Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
IBISML2024-57
A method for classification of data with uncertainty using hypothesis testing
Shoma Yokura, Akihisa Ichiki (Fukuoka Univ.)
pp. 1 - 7
IBISML2024-58
EEG classification system by fine-tuning with unrelated data
Takuma Iboshi, Takuya Kitamura (NITT)
pp. 8 - 14
IBISML2024-59
(See Japanese page.)
pp. 15 - 22
IBISML2024-60
Model Selection for Fused Lasso using Selective Inference
Rieko Tasaka, Joe Suzuki (Osaka Univ.)
pp. 23 - 25
IBISML2024-61
Autism spectrum disorder diagnosis with fMRI data by federated learning
Kaichi Horita, Takuya Kitamura (NITT)
pp. 26 - 30
IBISML2024-62
General Causal Discovery: Extending LiNGAM via KCI
Hongming Huang, Joe Suzuki (Osaka Univ.)
pp. 31 - 38
IBISML2024-63
Federated Continual Learning Based on SVD Training
Kazunori Matsuoto, Mori Kurokawa, Tomoya Kaichi, Satoshi Hashimoto, Masashi Nishimura (KDDI Research, Inc.)
pp. 39 - 43
IBISML2024-64
Extensions of Causal Discovery Procedure under Confounding
Md. Ashraful Islam, Joe Suzuki (Osaka Univ.)
pp. 44 - 51
IBISML2024-65
Index2Sort: Sorting Algorithm Using Static Index Data Structure
Atsuki Sato, Yusuke Matsui (UTokyo)
pp. 52 - 62
IBISML2024-66
(See Japanese page.)
pp. 63 - 70
IBISML2024-67
Gaussian process Bayesian optimization with upper confidence bound implementing analytical solution of estimated variance integration
Yuto Omae, Yohei Kakimoto, Makoto Sasaki, Masaya Mori (NU)
pp. 71 - 75
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.