Results 241 to 250 of about 6,086,701 (288)

PEtab Select: Specification standard and supporting software for automated model selection. [PDF]

PLoS Comput Biol
Pathirana D, Bergmann FT, Doresic D, Lakrisenko P, Persson S, Neubrand N, Timmer J, Kreutz C, Binder H, Cvijovic M, Weindl D, Hasenauer J, with the PEtab Select community.   +12 more
europepmc   +1 more source

KPI‐NeRF: Hyperspectral Neural Radiance Fields from a Single Kaleidoscopic Plenoptic Image

Computer Graphics Forum, EarlyView.
KPI‐NeRF reconstructs hyperspectral light field images from a single kaleidoscopic plenoptic image. By leveraging neural radiance fields, it enables high‐quality spectral and angular de‐multiplexing for dynamic scene capture. Abstract Plenoptic imaging has excessive sampling requirements associated with the high dimensionality of the desired data.
Erqi Huang, John Restrepo, Xun Cao, Ivo Ihrke   +3 more
wiley   +1 more source

DO-PI-EATCNet: Efficient-Attention- and Dream-Optimization-Based Channel Selection for EEG Motor Imagery Classification. [PDF]

Sensors (Basel)
Shen X, Zhong H, Gu Y, Han R.
europepmc   +1 more source

Do we really need A‐shaped coordinators? A comparison across specialists versus generalists in coordinated exploration

European Management Review, EarlyView.
Abstract Coordinated exploration involves effectively integrating discoveries from different areas of expertise to identify high‐value combinations of alternatives. Extant literature suggests that a coordinator holding A‐shaped skills might play a crucial role in supporting groups in this process.
Michela Carraro, Andrea Furlan
wiley   +1 more source

Simple picture of how output from ChatGPT-like AI shifts from good to bad. [PDF]

PNAS Nexus
Johnson NF, Huo FY.
europepmc   +1 more source

Goodness‐of‐Fit Tests for Positive Quadrant Dependence

International Statistical Review, EarlyView.
Summary When two random variables are positive quadrant dependent (PQD), they are more likely to assume small (or large) values simultaneously compared with when the random variables are independent. This dependence structure is of interest in many areas, including finance, actuarial science and engineering.
Chuan‐Fa Tang, Joshua M. Tebbs
wiley   +1 more source

PETIMOT: a novel framework for inferring protein motions from sparse data using SE(3)-equivariant graph neural networks. [PDF]

Acta Crystallogr D Struct Biol
Lombard V, Van JN, Grudinin S, Laine E.
europepmc   +1 more source

A note on generalised information criteria for structured sparse models

International Statistical Review, EarlyView.
Summary We propose a generalised information criteria ( gic) that accounts for sparsity pattern in the model. We obtain both asymptotic and nonasymptotic results for model selection. Moreover, we show that the gic is useful for selecting the regularisation parameter in regularised m$$ m $$ estimation in high‐dimensional scenarios.
Eduardo Fonseca Mendes, Gabriel Jardim Pereira Pinto   +1 more
wiley   +1 more source

Generative MR Multitasking With Complex-Harmonic Cardiac Encoding: Bridging the Gap Between Gated Imaging and Real-Time Imaging. [PDF]

Magn Reson Med
Fang X, Christodoulou AG.
europepmc   +1 more source

Assessing inconsistencies in the FITradeoff method: a comparison of two preference modeling paradigms

International Transactions in Operational Research, EarlyView.
Abstract Many decision‐making processes are susceptible to errors and inconsistencies introduced by decision‐makers (DMs). The development of decision support systems (DSS) has brought about a way to guide DMs through complex decision scenarios. However, due to the complexity of the process, inconsistencies may still arise.
Evanielle Barbosa Ferreira, Lucia Reis Peixoto Roselli, Adiel Teixeira de Almeida   +2 more
wiley   +1 more source