Adaptive design optimization as a promising tool for reliable and efficient computational fingerprinting

M Kwon, SH Lee, WY Ahn - Biological Psychiatry: Cognitive Neuroscience …, 2023 - Elsevier
A key challenge in understanding mental (dys) functions is their etiological and functional
heterogeneity, and several multidimensional assessments have been proposed for their …

Multiclass reinforced active learning for droplet pinch-off behaviors identification in inkjet printing

Z Li, LJ Segura, Y Li, C Zhou… - Journal of …, 2023 - asmedigitalcollection.asme.org
Inkjet printing (IJP) is one of the promising additive manufacturing techniques that yield
many innovations in electronic and biomedical products. In IJP, the products are fabricated …

[HTML][HTML] Resistance-welded thermoset composites: A Bayesian approach to process optimisation for improved fracture toughness

T Maierhofer, EG Loukaides, C Carr, C Bisagni… - Composites Part A …, 2024 - Elsevier
Joining thermoset composites via resistance welding offers a novel highly efficient assembly
method for next-generation aerospace structures. Resistance-welded joints combine the …

Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias

SJ Sloman, DM Oppenheimer, SB Broomell… - arXiv preprint arXiv …, 2022 - arxiv.org
Bayesian adaptive experimental design is a form of active learning, which chooses samples
to maximize the information they give about uncertain parameters. Prior work has shown that …

Accurate Memory Kernel Extraction from Discretized Time-Series Data

L Tepper, B Dalton, RR Netz - Journal of Chemical Theory and …, 2024 - ACS Publications
Memory effects emerge as a fundamental consequence of dimensionality reduction when
low-dimensional observables are used to describe the dynamics of complex many-body …

[HTML][HTML] A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimation

SH Lee, D Kim, JE Opfer, MA Pitt, JI Myung - Psychonomic Bulletin & …, 2022 - Springer
To characterize numerical representations, the number-line task asks participants to
estimate the location of a given number on a line flanked with zero and an upper-bound …

Actively Learning Numerical Relativity

T Andrade, R Gamba, J Trenado - arXiv preprint arXiv:2311.11311, 2023 - arxiv.org
Data analysis of gravitational waves detected by the Ligo-Virgo-Kagra collaboration and
future observatories relies on precise modelling of the sources. In order to build, calibrate …

The effect of individual-level adaptive stimulus selection on the group-level parameters for cognitive models

K Fujita, K Katahira, K Okada - Behaviormetrika, 2023 - Springer
In psychological experiments, researchers' primary interests often gravitate toward group-
level parameters, such as the mean difference between experimental conditions. However …

Canonical Correlation Analysis to Biomass CHONS Prediction

F Moretta, V Del Duca, G Bozzano, A Coppola… - Chemical Engineering …, 2023 - cetjournal.it
Fermentation biomasses can be defined as a complex mixture of different natural
components and microbes, having biodegradable and organic waste as the primary source …

[PDF][PDF] Towards robust Bayesian adaptive design methods for the study of human behavior

SJ Sloman - 2022 - kilthub.cmu.edu
Bayesian adaptive design is a powerful experimental design method that selects stimuli in
sequence in response to observations made during the course of an experiment. Bayesian …