Stephen Jose Hanson

28 papers A 1B 2Journal 12Unranked 10
YearRankTypeTitle / Venue / Authors
2016 B conf
Deep Learning and Attentional Bias in Human Category Learning.
CogSci
Leyla Roksan Caglar, Stephen Jose Hanson
2014 J jnl
Brain network response underlying decisions about abstract reinforcers.
NeuroImage
Colleen Mills-Finnerty, Catherine Hanson, Stephen Jose Hanson
2013 — conf
Are Actor and Action Semantics Retained in Video Supervoxel Segmentation?
ICSC
Chenliang Xu, Richard F. Doell, Stephen Jose Hanson, Catherine Hanson, Jason J. Corso
2013 J jnl
Machine Learning, Clustering, and Polymorphy
CoRR
Stephen Jose Hanson, Malcolm Bauer
2013 J jnl
Transmodal Analysis of Neural Signals.
CoRR
Yaroslav O. Halchenko, Michael Hanke, James V. Haxby, Stephen Jose Hanson, Christoph S. Herrmann
2008 J jnl
Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No "Face" Identification Area.
Neural Comput.
Stephen Jose Hanson, Yaroslav O. Halchenko
2004 — conf
Irresistibly Attractive Fruitless Feature Dimensions.
ICCM
Toshihiko Matsuka, James E. Corter, Stephen Jose Hanson
2004 J jnl
The RUMBA software - Tools for neuroimaging data analysis.
Neuroinformatics
Benjamin Martin Bly, Donovan Rebbechi, Stephen Jose Hanson, Giorgio Grasso
2002 J jnl
On the Emergence of Rules in Neural Networks.
Neural Comput.
Stephen Jose Hanson, Michiro Negishi
2001 — conf
Grammar Transfer in a Second Order Recurrent Neural Network.
NIPS
Michiro Negishi, Stephen Jose Hanson
2000 J jnl
Nonlinear Autoassociation Is Not Equivalent to PCA.
Neural Comput.
Nathalie Japkowicz, Stephen Jose Hanson, Mark A. Gluck
1999 B conf
Adaptability of the backpropagation procedure.
IJCNN
Nathalie Japkowicz, Stephen Jose Hanson
1998 J jnl
Michael Arbib's The Metaphorical Brain 2: The Sequel?
Artif. Intell.
Stephen Jose Hanson
1995 — conf
A Neural Network Autoassociator for Induction Motor Failure Prediction.
NIPS
Thomas Petsche, Angelo Marcantonio, Christian Darken, Stephen Jose Hanson, Gary M. Kuhn, N. Iwan Santoso
1994 J jnl
Using Neural Networks to Modularize Software.
Mach. Learn.
Robert W. Schwanke, Stephen Jose Hanson
1993 — ed.
Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30 - December 3, 1992]
NIPS
Stephen Jose Hanson, Jack D. Cowan, C. Lee Giles
1993 — conf
Introduction.
Machine Learning: From Theory to Applications
Stephen Jose Hanson
1993 — ed.
Machine Learning: From Theory to Applications - Cooperative Research at Siemens and MIT
Machine Learning: From Theory to Applications
Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest
1993 — conf
Strategic Directions in Machine Learning.
Machine Learning: From Theory to Applications
Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest
1992 — ed.
Advances in Neural Information Processing Systems 4, [NIPS Conference, Denver, Colorado, USA, December 2-5, 1991]
NIPS
John E. Moody, Stephen Jose Hanson, Richard Lippmann
1990 — conf
Spherical Units as Dynamic Consequential Regions.
NIPS
Stephen Jose Hanson, Mark A. Gluck
1989 J jnl
Conceptual Clustering, Categorization, and Polymorphy.
Mach. Learn.
Stephen Jose Hanson, Malcolm Bauer
1989 — conf
Meiosis Networks.
NIPS
Stephen Jose Hanson
1988 — conf
Comparing Biases for Minimal Network Construction with Back-Propagation.
NIPS
Stephen Jose Hanson, Lorien Y. Pratt
1987 — conf
Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals.
NIPS
Stephen Jose Hanson, David J. Burr
1985 A conf
Machine Learning, Clustering and Polymorphy.
UAI
Stephen Jose Hanson, Malcolm Bauer
1985 J jnl
Programmer Perceptions of Productivity and Programming Tools.
Commun. ACM
Stephen Jose Hanson, Richard R. Rosinski
1984 J jnl
Interface Design and Multivariate Analysis of UNIX Command Use.
ACM Trans. Inf. Syst.
Stephen Jose Hanson, Robert E. Kraut, James M. Farber