Jim Reggia
James A. Reggia is a professor emeritus of computer science with joint appointments in UMIACS and in the Department of Neurology at the University of Maryland, Baltimore.
His research interests span neural computation, artificial intelligence, genetic programming, and artificial life.
Reggia has authored more than 200 refereed journal and conference papers in these areas. Recently he has focused on developing new methods for creating large-scale integrated neuro-computational systems as a basis or machine intelligence and neurocognitive modeling. This work has included modeling of specific cortical regions for visual and language processing, and modeling of basic cortical mechanisms, such as self-organizing map formation, learning to process temporal sequences, emergence of hemispheric asymmetries and specialization, and working memory.
His past work has been funded by DARPA, ONR, NSF, NIH, and multiple industry sources. He routinely teaches computer science graduate courses in neural computation, artificial intelligence, machine learning, evolutionary computation, and artificial life.
Reggia holds a doctorate in computer science from the University of Maryland and an M.D. in clinical neurology.
Go here to view Reggia‘s academic publications.
Publications
1994
1994. High-specificity neurological localization using a connectionist model. Artificial Intelligence in Medicine. 6(6):521-532.
1994. Map formation in proprioceptive cortex.. International journal of neural systems. 5(2):87-87.
1994. Adaptation of noncompetitive and competitive neural networks to focal lesions. Journal of Artificial Neural Networks. 1:51-60.
1994. An extended cellular space method for simulating autocatalytic oligonucleotides. Computers & chemistry. 18(1):33-43.
1994. Interpretation of Doppler blood flow velocity waveforms using neural networks.. Proceedings of the Annual Symposium on Computer Application in Medical Care. :865-865.
1994. Effects of normalization constraints on competitive learning. Neural Networks, IEEE Transactions on. 5(3):502-504.
1994. A neural model of cortical map reorganization following a focal lesion. Artificial Intelligence in Medicine. 6(5):383-400.
1994. Cortical map reorganization as a competitive process. Neural Computation. 6(1):1-13.
1993
1993. A connectionist approach to diagnostic problem solving using causal networks. Information sciences. 70(1-2):27-48.
1993. Simple systems that exhibit template-directed replication. Science. 259:1282-1287.
1993. Neural computation in medicine. Artificial Intelligence in Medicine. 5(2):143-157.
1993. Learning competition and cooperation. Neural computation. 5(2):242-259.
1993. Local conditions for phase transitions in neural networks with variable connection strengths. Neural networks. 6(5):667-676.
1993. Multiple disorder diagnosis with adaptive competitive neural networks. Artificial intelligence in medicine. 5(6):469-487.
1992
1992. Software approaches to segmentation analysis. Computer Science Technical Report Series; Vol. CS-TR-2991. :24-24.
1992. A connectionist approach to vertex covering problems. Int’l J. Neural Systems. 3(1):43-56.
1992. A competitive distribution theory of neocortical dynamics. Neural Computation. 4(3):287-317.
1992. Learning visual coordinate transformations with competition. Neural Networks, 1992. IJCNN., International Joint Conference on. 4:49-54.
1992. Lateral cortical inhibition without lateral inhibitory connections. Neural Networks, 1992. IJCNN., International Joint Conference on. 3:415-420vol.3-415-420vol.3.
1991
1991. Competitive activation mechanisms in connectionist models. Advances in control networks and large-scale parallel distributed processing models. 1:119-119.
1991. Recent applications of competitive activation mechanisms. Neural Networks: Advances and Applications. :33-62.
1991. An experimental study of criteria for hypothesis plausibility. Journal of Experimental & Theoretical Artificial Intelligence. 3(2):129-144.
1990
1990. Diagnostic reasoning at multiple levels of abstraction. AI Systems in Government Conference, 1990. Proceedings., Fifth Annual. :168-175.
1990. Connectionist models and information retrieval. Annual review of information science and technology. 25:209-262.
1990. Supervised and reinforced competitive learning. Neural Networks, 1990., 1990 IJCNN International Joint Conference on. :563-567.
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.
1990. Phase transitions in connectionist models having rapidly varying connection strengths. Neural Computation. 2(4):523-535.
1990. Competitive learning using competitive activation rules. Neural Networks, 1990., 1990 IJCNN International Joint Conference on. :285-291.
1990. Modeling diagnostic problem-solving at multiple levels of abstraction. Artificial Intelligence Applications, 1990., Sixth Conference on. :55-61vol.1-55-61vol.1.
1989
1989. Parsimonious covering as a method for natural language interfaces to expert systems* 1. Artificial Intelligence in Medicine. 1(1):49-60.
1989. A connectionist model for diagnostic problem solving. Systems, Man and Cybernetics, IEEE Transactions on. 19(2):285-298.
1989. A comfort measure for diagnostic problem solving. Information Sciences. 47(2):149-184.
1989. Functional and psychosocial effects of multimodality limb-sparing therapy in patients with soft tissue sarcomas. Journal of Clinical Oncology. 7(9):1217-1217.
1989. A data flow implementation of a competition-based connectionist model* 1. Journal of Parallel and Distributed Computing. 6(3):704-714.
1989. Generating plausible diagnostic hypotheses with self-processing causal networks. Journal of Experimental & Theoretical Artificial Intelligence. 1(2):91-112.
1989. A method for interactive satellite failure diagnosis: Towards a connectionist solution. NASA. Goddard Space Flight Center, The 1989 Goddard Conference on Space Applications of Artificial Intelligence p 143-152(SEE N 89-26578 20-63).
1989. Parallel plan execution with self-processing networks. Telematics and Informatics. 6(3-4):145-157.
1989. A connectionist model for dynamic control. Telematics and Informatics. 6(3-4):375-390.
1989. Methods for deriving competitive activation mechanisms. Neural Networks, 1989. IJCNN., International Joint Conference on. :357-363vol.1-357-363vol.1.
1988
1988. Parallel set covering algorithms. Artificial Intelligence Applications, 1988., Proceedings of the Fourth Conference on. :274-279.
1988. A general-purpose simulation environment for developing connectionist models. Simulation. 51(1):5-5.
1988. Expert system development: letting the domain specialist directly author knowledge bases. Expert systems: the user interface. :37-56.
1988. Self-processing networks and their biomedical implications. Proceedings of the IEEE. 76(6):680-692.
1988. Competitive dynamics in a dual-route connectionist model of print-to-sound transformation. Complex Systems. 2(5):509-547.
1988. Artificial neural systems in medical science and practice.. MD computing: computers in medical practice. 5(3):4-4.
1988. Analysis of competition-based spreading activation in connectionist models. International journal of man-machine studies. 28(1):77-97.
1987
1987. A probabilistic causal model for diagnostic problem solving (parts 1 and 2). IEEE Transactions on Systems, Man and Cybernetics. :146-162.
1987. Diagnostic problem-solving with causal chaining. International Journal of Intelligent Systems. 2(3):265-302.
1987. Modeling diagnostic reasoning: a summary of parsimonious covering theory. Computer methods and programs in biomedicine. 25(2):125-134.
1987. Properties of a competition-based activation mechanism in neuromimetic network models. Proceedings of the First International Conference on Neural Networks.
1986
1986. Using abductive inferencing to derive complex error classifications for discrete sequential processes. Proceedings of the 19th annual symposium on Simulation. :207-225.
1986. The parsimonious covering model for inexact abductive reasoning in diagnostic systems. Recent Developments in the Theory and Applications of Fuzzy Sets. Proceedings of NAFIPS. :86-1986.
1986. A comparative analysis of methods for expert systems. International journal of man-machine studies. 24(5):475-499.
1986. Relationships between deductive and abductive inference in knowledge-based diagnostic problem solving. Expert Database Systems: Proceedings of the First International Workshop. New York: Benjamin Cummings.
1986. Modelling reading aloud and its relevance to acquired dyslexia. Computer methods and programs in biomedicine. 22(1):13-19.
1985
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.
1985. Answer Justification in Diagnostic Expert Systems-Part II: Supporting Plausible Justifications. Biomedical Engineering, IEEE Transactions on. (4):268-272.
1985. Abductive inference. Proceedigns of the Expert Systems in Government Symposium. :484-489.
1985. Answer justification in abductive expert systems for diagnostic problem solving. IEEE Transactions on Biomedical Engineering.
1985. A formal model of diagnostic inference, II. Algorithmic solution and application. Information Sciences. 37(1-3):257-285.
1985. DS Nau, and PY Wang. A formal model of diagnostic inference. Information Sciences. 37:227-285.
1985. A formal model of abductive inference. Information Sciences. 37:227-285.
1984
1984. Computer-aided assessment of transient ischemic attacks. A clinical evaluation.. Archives of neurology. 41(12):1248-1248.
1984. SLIPS. Journal of Medical Systems. 8(3):197-204.
1984. An abductive non-monotonic logic. Workshop on Nonmonotonic Reasoning.