no code implementations • 28 Apr 2022 • Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki
The MET of non-communicable diseases like diabetes is highly correlated to cumulative health conditions, more specifically, how much time the patient spent with specific health conditions in the past.
no code implementations • 29 Sep 2021 • Hiroki Yanagisawa, Toshiya Iwamori, Akira Koseki, Michiharu Kudo, Mohamed Ghalwash, Prithwish Chakraborty
Therefore, X-CAL has recently been proposed for the calibration, which is supposed to be used as a regularization term in the loss function of a neural network.
no code implementations • ICLR 2022 • Kohei Miyaguchi, Takayuki Katsuki, Akira Koseki, Toshiya Iwamori
We are concerned with the problem of distributional prediction with incomplete features: The goal is to estimate the distribution of target variables given feature vectors with some of the elements missing.
no code implementations • 6 Dec 2018 • Takayuki Katsuki, Takayuki Osogami, Akira Koseki, Masaki Ono, Michiharu Kudo, Masaki Makino, Atsushi Suzuki
This paper proposes a method for modeling event sequences with ambiguous timestamps, a time-discounting convolution.