What It Means to Be "situated". - Lewis A. Loren; Eric Dietrich; Clayton T. Morrison; Jonathan Beskin (Cybern. Syst., 1998)

Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis. - Joseph Y. Lo; Walker H. Land; Clayton T. Morrison (IJCNN, 1999)

Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis. - Joseph Y. Lo; Walker H. Land; Clayton T. Morrison (Image Processing, 2000)

A Knowledge Acquisition Tool for Course of Action Analysis. - Kim Barker; Jim Blythe; Gary C. Borchardt; Vinay K. Chaudhri; Peter Clark; Paul R. Cohen; Julie Fitzgerald; Kenneth D. Forbus; Yolanda Gil; Boris Katz; Jihie Kim; Gary W. King; et al. (IAAI, 2003)

Guided Incremental Construction of Belief Networks. - Charles A. Sutton; Brendan Burns; Clayton T. Morrison; Paul R. Cohen (IDA, 2003)

Agent models I: action models. - Gary W. King; Clayton T. Morrison; Paul R. Cohen (WSC, 2003)

The Hats Simulator. - Paul R. Cohen; Clayton T. Morrison (WSC, 2004)

Maps for Verbs: The Relation Between Interaction Dynamics and Verb Use. - Paul R. Cohen; Clayton T. Morrison; Erin Cannon (IJCAI, 2005)

The Hats Information Fusion Challenge Problem. - Clayton T. Morrison; Paul R. Cohen (FUSION, 2006)

The Colab Mixed-Initiative Analysis Enviroment. - Clayton T. Morrison; Paul R. Cohen (FUSION, 2006)

The Hats Simulator and Colab: An Integrated Information Fusion Challenge Problem and Collaborative Analysis Environment. - Clayton T. Morrison; Paul R. Cohen (ISI, 2006)

Piagetian Adaptation Meets Image Schemas: The Jean System. - Yu-Han Chang; Paul R. Cohen; Clayton T. Morrison; Robert St. Amant; Carole R. Beal (SAB, 2006)

Learning and Transferring Action Schemas. - Paul R. Cohen; Yu-Han Chang; Clayton T. Morrison; Carole R. Beal (IJCAI, 2007)

AAAI Fall Symposium Reports. - Jerry T. Ball; Chris Arney; Samuel G. Collins; Mitchell Marcus; Sergei Nirenburg; Antonio Chella; Kai Goebel; Jason H. Li; Margaret Lyell; Brian Magerko; Riccardo Manzotti; Clayton T. Morrison; et al. (AI Mag., 2008)

Intrinsically motivated information foraging. - Ian R. Fasel; Andrew Wilt; Nassim Mafi; Clayton T. Morrison (ICDL, 2010)

Human Natural Instruction of a Simulated Electronic Student. - Tasneem Kaochar; Raquel Torres Peralta; Clayton T. Morrison; Thomas J. Walsh 001; Ian R. Fasel; Sumin Beyon; Anh Tran; Jeremy B. Wright; Paul R. Cohen (AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 2011)

Blending Autonomous Exploration and Apprenticeship Learning. - Thomas J. Walsh 001; Daniel Hewlett; Clayton T. Morrison (NIPS, 2011)

Challenges to decoding the intention behind natural instruction. - Raquel Torres Peralta; Tasneem Kaochar; Ian R. Fasel; Clayton T. Morrison; Thomas J. Walsh 001; Paul R. Cohen (RO-MAN, 2011)

Towards Understanding How Humans Teach Robots. - Tasneem Kaochar; Raquel Torres Peralta; Clayton T. Morrison; Ian R. Fasel; Thomas J. Walsh 001; Paul R. Cohen (UMAP, 2011)

Computer science can use more science. - Clayton T. Morrison; Richard T. Snodgrass (Commun. ACM, 2011)

Preface. - Marc Pickett; Benjamin Kuipers; Yann LeCun; Clayton T. Morrison (AAAI Workshop: Learning Rich Representations from Low-Level Sensors, 2013)

Human Computation as an Educational Opportunity. - Carole R. Beal; Clayton T. Morrison; Juan C. Villegas (Handbook of Human Computation, 2013)

Moderated and Drifting Linear Dynamical Systems. - Jinyan Guan; Kyle Simek; Ernesto Brau; Clayton T. Morrison; Emily Butler; Kobus Barnard (ICML, 2015)

Bayesian Inference of Recursive Sequences of Group Activities from Tracks. - Ernesto Brau; Colin Reimer Dawson; Alfredo Carrillo; David Sidi; Clayton T. Morrison (AAAI, 2016)

Learning what to read: Focused machine reading. - Enrique Noriega-Atala; Marco Antonio Valenzuela-Escárcega; Clayton T. Morrison; Mihai Surdeanu (EMNLP, 2017)

Composition by Conversation. - Donya Quick; Clayton T. Morrison (ICMC, 2017)

An Infinite Hidden Markov Model With Similarity-Biased Transitions. - Colin R. Dawson; Chaofan Huang; Clayton T. Morrison (ICML, 2017)

Inter-Sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts. - Enrique Noriega-Atala; Paul Douglas Hein; Shraddha Satish Thumsi; Zechy Wong; Xia Wang; Clayton Thomas Morrison (ICDM Workshops, 2018)

WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference. - Peter A. Jansen; Elizabeth Wainwright; Steven Marmorstein; Clayton T. Morrison (LREC, 2018)

Large-scale automated machine reading discovers new cancer-driving mechanisms. - Marco Antonio Valenzuela-Escárcega; Özgün Babur; Gus Hahn-Powell; Dane Bell; Thomas Hicks 002; Enrique Noriega-Atala; Xia Wang; Mihai Surdeanu; Emek Demir; Clayton T. Morrison (Database J. Biol. Databases Curation, 2018)

A Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images. - Rodrigo Savage; Leon F. Palafox; Clayton T. Morrison; Jeffrey J. Rodríguez; Kobus Barnard; Shane Byrne; Christopher W. Hamilton (IEEE Trans. Geosci. Remote. Sens., 2018)

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. - Rebecca Sharp; Adarsh Pyarelal; Benjamin M. Gyori; Keith Alcock; Egoitz Laparra; Marco Antonio Valenzuela-Escárcega; Ajay Nagesh; Vikas Yadav; John A. Bachman; Zheng Tang; Heather C. Lent; Fan Luo; et al. (NAACL-HLT (Demonstrations), 2019)

Meta-Learning Initializations for Image Segmentation. - Sean M. Hendryx; Andrew B. Leach; Paul Douglas Hein; Clayton T. Morrison (CoRR, 2019)

MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions. - Maria Alexeeva; Rebecca Sharp; Marco Antonio Valenzuela-Escárcega; Jennifer Kadowaki; Adarsh Pyarelal; Clayton T. Morrison (LREC, 2020)

AutoMATES: Automated Model Assembly from Text, Equations, and Software. - Adarsh Pyarelal; Marco Antonio Valenzuela-Escárcega; Rebecca Sharp; Paul Douglas Hein; Jon Stephens; Pratik Bhandari; HeuiChan Lim; Saumya Debray; Clayton T. Morrison (CoRR, 2020)

Extracting Inter-Sentence Relations for Associating Biological Context with Events in Biomedical Texts. - Enrique Noriega-Atala; Paul Douglas Hein; Shraddha Satish Thumsi; Zechy Wong; Xia Wang; Sean M. Hendryx; Clayton T. Morrison (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning. - Sean M. Hendryx; Dharma Raj KC; Bradley Walls; Clayton T. Morrison (CoRR, 2021)

Neural Architectures for Biological Inter-Sentence Relation Extraction. - Enrique Noriega-Atala; Peter M. Lovett; Clayton T. Morrison; Mihai Surdeanu (SDU@AAAI, 2022)

Low Resource Causal Event Detection from Biomedical Literature. - Zhengzhong Liang; Enrique Noriega-Atala; Clayton T. Morrison; Mihai Surdeanu (BioNLP@ACL, 2022)

Validity Assessment of Legal Will Statements as Natural Language Inference. - Alice Saebom Kwak; Jacob O. Israelsen; Clayton T. Morrison; Derek E. Bambauer; Mihai Surdeanu (EMNLP (Findings), 2022)

Texture Generation Using a Graph Generative Adversarial Network and Differentiable Rendering. - K. C. Dharma; Clayton T. Morrison; Bradley Walls (IVCNZ, 2022)

Learning Open Domain Multi-hop Search Using Reinforcement Learning. - Enrique Noriega-Atala; Mihai Surdeanu; Clayton T. Morrison (CoRR, 2022)

Texture Generation Using Graph Generative Adversarial Network And Differentiable Rendering. - Dharma Raj KC; Clayton T. Morrison; Bradley Walls (CoRR, 2022)

Information Extraction from Legal Wills: How Well Does GPT-4 Do? - Alice Saebom Kwak; Cheonkam Jeong; Gaetano Forte; Derek E. Bambauer; Clayton T. Morrison; Mihai Surdeanu (EMNLP (Findings), 2023)

The ToMCAT Dataset. - Adarsh Pyarelal; Eric Duong; Caleb Shibu; Paulo Soares; Savannah Boyd; Payal Khosla; Valeria A. Pfeifer; Diheng Zhang; Eric Andrews; Rick Champlin; Vincent Raymond; Meghavarshini Krishnaswamy; et al. (NeurIPS, 2023)

Neural Machine Translation for Code Generation. - K. C. Dharma; Clayton T. Morrison (CoRR, 2023)

When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context. - Enrique Noriega-Atala; Robert Vacareanu; Salena Torres Ashton; Adarsh Pyarelal; Clayton T. Morrison; Mihai Surdeanu (EMNLP (Findings), 2024)

3DTextureTransformer: Geometry Aware Texture Generation for Arbitrary Mesh Topology. - K. C. Dharma; Clayton T. Morrison (CoRR, 2024)

Variable Extraction for Model Recovery in Scientific Literature. - Chunwei Liu; Enrique Noriega-Atala; Adarsh Pyarelal; Clayton T. Morrison; Mike Cafarella (CoRR, 2024)