Command use and interface design. - Robert E. Kraut; Stephen José Hanson; James M. Farber (CHI, 1983)

Interface Design and Multivariate Analysis of UNIX Command Use. - Stephen Jose Hanson; Robert E. Kraut; James M. Farber (ACM Trans. Inf. Syst., 1984)

Machine Learning, Clustering and Polymorphy. - Stephen Jose Hanson; Malcolm Bauer (UAI, 1985)

Programmer Perceptions of Productivity and Programming Tools. - Stephen Jose Hanson; Richard R. Rosinski (Commun. ACM, 1985)

Minkowski-r Back-Propagation: Learning in Connectionist Models with Non-Euclidian Error Signals. - Stephen Jose Hanson; David J. Burr (NIPS, 1987)

Comparing Biases for Minimal Network Construction with Back-Propagation. - Stephen Jose Hanson; Lorien Y. Pratt (NIPS, 1988)

Meiosis Networks. - Stephen Jose Hanson (NIPS, 1989)

Conceptual Clustering, Categorization, and Polymorphy. - Stephen Jose Hanson; Malcolm Bauer (Mach. Learn., 1989)

Spherical Units as Dynamic Consequential Regions. - Stephen Jose Hanson; Mark A. Gluck (NIPS, 1990)

Introduction. - Stephen Jose Hanson (Machine Learning: From Theory to Applications, 1993)

Strategic Directions in Machine Learning. - Stephen Jose Hanson; Werner Remmele; Ronald L. Rivest (Machine Learning: From Theory to Applications, 1993)

Using Neural Networks to Modularize Software. - Robert W. Schwanke; Stephen Jose Hanson (Mach. Learn., 1994)

A Neural Network Autoassociator for Induction Motor Failure Prediction. - Thomas Petsche; Angelo Marcantonio; Christian Darken; Stephen Jose Hanson; Gary M. Kuhn; N. Iwan Santoso (NIPS, 1995)

Michael Arbib's The Metaphorical Brain 2: The Sequel? - Stephen Jose Hanson (Artif. Intell., 1998)

Adaptability of the backpropagation procedure. - Nathalie Japkowicz; Stephen Jose Hanson (IJCNN, 1999)

Nonlinear Autoassociation Is Not Equivalent to PCA. - Nathalie Japkowicz; Stephen Jose Hanson; Mark A. Gluck (Neural Comput., 2000)

Connectionist Neuroimaging. - Stephen José Hanson; Michiro Negishi; Catherine Hanson (Emergent Neural Computational Architectures Based on Neuroscience, 2001)

Grammar Transfer in a Second Order Recurrent Neural Network. - Michiro Negishi; Stephen Jose Hanson (NIPS, 2001)

On the Emergence of Rules in Neural Networks. - Stephen Jose Hanson; Michiro Negishi (Neural Comput., 2002)

Irresistibly Attractive Fruitless Feature Dimensions. - Toshihiko Matsuka; James E. Corter; Stephen Jose Hanson (ICCM, 2004)

Combinatorial codes in ventral temporal lobe for object recognition: Haxby (2001) revisited: is there a "face" area? - Stephen José Hanson; Toshihiko Matsuka; James V. Haxby (NeuroImage, 2004)

The RUMBA software - Tools for neuroimaging data analysis. - Benjamin Martin Bly; Donovan Rebbechi; Stephen Jose Hanson; Giorgio Grasso (Neuroinformatics, 2004)

Brain Reading Using Full Brain Support Vector Machines for Object Recognition: There Is No "Face" Identification Area. - Stephen Jose Hanson; Yaroslav O. Halchenko (Neural Comput., 2008)

PyMVPA: a unifying approach to the analysis of neuroscientific data. - 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 (Frontiers Neuroinformatics, 2009)

Solving the brain synchrony eigenvalue problem: conservation of temporal dynamics (fMRI) over subjects doing the same task. - Stephen José Hanson; Alessandro D. Gagliardi; Catherine Hanson (J. Comput. Neurosci., 2009)

PyMVPA: a Python Toolbox for Multivariate Pattern Analysis of fMRI Data. - Michael Hanke; Yaroslav O. Halchenko; Per B. Sederberg; Stephen José Hanson; James V. Haxby; Stefan Pollmann (Neuroinformatics, 2009)

Six problems for causal inference from fMRI. - Joseph D. Ramsey; Stephen José Hanson; Catherine Hanson; Yaroslav O. Halchenko; Russell A. Poldrack; Clark Glymour (NeuroImage, 2010)

High-resolution imaging of the fusiform face area (FFA) using multivariate non-linear classifiers shows diagnosticity for non-face categories. - Stephen José Hanson; Arielle Schmidt (NeuroImage, 2011)

Multi-subject search correctly identifies causal connections and most causal directions in the DCM models of the Smith et al. simulation study. - Joseph D. Ramsey; Stephen José Hanson; Clark Glymour (NeuroImage, 2011)

Are Actor and Action Semantics Retained in Video Supervoxel Segmentation? - Chenliang Xu; Richard F. Doell; Stephen Jose Hanson; Catherine Hanson; Jason J. Corso (ICSC, 2013)

Atypical Effective Connectivity of Social Brain Networks in Individuals with Autism. - Catherine Hanson; Stephen José Hanson; Joseph D. Ramsey; Clark Glymour (Brain Connect., 2013)

Transmodal Analysis of Neural Signals. - Yaroslav O. Halchenko; Michael Hanke; James V. Haxby; Stephen Jose Hanson; Christoph S. Herrmann (CoRR, 2013)

A Study of Actor and Action Semantic retention in Video Supervoxel Segmentation. - Chenliang Xu; Richard F. Doell; Stephen José Hanson; Catherine Hanson; Jason J. Corso (Int. J. Semantic Comput., 2013)

Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions. - Andrei Barbu; Daniel Paul Barrett; Wei Chen 134; Siddharth Narayanaswamy; Caiming Xiong; Jason J. Corso; Christiane D. Fellbaum; Catherine Hanson; Stephen José Hanson; Sébastien Hélie; Evguenia Malaia; Barak A. Pearlmutter; et al. (ECCV (5), 2014)

Brain network response underlying decisions about abstract reinforcers. - Colleen Mills-Finnerty; Catherine Hanson; Stephen Jose Hanson (NeuroImage, 2014)

Deep Learning and Attentional Bias in Human Category Learning. - Leyla Roksan Caglar; Stephen Jose Hanson (CogSci, 2016)

Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning. - Noah Frazier-Logue; Stephen José Hanson (CoRR, 2018)

Computations and Connectivity Underlying Aversive Counterfactuals. - Colleen Mills-Finnerty; Catherine Hanson; Mohannad Khadr; Stephen José Hanson (Brain Connect., 2020)

The Stochastic Delta Rule: Faster and More Accurate Deep Learning Through Adaptive Weight Noise. - Noah Frazier-Logue; Stephen José Hanson (Neural Comput., 2020)

Uncovering the Metricity of Representational Spaces in the Brain: Evidence from Colors and Letters. - Leyla Roksan Caglar; Catherine Hanson; Stephen José Hanson (CogSci, 2021)

Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations. - Ruben Sanchez-Romero; Takuya Ito; Ravi D. Mill; Stephen José Hanson; Michael W. Cole (NeuroImage, 2023)

Dense Sample Deep Learning. - Stephen José Hanson; Vivek Yadav; Catherine Hanson (Neural Comput., 2024)