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Clayton T. Morrison
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2020 – today
- 2024
- [c34]Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, Mihai Surdeanu:
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context. EMNLP (Findings) 2024: 3821-3829 - [i16]K. C. Dharma, Clayton T. Morrison:
3DTextureTransformer: Geometry Aware Texture Generation for Arbitrary Mesh Topology. CoRR abs/2403.04225 (2024) - [i15]Enrique Noriega-Atala, Robert Vacareanu, Salena Torres Ashton, Adarsh Pyarelal, Clayton T. Morrison, Mihai Surdeanu:
When and Where Did it Happen? An Encoder-Decoder Model to Identify Scenario Context. CoRR abs/2410.07567 (2024) - 2023
- [c33]Alice Saebom Kwak, Cheonkam Jeong, Gaetano Forte, Derek E. Bambauer, Clayton T. Morrison, Mihai Surdeanu:
Information Extraction from Legal Wills: How Well Does GPT-4 Do? EMNLP (Findings) 2023: 4336-4353 - [c32]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, Clayton T. Morrison, Emily Butler, Kobus Barnard:
The ToMCAT Dataset. NeurIPS 2023 - [i14]K. C. Dharma, Clayton T. Morrison:
Neural Machine Translation for Code Generation. CoRR abs/2305.13504 (2023) - 2022
- [c31]Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison, Mihai Surdeanu:
Neural Architectures for Biological Inter-Sentence Relation Extraction. SDU@AAAI 2022 - [c30]Zhengzhong Liang, Enrique Noriega-Atala, Clayton T. Morrison, Mihai Surdeanu:
Low Resource Causal Event Detection from Biomedical Literature. BioNLP@ACL 2022: 252-263 - [c29]Alice Saebom Kwak, Jacob O. Israelsen, Clayton T. Morrison, Derek E. Bambauer, Mihai Surdeanu:
Validity Assessment of Legal Will Statements as Natural Language Inference. EMNLP (Findings) 2022: 6047-6056 - [c28]K. C. Dharma
, Clayton T. Morrison
Texture Generation Using a Graph Generative Adversarial Network and Differentiable Rendering. IVCNZ 2022: 388-401 - [i13]Enrique Noriega-Atala, Mihai Surdeanu, Clayton T. Morrison:
Learning Open Domain Multi-hop Search Using Reinforcement Learning. CoRR abs/2205.15281 (2022) - [i12]Dharma Raj KC, Clayton T. Morrison, Bradley Walls:
Texture Generation Using Graph Generative Adversarial Network And Differentiable Rendering. CoRR abs/2206.08547 (2022) - [i11]Alice Saebom Kwak, Jacob O. Israelsen, Clayton T. Morrison, Derek E. Bambauer, Mihai Surdeanu:
Validity Assessment of Legal Will Statements as Natural Language Inference. CoRR abs/2210.16989 (2022) - 2021
- [i10]Sean M. Hendryx, Dharma Raj KC, Bradley Walls, Clayton T. Morrison:
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning. CoRR abs/2109.00150 (2021) - [i9]Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison, Mihai Surdeanu:
Neural Architectures for Biological Inter-Sentence Relation Extraction. CoRR abs/2112.09288 (2021) - 2020
- [j6]Enrique Noriega-Atala
Extracting Inter-Sentence Relations for Associating Biological Context with Events in Biomedical Texts. IEEE ACM Trans. Comput. Biol. Bioinform. 17(6): 1895-1906 (2020) - [c27]Maria Alexeeva, Rebecca Sharp, Marco Antonio Valenzuela-Escárcega, Jennifer Kadowaki, Adarsh Pyarelal, Clayton T. Morrison:
MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions. LREC 2020: 2204-2212 - [i8]Adarsh Pyarelal, Marco Antonio Valenzuela-Escárcega, Rebecca Sharp, Paul Douglas Hein, Jon Stephens, Pratik Bhandari, HeuiChan Lim, Saumya Debray, Clayton T. Morrison
AutoMATES: Automated Model Assembly from Text, Equations, and Software. CoRR abs/2001.07295 (2020)
2010 – 2019
- 2019
- [c26]Rebecca Sharp, Adarsh Pyarelal, Benjamin M. Gyori, Keith Alcock
Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models. NAACL-HLT (Demonstrations) 2019: 42-47 - [i7]Sean M. Hendryx, Andrew B. Leach, Paul Douglas Hein, Clayton T. Morrison
Meta-Learning Initializations for Image Segmentation. CoRR abs/1912.06290 (2019) - 2018
- [j5]Marco Antonio Valenzuela-Escárcega, Özgün Babur, Gus Hahn-Powell
Large-scale automated machine reading discovers new cancer-driving mechanisms. Database J. Biol. Databases Curation 2018: bay098 (2018) - [j4]Rodrigo Savage
A Bayesian Approach to Subkilometer Crater Shape Analysis Using Individual HiRISE Images. IEEE Trans. Geosci. Remote. Sens. 56(10): 5802-5812 (2018) - [c25]Enrique Noriega-Atala, Paul Douglas Hein, Shraddha Satish Thumsi, Zechy Wong, Xia Wang, Clayton Thomas Morrison:
Inter-Sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts. ICDM Workshops 2018: 722-731 - [c24]Peter A. Jansen, Elizabeth Wainwright, Steven Marmorstein, Clayton T. Morrison:
WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-hop Inference. LREC 2018 - [i6]Peter A. Jansen, Elizabeth Wainwright, Steven Marmorstein, Clayton T. Morrison
WorldTree: A Corpus of Explanation Graphs for Elementary Science Questions supporting Multi-Hop Inference. CoRR abs/1802.03052 (2018) - [i5]Enrique Noriega-Atala, Paul Douglas Hein, Shraddha Satish Thumsi, Zechy Wong, Xia Wang, Clayton T. Morrison
Inter-sentence Relation Extraction for Associating Biological Context with Events in Biomedical Texts. CoRR abs/1812.06199 (2018) - 2017
- [c23]Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison, Mihai Surdeanu:
Learning what to read: Focused machine reading. EMNLP 2017: 2905-2910 - [c22]Donya Quick, Clayton T. Morrison:
Composition by Conversation. ICMC 2017 - [c21]Colin R. Dawson, Chaofan Huang, Clayton T. Morrison:
An Infinite Hidden Markov Model With Similarity-Biased Transitions. ICML 2017: 942-950 - [i4]Colin R. Dawson, Chaofan Huang, Clayton T. Morrison
An Infinite Hidden Markov Model With Similarity-Biased Transitions. CoRR abs/1707.06756 (2017) - [i3]Enrique Noriega-Atala, Marco Antonio Valenzuela-Escárcega, Clayton T. Morrison
Learning what to read: Focused machine reading. CoRR abs/1709.00149 (2017) - [i2]Donya Quick, Clayton T. Morrison
Composition by Conversation. CoRR abs/1709.02076 (2017) - 2016
- [c20]Ernesto Brau, Colin Reimer Dawson, Alfredo Carrillo, David Sidi, Clayton T. Morrison:
Bayesian Inference of Recursive Sequences of Group Activities from Tracks. AAAI 2016: 1129-1137 - [i1]Ernesto Brau, Colin Reimer Dawson, Alfredo Carrillo, David Sidi, Clayton T. Morrison
Bayesian Inference of Recursive Sequences of Group Activities from Tracks. CoRR abs/1604.06970 (2016) - 2015
- [c19]Jinyan Guan, Kyle Simek, Ernesto Brau, Clayton T. Morrison, Emily Butler, Kobus Barnard:
Moderated and Drifting Linear Dynamical Systems. ICML 2015: 2473-2482 - 2013
- [c18]Marc Pickett, Benjamin Kuipers, Yann LeCun, Clayton T. Morrison:
Preface. AAAI Workshop: Learning Rich Representations from Low-Level Sensors 2013 - [r1]Carole R. Beal, Clayton T. Morrison, Juan C. Villegas
Human Computation as an Educational Opportunity. Handbook of Human Computation 2013: 163-170 - 2011
- [j3]Clayton T. Morrison, Richard T. Snodgrass:
Computer science can use more science. Commun. ACM 54(6): 36-38 (2011) - [c17]Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Thomas J. Walsh, Ian R. Fasel, Sumin Beyon, Anh Tran, Jeremy B. Wright, Paul R. Cohen:
Human Natural Instruction of a Simulated Electronic Student. AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration 2011 - [c16]Thomas J. Walsh, Daniel Hewlett, Clayton T. Morrison:
Blending Autonomous Exploration and Apprenticeship Learning. NIPS 2011: 2258-2266 - [c15]Raquel Torres Peralta
Challenges to decoding the intention behind natural instruction. RO-MAN 2011: 113-118 - [c14]Tasneem Kaochar, Raquel Torres Peralta
Towards Understanding How Humans Teach Robots. UMAP 2011: 347-352 - 2010
- [c13]Ian R. Fasel, Andrew Wilt, Nassim Mafi, Clayton T. Morrison:
Intrinsically motivated information foraging. ICDL 2010: 101-107
2000 – 2009
- 2008
- [j2]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, Tim Oates, Mark O. Riedl, Goran Trajkovski, Walt Truszkowski, N. Serdar Uckun:
AAAI Fall Symposium Reports. AI Mag. 29(1): 99-104 (2008) - 2007
- [c12]Paul R. Cohen, Yu-Han Chang, Clayton T. Morrison, Carole R. Beal:
Learning and Transferring Action Schemas. IJCAI 2007: 720-725 - [e1]Clayton T. Morrison, Tim Oates:
Computational Approaches to Representation Change during Learning and Development, Papers from the 2007 AAAI Fall Symposium, Arlington, Virginia, USA, November 9-11, 2007. AAAI Technical Report FS-07-03, AAAI Press 2007 [contents] - 2006
- [c11]Clayton T. Morrison, Paul R. Cohen:
The Hats Information Fusion Challenge Problem. FUSION 2006: 1-7 - [c10]Clayton T. Morrison, Paul R. Cohen:
The Colab Mixed-Initiative Analysis Enviroment. FUSION 2006: 1-8 - [c9]Clayton T. Morrison, Paul R. Cohen:
The Hats Simulator and Colab: An Integrated Information Fusion Challenge Problem and Collaborative Analysis Environment. ISI 2006: 105-116 - [c8]Yu-Han Chang, Paul R. Cohen, Clayton T. Morrison, Robert St. Amant, Carole R. Beal:
Piagetian Adaptation Meets Image Schemas: The Jean System. SAB 2006: 369-380 - 2005
- [c7]Paul R. Cohen, Clayton T. Morrison, Erin Cannon:
Maps for Verbs: The Relation Between Interaction Dynamics and Verb Use. IJCAI 2005: 1022-1027 - 2004
- [c6]Paul R. Cohen, Clayton T. Morrison:
The Hats Simulator. WSC 2004: 849-856 - 2003
- [c5]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, Sunil Mishra, Clayton T. Morrison, Kenneth S. Murray, Charley Otstott, Bruce W. Porter, Robert Schrag, Tomás E. Uribe, Jeffrey M. Usher, Peter Z. Yeh:
A Knowledge Acquisition Tool for Course of Action Analysis. IAAI 2003: 43-50 - [c4]Charles A. Sutton, Brendan Burns, Clayton T. Morrison, Paul R. Cohen:
Guided Incremental Construction of Belief Networks. IDA 2003: 533-543 - [c3]Gary W. King, Clayton T. Morrison, Paul R. Cohen:
Agent models I: action models. WSC 2003: 944-951 - 2000
- [c2]Joseph Y. Lo, Walker H. Land, Clayton T. Morrison:
Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis. Image Processing 2000
1990 – 1999
- 1999
- [c1]Joseph Y. Lo, Walker H. Land, Clayton T. Morrison:
Application of evolutionary programming and probabilistic neural networks to breast cancer diagnosis. IJCNN 1999: 3712-3716 - 1998
- [j1]Lewis A. Loren, Eric Dietrich, Clayton T. Morrison, Jonathan Beskin:
What It Means to Be "situated". Cybern. Syst. 29(8): 751-777 (1998)
Coauthor Index
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last updated on 2024-11-28 20:33 CET by the dblp team
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