Stephen Jose Hanson

发表

Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No Face Identification Area

Yaroslav O. Halchenko, Stephen Jose Hanson, S. Hanson, 2008, Neural Computation.

High-resolution imaging of the fusiform face area (FFA) using multivariate non-linear classifiers shows diagnosticity for non-face categories

Stephen Jose Hanson, Arielle Schmidt, S. Hanson, 2011, NeuroImage.

Neuroinformatics Original Research Article Pymvpa: a Unifying Approach to the Analysis of Neuroscientifi C Data

Stefan Pollmann, Yaroslav O. Halchenko, Per B. Sederberg, 2022 .

Programmer perceptions of productivity and programming tools

Richard R. Rosinski, Stephen Jose Hanson, S. Hanson, 1985, CACM.

Interface design and multivariate analysis of UNIX command use

Robert E. Kraut, Stephen Jose Hanson, James M. Farber, 1984, TOIS.

Connectionist Neuroimaging

Stephen Jose Hanson, Michiro Negishi, Catherine Hanson, 2001, Emergent Neural Computational Architectures Based on Neuroscience.

Six problems for causal inference from fMRI

Russell A. Poldrack, Clark Glymour, Yaroslav O. Halchenko, 2010, NeuroImage.

Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions

Sébastien Hélie, Barak A. Pearlmutter, Wei Chen, 2014, ECCV.

Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals

Stephen Jose Hanson, David J. Burr, S. Hanson, 1987, NIPS.

PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data

Stefan Pollmann, Yaroslav O. Halchenko, Per B. Sederberg, 2009, Neuroinformatics.

Michael Arbib's The Metaphorical Brain 2: The Sequel?

Stephen Jose Hanson, 1998, Artif. Intell..

Atypical Effective Connectivity of Social Brain Networks in Individuals with Autism

Clark Glymour, Stephen Jose Hanson, Catherine Hanson, 2013, Brain Connect..

Are Actor and Action Semantics Retained in Video Supervoxel Segmentation?

Chenliang Xu, Jason J. Corso, Stephen Jose Hanson, 2013, 2013 IEEE Seventh International Conference on Semantic Computing.

Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study

Clark Glymour, Joseph Ramsey, Stephen Jose Hanson, 2011, NeuroImage.

Using neural networks to modularize software

Robert W. Schwanke, Stephen Jose Hanson, S. Hanson, 2004, Machine Learning.

Adaptability of the backpropagation procedure

Nathalie Japkowicz, Stephen Jose Hanson, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Conceptual clustering, categorization, and polymorphy

Stephen Jose Hanson, Malcolm Bauer, S. Hanson, 2004, Machine Learning.

Specific neural representation for a conceptual set of behavior: pair bonding

Stephen Jose Hanson, Amanda Maria Dios, Katherine Alexander, 2013 .

Spherical Units as Dynamic Consequential Regions

Mark A. Gluck, Stephen Jose Hanson, S. Hanson, 1990, NIPS.

A Neural Network Autoassociator for Induction Motor Failure Prediction

Stephen Jose Hanson, Thomas Petsche, Christian J. Darken, 1995, NIPS.

Comparing Biases for Minimal Network Construction with Back-Propagation

Lorien Y. Pratt, Stephen Jose Hanson, S. Hanson, 1988, NIPS.

Transmodal Analysis of Neural Signals pdf

Yaroslav O. Halchenko, Michael Hanke, Christoph S. Herrmann, 2013, ArXiv.

Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning pdf

Stephen Jose Hanson, Noah Frazier-Logue, 2018, ArXiv.

Irresistibly Attractive Fruitless Feature Dimensions

James E. Corter, Stephen Jose Hanson, Toshihiko Matsuka, 2004, ICCM.

A Study of Actor and Action Semantic retention in Video Supervoxel Segmentation pdf

Chenliang Xu, Jason J. Corso, Stephen Jose Hanson, 2013, Int. J. Semantic Comput..

Brain network response underlying decisions about abstract reinforcers

Stephen Jose Hanson, Catherine Hanson, Colleen Mills-Finnerty, 2014, NeuroImage.

The RUMBA software

Giorgio Grasso, Stephen Jose Hanson, Benjamin Martin Bly, 2007, Neuroinformatics.

Nonlinear Autoassociation Is Not Equivalent to PCA

Nathalie Japkowicz, Mark A. Gluck, Stephen Jose Hanson, 2000, Neural Computation.

Meiosis Networks

Stephen Jose Hanson, S. Hanson, 1989, NIPS.

Machine Learning, Clustering and Polymorphy pdf

Stephen Jose Hanson, Malcolm Bauer, S. Hanson, 1985, UAI.

Solving the brain synchrony eigenvalue problem: conservation of temporal dynamics (fMRI) over subjects doing the same task

Stephen Jose Hanson, Catherine Hanson, A. D. Gagliardi, 2008, Journal of Computational Neuroscience.

CONCEPTUAL CLUSTERING AND CATEGORIZATION

Stephen Jose Hanson, S. Hanson, 1990 .

On the Emergence of Rules in Neural Networks

Stephen Jose Hanson, Michiro Negishi, S. Hanson, 2002, Neural Computation.

Strategic Directions in Machine Learning

Ronald L. Rivest, Stephen Jose Hanson, Werner Remmele, 1993, Machine Learning: From Theory to Applications.

Grammar Transfer in a Second Order Recurrent Neural Network

Stephen Jose Hanson, Michiro Negishi, 2001, NIPS.

Fusion of Functional Brain Imaging Modalities via Linear Programming

Barak A. Pearlmutter, Yaroslav O. Halchenko, Stephen Jose Hanson, .