Towards a Universal Understanding of Color Harmony: Fuzzy Approach

no code implementations • 1 Oct 2023 • Pakizar Shamoi, Muragul Muratbekova, Assylzhan Izbassar, Atsushi Inoue, Hiroharu Kawanaka

Additionally, our findings reveal that color harmony is not solely influenced by hue relationships on the color wheel but also by the saturation and intensity of colors.

Color Aesthetics: Fuzzy based User-driven Method for Harmony and Preference Prediction

no code implementations • 29 Aug 2023 • Pakizar Shamoi, Atsushi Inoue, Hiroharu Kawanaka

Preference for color schemes can be predicted by combining preferences for the basic colors and ratings of color harmony.

Significance Bands for Local Projections

no code implementations • 5 Jun 2023 • Atsushi Inoue, Òscar Jordà, Guido M. Kuersteiner

An impulse response function describes the dynamic evolution of an outcome variable following a stimulus or treatment.

WIP: Medical Incident Prediction Through Analysis of Electronic Medical Records Using Machine Lerning: Fall Prediction

no code implementations • 15 Sep 2021 • Atsushi Yanagisawa, Chintaka Premachandra, Hiruharu Kawanaka, Atsushi Inoue, Takeo Hata, Eiichiro Ueda

This paper reports our preliminary work on medical incident prediction in general, and fall risk prediction in specific, using machine learning.

BIG-bench Machine Learning

Two Sample Unconditional Quantile Effect

no code implementations • 20 May 2021 • Atsushi Inoue, Tong Li, Qi Xu

This paper proposes a new framework to evaluate unconditional quantile effects (UQE) in a data combination model.

counterfactual Vocal Bursts Valence Prediction