Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
NC2022-1
Transformer-Based Fully Trainable Model for Point Process with Past Sequence-Representative Vector
Fumiya Nishizawa, Sujun Hong, Hirotaka Hachiya (Graduate School of System Engineering, Wakayama University)
pp. 1 - 5
NC2022-2
A Bagging Method to Improve the Accuracy of Gaussian Process Regression for Neural Architecture Search
Rion Hada, Masao Okita, Fumihiko Ino (Osaka Univ.)
pp. 6 - 13
NC2022-3
AI knowledge forgetting based on the importance of model parameters
Tomoya Yamashita, Masanori Yamada (NTT)
pp. 14 - 19
NC2022-4
Evaluating and Enhancing Reliabilities of AI-Powered Tools
-- Adversarial Robustness --
Jingfeng Zhang (RIKEN-AIP)
pp. 20 - 46
NC2022-5
(See Japanese page.)
pp. 47 - 52
NC2022-6
Relaxing the Requirement for Decomposition of the Fisher Information Matrix for Simple Softplus Neural Networks
Masazumi Iida, Yoshinari Takeishi, Jun'ichi Takeuchi (Kyushu Univ.)
pp. 53 - 60
NC2022-7
Cost-effective Framework for Gradual Domain Adaptation with Multifidelity
Shogo Sagawa (SOKENDAI), Hideitsu Hino (ISM/RIKEN)
pp. 61 - 68
NC2022-8
Additive Cumulative Link Model with Total Variation Regularization
Hiroya Iyori, Shin Matsushima (Univ. of Tokyo)
pp. 69 - 75
NC2022-9
Comparison of Variational Bayes and Gibbs Sampling for Normal Inverse Gaussian Mixture Models
Takashi Takekawa (Kogakuin Univ.)
pp. 76 - 79
NC2022-10
Inside the Ventricle System Immune Cell Network Hypothesis for Language Processing and Intelligence
-- B lymphocytes in the CSF Control Spinal Reflexes and Speech Processing --
Kumon Tokumaru (Researcher)
pp. 80 - 85
NC2022-11
A Novel Analytical Method for Continual Learning Based on the Ease of Classification in Representation Spaces
Kengo Murata, Seiya Ito, Kouzou Ohara (Aoyama Gakuin Univ.)
pp. 86 - 93
NC2022-12
Learning Attribute Vector Fields in GAN Latent Space
Takehiro Aoshima, Takashi Matsubara (Osaka Univ.)
pp. 94 - 99
NC2022-13
[Short Paper]
A Pseudo Node Based Graph Convolution Network for Emotion Perception from Gait
Shurong Chai, Jiaqing Liu (Ritsumeikan University), Tateyama Tomoko (Fujita Health University), LanFen Lin (Zheda), Yen-Wei Chen (Ritsumeikan University)
pp. 100 - 102
NC2022-14
Automatic Path Following Control for Four-wheeled Cars Based on Just-In-Time Modeling
-- Verification of Robustness for Road Surface Conditions --
Tatsuya Kai (Tokyo Univ. of Science), Kazuki Fukawa (DENSO)
pp. 103 - 108
NC2022-15
(See Japanese page.)
pp. 109 - 114
NC2022-16
Joint-Conditional Mutual Information Based Feature Subset Selection for Remotely Sensed Hyperspectral Image Classification
U A Md Ehsan Ali, Keisuke Kameyama (Univ. Tsukuba)
pp. 115 - 122
NC2022-17
Feature selection in prediction model by LiNGAM
Taiyu Sumida, Takashi Takekawa (Kogakuin Univ.)
pp. 123 - 128
NC2022-18
On DC Relaxation of Information-directed Sampling in Combinatorial Multi-armed Bandit Problem
Junta Fujinaga (Kyoto Univ.), Taira Tsuchiya, Junya Honda (Kyoto Univ./RIKEN)
pp. 129 - 136
NC2022-19
Learning DAG Graph Models without Identifiability from Sparse Inverse Covariance
Ziyu Guo, Shin Matsushima (UTokyo)
pp. 137 - 142
NC2022-20
Toward the Design of a Hybrid Algorithm of Asymmetries and Score-Based Methods in Causal Search
Kota Misaki, Shin Matsushima (UTokyo)
pp. 143 - 148
NC2022-21
Causal Discovery in Discrete Data Using NML Code Length Based on MDL Principle
Masatoshi Kobayashi, Nishimoto Hiroki, Shin Mastushima (Todai)
pp. 149 - 155
NC2022-22
An Extension of LiNGAM to Functional Data Analysis
Tianle Yang, Joe Suzuki (Osaka Univ.)
pp. 156 - 163
NC2022-23
Extending HSIC for Testing Conditional Independence
Bingyuan Zhang, Joe Suzuki (Osaka Univ.)
pp. 164 - 169
NC2022-24
Reduction Scheme for Empirical Risk Minimization and Its Applications to Multiple-Instance Learning
Daiki Suehiro (Kyushu Univ./RIKEN AIP), Eiji Takimoto (Kyushu Univ.)
pp. 170 - 177
NC2022-25
Acceleration of data assimilation for Large-scale human flow data
Miyazaki Kazuya, Kiyama Masato, Amagasaki Motoki, Okamoto Toshiaki (Kumamoto Univ)
pp. 178 - 183
NC2022-26
Optimization of recurrent neural network structure by controlling symmetry of weight matrix
Arisa Fujimoto, Hideaki Yamamoto, Satoshi Moriya (Tohoku Univ.), Keita Tokuda (Tsukuba Univ.), Yuichi Katori (Future Univ. Hakodate), Shigeo Sato (Tohoku Univ.)
pp. 184 - 188
NC2022-27
LSI implementation of analog CMOS majority circuit for neural network applications
Satoshi Ono, Satoshi Moriya, Yuka Kanke, Hideaki Yamamoto (Tohoku Univ.), Yasushi Yuminaka (Gunma Univ.), Shigeo Sato (Tohoku Univ.)
pp. 189 - 192
NC2022-28
Emergence of Dynamical Orthogonal Basis Acquiring Large Memory Capacity in Modular Reservoir Computing
Yuji Kawai (Osaka Univ.), Jihoon Park (NICT/Osaka Univ.), Ichiro Tsuda (Chubu Univ.), Minoru Asada (IPUT/Osaka Univ./Chubu Univ./NICT)
pp. 193 - 198
NC2022-29
MachBands perception is reflected in event-related potentials in visual cortex
Kazuma Higashizono, Yasuhiro Tsubo (Ritsumeikan Univ)
pp. 199 - 202
NC2022-30
Electrophysiological Indices of the McGurk Effect in Audiovisual Noise
Fusheng Xiao, Yasuhiro Tsubo (Ritsumeikan Univ.)
pp. 203 - 207
NC2022-31
Sensory information input connecting with the meaning of Chinese characters suppressed Gestaltzerfall
Takaya Nakanishi, Yasuhiro Tsubo (Ritsumeikan Univ.)
pp. 208 - 212
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.