OUR AI & ML PRODUCTS

PUBLICATIONS

Knexus Research’s four-stage process of innovation generates a wealth of groundbreaking new knowledge – and we are eager to share it.

Our vast trove of published research reveals how our work enriches the world by solving problems, creating never-before-imagined products, and advancing humankind into the outermost reaches of technological innovation.

PATENTS AND DISCLOSURES

Since our founding in 2006, the scientists and engineers of Knexus Research have secured multiple patents to protect their original intellectual property and methodologies. Among them:

  • Warner, E., Ladner, R., Petry, F., Aha, D.W., Gupta, K.M., and Moore, P.G. (2012). Advanced MetOc Broker. U.S. Patent 60/774,808.
  • Karneeb, J., Drinkwater, M., Gillespie, K., Borck, H., and Gupta, K.M. (2013). System and Method for Learning to Place Objects, U.S. Patent Pending Application # US 61/838,484.
  • Gupta, K.M. (2014). System and Method for Virtual Object Placement, U.S. Patent 8,893048 B2, November 18, 2014.
  • Gupta, K.M. (2016). System and Method for Enhancing Locative Response Abilities of Autonomous and Semi-Autonomous Agents, US 2012/0306741 A1, November 18, 2016.
  • Gupta, K.M, (2018). System and Method for Temporal Expression Processing, US Patent Application#: 16148353.
  •  To, S., Gupta, K.M. (2018). System and Method for Hierarchical Metric Temporal Planning and Re-Planning,  US Patent Application#: 16042687.
Year:
Topic:
2023
Task, C. & Bhagat, K. (2023, February 13). The Collaborative Research Cycle [PowerPoint presentation]. Privacy Preserving Artificial Intelligence Workshop (PPAI-23), Association for the Advancement of Artificial Intelligence Conference, Washington, DC, United States. https://knexusresearch.com/wp-content/uploads/2023/02/Collaborative-Research-Cycle.pdf
2022
Task, C. [Purdue CERIAS]. (2022, November 9). “Data, Privacy, and the Interactions Between Them.” [Video]. YouTube. https://www.youtube.com/watch?v=vRjgzWrR4Qk&t=3s
Doctor, K., Task, C., Kildebeck, E., Kejriwal, M., Holder, L., and Leong, R. (2022). Toward Defining a Domain Complexity Measure Across Domains. Designing Artificial Intelligence for Open Worlds (AAAI Spring Symposium Series), Palo Alto, California, USA, March 21-23. https://usc-isi-i2.github.io/AAAI2022SS/papers/SSS-22_paper_79.pdf
Vorm, E.S. and Combs, D.J.Y. (2022). Integrating Transparency, Trust, and Acceptance: The Intelligent Systems Technology Model (ISTAM). International Journal of Human–Computer Interaction, DOI: 10.1080/10447318.2022.2070107.
Fine-Morris, M., Floyd, M.W., Auslander, B., Pennisi, G., Gupta, K.M., Roberts, M., Heflin, J., and Munoz-Avila, H. (2022). Learning Decomposition Methods with Numeric Landmarks and Numeric Preconditions. In Proceedings of the 5th Workshop on Hierarchical Planning (held at the 32nd International Conference on Automated Planning and Scheduling).
2021
Task, C. [Ferdinando Fioretto]. (2021, February 15). “Differential Privacy: Implementation, deployment, and receptivity. Where are we and what are we missing?” [Video]. YouTube. https://www.youtube.com/watch?v=GlKB8xwXMSE
Lothe, G., Task, C., Slavitt, I., Grislain, N., Bhagat, K., and Howarth, G.S. (2022). SDNIST: Benchmark Data and Evaluation Tools for Data Synthesizers. Third AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-22), February 28. https://github.com/usnistgov/SDNist/blob/main/SDNist_introduction_paper_PPAI22.pdf
Abowd, J., Ashmead, R., Cumings-Menon, R., Garfinkel, S., Kifer, D., Leclerc, P., Sexton, W., Simpson, A., Task, C., and Zhuralev, P. (2021). An Uncertainty Principle is a Price of Privacy-Preserving Microdata. Advances in Neural Information Processing Systems, 34, pre-proceedings (NeurIPS Proceedings).
Borck, H., Eisenstadt, V., Sanchez-Ruiz, A.A., and Floyd, M.W. (2021). Preface – ICCBR 2021 Workshops. In Proceedings of the 29st International Conference on Case-Based Reasoning Workshops, Salamanca, Spain, September 13-16, 1.
Borck, H., Eisenstadt, V., Sanchez-Ruiz, A.A., and Floyd, M.W. (Eds.) (2021). Proceedings of the 29th International Conference on Case-Based Reasoning Workshops, Salamanca, Spain, September 13-16.
Sanchez-Ruiz, A.A., and Floyd, M.W. (2021). Preface – ICCBR 2021. In Proceedings of the 29th International Conference on Case-Based Reasoning, Salamanca, Spain, September 13-16, v-vi.
Sanchez-Ruiz, A.A., and Floyd, M.W. (Eds.) (2021). Proceedings of the 29th International Conference, Salamanca, Spain, September 13-16.
Dannenhauer, D., Dannenhauer, Z.A., Decker, J., Amos-Binks, A., Floyd, M.W., and Aha D.W. (2021). dcss-ai-wrapper: An API for Dungeon Crawl Stone Soup providing both Vector and Symbolic State Representations. In Proceedings of the Planning and Reinforcement Learning Workshop (held at the International Conference on Automated Planning and Scheduling), Guangzhou, China.
Pennisi, G., Fine-Morris, M., Floyd, M.W., Auslander, B., Munoz-Avila, H., Heflin, J., and Gupta, K.M. (2021). HTN Learning via Transfer Learning of Domain Landmarks. In Proceedings of the 34th International Florida Artificial Intelligence Research Society Conference, North Miami Beach, Florida, USA, May 17-19.
Dannenhauer, D., Molineaux, M., Floyd, M.W., Reifsnyder, N., and Aha, D.W. (2021). Self-directed Learning of Action Models using Exploratory Planning. In Proceedings of the 9th Advances in Cognitive Systems Conference.
2020
Task, C. [COPAFS email]. (2020, August 16). “Evaluation and Tuning Insights from the ACS Fully Synthetic Data Generator.” [Video]. YouTube. https://www.youtube.com/watch?v=6d75SfMyIKM
Fine-Morris, M., Auslander, B., Floyd, M.W., Pennisi, G., Munoz-Avila, H., and Gupta, K.M. (2020). Learning Hierarchical Task Networks with Landmarks and Numeric Fluents by Combining Symbolic and Numeric Regression. In Proceedings of the 8th Annual Conference on Advances in Cognitive Systems, Palo Alto, California, USA, August 10-12. Cognitive Systems Foundation.
Auslander, B., Gupta, K.M., Floyd, M.W., Blisard, S., and Aha, D.W. (2020). Exploiting Text Data to Improve Critical Care Mortality Prediction.
Floyd, M.W., and Massie, S. (Eds.) (2020). Proceedings of the 28th International Conference on Case-Based Reasoning Doctoral Consortium, Online, June 8-11.
Massie, S., and Floyd, M.W. (2020). Preface – ICCBR Doctoral Consortium 2020. In Proceedings of the 28th International Conference on Case-Based Reasoning Doctoral Consortium, Online, June 8-11, 1.
2019
Task, C. [Simons Institute]. (2019, March 6). “What all we’ve been up to at Knexus Research.” [Video]. YouTube. https://www.youtube.com/watch?v=8XU6zbJTFY0
Task, C. [KALTURA]. (2019, July 10). “Data Sharing & Differential Privacy: Imagine a world where data is shared safely.” [Video]. NIST 2019 Stakeholder Meeting Analytics Sessions. https://cdnapisec.kaltura.com/index.php/extwidget/preview/partner_id/684682/uiconf_id/31013851/entry_id/1_yn4fvmlt/embed/dynamic
Turner, J.T., Floyd, M.W., Gupta, K.M., and Oates, T. (2019). NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery. In Proceedings of the 27th International Conference on Case-Based Reasoning, Otzenhausen, Germany, September 8-12, 373-387. Springer.
Sanchez-Ruiz, A.A., and Floyd, M.W. (Eds.) (2019). Papers from the ICCBR Doctoral Consortium 2019. In Borck, H., and Kapetanakis, S. (Eds.) Proceedings of the 27th International Conference on Case-Based Reasoning Workshops, Otzenhausen, Germany, September 8-12.
Sanchez-Ruiz, A.A., and Floyd, M.W. (2019). Preface – ICCBR Doctoral Consortium 2019. In Proceedings of the 27th International Conference on Case-Based Reasoning Workshops, Otzenhausen, Germany, September 8-12.
Wright, B., Floyd, M.W., Dannenhauer, D., and Aha, D.W. (2019). The Game of Fluxx: A Benchmark for Goal Reasoning. In Proceedings of the Workshop on Goal Reasoning (held at the 7th Annual Conference on Advances in Cognitive Systems), Cambridge, USA, August 2-5.
Dannenhauer, D., Floyd, M.W., Decker, J., and Aha, D.W. (2019). Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence. In Proceedings of the Workshop on Games and Simulations for Artificial Intelligence (held at the 33rd AAAI Conference on Artificial Intelligence), Honolulu, USA, January 27 – February 1.
2018
O’Connor, D., Kapetanakis, S., Samakovitis, G., Floyd, M.W., Ontanon, S., and Petridis, M. (2018). Autonomous Swarm Agents Using Case-Based Reasoning. In Proceedings of the 38th SGAI International Conference on Artificial Intelligence, Cambridge, England, UK, December 11-13, 210-216. Springer.
Dannenhauer, D., Floyd, M.W., Magazzeni, D., and Aha, D.W. (2018). Explaining Rebel Behavior in Goal Reasoning Agents. In Proceedings of the Workshop on Explainable AI Planning (held at the 28th International Conference on Automated Planning and Scheduling), Delft, The Netherlands, June 24-29, 12-18. Also published as: Dannenhauer, D., Floyd, M.W., Magazzeni, D., and Aha, D.W. (2018). Explaining Rebel Behavior in Goal Reasoning Agents. In Proceedings of the Workshop on Goal Reasoning (held at the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence), Stockholm, Sweden, July 13-19, to appear.
Floyd, M.W., Roberts, M., and Aha, D.W. (2018). Hybrid Goal Selection and Planning in a Goal Reasoning Agent Using Partially Specified Preferences. In Proceedings of the Workshop on Goal Reasoning (held at the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence), Stockholm, Sweden, July 13-19, to appear.
Boggs, J., Dannenhauer, D., Floyd, M.W., and Aha, D.W. (2018). The Ideal Rebellion: Maximizing Task Performance in Rebel Agents. In Proceedings of the Workshop on Goal Reasoning (held at the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence), Stockholm, Sweden, July 13-19, to appear.
Dannenhauer, D., Floyd, M.W., Molineaux, M., and Aha, D.W. (2018). Learning from Exploration: Towards an Explainable Goal Reasoning Agent. In Proceedings of the Workshop on Adaptive Learning Agents (held at the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence), Stockholm, Sweden, July 13-19.
Turner, J.T., Floyd, M.W., Gupta, K.M., and Aha, D.W. (2018). Novel Object Discovery using Case-Based Reasoning and Convolutional Neural Networks. In Proceedings of the 26th International Conference on Case-Based Reasoning, Stockholm, Sweden, July 9-12, 399-414. Springer.
Floyd, M.W., and Esfandiari, B. (2018). Supplemental Observation Acquisition for Learning by Observation Agents. Applied Intelligence, 48(11), 4338-4354.
Floyd, M.W., and Schack, B. (to appear). Preface – ICCBR Video Competition 2018. In Proceedings of the 26th International Conference on Case-Based Reasoning Workshops, Stockholm, Sweden, July 9-12, to appear.
Floyd, M.W., and Schack, B. (Eds.) (2018). Abstracts from the ICCBR Video Competition 2018. In Minor, M. (Ed.) Proceedings of the 26th International Conference on Case-Based Reasoning Workshops, Stockholm Sweden, July 9-12.
Kapetanakis, S., and Floyd, M.W. (2018). Preface – Special Track on Case-Based Reasoning. In Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, Melbourne, Florida, USA, May 21-23, 370. AAAI Press.
Kapetanakis, S., and Floyd, M.W. (Eds.) (2018). Special Track on Case-Based Reasoning. In Brawner, K., and Rus, V. (Eds.) Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, Melbourne, Florida, USA, May 21-23, AAAI Press.
Karneeb, J., Floyd, M.W., Moore, P., and Aha, D.W. (2018). Distributed discrepancy detection for beyond-visual-range air combat. AI Communications, 31(2), 181-195.
Johnson, B., Floyd, M.W., Coman, A., Wilson, M.A., Aha, D.W. (2018). Goal Reasoning and Trusted Autonomy. In Abbass, H., Scholz, J., and Reid, D. (Eds.) Foundations of Trusted Autonomy. Springer.
2017
Molineaux, M., Floyd, M.W., Dannenhauer, D., and Aha, D.W. (2018). Human-Agent Teaming as a Common Problem for Goal Reasoning. In Proceedings of the AAAI Spring Symposium on Integrating Representation, Reasoning, Learning, and Execution for Goal Directed Autonomy, Palo Alto, California, USA, March 26-28, 572-577. AAAI Press.
Task, C., Wilson, M., Molineaux, M., & Aha, D.W. (to appear). Investigating the Solution Space for Online Iterative Explanation in Goal Reasoning. AI Communications.
Cordier, A., and Floyd, M.W. (2017). Preface – ICCBR Video Competition 2017. In Proceedings of the 25th International Conference on Case-Based Reasoning Workshops, Trondheim, Norway, June 26-28, 285-287. CEUR Workshop Proceedings.
Cordier, A., and Floyd, M.W. (Eds.) (2017). Abstracts from the ICCBR Video Competition 2017. In Kofod-Peterson, A., and Sanchez-Ruiz, A.A. (Eds.) Proceedings of the 25th International Conference on Case-Based Reasoning Workshops, Trondheim, Norway, June 26-28.
Floyd, M.W., and Aha, D.W. (2017). Using Explanations to Provide Transparency During Trust-Guided Behavior Adaptation. AI Communications, 30(3-4), 281-294.
To, S. T., Son, T. C., Pontelli, E. (2017). A Generic Approach to Planning in the Presence of Incomplete Information: Theory and Implementation (Extended Abstract) . In Proceedings of the 26th International Joint Conference on Artificial Intelligence, Melbourne, Australia, August 19-25, to appear. AAAI Press.
Floyd, M.W., Karneeb, J., Moore, P., and Aha, D.W. (2017). A Goal Reasoning Agent for Controlling UAVs in Beyond-Visual-Range Air Combat. In Proceedings of the 26th International Joint Conference on Artificial Intelligence, Melbourne, Australia, August 19-25, 4714-4721. AAAI Press.
Floyd, M.W., Karneeb, J., and Aha, D.W. (2017). Case-based Team Recognition Using Learned Opponent Models. In Proceedings of the 25th International Conference on Case-Based Reasoning, Trondheim, Norway, June 26-28, 123-138. Springer.
Moore, P.G., Floyd, M.W., Karneeb, J., and Aha, D.W. [Knexus Research]. (2017, January 31). Top Drone. [Video file]. Retrieved from https://www.youtube.com/watch?v=frX0swmD7gM
To, S.T., Johnson, B., Roberts, M., Apker, T., & Aha, D.W. (2017). A New Approach to Temporal Planning with Rich Metric Temporal Properties” Conference: International Conference on Automated Planning and Scheduling. ICAPS.
Hancock, W., Floyd, M.W., Molineaux, M., and Aha, D.W. (2017). Towards Deception Detection in a Language-driven Game. In Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference, Marco Island, USA, May 22-24, 388-393. AAAI Press.
Floyd, M.W., Turner, J.T., and Aha, D.W. (2017). Using Deep Learning to Automate Feature Modeling in Learning by Observation. In Proceedings of the 30th International Florida Artificial Intelligence Research Society Conference, Marco Island, USA, May 22-24, 50-55. AAAI Press.
Floyd, M.W., Turner, J.T., and Aha, D.W. (2017). Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study. In Proceedings of the AAAI Spring Symposium on Learning from Observation of Humans, Palo Alto, USA, March 27 – 29, 494-498. AAAI Press.
Shivashankar, V., Alford, R., & Aha, D.W. (2017). Incorporating domain-independent planning heuristics in hierarchical planning. InProceedings of the Thirty-First AAAI Conference on Artificial Intelligence. San Francisco, CA: AAAI Press.
Ménager, D.H., Choi, D., Floyd, M.W., Task, C., and Aha, D.W. (2017). Dynamic Goal Recognition Using Windowed Action Sequences. In Proceedings of the Workshop on Plan, Activity, and Intent Recognition (held at the 31st Conference on Artificial Intelligence), San Francisco, California, USA, February 4 – 9, 843-850. AAAI Press.
2016
Shivashankar, V., Alford, R., Roberts, M., & Aha, D.W. (2016). Cost-optimal algorithms for hierarchical goal network planning: A preliminary report. In J. Benton, D. Bryce, M. Katz, N. Lipovetzky, C. Muise, M. Ramirez, & A. Torralba (Eds.) Heuristics and Search for Domain-independent Planning: Papers from the ICAPS Workshop. London, UK: AAAI Press.
Floyd, M.W., and Aha, D.W. (2016). Incorporating Transparency During Trust-Guided Behavior Adaptation. In Proceedings of the 24th International Conference on Case-Based Reasoning, Atlanta, USA, October 31 – November 2, 124-138. Springer. (Nominated for Best Paper Award)
Task, C. (2016) “Brief Case Study of the OPD Pulse Shooting LIVECAD logs”. Knexus Research Corporation. Technical Report No.: KRC-Orlando-TR-2016-10-27.
Turner, J., Gupta, K.M., Aha, D. (2016). SPARCNN: SPAtially Related Convolutional Neural Networks. In Proceedings of the Workshop on Applied Imagery and Pattern Recognition (held the 45th Annual IEEE AIPR 2016), Washington, D.C., USA, October 18-20.
Alford, R., Shivashankar, V., Roberts, M., and Aha, D.W. (2016). Hierarchical Planning: Relating Task and Goal Decomposition with Task Sharing. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), New York, NY.
Floyd, M.W., Drinkwater, M., and Aha, D.W. (2016). Learning Trustworthy Behaviors Using an Inverse Trust Metric. In Mittu, R., Sofge, D., Wagner, A., and Lawless, W.F. (Eds.) Robust Intelligence and Trust in Autonomous Systems. Springer.
Karneeb, J., Floyd, M.W., Moore, P., and Aha, D.W. (2016). Distributed Discrepancy Detection for BVR Air Combat. In Proceedings of the Workshop on Goal Reasoning (held at the 25th International Joint Conference on Artificial Intelligence), New York, New York, USA, July 9 – 15.
Turner, J., Gupta, K.M., Morris, B., Aha, D. (2016). Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features. In Proceedings of the Workshop on Applied Imagery and Pattern Recognition (held the 45th Annual IEEE AIPR 2016), Washington, D.C., USA, October 18-20, to appear.
To, S.T., Roberts, M., Apker, T., Johnson, B., & Aha, D.W. (2016). Mixed propositional metric temporal logic: A new formalism for temporal planning. To appear in D. Magazzeni, S. Sanner, & S. Thiebaux (Eds.) Planning for Hybrid Systems: Papers from the AAAI Workshop (Technical Report WS-16-13). Phoenix, AZ: AAAI Press.
Gillespie, K., Floyd, M.W., Molineaux, M., Vattam, S.S., and Aha, D.W. (2016). Semantic Classification of Utterances in a Language-driven Game. In Proceedings of the Computer Games Workshop (held at the 25th International Joint Conference on Artificial Intelligence), New York, New York, USA, July 9 – 15.
Shivashankar, V., Alford, R., Roberts, M., and Aha, D.W. (2016). Cost-Optimal Algorithms for Planning with Procedural Control Knowledge. In Proceedings of the 22nd European Conference on Artificial Intelligence (ECAI 2016).
Roberts, M., Alford, R., Shivashankar, V., Leece, M., Gupta, S., and Aha, D.W. (2016). Goal Reasoning, Planning, and Acting with ActorSim, The Actor Simulator. In Proceedings of the Fourth Annual Conference on Advances in Cognitive Systems (ACS 2016), Evanston IL, 2016.
Roberts, M., Alford, R., Shivashankar, V., Leece, M., Gupta, S., and Aha, D.W. (2016). Goal Reasoning, Planning, and Acting with ActorSim, The Actor Simulator. In ICAPS Workshop on Planning and Robotics (PlanRob 2016), London, 2016.
2015
Task., C. (2015). Privacy-preserving social network analysis. PhD diss., Purdue University.
Kann, J., Molineaux, M., and Auslander, B. (2015). Case Based Disruption Monitoring. In Proceedings of the 23rd International Conference on Case-Based Reasoning Workshops – Workshop on Case-Based Agents, Frankfurt am Main, Germany, September 28 – 30, 58-67.
Gupta, KM., Gillespie, K. (2015). eBotworks: A Software Platform for Developing and Evaluating Communicative Autonomous Systems, Proceedings of Unmanned Systems, Arlington, VA: AUVSI.
Alford, R., Borck, H., Karneeb, J., and Aha, D.W. (2015). Active Behavior Recognition in Beyond Visual Range Air Combat. In Proceedings of the Third Annual Conference on Advances in Cognitive Systems.
Coman, A., Gillespie, K., and Muñoz-Avila, H. (2015). Believable Emotion-Influenced Perception: The Path to Motivated Rebel Agents.
Borck H., Karneeb, J., Alford, R., and Aha, D.W.(2015). Case-Based Behavior Recognition in Beyond Visual Range AIr Combat. In Proceedings of the 28th International Florida Artificial Intelligence Research Society Conference, Hollywood, Florida, USA, May 18 – 20, in press. AAAI Press.
Borck, H., Karneeb, J., Floyd, M.W., Alford, R., and Aha, D.W. (2015). Case-based Policy and Goal Recognition. In Proceedings of the 23rd International Conference on Case-Based Reasoning, Frankfurt am Main, Germany, September 28 – 30, 30-43. Springer.
Molineaux, M., and Aha, D.W. (2015). Continuous Explanation Generation in a Multi-Agent Domain. In Proceedings of Advances in Cognitive Systems.
Turner, J., Aha, D., Smith, L., & Gupta, K.M. (2015). Convolutional architecture exploration for action recognition and image classification (Technical Note AIC-15-111). Washington, DC: Naval Research Laboratory, Navy Center for Applied Research on Artificial Intelligence.
Roberts, M., Apker, T., Johnson, B., Auslander, B., Wellman, B., and Aha, D.W(2015). Coordinating Robot Teams for Disaster Relief. In Proceedings of the 28th Florida Artificial Intelligence Research Society Conference, Hollywood, Florida, USA, May 18 – 20, in press. AAAI Press.
Vattam, S.S., Aha, D.W., and Floyd, M.W. (2015). Error Tolerant Plan Recognition: An Empirical Investigation. In Proceedings of the 28th International Florida Artificial Intelligence Research Society Conference, Hollywood, Florida, USA, May 18 – 20, in press. AAAI Press.
Thomson, R., Bennati, S., & Lebiere, C. (2015). Extending the Influence of Contextual Information in ACT-R using Buffer Decay. In P. Bello, M. Guarini, M. McShane, & B. Scassellati (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society.
Gillespie, K., Molineaux, M., Floyd, M.W., Vattam, S.S., and Aha, D.W. (2015). Goal Reasoning for an Autonomous Squad Member. In Proceedings of the 2015 Advances in Cognitive Systems Workshop on Goal Reasoning.
Floyd, M.W., Drinkwater, M., and Aha, D.W. (2015). Improving Trust-Guided Behavior Adaptation Using Operator Feedback. In Proceedings of the 23rd International Conference on Case-Based Reasoning, Frankfurt am Main, Germany, September 28 – 30, 134-148. Springer.
Auslander, B., Floyd, M.W., Apker, T., Johnson, B., Roberts, M., and Aha, D.W. (2015). Learning to Estimate: A Case-Based Approach to Task Execution Prediction. In Proceedings of the 23rd International Conference on Case-Based Reasoning, Frankfurt am Main, Germany, September 28 – 30, 15-29. Springer.
Thomson, R., Lebiere, C., Bennati, S., Shakarian, P., & Nunes, E. (2015). Malware Identification Using Cognitively Inspired Inference. In Proceedings of the 24th Conference on Behavior Representation in Modeling Simulation. Washington, DC: Society for Behavior Prediction.
Molineaux, M., Auslander, B, Moore, P.G., & Gupta, K.M. (2015). Minimally Disruptive Schedule Repair for MCM Missions. In Proceedings of SPIE DSS (pp. 31-45), Baltimore, USA.
Aha, D.W., and Floyd, M.W. (2015). Preface – Workshop on Case-Based Agents. In Proceedings of the 23rd International Conference on Case-Based Reasoning Workshops, Frankfurt am Main, Germany, September 28 – 30, 9-11.
Floyd, M.W., Drinkwater, M., and Aha, D.W. (2015). Trust-Guided Behavior Adaptation Using Case-Based Reasoning. In Proceedings of the 24th International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, July 25 – 31, 4261-4267. AAAI Press.
2014
Kolda, T., Pinar, A., Plantenga, T., Seshadhri, C., and Task, C. (2014). Counting triangles in massive graphs with MapReduce. SIAM Journal on Scientific Computing, 36 (5), S48-S77.
Floyd, M.W., Drinkwater, M., & Aha, D.W. (2014) Adapting Autonomous Behavior Using an Inverse Trust Estimation. In Proceedings of the 14th International Conference on Computational Science and Its Applications, Guimaraes, Portugal, 728-742, Springer.
Floyd, M.W., Drinkwater, M., & Aha, D.W. (2014) Case-Based Behavior Adaptation Using an Inverse Trust Metric. In Proceedings of the Workshop on Artificial Intelligence and Robotics (held at the 28th Conference on Artificial Intelligence), Quebec City, Canada, 16-21.
Borck, H., Karneeb, J., Alford, R., & Aha, D.W. (2014). Case-based behavior recognition to facilitate planning in unmanned air vehicles. In S. Vattam & D.W. Aha (Eds.) Case-Based Agents: Papers from the ICCBR Workshop (Technical Report). University College Cork: Cork, Ireland.
Gillespie, K., Gupta, K.M., & Drinkwater, M. (2014) Case-Based Object Placement Planning. In Proceedings of the 22nd International Conference on Case-Based Reasoning, Cork, Ireland, 170-184, Springer.
Auslander, B., Apker, T., & Aha, D.W. (2014) Case-Based Parameter Selection for Plans: Coordinating Autonomous Vehicle Teams. In Proceedings of the 22nd International Conference on Case-Based Reasoning, Cork, Ireland, in press, Springer.
Vattam, S.S., Aha, D.W., & Floyd, M.W. (2014) Case-Based Plan Recognition Using Action Sequence Graphs. In Proceedings of the 22nd International Conference on Case-Based Reasoning, Cork, Ireland, 495-510, Springer.
Floyd, M.W., Drinkwater, M., & Aha, D.W. (2014) How Much Do You Trust Me? Learning a Case-Based Model of Inverse Trust. In Proceedings of the 22nd International Conference on Case-Based Reasoning, Cork, Ireland, 125-139, Springer.
Roberts, M., Vattam, S., Alford, R., Auslander, B., Karneeb, J., Molineaux, M., Apker, T., Wilson, M., McMahon, J., & Aha, D. (2014). Iterative goal refinement for robotics. In Proceedings of the Second Workshop on Planning and Robotics at ICAPS 2014.
Molineaux, M., & Aha, D.W. (2014). Learning Unknown Event Models. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence.
2013
Vattam, S., Klenk, M., Molineaux, M., & Aha, D.W. (2013). Breadth of Approaches to Goal Reasoning: A Research Survey. In Proceedings of the 2013 Advances in Cognitive Systems Workshop on Goal Reasoning .
Wilson, M., Molineaux, M., & Aha, D.W. (2013). Domain-Independent Heuristics for Goal Formulation. In Proceedings of the Twenty-Sixth International Florida Artificial Intelligence Research Society Conference.
Klenk, M., Molineaux, M., & Aha, D.W. (2013). Goal-driven autonomy for responding to unexpected events in strategy simulations. In Computational Intelligence. 29(2). 187-206.
Molineaux, M., & Aha, D.W. (2013). Learning Models for Predicting Surprising Events. In Proceedings of the 2013 Advances in Cognitive Systems Workshop on Goal Reasoning .
Gupta, K.M., Gillespie, K., Karneeb, J., Borck, H. (2013) Spatial planning for placement command understanding. Poster session presented at The 2nd Annual Conference on the Advancement of Cognitive Systems, Baltimore, MD.
Wilson, M., Auslander, B., Johnson, B., Apker, T., McMahon, J., & Aha, D.W. (2013). Towards applying goal autonomy for vehicle control. In D.W. Aha, M.T. Cox, & H. Muñoz-Avila (Eds.) Goal Reasoning: Papers from the ACS Workshop (Technical Report CS-TR-5029). College Park, MD: University of Maryland, Department of Computer Science.
2012
Task, C. [Purdue CERIAS]. (2012, May 1). “A Practical Beginners’ Guide to Differential Privacy.” [Video]. YouTube. https://www.youtube.com/watch?v=Gx13lgEudtU&t=3s
Task, C. and Clifton, C. (2012). A Guide to Differential Privacy in Social Network Analysis. International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
Molineaux, M., Kuter, U., & Klenk, M. (2012). DiscoverHistory: Understanding the Past in Planning and Execution. In Proceedings of the Eleventh International Conference on Autonomous Agents and Multi-Agent Systems. Valencia, Spain.
Auslander, B., Gupta, K.M., & Aha, D.W. (2012a). Maritime Threat Detection using Plan Recognition. Proceedings of the Twelfth Annual IEEE Conference on Technologies for Homeland Security. pp. 249-254
Auslander, B., Gupta, K.M., & Aha, D.W. (2012). Maritime threat detection using probabilistic relational networks. To appear in Proceedings of the Twenty-Fifth Florida Artificial Intelligence Research Society Conference. Marco Island, FL: AAAI Press.
Maney, T., Sibert, L., Perzanowski, D., Gupta, K.M., & Schmidt-Nielsen, A. (2012) Toward determining the comprehensibillity of machine translations to appear in the Proceedings of the NAACL HLT 2012 Workshop on Predicting and improving text readability for target reader populations (PITR2012); Montreal, Canada: NAACL.
2011
Auslander, B., Gupta, K.M., & Aha, D.W.(2011). A Comparative Evaluation of Anomaly Detection Algorithms for Maritime Video Surveillance. Proceedings of the Society of Photographic Instrumentation Engineers Conference Orlando, FL SPIE
Powell, J., Molineaux, M., & Aha, D.W. (2011). Active and interactive learning of goal selection knowledge. In Proceedings of the Twenty-Fourth Florida Artificial Intelligence Research Society Conference. West Palm Beach, FL: AAAI Press.
Molineaux, M., Aha, D.W., & Kuter, U. (2011). Learning event models that explain anomalies. In T. Roth-Berghofer, N. Tintarev, & D.B. Leake (Eds.) Explanation-Aware Computing: Papers from the IJCAI Workshop. Barcelona, Spain.
Klenk, M., Aha, D.W., & Molineaux, M. (2011). Making the case for transfer: Case-based transfer learning. AI Magazine, 32(1), 54-69.
Gupta, K.M., Schneider, A, Klenk, M., Gillespie, K., & Karneeb, J. (2011). Representing And Reasoning with Functional Knowledge for Spatial Language Understanding, Workshop on Computational Models of Spatial Language Interpretation-2, Boston, MA: CogSci-2011.
Molineaux, M., Kuter, U., & Klenk, M. (2011). What Just Happened? Explaining the Past in Planning and Execution. In T. Roth-Berghofer, N. Tintarev, & D.B. Leake (Eds.) Explanation-Aware Computing: Papers from the IJCAI Workshop. Barcelona, Spain.
2010
Muñoz-Avila, H., Aha, D.W., Jaidee, U., Klenk, M., & Molineaux, M. (2010). Applying Goal Driven Autonomy to a Team Shooter Game. To appear in Proceedings of the Twenty-Third Florida Artificial Intelligence Research Society Conference. Daytona Beach, FL: AAAI Press.
Molineaux, M. (2010). Design and Evaluation of a Goal-Directed Autonomous Agent. To appear in Goal-Directed Autonomy: Papers from the AAAI Workshop. Atlanta, GA: AAAI Press.
Molineaux, M., Klenk, M., & Aha, D.W. (2010). Goal-driven autonomy in a Navy strategy simulation. To appear in Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence. Atlanta, GA: AAAI Press.
McDowell, L.K., Gupta, K.M., & Aha, D.W. (2010). Meta-prediction in collective classification. To appear in Proceedings of the Twenty-Third Florida Artificial Intelligence Research Society Conference. Daytona Beach, FL: AAAI Press.
Molineaux, M., Klenk, M., & Aha, D.W. (2010). Planning in Dynamic Environments: Extending HTNs with Nonlinear Continuous Effects. To appear in Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence. Atlanta, GA: AAAI Press.
2009
Moore, P.G., Molineaux, M., and Gupta, K.M. [Knexus Research]. (2009, June 04). Casey’s Quest: Transfer Learning for Adversarial Environments. [Video file]. Retrieved from http://www.youtube.com/watch?v=sITkmOefamc
Gupta, K.M., Aha, D.W., & Hartley, R. (2009). Adaptive maritime video surveillance. Proceedings of the Society of Photographic Instrumentation Engineers Conference. Orlando, FL: SPIE.
Molineaux, M., Aha, D.W., & Sukthankar, G. (2009). Beating the defense: Using plan recognition to inform learning agents. Proceedings of the Twenty-Second International FLAIRS Conference (pp. 337-343). Sanibel Island, FL: AAAI Press.
Gupta, K.M., Aha, D.W., & Moore, P. (2009). Case-based collective inference for maritime object classification. Proceedings of the Eighth International Conference on Case-Based Reasoning (pp. 443-449). Seattle, WA: Springer.
Aha, D.W., Molineaux, M., & Sukthankar, G. (2009). Case-based reasoning for transfer learning. Proceedings of the Eighth International Conference on Case-Based Reasoning (pp. 29-44). Seattle, WA: Springer.
McDowell, L.K., Gupta, K.M., & Aha, D.W. (2009). Cautious collective classification. Journal of Machine Learning Research, 10, 2777-2836.
Li, N., Stracuzzi, D.J., Cleveland, G., Langley, P., Konik, T., Shapiro, D., Ali, K., Molineaux, M., & Aha, D.W. (2009). Constructing game agents from video of human behavior. To appear in Proceedings of the Fifth Conference on Artificial Intelligence and Interactive Digital Entertainment. Stanford, CA: AAAI Press.
Petry, F., Ladner, R.L., Gupta, K.M., Moore, P.G., Aha, D.W., Lin, B., Sween, R. (2009). Design of an Integrated Web Services Brokering System. Journal of Information Technology and Web Engineering, 4(3), 58-77.
Laviers, K., Sukthankar, G., Molineaux, M., & Aha, D.W. (2009). Exploiting early intent recognition for competitive advantage. In C. Geib, H. Bui, G. Sukthankar, & D. Pynadath (Eds.) Plan, Activity, and Intent Recognition: Papers from the IJCAI Workshop (Technical Report WS-09-28). Pasadena, CA: AAAI Press. [http://www.planrec.org/]
Laviers, K., Sukthankar, G., Molineaux, M., & Aha, D.W. (2009). Improving offensive performance through opponent modeling. To appear in Proceedings of the Fifth Conference on Artificial Intelligence and Interactive Digital Entertainment. Stanford, CA: AAAI Press.
Li, N., Stracuzzi, D.J., Cleveland, G., Langley, P., Konik, T., Shapiro, D., Ali, K., Molineaux, M., & Aha, D.W. (2009). Learning Hierarchical Skills for Game Agents from Video of Human Behavior. In U. Kuter & H. Muñoz-Avila (Eds.) Learning Structural Knowledge from Observations: Papers from the IJCAI Workshop (Technical Report WS-09-21). Pasadena, CA: AAAI Press. [http://www.cs.umd.edu/~ukuter/struck09]
Van Ess-Dykema, C., Perzanowski, D., Converse, S., Richardson, R., White, J.S., and Maney, T., (August 26-30, 2009). “Metrics to Assess Translation Memory Technology” Proceedings of the Twelfth Machine Translation Summit. Ottawa, Ontario, Canada, 550-558.
Laviers, K., Sukthankar, G., Klenk, M., Aha, D.W. & Molineaux, M. (2009). Opponent modeling and spatial similarity to retrieve and reuse superior plays. In S.J. Delany (Ed.) Case-Based Reasoning for Computer Games: Papers from the ICCBR Workshop (Technical Report 7/2009). Tacoma, WA: University of Washington Tacoma, Institute of Techology. [http://gaia.fdi.ucm.es/cbrcg09]
Auslander, B., Molineaux, M., Aha, D.W., Munro, A., & Pizzini, Q. (2009). Towards research on goal reasoning with the TAO Sandbox. (Technical Report AIC-09-155). Washington, DC: Naval Research Laboratory, Navy Center for Applied Research on Artificial Intelligence.
2008
Gupta, K.M., Zang, M., Gray, A., Aha, D.W., & Kriege, J. (2008). Enabling the interoperability of large-scale legacy systems. Proceedings of the Twentieth Innovative Applications of Artificial Intelligence Conference (pp. 1679-1684). Chicago, IL: AAAI Press.
Zang, M., Gray, A., Kriege, J., Pohl, J., Gupta, K.M., & Aha, D.W. (2008). IMT: A mixed-initiative data mapping and search toolkit. Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (pp. 1890-1891). Chicago, IL: AAAI Press.
Molineaux, M., Aha, D.W., & Moore, P. (2008). Learning continuous action models in a real-time strategy environment. Proceedings of the Twenty-First Florida Artificial Intelligence Research Conference (pp. 257-262). Coconut Grove, FL: AAAI Press.
Ladner, R., Petry, F., Gupta, K.M., Warner, E., Moore, P., & Aha, D.W. (2008). Soft computing techniques for web services brokering. Soft Computing, 12, 1089-1098.
2007
Ladner R., Warner E. Petry, F., Gupta K.M., & Aha, D.W. (2007). An evaluation of case-based classification to support automated Web service discovery and brokering, Proceedings of SPIE Defense and Security Symposium.
McDowell, L., Gupta, K.M., & Aha, D.W. (2007). Case-based collective classification. Proceedings of Twentieth International FLAIRS Conference.(pp. 399-404). Key West, FL:AAAI Press.
McDowell, L., Gupta, K.M., & Aha, D.W. (2007). Cautious inference in collective classification. In Proceedings of the Twenty-Second National Conference on Artificial Intelligence. Vancouver (BC), Canada: AAAI Press.
Gupta, K.M., & Aha, D.W. (2007). Conversation for textual case-based reasoning. In D. Wilson, & D. Khemani (Eds.) Textual Case-Based Reasoning: Beyond Retrieval: Papers from the ICCBR-07 Workshop (Technical Report). Belfast, Northern Ireland.
2006
Gupta K.M., Aha D.W., & Moore P.G. (2006). Rough set feature selection algorithms for textual case-based classification, M.G. Göker & T.R. Roth-Berghofer (Eds.) Advances in Case-Based Reasoning (LNAI 4106)-Proceedings of ECCBR-06 (pp. 166-181), Heidelberg, Germany: Springer.
Ladner R., Warner, E., Petry, Gupta K.M., Moore P.G., Aha D.W., & Shaw, K. (2006). Case-based classification alternatives to ontologies for automated web service discovery and integration, Proceedings of SPIE Defense & Security Symposium, (pp. 620117-1 <96> 620117-8) Vol. 6201.
Ladner R., Petry F., Warner E. & Gupta K.M. (2006). Using web services to enhance geographic information systems, Control and Cybernetics, 30(1), 29-46.