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Stephen Jose Hanson
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2020 – today
- 2023
- [j22]Ruben Sanchez-Romero, Takuya Ito, Ravi D. Mill, Stephen José Hanson, Michael W. Cole:
Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations. NeuroImage 278: 120300 (2023) - [i5]Stephen José Hanson, Vivek Yadav, Catherine Hanson:
Dense Sample Deep Learning. CoRR abs/2307.10991 (2023) - 2021
- [c17]Leyla Roksan Caglar, Catherine Hanson, Stephen José Hanson:
Uncovering the Metricity of Representational Spaces in the Brain: Evidence from Colors and Letters. CogSci 2021 - 2020
- [j21]Colleen Mills-Finnerty, Catherine Hanson, Mohannad Khadr, Stephen José Hanson:
Computations and Connectivity Underlying Aversive Counterfactuals. Brain Connect. 10(9): 467-478 (2020) - [j20]Noah Frazier-Logue, Stephen José Hanson:
The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise. Neural Comput. 32(5): 1018-1032 (2020)
2010 – 2019
- 2018
- [i4]Noah Frazier-Logue, Stephen José Hanson:
Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning. CoRR abs/1808.03578 (2018) - 2016
- [c16]Leyla Roksan Caglar, Stephen Jose Hanson:
Deep Learning and Attentional Bias in Human Category Learning. CogSci 2016 - 2014
- [j19]Colleen Mills-Finnerty, Catherine Hanson, Stephen Jose Hanson:
Brain network response underlying decisions about abstract reinforcers. NeuroImage 103: 48-54 (2014) - [c15]Andrei Barbu, Daniel Paul Barrett, Wei Chen, Siddharth Narayanaswamy, Caiming Xiong, Jason J. Corso, Christiane D. Fellbaum, Catherine Hanson, Stephen José Hanson, Sébastien Hélie, Evguenia Malaia, Barak A. Pearlmutter, Jeffrey Mark Siskind, Thomas Michael Talavage, Ronnie B. Wilbur:
Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions. ECCV (5) 2014: 612-627 - 2013
- [j18]Catherine Hanson, Stephen José Hanson, Joseph D. Ramsey, Clark Glymour:
Atypical Effective Connectivity of Social Brain Networks in Individuals with Autism. Brain Connect. 3(6): 578-589 (2013) - [j17]Chenliang Xu, Richard F. Doell, Stephen José Hanson, Catherine Hanson, Jason J. Corso:
A Study of Actor and Action Semantic retention in Video Supervoxel Segmentation. Int. J. Semantic Comput. 7(4): 353-376 (2013) - [c14]Chenliang Xu, Richard F. Doell, Stephen Jose Hanson, Catherine Hanson, Jason J. Corso:
Are Actor and Action Semantics Retained in Video Supervoxel Segmentation? ICSC 2013: 286-293 - [i3]Stephen Jose Hanson, Malcolm Bauer:
Machine Learning, Clustering, and Polymorphy. CoRR abs/1304.3432 (2013) - [i2]Yaroslav O. Halchenko, Michael Hanke, James V. Haxby, Stephen Jose Hanson, Christoph S. Herrmann:
Transmodal Analysis of Neural Signals. CoRR abs/1307.2150 (2013) - [i1]Chenliang Xu, Richard F. Doell, Stephen José Hanson, Catherine Hanson, Jason J. Corso:
A Study of Actor and Action Semantic Retention in Video Supervoxel Segmentation. CoRR abs/1311.3318 (2013) - 2011
- [j16]Stephen José Hanson, Arielle Schmidt:
High-resolution imaging of the fusiform face area (FFA) using multivariate non-linear classifiers shows diagnosticity for non-face categories. NeuroImage 54(2): 1715-1734 (2011) - [j15]Joseph D. Ramsey, Stephen José Hanson, Clark Glymour:
Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study. NeuroImage 58(3): 838-848 (2011) - 2010
- [j14]Joseph D. Ramsey, Stephen José Hanson, Catherine Hanson, Yaroslav O. Halchenko, Russell A. Poldrack, Clark Glymour:
Six problems for causal inference from fMRI. NeuroImage 49(2): 1545-1558 (2010)
2000 – 2009
- 2009
- [j13]Michael Hanke, Yaroslav O. Halchenko, Per B. Sederberg, Emanuele Olivetti, Ingo Fründ, Jochem W. Rieger, Christoph S. Herrmann, James V. Haxby, Stephen José Hanson, Stefan Pollmann:
PyMVPA: a unifying approach to the analysis of neuroscientific data. Frontiers Neuroinformatics 3: 3 (2009) - [j12]Stephen José Hanson, Alessandro D. Gagliardi, Catherine Hanson:
Solving the brain synchrony eigenvalue problem: conservation of temporal dynamics (fMRI) over subjects doing the same task. J. Comput. Neurosci. 27(1): 103-114 (2009) - [j11]Michael Hanke, Yaroslav O. Halchenko, Per B. Sederberg, Stephen José Hanson, James V. Haxby, Stefan Pollmann:
PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data. Neuroinformatics 7(1): 37-53 (2009) - 2008
- [j10]Stephen Jose Hanson, Yaroslav O. Halchenko:
Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No "Face" Identification Area. Neural Comput. 20(2): 486-503 (2008) - 2004
- [j9]Stephen José Hanson, Toshihiko Matsuka, James V. Haxby:
Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a "face" area? NeuroImage 23(1): 156-166 (2004) - [j8]Benjamin Martin Bly, Donovan Rebbechi, Stephen Jose Hanson, Giorgio Grasso:
The RUMBA software - Tools for neuroimaging data analysis. Neuroinformatics 2(1): 71-100 (2004) - [c13]Toshihiko Matsuka, James E. Corter, Stephen Jose Hanson:
Irresistibly Attractive Fruitless Feature Dimensions. ICCM 2004: 370-371 - 2002
- [j7]Stephen Jose Hanson, Michiro Negishi:
On the Emergence of Rules in Neural Networks. Neural Comput. 14(9): 2245-2268 (2002) - 2001
- [c12]Stephen José Hanson, Michiro Negishi, Catherine Hanson:
Connectionist Neuroimaging. Emergent Neural Computational Architectures Based on Neuroscience 2001: 560-576 - [c11]Michiro Negishi, Stephen Jose Hanson:
Grammar Transfer in a Second Order Recurrent Neural Network. NIPS 2001: 67-73 - 2000
- [j6]Nathalie Japkowicz, Stephen Jose Hanson, Mark A. Gluck:
Nonlinear Autoassociation Is Not Equivalent to PCA. Neural Comput. 12(3): 531-545 (2000)
1990 – 1999
- 1999
- [c10]Nathalie Japkowicz, Stephen Jose Hanson:
Adaptability of the backpropagation procedure. IJCNN 1999: 1710-1715 - 1998
- [j5]Stephen Jose Hanson:
Michael Arbib's The Metaphorical Brain 2: The Sequel? Artif. Intell. 101(1-2): 311-314 (1998) - 1995
- [c9]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
- [j4]Robert W. Schwanke, Stephen Jose Hanson:
Using Neural Networks to Modularize Software. Mach. Learn. 15(2): 137-168 (1994) - 1993
- [c8]Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest:
Strategic Directions in Machine Learning. Machine Learning: From Theory to Applications 1993: 1-4 - [c7]Stephen Jose Hanson:
Introduction. Machine Learning: From Theory to Applications 1993: 155-156 - [e3]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, ISBN 1-55860-274-7 [contents] - [e2]Stephen Jose Hanson, Werner Remmele, Ronald L. Rivest:
Machine Learning: From Theory to Applications - Cooperative Research at Siemens and MIT. Lecture Notes in Computer Science 661, Springer 1993, ISBN 3-540-56483-7 [contents] - 1992
- [e1]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, ISBN 1-55860-222-4 [contents] - 1990
- [c6]Stephen Jose Hanson, Mark A. Gluck:
Spherical Units as Dynamic Consequential Regions. NIPS 1990: 656-664
1980 – 1989
- 1989
- [j3]Stephen Jose Hanson, Malcolm Bauer:
Conceptual Clustering, Categorization, and Polymorphy. Mach. Learn. 3: 343-372 (1989) - [c5]Stephen Jose Hanson:
Meiosis Networks. NIPS 1989: 533-541 - 1988
- [c4]Stephen Jose Hanson, Lorien Y. Pratt:
Comparing Biases for Minimal Network Construction with Back-Propagation. NIPS 1988: 177-185 - 1987
- [c3]Stephen Jose Hanson, David J. Burr:
Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals. NIPS 1987: 348-357 - 1985
- [j2]Stephen Jose Hanson, Richard R. Rosinski:
Programmer Perceptions of Productivity and Programming Tools. Commun. ACM 28(2): 180-189 (1985) - [c2]Stephen Jose Hanson, Malcolm Bauer:
Machine Learning, Clustering and Polymorphy. UAI 1985: 415-428 - 1984
- [j1]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) - 1983
- [c1]Robert E. Kraut, Stephen José Hanson, James M. Farber:
Command use and interface design. CHI 1983: 120-124
Coauthor Index
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