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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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last updated on 2024-05-02 20:57 CEST by the dblp team
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