Session Details

[D-19]Information Based Induction Sciences and Machine Learning

Wed. Mar 11, 2026 9:30 AM - 12:15 PM JST
Wed. Mar 11, 2026 12:30 AM - 3:15 AM UTC
Building 2 4F 2E405(Kyushu Sangyo University)
Chair:HIDETOSHI SAITOH(Kogakuin University), YOSHIHIRO OSAKABE(Hitachi Ltd.)

[D-19-07]A Training-Cost-Aware Loss Function for Efficient Transfer Learning

◎Ayumi Seki1, Akihiro Kimura1, Satoshi Nishiyama1, Ken Takahashi1 (1. NTT Inc.)

[D-19-08]機械学習モデル更新時の説明変化を抑えるデータ合成手法

◎Tsukasa Yamakura1, Yuzuru Okajima1, Ryuta Matsuno1, Yoichi Sasaki1, Thiem Van Chu2 (1. NEC Corporation, 2. Institute of Science Tokyo)

[D-19-09]Bayes-Optimal Prediction under Concept Drift Based on Statistical Decision Theory

〇Yuta Tanizaki1, Tota Suko1 (1. Waseda University)

[D-19-10]A Post-Hoc Correction Framework for Intent Injection in Tabular Synthetic Data Generation

〇△Shizuku Wakaki1, Takashi Obi1, Joong-Sun Lee1 (1. Institute of Science Tokyo)

[D-19-11]Graph Neural Network Incorporating Structural Uncertainty and Its Evaluation on Protein Structural Order Classification

〇Yoshihiro Osakabe1, Takamasa Sakai2, Akinori Asahara1 (1. Hitachi, Ltd., 2. The University of Tokyo)

Break time

[D-19-12]Predicting Taxiing Times at Haneda Airport Considering Structural Geographic Information and Congestion Conditions

◎Takumi Fuyuki1, Tomoyuki Higuchi1 (1. Chuo University.)

[D-19-13]Domain Adaptation of Color Latent Representation Learning with Generic Multimodal Embeddings:Design of an Image/Text-Conditional CVAE on Tablet Appearance Data

◎Taisei Takeda1, Tomoyuki Higuchi1 (1. Chuo University)

[D-19-14]Functional Neuronal Ensemble Inference by Hierarchical Bayesian Modeling Based on Ensemble Activity Distribution Inference

〇Yu Takei1, Shun Kimura2, Koujin Takeda1 (1. Ibaraki Univ., 2. Gunma Univ.)

[D-19-15]Evaluation and Optimization of Credit Card Fraud Detection Using a Stacking Model: A Study on the IEEE–CIS Datasets

◎Watchapon Wongapinya1,2, Koji Tajima1, Tanapon Keatsamarn2, Saung Hnin Pwint Oo2 (1. National Institute of Technology, Gifu College, 2. KOSEN – KMITL, Thailand)

[D-19-16]連続時間型の拡散モデルを用いた混合型時系列EHRの生成

◎Shaonan Liu1, Yuichiro Iwashita2, Soichiro Nakako3, Masakazu Iwamura1, Koichi Kise1,2 (1. Graduate School of Informatics, Osaka Metropolitan Univ., 2. DFKI GmbH, 3. Graduate School of Medicine, Osaka Metropolitan Univ.)