William Rodman Shankle

According to our database, William Rodman Shankle authored at least 16 papers between 1996 and 2011.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2011

Modeling Multitrial Free Recall with Unknown Rehearsal Times.

James Pooley, Michael D. Lee, William Shankle

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2000

CYBERCHILD: A database of the microscopic development of the postnatal human cerebral cortex from birth to 72 months.

William Rodman Shankle, Benjamin H. Landing, Michael S. Rafii, Junko Hara, James H. Fallon, A. Kimball Romney, John P. Boyd

Neurocomputing, 2000

Geometric modeling of local cortical networks.

Bruce H. McCormick, Wonryull Koh, William Rodman Shankle, James H. Fallon

Neurocomputing, 2000

Modeling neuron spatial distribution and morphology in the developing human cerebral cortex.

Bruce H. McCormick, Richard W. DeVaul, William Rodman Shankle, James H. Fallon

Neurocomputing, 2000

Estimating cortical connectivity for developing human cerebral cortex.

Junko Hara, William Rodman Shankle, James H. Fallon, Ryuta Fukuda

Neurocomputing, 2000

Proposition of cortical connectivity between 30 cytoarchitectural areas of human cerebral cortex.

Ryuta Fukuda, Junko Hara, William Rodman Shankle, Masaru Tomita

Neurocomputing, 2000

1999

Cortical atrophy in Alzheimer's disease unmasks electrically silent sulci and lowers EEG dipolarity.

Junko Hara, William Rodman Shankle, Toshimitsu Musha

IEEE Trans. Biomed. Eng., 1999

Approximating dipoles from human EEG activity: the effect of dipole source configuration on dipolarity using single dipole models.

Junko Hara, Toshimitsu Musha, William Rodman Shankle

IEEE Trans. Biomed. Eng., 1999

Two-Stage Machine Learning model for guideline development.

Subramani Mani, William Rodman Shankle, Malcolm B. Dick, Michael J. Pazzani

Artif. Intell. Medicine, 1999

Predicting human cortical connectivity for language areas using the Conel database.

Ryuta Fukuda, Junko Hara, William Rodman Shankle, Toshio Inui, Masaru Tomita

Proceedings of the International Joint Conference Neural Networks, 1999

1998

A novel use of color computer vision methods for the quantification of neurons in 3-D brain tissue samples.

David Slater, Glenn Healey, Phillip Chen-Yu Sheu, Carl Cotman, Joseph H. Su, Andrea J. Wasserman, William Rodman Shankle

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

Simple Models for Estimating Dementia Severity Using Machine Learning.

William Rodman Shankle, Subramani Mani, Malcolm B. Dick, Michael J. Pazzani

Proceedings of the MEDINFO '98, 1998

1997

Beyond Concise and Colorful: Learning Intelligible Rules.

Michael J. Pazzani, Subramani Mani, William Rodman Shankle

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (KDD-97), 1997

Differential Diagnosis of Dementia: A Knowledge Discovery and Data Mining (KDD) Approach.

Subramani Mani, William Rodman Shankle, Michael J. Pazzani, Padhraic Smyth, Malcolm B. Dick

Proceedings of the AMIA 1997, 1997

Detecting Very Early Stages of Dementia from Normal Aging with Machine Learning Methods.

William Rodman Shankle, Subramani Mani, Michael J. Pazzani, Padhraic Smyth

Proceedings of the Artificial Intelligence Medicine, 1997

1996

A machine vision system for the automated classification and counting of neurons in 3-D brain tissue samples.

David Slater, Glenn Healey, Phillip C.-Y. Sheu, Carl Cotman, Joseph H. Su, Andrea J. Wasserman, William Rodman Shankle

Proceedings of ThirdIEEE Workshop on Applications of Computer Vision, 1996