Online edition: ISSN 2432-6380
[TOP] | [2018] | [2019] | [2020] | [2021] | [2022] | [2023] | [2024] | [Japanese] / [English]
NC2024-41
Clustering for S-P chart based on hysteresis neural networks
Seigo Nakamura, Shinya Kujirai, Kazuma Kiyohara, Toshimichi Saito (HU)
pp. 1 - 6
NC2024-42
Clustering for binary data sets based on discrete-rime recurrent neural networks
Mizuki Ohira, Kazuma Kiyohara, Toshimichi Saito (HU)
pp. 7 - 11
NC2024-43
Recurrent Neural Network Dimensions Change Learning Strategies
Masahiro Nakamura, Tomoki Kurikawa (Future Univ Hakodate)
pp. 12 - 17
NC2024-44
Evaluation of anxiety based on gameplay
Eriko Sugisaki (KDDI Research, Inc.), Hiroyoshi Ogishima (Nara Institute of Science and Technology), Nao Kobayashi (KDDI Research, Inc.), Saori Tanaka (Nara Institute of Science and Technology)
pp. 18 - 23
NC2024-45
Evaluation of Classification Models Estimated from Psychometric Assessments.
Anna Goshima, Eriko Sugisaki, Miyuki Nakamura, Nao Kobayashi (KDDI Research), Hiroyoshi Ogishima, Saori Tanaka (NAIST), Keiji Yasuda (KDDI Research)
pp. 24 - 29
NC2024-46
Spatially Heterogeneous Visual Feature Extractions Inspired by Biological Retinas
-- An Edge Computing System with Spike Outputs --
Tatsuya Yamada, Hiroyuki Yokota (KIT), Yuki Hayashida (MU), Shinsuke Yasukawa (KIT)
pp. 30 - 35
NC2024-47
Explainability in classification of tumor-infiltrating lymphocytes from breast cancer pathology images using ensemble learning
Takumi Numajiri (Univ. Ryukyu), Hirofumi Matsumoto (Nakagami Hospital), Ryota Miyata (Univ. Ryukyu)
pp. 36 - 41
NC2024-48
Training support for a professional boxer by motion analysis using pose estimation and depth estimation models
LU WEI, Rikiya Inafuku, Eiji Kitajima, Yuta Torichigai (Univ Ryukyu), Ao Tamai, Hiroyuki Inoue, Hayato Komai (HARVEST Inc.), Ryota Miyata (Univ Ryukyu)
pp. 42 - 46
NC2024-49
Predicting a regular exam grade from responses to lecture questionnaires using a generic language model
Yuta Torichigai, Masachika Taniguchi, Jyundai Suefusa, Hidetsugu Torihara, Takeo Suzuki, Akio Yamashita, Hidehito Kuroyanagi, Ryota Miyata (Univ. Ryukyu)
pp. 47 - 51
NC2024-50
The Neural Network Model of Cerebellum-Cerebrum connection
Taishiro Chiba, Kajimoto Shotaro, Hirokazu Tanaka (TCU)
pp. 52 - 55
NC2024-51
Model Reduction of Recurrent Neural Networks using Dynamical Methods
Shotaro Kajimoto, Taishiro Chiba, Hirokazu Tanaka (TCU)
pp. 56 - 60
NC2024-52
Toward A Multi-Bandpass Parallel Spiking Circuit Employing Resonate-and-Fire Neuron Devices
Puhao Xi (Kyutech), Yuki Hayashida (Mie Univ.), Shinsuke Yasukawa (Kyutech)
pp. 61 - 65
NC2024-53
Improvement of SPAR-SINK, a Sparsification Method for the Sinkhorn Algorithm
Naoki Ito, Kira Maeda, Yu Nishiyama (UEC)
pp. 66 - 71
NC2024-54
Learning and generation of long-period rhythms using reservoir computing with slow features
Yuji Kawai (Osaka Univ.), Shinya Fujii (Keio Univ.), Minoru Asada (IPUT/Osaka Univ./NICT/Chubu Univ.)
pp. 72 - 73
NC2024-55
A Study on Image Memory and Recall of a Reservoir Computing with Hardware Random NN
Takito Iimura, Takuto Yamaguchi, Katsutoshi Saeki (Nihon University)
pp. 74 - 78
NC2024-56
Effects of Introducing Gap Junctions into Spiking Neural Networks on Handwritten Digit Classification
Shinnosuke Touda, Akito Morita, Hirotsugu Okuno (OIT)
pp. 79 - 83
NC2024-57
Effects of Rhythmic Sense Training on Gait Variability
Joji Fujikawa, Yuya Nakayasu, Ryoma Morigaki (Tokushima Univ,)
pp. 84 - 89
NC2024-58
Representation Learning of Mathematical Expressions in Transformers
Yasunori Kotani, Masayuki Kikuchi (TUT)
pp. 90 - 92
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.