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Publications & Patents

Publications

  • Developing Synthetic Microdata through Machine Learning for the Annual Business Survey (2025), Jorge Cisneros Paz, Timothy Wojan, Matthew Williams, Jennifer Ozawa, Robert Chew, Kimberly Janda, Timothy Navarro, Michael Floyd, Christine Task, Damon Streat, arXiv
  • Decision-Maker Alignment: Benchmark Datasets (2025), Anik Sen, Rosina O. Weber, Christopher B. Rauch, Mallika Mainali, J.T. Turner, John Meyer, Michael W. Floyd, Matthew Molineaux, IEEE Xplore
  • Classical AI vs. LLMs for Decision-Maker Alignment in Health Insurance Choices (2025), Mallika Mainali, Harsha Sureshbabu, Anik Sen, Christopher B. Rauch, John Meyer, J.T. Turner, Michael W. Floyd, Matthew Molineaux, Rosina Weber,(https://openreview.net/profile?id=~Michael_W._Floyd1)
  • Levels of AI Memory – And Case-Based Ways for LLMs to Ascend Them (2025), Michael W. Floyd, David Leake, David H. Ménager, Ian D. Watson, Kaitlynne Wilkerson,(https://www.google.com/search?q=https://dblp.org/rec/conf/iccbr/FloydLMWW25)
  • Can Synthetic Microdata Preserve Cross Product Moments of Innovation Phenomena? (2025), Jennifer Ozawa, Jorge Cisneros Paz, Matt Williams, Christine Task, Michael Floyd, Damon Streat,(https://easychair.org/smart-program/ATLC25/2025-05-15.html)
  • Differential Privacy in ML: Protecting Sensitive Data in AI Systems (2025), Lucas Doris (Knexus Research),(https://www.researchgate.net/publication/390131522_Differential_Privacy_in_ML_Protecting_Sensitive_Data_in_AI_Systems)
  • Finding ε and δ of Traditional Disclosure Control Systems (2024), Saswat Das, Keyu Zhu, Christine Task, Pascal Van Hentenryck, Ferdinando Fioretto, AAAI
  • Aligning to Human Decision-Makers in Military Medical Triage (2024), 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,(https://link.springer.com/chapter/10.1007/978-3-031-63695-0_24)
  • Counterfactual-Based Synthetic Case Generation (2024), 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,(https://link.springer.com/chapter/10.1007/978-3-031-63695-0_25)
  • Algorithmic Decision-Making in Difficult Scenarios (2024), 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, AAAI
  • Fairness Issues and Mitigations in (Differentially Private) Socio-demographic Data Processes (2024), Joonhyuk Ko, Juba Ziani, Saswat Das, Matt Williams, Ferdinando Fioretto (Christine Task acknowledged), AAAI
  • Diverse Community Data for Benchmarking Data Privacy Algorithms (2023), Anik Sen, Christine Task, Dhruv Kapur, Gary Howarth, Karan Bhagat,(https://proceedings.neurips.cc/paper_files/paper/2023/file/a15032f8199511ced4d7a8e2bbb487a5-Paper-Datasets_and_Benchmarks.pdf)
  • SDNist v2: Deidentified Data Report Tool (2023), Christine Task, Karan Bhagat, Gary Howarth,(https://www.google.com/search?q=https://doi.org/10.18434/mds2-2515)
  • Toward Defining a Domain Complexity Measure Across Domains (2023), K. Doctor, Christine Task, E. Kildebeck, M. Kejriwal, L. Holder, R. Leong, arXiv
  • Privacy and Bias Analysis of Disclosure Avoidance Systems (2023), Keyu Zhu, Ferdinando Fioretto, Pascal Van Hentenryck, Saswat Das, Christine Task, arXiv
  • NIST Excerpts Benchmark Data (2022), Christine Task, Karan Bhagat, Damon Streat, Gary Howarth,(https://data.nist.gov/od/id/mds2-2895)
  • Learning Decomposition Methods with Numeric Subtasks (2022), Morgan Fine-Morris, Michael W. Floyd, Bryan Auslander, Greg Pennisi, Kalyan Moy Gupta, Mark Roberts, Jeff Heflin, Héctor Muñoz-Avila,(https://advancesincognitivesystems.github.io/acs2022/data/acs22_paper-7677.pdf)
  • Activity Recognition and Explanation for Cancer Health Awareness (2022), Hayley Borck, J. Ladwig, J. B. Mueller, S. Johnston, H. Wauck, R. Wheelock, et al.,(https://ceur-ws.org/Vol-3388/paper15.pdf)
  • A Testbed for Evaluating AI Research Systems in Commercial Games (2021), David W. Aha, Matthew Molineaux, Philip Moore,(https://www.researchgate.net/publication/354830332_A_Testbed_for_Evaluating_AI_Research_Systems_in_Commercial_Games)
  • HTN Learning via Transfer Learning of Domain Landmarks (2021), Greg Pennisi, Morgan Fine-Morris, Michael W. Floyd, Bryan Auslander, Héctor Muñoz-Avila, Jeff Heflin, Kalyan Moy Gupta,(https://journals.flvc.org/FLAIRS/article/view/128456)
  • Learning Actions with Symbolic Literals and Continuous Effects for a Waypoint Navigation Simulation (2021), Morgan Fine-Morris, Bryan Auslander, Héctor Muñoz-Avila, Kalyan Moy Gupta,(https://link.springer.com/chapter/10.1007/978-3-030-55180-3_7)
  • Challenge Design and Lessons Learned from the 2018 Differential Privacy Challenges (2021), D. Ridgeway, M.F. Theofanos, T.W. Manley, Christine Task,(https://nvlpubs.nist.gov/nistpubs/TechnicalNotes/NIST.TN.2151.pdf)
  • Self-directed Learning of Action Models using Exploratory Planning (2021), Dustin Dannenhauer, Matthew Molineaux, Michael W. Floyd,(https://advancesincognitivesystems.github.io/acs2021/data/ACS-21_paper_29.pdf)
  • An Uncertainty Principle is a Price of Privacy-Preserving Microdata (2021), John M. Abowd, Robert Ashmead, Ryan Cumings-Menon, Simson Garfinkel, Daniel Kifer, Philip Leclerc, William Sexton, Ashley Simpson, Christine Task, Pavel Zhuravlev,(https://proceedings.neurips.cc/paper/2021/hash/6327b3223010f3c66072464736151c6e-Abstract.html)
  • Case-Based Reasoning Research and Development (ICCBR 2021 Workshop Proceedings) (2021), Hayley Borck, Viktor Eisenstadt, Antonio Sanchez-Ruiz, Michael Floyd (Editors),(https://ceur-ws.org/Vol-3017/)
  • Learning Hierarchical Task Networks with Landmarks and Numeric Fluents (2020), Morgan Fine-Morris, Bryan Auslander, Michael W. Floyd, Greg Pennisi, Héctor Muñoz-Avila, et al.,(https://www.cse.lehigh.edu/~munoz/Publications/ACS2020HTN.pdf)
  • Exploiting Text Data to Improve Critical Care Mortality Prediction (2020), Bryan Auslander, Kalyan Moy Gupta, Michael W. Floyd, IEEE Xplore
  • Crisis Collaborations: Challenges for Safe Data Sharing with Differential Privacy (2020), D. Ridgeway, Christine Task, Gary Howarth, D. Van Ballegooijen,(https://www.google.com/search?q=https://www.nist.gov/publications/crisis-collaborations-challenges-safe-data-sharing-differential-privacy)
  • Visual Computational Context: Using Compositions and Non-Target Pixels for Novel Class Discovery (2020), J.T. Turner,(https://www.google.com/search?q=https://scholarworks.umbc.edu/etd/962/)
  • NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery (2019), J.T. Turner, Michael W. Floyd, Kalyan Moy Gupta, Tim Oates,(https://www.google.com/search?q=https://link.springer.com/chapter/10.1007/978-3-030-29249-2_28)
  • A Fog Computing Model for Pervasive Connected Healthcare in Smart Environments (2019), Philip Moore, Hai Van Pham, Inderscience
  • Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks (2018), J.T. Turner, Michael W. Floyd, Kalyan Moy Gupta, David W. Aha,(https://link.springer.com/chapter/10.1007/978-3-030-01081-2_28)
  • Distributed Discrepancy Detection for a Goal Reasoning Agent in Beyond-Visual-Range Air Combat (2018), Justin Karneeb, Michael W. Floyd, Philip Moore, David W. Aha,(https://content.iospress.com/articles/ai-communications/aic180757)
  • Investigating the Solution Space for Online Iterative Explanation in Goal Reasoning Agents (2018), Christine Task, Mark A. Wilson, Matthew Molineaux, David W. Aha,(https://content.iospress.com/articles/ai-communications/aic180759)
  • Goal Reasoning and Trusted Autonomy (2018), Benjamin Johnson, Michael W. Floyd, Alexandra Coman, Mark A. Wilson, David W. Aha,(https://link.springer.com/chapter/10.1007/978-3-319-64816-3_3)
  • Explaining Rebel Behavior in Goal Reasoning Agents (2018), Dustin Dannenhauer, Michael W. Floyd, Daniele Magazzeni, David W. Aha, arXiv
  • Goal Reasoning for Autonomous Underwater Vehicles: Responding to Unexpected Agents (2018), Mark A. Wilson, James McMahon, Artur Wolek, David W. Aha, Brian H. Houston,(https://www.google.com/search?q=https://content.iospress.com/articles/ai-communications/aic180755)
  • A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat (2017), Michael W. Floyd, Justin Karneeb, Philip Moore, David W. Aha, IJCAI
  • Using Deep Learning to Automate Feature Modeling in Learning by Observation (2017), Michael W. Floyd, J.T. Turner, David W. Aha, AAAI
  • Case-Based Team Recognition Using Learned Opponent Models (2017), Michael W. Floyd, Justin Karneeb, David W. Aha,(https://link.springer.com/chapter/10.1007/978-3-319-61030-6_7)
  • Using Explanations to Provide Transparency During Trust-Guided Behavior Adaptation (2017), Michael W. Floyd, David W. Aha,(https://content.iospress.com/articles/ai-communications/aic722)
  • Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study (2017), J.T. Turner, Michael W. Floyd, AAAI
  • Using Deep Learning to Automate Feature Modeling in Learning by Observation (2017), J.T. Turner, Michael W. Floyd,(https://journals.flvc.org/FLAIRS/article/view/89530)
  • Leveraging Neighbor Attributes for Classification in Sparsely Labeled Networks (2016), Luke K. McDowell, David W. Aha, ACM
  • Learning Trustworthy Behaviors Using an Inverse Trust Metric (2016), Michael W. Floyd, Michael Drinkwater, David W. Aha,(https://www.google.com/search?q=https://link.springer.com/chapter/10.1007/978-1-4899-7668-0_3)
  • Differentially Private Significance Testing on Paired-Sample Data (2016), Christine Task, Chris Clifton,(https://www.google.com/search?q=https://epubs.siam.org/doi/abs/10.1137/1.9781611974348.18)
  • Brief Case Study of the OPD Pulse Shooting LIVECAD Logs (2016), Christine Task,(https://www.google.com/search?q=https://knexus.ai/2024/02/brief-case-study-of-the-opd-pulse-shooting-livecad-logs/)
  • Semantic Classification of Utterances in a Language-Driven Game (2016), Kellen Gillespie, Michael W. Floyd, Matthew Molineaux, Swaroop Vattam, David W. Aha,(https://www.researchgate.net/publication/316578200_Semantic_Classification_of_Utterances_in_a_Language-Driven_Game)
  • Incorporating Transparency During Trust-Guided Behavior Adaptation (2016), Michael W. Floyd, David W. Aha,(https://link.springer.com/chapter/10.1007/978-3-319-47096-2_9)
  • Keypoint Density-based Region Proposal for Fine-Grained Object Detection (2016), J.T. Turner, Kalyan Moy Gupta, Brendan Morris, David W. Aha, IEEE Xplore
  • SPARCNN: SPAtially Related Convolutional Neural Networks (2016), J.T. Turner, IEEE Xplore
  • Correcting Relational Bias to Improve Classification in Sparsely-Labeled Networks (2016), Joshua R. King, Luke K. McDowell,(https://www.researchgate.net/publication/309121733_Correcting_Relational_Bias_to_Improve_Classification_in_Sparsely-Labeled_Networks)
  • Trust-Guided Behavior Adaptation Using Case-Based Reasoning (2015), Michael W. Floyd, Michael Drinkwater, David W. Aha, IJCAI
  • Minimally Disruptive Schedule Repair for MCM Missions (2015), Matthew Molineaux, Bryan Auslander, Philip Moore, Kalyan Moy Gupta,(https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9454/945404/Minimally-disruptive-schedule-repair-for-MCM-missions/10.1117/12.2177070.short)
  • Case-Based Behavior Recognition in Beyond Visual Range Air Combat (2015), Hayley Borck, Justin Karneeb, Ron Alford, David W. Aha, AAAI
  • Active Behavior Recognition in Beyond Visual Range Air Combat (2015), Hayley Borck, Justin Karneeb, Ron Alford, David W. Aha,(http://www.cogsys.org/papers/2015/paper-4.pdf)
  • Case-Based Policy and Goal Recognition (2015), Hayley Borck, Justin Karneeb, Michael W. Floyd, Ron Alford, David W. Aha,(https://link.springer.com/chapter/10.1007/978-3-319-24586-7_3)
  • Goal Reasoning for an Autonomous Squad Member (2015), Kellen Gillespie, Matthew Molineaux, Michael W. Floyd, Swaroop Vattam, David W. Aha,(https://www.researchgate.net/publication/283348827_Goal_Reasoning_for_an_Autonomous_Squad_Member)
  • Convolutional Architecture Exploration for Action Recognition and Image Classification (2015), J.T. Turner, David W. Aha, L. Smith, Kalyan Moy Gupta, arXiv
  • Case Based Disruption Monitoring (2015), Joseph Kann, Matthew Molineaux, Bryan Auslander,(http://ceur-ws.org/Vol-1520/paper6.pdf)
  • Case-based Local and Global Percept Processing for Rebel Agents (2015), Alexandra Coman, Kellen Gillespie, Hector Munoz-Avila,(http://ceur-ws.org/Vol-1520/paper3.pdf)
  • Counting Triangles in Massive Graphs with MapReduce (2014), Tamara G. Kolda, Ali Pinar, Todd Plantenga, C. Seshadhri, Christine Task,(https://epubs.siam.org/doi/10.1137/130914663)
  • How Much Do You Trust Me? Learning a Case-Based Model of Inverse Trust (2014), Michael W. Floyd, Michael Drinkwater, David W. Aha,(https://link.springer.com/chapter/10.1007/978-3-319-11209-1_10)
  • What Should We Protect? Defining Differential Privacy for Social Network Analysis (2014), Christine Task, Chris Clifton,(https://link.springer.com/chapter/10.1007/978-3-319-05912-9_7)
  • Case-Based Behavior Recognition to Facilitate Planning in Unmanned Air Vehicles (2014), Hayley Borck, Justin Karneeb, Ron Alford, David W. Aha,(https://apps.dtic.mil/sti/pdfs/AD1001619.pdf)
  • Iterative Goal Refinement for Robotics (2014), Mark Roberts, Swaroop Vattam, Bryan Auslander, Justin Karneeb, Matthew Molineaux, et al., AAAI
  • Learning Unknown Event Models (2014), Matthew Molineaux, David W. Aha, AAAI
  • Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection (2014), J.T. Turner, A. Page, T. Mohsenin, T. Oates, AAAI
  • Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods (2014), J.T. Turner, A. Page, T. Mohsenin, T. Oates, AAAI
  • Adapting Autonomous Behavior Using an Inverse Trust Estimation (2014), Michael W. Floyd, Michael Drinkwater, David W. Aha,(https://apps.dtic.mil/sti/pdfs/ADA602861.pdf)
  • On the Role of Analogy in Resolving Cognitive Dissonance in Collaborative Interdisciplinary Design (2014), Kellen Gillespie, Kalyan Moy Gupta, Michael Drinkwater,(https://link.springer.com/chapter/10.1007/978-3-319-11209-1_14)
  • Spatial Planning For Placement Command Understanding (2013), Kalyan Moy Gupta, Kellen Gillespie, Justin Karneeb, Hayley Borck,(https://www.google.com/search?q=http://www.cogsys.org/papers/2013/p7.pdf)
  • Goal-Driven Autonomy for Responding to Unexpected Events in Strategy Simulations (2013), Matthew Klenk, Matthew Molineaux, David W. Aha,(https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1467-8640.2012.00445.x)
  • Towards Applying Goal Autonomy for Vehicle Control (2013), Mark A. Wilson, Bryan Auslander, Benjamin Johnson, Thomas Apker, James McMahon, David W. Aha,(https://www.google.com/search?q=https://www.nrl.navy.mil/content_images/13AR_Aha.pdf)
  • Domain-Independent Heuristics for Goal Formulation (2013), Mark A. Wilson, Matthew Molineaux, David W. Aha, AAAI
  • Breadth of Approaches to Goal Reasoning: A Research Survey (2013), Swaroop Vattam, Matthew Klenk, Matthew Molineaux, David W. Aha,(http://www.cogsys.org/papers/2013/p8.pdf)
  • A Guide to Differential Privacy Theory in Social Network Analysis (2012), Christine Task, Chris Clifton, IEEE Xplore
  • DiscoverHistory: Understanding the Past in Planning and Execution (2012), Matthew Molineaux, Ugur Kuter, Matthew Klenk,(https://www.google.com/search?q=https://www.researchgate.net/publication/254464047_DiscoverHistory_Understanding_the_Past_in_Planning_and_Execution)
  • Maritime Threat Detection using Plan Recognition (2012), Bryan Auslander, Kalyan Moy Gupta, David W. Aha, IEEE Xplore
  • Discovery and Mediation Approaches for Management of Net-Centric Web Services (2011), G. Alkhatib, F.E. Petry, R. Ladner, Philip Moore, R. Sween, IGI Global
  • A Comparative Evaluation of Anomaly Detection Algorithms for Maritime Video Surveillance (2011), Bryan Auslander, Kalyan Moy Gupta, David W. Aha,(https://www.spiedigitallibrary.org/conference-proceedings-of-spie/8019/801907/A-comparative-evaluation-of-anomaly-detection-algorithms-for-maritime-video/10.1117/12.883535.short)
  • Game AI for Domination Games (2011), Chad Hogg, Stephen Lee-Urban, Bryan Auslander, Héctor Muñoz-Avila, Megan Smith,(https://www.researchgate.net/publication/220627794_Game_AI_for_Domination_Games)
  • The case for case-based transfer learning (2011), Matthew Klenk, David W. Aha, Matthew Molineaux, AAAI
  • Goal-Driven Autonomy in a Navy Strategy Simulation (2010), Matthew Molineaux, Matthew Klenk, David W. Aha, AAAI
  • Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation (2010), Kellen Gillespie, Justin Karneeb, Stephen Lee-Urban, Héctor Muñoz-Avila,(https://link.springer.com/chapter/10.1007/978-3-642-14274-1_11)
  • Applying Goal Driven Autonomy to a Team Shooter Game (2010), Héctor Muñoz-Avila, David W. Aha, Ulit Jaidee, Matthew Klenk, Matthew Molineaux, AAAI
  • Comparison of global and local anomaly detection algorithms for maritime video surveillance (2010), Bryan Auslander, Kalyan Moy Gupta, David W. Aha,(https://apps.dtic.mil/sti/citations/ADA552764)
  • Meta-Prediction for Collective Classification (2010), Luke K. McDowell, Kalyan Moy Gupta, David W. Aha,(https://apps.dtic.mil/sti/tr/pdf/ADA553104.pdf)
  • Case-Based Collective Inference for Maritime Object Classification (2009), Kalyan Moy Gupta, David W. Aha, Philip Moore,(https://link.springer.com/chapter/10.1007/978-3-642-02998-1_11)
  • Adaptive Maritime Video Surveillance (2009), Kalyan Moy Gupta, David W. Aha, Ralph Hartley, Philip G. Moore,(https://www.spiedigitallibrary.org/conference-proceedings-of-spie/7305/73050C/Adaptive-maritime-video-surveillance/10.1117/12.818174.short)
  • Towards Research on Goal Reasoning with the TAO Sandbox (2009), Bryan Auslander, Matthew Molineaux, David W. Aha, Quentin A. Pizzini,(https://www.researchgate.net/publication/267807604_Towards_Research_on_Goal_Reasoning_with_the_TAO_Sandbox)
  • Design of an Integrated Web Services Brokering System (2009), Frederick Petry, Roy Ladner, Kalyan Moy Gupta, Philip Moore, David W. Aha, et al., IGI Global
  • Cautious Collective Classification (2009), Luke K. McDowell, Kalyan Moy Gupta, David W. Aha,(https://www.google.com/search?q=https://www.jmlr.org/papers/v10/mcdowell09a.html)
  • Learning Structural Knowledge from Observations (2009), Nan Li, David Stracuzzi, Matthew Molineaux, David W. Aha,(https://apps.dtic.mil/sti/html/tr/ADA593080/index.html)
  • Improving offensive performance through opponent modeling (2009), K. Laviers, G. Sukthankar, D. Aha, M. Molineaux, AAAI
  • Case-based reasoning in transfer learning (2009), David W. Aha, Matthew Molineaux, Gita Sukthankar,(https://link.springer.com/chapter/10.1007/978-3-642-02998-1_3)
  • Soft Computing Techniques for Web Services Brokering (2008), Roy Ladner, Frederick E. Petry, Kalyan Moy Gupta, Philip Moore, David W. Aha,(https://link.springer.com/article/10.1007/s00500-007-0248-z)
  • Enabling the Interoperability of Large-Scale Legacy Systems (2008), Kalyan Moy Gupta, Mike Zang, Adam Gray, David W. Aha, Joe Kriege, AAAI
  • Learning Continuous Action Models in a Real-Time Strategy Environment (2008), Matthew Molineaux, David W. Aha, Philip Moore, AAAI
  • Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning (2008), Bryan Auslander, Stephen Lee-Urban, Chad Hogg, Héctor Muñoz-Avila,(https://link.springer.com/chapter/10.1007/978-3-540-85502-6_5)
  • Discovering Feature Weights for Feature-based Indexing of Q-tables (2008), Chad Hogg, Stephen Lee-Urban, Bryan Auslander, Héctor Muñoz-Avila, AAAI
  • A Model for Communication in Clusters of Multi-core Machines (2008), Christine Task, Arun Chauhan, IEEE Xplore
  • IMT: A Mixed-Initiative Data Mapping and Search Toolkit (2008), Michael Zang, Adam Gray, Joe Kriege, Kalyan Moy Gupta, David W. Aha, AAAI
  • Case-Based Collective Classification (2007), Luke K. McDowell, Kalyan Moy Gupta, David W. Aha, AAAI
  • Evaluation of Case-Based Classification to Support Automated Web Service Discovery and Brokering (2007), Roy Ladner, Elizabeth Warner, Fred Petry, Kalyan Moy Gupta, Philip Moore, David W. Aha,(https://www.spiedigitallibrary.org/conference-proceedings-of-spie/6578/1/An-evaluation-of-case-based-classification-to-support-automated-web/10.1117/12.714254.short)
  • Rough Set Feature Selection Algorithms for Textual Case-Based Classification (2006), Kalyan Moy Gupta, David W. Aha, Philip Moore,(https://link.springer.com/chapter/10.1007/11805816_12)
  • Case-based classification alternatives to ontologies for automated web service discovery and integration (2006), Roy Ladner, Elizabeth Warner, Frederick E. Petry, Kalyan Moy Gupta, Philip Moore, David W. Aha, Kevin Shaw,(https://www.spiedigitallibrary.org/conference-proceedings-of-spie/6201/1/Case-based-classification-alternatives-to-ontologies-for-automated-web-service/10.1117/12.663327.short)
  • A Testbed for Evaluating AI Research Systems in Commercial Games (2006), David W. Aha, Matthew Molineaux, Philip Moore, AAAI
  • Automating Planning Using Natural Language (2005), Kalyan Moy Gupta, David W. Aha, AAAI
  • Rough Set Feature Selection Methods for Case-Based Categorization of Text Documents (2005), Kalyan Moy Gupta, Philip G. Moore, David W. Aha, Sankar K. Pal,(https://link.springer.com/chapter/10.1007/11590316_81)
  • Learning to Win: Case-Based Plan Selection in a Real-Time Strategy Game (2005), David W. Aha, Matthew Molineaux, Marc Ponsen,(https://link.springer.com/chapter/10.1007/11536406_5)
  • TIELT: A Testbed for Gaming Environments (2005), Matthew Molineaux, David W. Aha, AAAI
  • Learning Feature Taxonomies for Case Indexing (2004), Kalyan Moy Gupta, David W. Aha, Philip G. Moore,(https://link.springer.com/chapter/10.1007/978-3-540-28631-8_16)
  • Exploiting Taxonomic and Causal Relations in Conversational Case Retrieval (2002), Kalyan Moy Gupta, David W. Aha, Nabil Sandhu,(https://link.springer.com/chapter/10.1007/3-540-46119-1_11)
  • Causal Query Elaboration in Conversational Case-Based Reasoning (2002), Kalyan Moy Gupta, David W. Aha, Nabil Sandhu, AAAI
  • Bridging the Lesson Distribution Gap (2001), David W. Aha, Rosina Weber, Hector Munoz-Avila, Len Breslow, Kalyan Moy Gupta, IJCAI
PATENTS & DISCLOSURE

Patents & Disclosures

Since our founding in 2006, the scientists and engineers at Knexus have secured multiple patents to protect their original intellectual property and methodologies.

Gupta, K.M, (2021). System and Method for Temporal Expression Processing. U.S. Patent 10956680B1.

Gupta, K.M. (2016). System and Method for Enhancing Locative Response Abilities of Autonomous and Semi-Autonomous Agents. U.S. Patent 9542930B2.
Gupta, K.M. (2014). System and Method for Virtual Object Placement. U.S. Patent US-8893048-B2.

Warner, E., Ladner, R., Petry, F., Aha, D.W., Gupta, K.M., and Moore, P.G. (2012). System and method for web service discovery and access. U.S. Patent US-8209407-B2.

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