander, Benjamin Johnson, Thomas Apker, James McMahon, David W. Aha
2013
Domain-Independent Heuristics for Goal Formulation
Mark A. Wilson, Matthew Molineaux, David W. Aha
2013
Breadth of Approaches to Goal Reasoning: A Research Survey
Swaroop Vattam, Matthew Klenk, Matthew Molineaux, David W. Aha
2012
A Guide to Differential Privacy Theory in Social Network Analysis
Christine Task, Chris Clifton
2012
DiscoverHistory: Understanding the Past in Planning and Execution
Matthew Molineaux, Ugur Kuter, Matthew Klenk
2012
Maritime Threat Detection using Plan Recognition
Bryan Auslander, Kalyan Moy Gupta, David W. Aha
2011
Discovery and Mediation Approaches for Management of Net-Centric Web Services
G. Alkhatib, F.E. Petry, R. Ladner, Philip Moore, R. Sween
2011
A Comparative Evaluation of Anomaly Detection Algorithms for Maritime Video Surveillance
Bryan Auslander, Kalyan Moy Gupta, David W. Aha
2011
Game AI for Domination Games
Chad Hogg, Stephen Lee-Urban, Bryan Auslander, Héctor Muñoz-Avila, Megan Smith
2011
2010
Goal-Driven Autonomy in a Navy Strategy Simulation
Matthew Molineaux, Matthew Klenk, David W. Aha
2010
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urban, Héctor Muñoz-Avila
2010
Applying Goal Driven Autonomy to a Team Shooter Game
Héctor Muñoz-Avila, David W. Aha, Ulit Jaidee, Matthew Klenk, Matthew Molineaux
2010
Comparison of global and local anomaly detection algorithms for maritime video surveillance
Bryan Auslander, Kalyan Moy Gupta, David W. Aha
2010
Meta-Prediction for Collective Classification
Luke K. McDowell, Kalyan Moy Gupta, David W. Aha
2009
Case-Based Collective Inference for Maritime Object Classification
Kalyan Moy Gupta, David W. Aha, Philip Moore
2009
Adaptive Maritime Video Surveillance
Kalyan Moy Gupta, David W. Aha, Ralph Hartley, Philip G. Moore
2009
Towards Research on Goal Reasoning with the TAO Sandbox
Bryan Auslander, Matthew Molineaux, David W. Aha, Quentin A. Pizzini
2009
Design of an Integrated Web Services Brokering System
Frederick Petry, Roy Ladner, Kalyan Moy Gupta, Philip Moore, David W. Aha, et al.
2009
2009
Learning Hierarchical Skills for Game Agents from Video of Human Behavior
Nan Li, David J. Stracuzzi, Gary Cleveland, Pat Langley, Tolga Könik, Dan Shapiro, Kamal Ali, Matthew Molineaux
2009
Improving offensive performance through opponent modeling
K. Laviers, G. Sukthankar, D. Aha, M. Molineaux
2009
2008
Soft Computing Techniques for Web Services Brokering
Roy Ladner, Frederick E. Petry, Kalyan Moy Gupta, Philip Moore, David W. Aha
2008
Enabling the Interoperability of Large-Scale Legacy Systems
Kalyan Moy Gupta, Mike Zang, Adam Gray, David W. Aha, Joe Kriege
2008
Learning Continuous Action Models in a Real-Time Strategy Environment
Matthew Molineaux, David W. Aha, Philip Moore
2008
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, Héctor Muñoz-Avila
2008
Discovering Feature Weights for Feature-based Indexing of Q-tables
Chad Hogg, Stephen Lee-Urban, Bryan Auslander, Héctor Muñoz-Avila
2008
2008
IMT: A Mixed-Initiative Data Mapping and Search Toolkit
Michael Zang, Adam Gray, Joe Kriege, Kalyan Moy Gupta, David W. Aha
2007
2007
Evaluation of Case-Based Classification to Support Automated Web Service Discovery and Brokering
Roy Ladner, Elizabeth Warner, Fred Petry, Kalyan Moy Gupta, Philip Moore, David W. Aha
2006
Rough Set Feature Selection Algorithms for Textual Case-Based Classification
Kalyan Moy Gupta, David W. Aha, Philip Moore
2006
Case-based classification alternatives to ontologies for automated web service discovery and integration
Roy Ladner, Elizabeth Warner, Frederick E. Petry, Kalyan Moy Gupta, Philip Moore, David W. Aha, Kevin Shaw
2006
A Testbed for Evaluating AI Research Systems in Commercial Games
David W. Aha, Matthew Molineaux, Philip Moore
2005
2005
Rough Set Feature Selection Methods for Case-Based Categorization of Text Documents
Kalyan Moy Gupta, Philip G. Moore, David W. Aha, Sankar K. Pal
2005
Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game
David W. Aha, Matthew Molineaux, Marc Ponsen
2005
2004
Learning Feature Taxonomies for Case Indexing
Kalyan Moy Gupta, David W. Aha, Philip G. Moore
2002
Exploiting Taxonomic and Causal Relations in Conversational Case Retrieval
Kalyan Moy Gupta, David W. Aha, Nabil Sandhu
2002
Causal Query Elaboration in Conversational Case-Based Reasoning
Kalyan Moy Gupta, David W. Aha, Nabil Sandhu
2001
Bridging the Lesson Distribution Gap
David W. Aha, Rosina Weber, Hector Munoz-Avila, Len Breslow, Kalyan Moy Gupta
Human expertise. Practical innovation.
Technology is evolving faster than organizations can adopt it. Knexus bridges that gap by transforming human expertise into trusted AI solutions that solve complex challenges and create lasting impact.