Online edition: ISSN 2432-6380
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NC2025-1
A Quantitative Model of Anchoring-and-Adjustment Based on Variational Bayesian Inference
Isao Ozawa, Tomoaki Hamada, Fumiya Komatsu, Airi Ono, Kazuki Takahashi, Yoshihito Yasaki, Takashi Takekawa (Kogakuin Univ.)
pp. 1 - 5
NC2025-2
Emotion as whole Brain Dynamics: Approach by Data-Driven Whole-Brain Models
Rikuto Yanagida, Tomoki Kurikawa (FUN)
pp. 6 - 7
NC2025-3
Domain adaptation of Spiking Neural Network using firing threshhold and leak parameters
Layla Chadaporn Antaket, Shiori Sugimoto, Kazuya Hayase, Masaki Kitahara (NTT)
pp. 8 - 13
NC2025-4
Acquisition and Analysis of Bowel Sounds for Defecation Prediction
Shota Miyagawa (NAIST), Toshitaka Yamakawa (Quadlytics/NAIST), Masayuki Tanabe (Salmontech/Kumamoto Univ.), Kazushi Ikeda (NAIST)
pp. 14 - 17
NC2025-5
Collective Predictive Coding Hypothesis Links Aberrant Precision Control to Disrupted Symbol Emergence via Social Communication
-- A Computational Investigation in Autism Spectrum Disorder --
Yushi Tsubamoto, Takato Horii (UOsaka)
pp. 18 - 23
NC2025-6
A Method to Reduce the Number of Parameters of MobileNetV3-Small for Image Classification of Sorghum and Poaceae Weed at Early Stages
Ryoga Inui, Tadayoshi Horita, Masakazu Akiba, Tsuyoshi Tanaka (Polytechnic Univ.)
pp. 24 - 29
NC2025-7
A Convolutional Neural Network Model with Spatially Two-Dimensional Outputs Emulating the Information Encoding by Vertebrate Retinas
Kodai Nakamura (Mie Univ.), Tomoki Eguchi, Tomoya Nokura, Tomoki Sugiura, Yuki Hayashida (Mie Univ.)
pp. 30 - 34
NC2025-8
Deploying a Neural Network Model Trained as a Retino-morphic Spike Encoder to an Edge Inference Device
Shota Yamaguchi, Tomoki Eguchi, Tomoya Nokura (Mie Univ.), Tomoki Sugiura (Mie Univ), Yuki Hayashida (Mie Univ.)
pp. 35 - 39
NC2025-9
Automatic Following Control and Experimental Verification for Mobile Robots Based on Just-In-Time Modeling
Tatsuya Kai (Tokyo Univ. of Science), Kein Hirata (Mitsubishi Heavy Industries, Ltd.)
pp. 40 - 45
NC2025-10
Effects of resource distribution and density on mating systems
Ichioka Mai, Takashi Sato (NIT, OkC)
pp. 46 - 51
NC2025-11
Design and Analysis of Bandit Algorithms Using Intermediate Signals
Ko Takimoto (Kyoto Univ.), Kazuki Shibata (Hakuhodo DY Holdings), Junya Honda (Kyoto Univ.)
pp. 52 - 59
NC2025-12
Information-theoretic Bayesian Optimization for Constrained Multi-objective Optimization
Masanori Ishikura, Masayuki Karasuyama (NITech)
pp. 60 - 67
NC2025-13
Graph Mining with Deep Neural Networks
Taiga Kojima, Masayuki Karasuyama (NITech)
pp. 68 - 75
NC2025-14
Multi-LLM Agents Supporting Statistical Causal Discovery through the Structured Assessment of Latent Confounders
Yudai Nakada, Yuichiro Nishiura, Koyo Suda, Jin Michael Splichal (SCSK)
pp. 76 - 83
NC2025-15
Statistical Hypothesis Testing for Feature Selection via Parameter Transfer
Yoshitsune Kan (Nagoya Univ.), Tomohiro Shiraishi, Shuichi Nishino (Nagoya Univ./RIKEN), Teruyuki Katsuoka (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN)
pp. 84 - 89
NC2025-16
Statistical Hypothesis Testing for Spatiotemporal Data Analysis via Graph Neural Networks
Shuichi Nishino, Tomohiro Shiraishi (Nagoya Univ./RIKEN), Teruyuki Katsuoka (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN)
pp. 90 - 97
NC2025-17
Anomaly Estimation via Bayesian Networks on Industrial Vehicle Data
-- Automating Continuous Variable Discretization --
Keigo Matsuura, Yuya Nakamura, Naoya Yokomachi, Shotaro Akaho (AIST)
pp. 98 - 103
NC2025-18
Plausible Token Amplification for Improving Accuracy of Differentially Private In-Context Learning
Yusuke Yamasaki, Kenta Niwa, Daiki Chijiwa, Takumi Fukami, Takayuki Miura (NTT)
pp. 104 - 111
NC2025-19
Evaluation of the impact of CoT on Automatic-Program-Repair using Zero-Shot prompting
Keisuke Kitamura, So Onishi, Akihito Kohiga, Takahiro Koita (Doshisha Univ.)
pp. 112 - 119
NC2025-20
(See Japanese page.)
pp. 120 - 124
NC2025-21
Server-Driven Clustering Federated Learning by Inferring Client Discrepancy
Tatsuya Kaneko (Science Tokyo), Honoka Anada (UTokyo), Shinya Takamaeda-Yamazaki (UTokyo/RIKEN)
pp. 125 - 132
Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.