Neuroprediction, violence, and the law: Setting the stage

T Nadelhoffer, S Bibas, S Grafton, KA Kiehl… - Neuroethics, 2012 - Springer
In this paper, our goal is to (a) survey some of the legal contexts within which violence risk
assessment already plays a prominent role,(b) explore whether developments in …

Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins

M Stražar, M Žitnik, B Zupan, J Ule, T Curk - Bioinformatics, 2016 - academic.oup.com
Motivation: RNA binding proteins (RBPs) play important roles in post-transcriptional control
of gene expression, including splicing, transport, polyadenylation and RNA stability. To …

Direct and simultaneous estimation of cardiac four chamber volumes by multioutput sparse regression

X Zhen, H Zhang, A Islam, M Bhaduri, I Chan, S Li - Medical image analysis, 2017 - Elsevier
Cardiac four-chamber volume estimation serves as a fundamental and crucial role in clinical
quantitative analysis of whole heart functions. It is a challenging task due to the huge …

[HTML][HTML] Automated estimation of ankle muscle EMG envelopes and resulting plantar-dorsi flexion torque from 64 garment-embedded electrodes uniformly distributed …

D Simonetti, B Koopman, M Sartori - Journal of Electromyography and …, 2022 - Elsevier
The design of personalized movement training and rehabilitation pipelines relies on the
ability of assessing the activation of individual muscles concurrently with the resulting joint …

Structure preserving non-negative matrix factorization for dimensionality reduction

Z Li, J Liu, H Lu - Computer Vision and Image Understanding, 2013 - Elsevier
The problem of dimensionality reduction is to map data from high dimensional spaces to low
dimensional spaces. In the process of dimensionality reduction, the data structure, which is …

Nonnegative factorization of diffusion tensor images and its applications

Y Xie, J Ho, BC Vemuri - … Conference on Information Processing in Medical …, 2011 - Springer
This paper proposes a novel method for computing linear basis images from tensor-valued
image data. As a generalization of the nonnegative matrix factorization, the proposed …

Projective matrix factorization with unified embedding for social image tagging

Z Li, J Liu, J Tang, H Lu - Computer Vision and Image Understanding, 2014 - Elsevier
This paper presents a general formulation, named ProJective Matrix Factorization with
unified embedding (PJMF), by which social image retagging is transformed to the nearest …

[图书][B] Multi-output multi-modal parts-based regression for high dimensional data with low sample size

S Joshi - 2012 - search.proquest.com
It is generally hypothesized that there are significant differences in the structural anatomy of
the brains of normal people when compared to those who are diagnosed as psychopaths …

Intra-class multi-output regression based subspace analysis

S Karthikeyan, S Joshi, BS Manjunath… - 2012 19th IEEE …, 2012 - ieeexplore.ieee.org
A common challenge when dealing with heterogenous tasks such as face expression
analysis, face and object recognition is high dimensionality and extreme appearance …

[PDF][PDF] Thomas Nadelhoffer, Stephanos Bibas, Scott Grafton, Kent A. Kiehl, Andrew Mansfield, Walter Sinnott-Armstrong &

M Gazzaniga - researchgate.net
In this paper, our goal is to (a) survey some of the legal contexts within which violence risk
assessment already plays a prominent role,(b) explore whether developments in …