Stephen Jose Hanson

2008
22	EE	Stephen Jose Hanson, Yaroslav O. Halchenko: Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No "Face" Identification Area. Neural Computation 20(2): 486-503 (2008)
2004
21	EE	Toshihiko Matsuka, James E. Corter, Stephen Jose Hanson: Irresistibly Attractive Fruitless Feature Dimensions. ICCM 2004: 370-371
2002
20	EE	Stephen Jose Hanson, Michiro Negishi: On the Emergence of Rules in Neural Networks. Neural Computation 14(9): 2245-2268 (2002)
2001
19	EE	Stephen Jose Hanson, Michiro Negishi, Catherine Hanson: Connectionist Neuroimaging. Emergent Neural Computational Architectures Based on Neuroscience 2001: 560-576
18	EE	Michiro Negishi, Stephen Jose Hanson: Grammar Transfer in a Second Order Recurrent Neural Network. NIPS 2001: 67-73
2000
17		Nathalie Japkowicz, Stephen Jose Hanson, Mark A. Gluck: Nonlinear Autoassociation Is Not Equivalent to PCA. Neural Computation 12(3): 531-545 (2000)
1998
16	EE	Stephen Jose Hanson: Michael Arbib's The Metaphorical Brain 2: The Sequel? Artif. Intell. 101(1-2): 311-314 (1998)
1995
15	EE	Thomas Petsche, Angelo Marcantonio, Christian Darken, Stephen Jose Hanson, Gary M. Kuhn, N. Iwan Santoso: A Neural Network Autoassociator for Induction Motor Failure Prediction. NIPS 1995: 924-930
1994
14		Robert W. Schwanke, Stephen Jose Hanson: Using Neural Networks to Modularize Software. Machine Learning 15(2): 137-168 (1994)
1993
13		Stephen Jose Hanson, Jack D. Cowan, C. Lee Giles: Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30 - December 3, 1992] Morgan Kaufmann 1993
12		Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest: Machine Learning: From Theory to Applications - Cooperative Research at Siemens and MIT Springer 1993
11		Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest: Strategic Directions in Machine Learning. Machine Learning: From Theory to Applications 1993: 1-4
10		Stephen Jose Hanson: Introduction. Machine Learning: From Theory to Applications 1993: 155-156
1992
9		John E. Moody, Stephen Jose Hanson, Richard Lippmann: Advances in Neural Information Processing Systems 4, [NIPS Conference, Denver, Colorado, USA, December 2-5, 1991] Morgan Kaufmann 1992
1990
8	EE	Stephen Jose Hanson, Mark A. Gluck: Spherical Units as Dynamic Consequential Regions. NIPS 1990: 656-664
1989
7	EE	Stephen Jose Hanson: Meiosis Networks. NIPS 1989: 533-541
6		Stephen Jose Hanson, Malcolm Bauer: Conceptual Clustering, Categorization, and Polymorphy. Machine Learning 3: 343-372 (1989)
1988
5	EE	Stephen Jose Hanson, Lorien Y. Pratt: Comparing Biases for Minimal Network Construction with Back-Propagation. NIPS 1988: 177-185
1987
4	EE	Stephen Jose Hanson, David J. Burr: Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals. NIPS 1987: 348-357
1985
3	EE	Stephen Jose Hanson, Malcolm Bauer: Machine Learning, Clustering and Polymorphy. UAI 1985: 415-428
2		Stephen Jose Hanson, Richard R. Rosinski: Programmer Perceptions of Productivity and Programming Tools. Commun. ACM 28(2): 180-189 (1985)
1984
1	EE	Stephen Jose Hanson, Robert E. Kraut, James M. Farber: Interface Design and Multivariate Analysis of UNIX Command Use. ACM Trans. Inf. Syst. 2(1): 42-57 (1984)

Coauthor Index

1	Malcolm Bauer	[3] [6]
2	David J. Burr	[4]
3	James E. Corter	[21]
4	Jack D. Cowan	[13]
5	Christian Darken	[15]
6	James M. Farber	[1]
7	C. Lee Giles (Clyde Lee Giles)	[13]
8	Mark A. Gluck	[8] [17]
9	Yaroslav O. Halchenko	[22]
10	Catherine Hanson	[19]
11	Nathalie Japkowicz	[17]
12	Robert E. Kraut	[1]
13	Gary M. Kuhn	[15]
14	Richard Lippmann	[9]
15	Angelo Marcantonio	[15]
16	Toshihiko Matsuka	[21]
17	John E. Moody	[9]
18	Michiro Negishi	[18] [19] [20]
19	Thomas Petsche	[15]
20	Lorien Y. Pratt	[5]
21	Werner Remmele	[11] [12]
22	Ronald L. Rivest	[11] [12]
23	Richard R. Rosinski	[2]
24	N. Iwan Santoso	[15]
25	Robert W. Schwanke	[14]

Colors in the list of coauthors