On the public citation graph

Nest: Neural Estimation by Sequential Testing

https://doi.org/10.2139/ssrn.4862783
0 signed · 50 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10162-013-0396-xopenalex-extracted
Classifying Human Audiometric Phenotypes of Age-Related Hearing Loss from Animal Models
inferredcites →https://doi.org/10.1007/s11222-021-10014-wopenalex-extracted
Evaluating Gaussian process metamodels and sequential designs for noisy level set estimation
inferredcites →https://doi.org/10.1016/0042-6989(81)90115-2openalex-extracted
On the psychometric function for contrast detection
inferredcites →https://doi.org/10.1016/0042-6989(94)90039-6openalex-extracted
Efficient and unbiased modifications of the QUEST threshold method: Theory, simulations, experimental evaluation and practical implementation
inferredcites →https://doi.org/10.1016/0042-6989(95)00016-sopenalex-extracted
Adaptive psychophysical procedures
inferredcites →https://doi.org/10.1016/0893-6080(89)90020-8openalex-extracted
Multilayer feedforward networks are universal approximators
inferredcites →https://doi.org/10.1016/0893-6080(91)90033-2openalex-extracted
Creating artificial neural networks that generalize
inferredcites →https://doi.org/10.1016/j.visres.2006.04.022openalex-extracted
Bayesian adaptive estimation of threshold versus contrast external noise functions: The quick TvC method
inferredcites →https://doi.org/10.1016/s0042-6989(98)00285-5openalex-extracted
Bayesian adaptive estimation of psychometric slope and threshold
inferredcites →https://doi.org/10.1037//0033-295x.82.6.483openalex-extracted
Parallel psychometric functions from a set of independent detectors.
inferredcites →https://doi.org/10.1038/s41592-019-0686-2openalex-extracted
SciPy 1.0: fundamental algorithms for scientific computing in Python
inferredcites →https://doi.org/10.1088/0954-898x/8/3/004openalex-extracted
Optimal ensemble averaging of neural networks
inferredcites →https://doi.org/10.1097/aud.0000000000000186openalex-extracted
Fast, Continuous Audiogram Estimation Using Machine Learning
inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-extracted
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
inferredcites →https://doi.org/10.1109/jproc.2015.2494218openalex-extracted
Taking the Human Out of the Loop: A Review of Bayesian Optimization
inferredcites →https://doi.org/10.1109/tpami.2018.2876413openalex-extracted
Approximate Fisher Information Matrix to Characterize the Training of Deep Neural Networks
inferredcites →https://doi.org/10.1109/wifs49906.2020.9360887openalex-extracted
Fast Monte Carlo Dropout and Error Correction for Radio Transmitter Classification
inferredcites →https://doi.org/10.1115/1.4010337openalex-extracted
A Statistical Distribution Function of Wide Applicability
inferredcites →https://doi.org/10.1117/3.353254openalex-extracted
Contrast Sensitivity of the Human Eye and Its Effects on Image Quality
inferredcites →https://doi.org/10.1145/3564241openalex-extracted
Perceptual Visibility Model for Temporal Contrast Changes in Periphery
inferredcites →https://doi.org/10.1162/neco.1992.4.4.590openalex-extracted
Information-Based Objective Functions for Active Data Selection
inferredcites →https://doi.org/10.1163/187847510x532694openalex-extracted
Functional Adaptive Sequential Testing
inferredcites →https://doi.org/10.1167/10.3.17openalex-extracted
Bayesian adaptive estimation of the contrast sensitivity function: The quick CSF method
inferredcites →https://doi.org/10.1167/14.7.15openalex-extracted
A formula for human retinal ganglion cell receptive field density as a function of visual field location
inferredcites →https://doi.org/10.1167/17.3.10openalex-extracted
QUEST+: A general multidimensional Bayesian adaptive psychometric method
inferredcites →https://doi.org/10.1175/1520-0493(1950)078<0001:vofeit>2.0.co;2openalex-extracted
VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
inferredcites →https://doi.org/10.21236/ad0256582openalex-extracted
PRINCIPLES OF NEURODYNAMICS. PERCEPTRONS AND THE THEORY OF BRAIN MECHANISMS
inferredcites →https://doi.org/10.2307/1164979openalex-extracted
Pairwise Multiple Comparison Procedures with Unequal N's and/or Variances: A Monte Carlo Study
inferredcites →https://doi.org/10.2307/2334826openalex-extracted
Theory of Optimal Experiments.
inferredcites →https://doi.org/10.2352/issn.2470-1173.2016.16.hvei-102openalex-extracted
The pyramid of visibility
inferredcites →https://doi.org/10.3758/bf03194543openalex-extracted
Adaptive procedures in psychophysical research
inferredcites →https://doi.org/10.3758/bf03194552openalex-extracted
Measuring, estimating, and understanding the psychometric function: A commentary
inferredcites →https://doi.org/10.3758/bf03202828openalex-extracted
Quest: A Bayesian adaptive psychometric method
inferredcites →https://doi.org/10.3758/bf03208300openalex-extracted
Estimates on probability functions: A more virulent PEST
inferredcites →https://doi.org/10.3758/bf03211498openalex-extracted
Observations on maximum-likelihood and Bayesian methods of forced-choice sequential threshold estimation
inferredcites →https://doi.org/10.3758/s13414-013-0574-2openalex-extracted
Adaptive psychophysical methods for nonmonotonic psychometric functions
inferredcites →https://doi.org/10.3758/s13414-017-1460-0openalex-extracted
Bayesian active probabilistic classification for psychometric field estimation
inferredcites →https://doi.org/10.3929/ethz-a-009767767openalex-extracted
Active Learning for Level Set Estimation
inferredcites →https://doi.org/10.48550/arxiv.1207.0580openalex-extracted
Improving neural networks by preventing co-adaptation of feature detectors
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-extracted
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1506.02142openalex-extracted
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
inferredcites →https://doi.org/10.48550/arxiv.1910.08475openalex-extracted
On Warm-Starting Neural Network Training
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-extracted
PyTorch: An Imperative Style, High-Performance Deep Learning Library
inferredcites →https://doi.org/10.48550/arxiv.2104.09549openalex-extracted
Adaptive Nonparametric Psychophysics
inferredcites →https://doi.org/10.48550/arxiv.2203.09751openalex-extracted
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
inferredcites →https://doi.org/10.52202/068431-0911openalex-extracted
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
inferredcites →https://doi.org/10.1016/0042-6989(95)00016-xopenalex-snapshot
Adaptive psychophysical procedures
inferredcites →https://doi.org/10.1088/0954-898x_8_3_004openalex-snapshot
Optimal ensemble averaging of neural networks
inferredcites →https://doi.org/10.17863/cam.64134openalex-snapshot
SciPy 1.0: fundamental algorithms for scientific computing in Python
inferredcites →https://doi.org/10.3102/10769986001002113openalex-snapshot
Pairwise Multiple Comparison Procedures with Unequal N’s and/or Variances: A Monte Carlo Study
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.