Publications

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Reddy D, Veeraraghavan A, Chellappa R.  2011.  P2C2: Programmable pixel compressive camera for high speed imaging. 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). :329-336.
Reeder F, Dorr BJ, Farwell D, Habash N, Helmreich S, Hovy E, Levin L, Mitamura T, Miller K, Rambow O et al..  2004.  Interlingual Annotation for MT Development. Machine Translation: From Real Users to ResearchMachine Translation: From Real Users to Research. 3265:236-245.
Refaey MA, Elsayed KM, Hanafy SM, Davis LS.  2009.  Concurrent transition and shot detection in football videos using Fuzzy Logic. Image Processing (ICIP), 2009 16th IEEE International Conference on. :4341-4344.
Refaey MA, Abd-Almageed W, Davis LS.  2008.  A Logic Framework for Sports Video Summarization Using Text-Based Semantic Annotation. Semantic Media Adaptation and Personalization, 2008. SMAP '08. Third International Workshop on. :69-75.
Reggia JA.  1985.  DS Nau, and PY Wang. A formal model of diagnostic inference. Information Sciences. 37:227-285.
Reggia JA, D'Autrechy CL.  1990.  Parsimonious covering theory in cognitive diagnosis and adaptive instruction. Diagnostic Monitoring of Skill and Knowledge AcquisitionDiagnostic Monitoring of Skill and Knowledge Acquisition. :510-510.
Reggia JA, Peng Y.  1987.  Modeling diagnostic reasoning: a summary of parsimonious covering theory. Computer methods and programs in biomedicine. 25(2):125-134.
Reggia JA, Schulz R, Wilkinson GS, Uriagereka J.  2001.  Conditions enabling the emergence of inter-agent signalling in an artificial world. Artificial Life. 7(1):3-32.
Reggia JA, Perricone BT.  1981.  Knowledge-based decision support systems: Development through high-level languages. Proc. 20th Ann. Tech. Meeting of Wash. DC ACM.
Reggia JA, Perricone B.  1982.  KMS reference manual. Dep. Comput. Sci., Univ. Maryland, College Park, Tech. Rep. TR-1136.
Reggia JA, Schultz R, Uriagereka J, Wilkinson J.  2000.  A SIMULATION ENVIRONMENT FOR EVOLVING MULTIAGENT COMMUNICATION. UMIACS-TR-2000-64
Reggia JA, Lohn JD, Chou HH.  1998.  Self-replicating structures: evolution, emergence, and computation. Artificial Life. 4(3):283-302.
Reggia JA, Nau DS, Wang P, Peng Y.  1985.  A formal model of abductive inference. Information Sciences. 37:227-285.
Reggia JA, Sutton G, Cho S.  1991.  Competitive activation mechanisms in connectionist models. Advances in control networks and large-scale parallel distributed processing models. 1:119-119.
Reggia JA, D'Autrechy CL, Sutton III GG, Weinrich M.  1992.  A competitive distribution theory of neocortical dynamics. Neural Computation. 4(3):287-317.
Reggia JA.  1988.  Artificial neural systems in medical science and practice.. MD computing: computers in medical practice. 5(3):4-4.
Reggia JA, Nau DS, Peng Y, Perricone B.  1985.  A theoretical foundation for abductive expert systems.
Reggia JA, Goodall S, Shkuro Y.  1998.  Computational studies of lateralization of phoneme sequence generation. Neural Computation. 10(5):1277-1297.
Reggia JA.  1983.  The Role of Spatial Knowledge in Expert Systems. Representation and Processing of Spatial Knowledge, TR-1275. Dept. of Comp. sci „Univ. of Maryland, May. :3-8.
Reggia JA.  1985.  Evaluation of Medical Expert Systems: A Case Study in Performance Analysis. Proceedings of the Ninth Annual Symposium on Computer Applications in Medical Care. :287-291.
Reggia JA, Peng Y, Tuhrim S.  1993.  A connectionist approach to diagnostic problem solving using causal networks. Information sciences. 70(1-2):27-48.
Reggia JA, Sutton III GG, Lynne C, D'Autrechy SC, Armentrout SL.  2000.  Cortical inhibition as explained by the competitive distribution hypothesis. Network models for control and processing. :31-62.
Reggia JA, Chou H-H, Armentrout SL, Peng Y.  1992.  Simple systems exhibiting self-directed replication: annex of transition functions and software documentation.
Reggia JA, Nau DS.  1984.  An abductive non-monotonic logic. Workshop on Nonmonotonic Reasoning.
Reggia JA, Peng Y, Bourret P.  1991.  Recent applications of competitive activation mechanisms. Neural Networks: Advances and Applications. :33-62.

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