Session Details
[4O5-IS-2c]Machine learning
Thu. Jun 11, 2026 3:30 PM - 5:00 PM JST
Thu. Jun 11, 2026 6:30 AM - 8:00 AM UTC
Thu. Jun 11, 2026 6:30 AM - 8:00 AM UTC
Room O(Middle room 301A)
[4O5-IS-2c-01]An Exploration of Perceptual Hashing as a Visual Feature GeneratorAs Applied to Performance Prediction for Display Ads
〇Melvin Charles Ortua Dy1 (1. OPT, Inc.)
regular,[[online]]
[4O5-IS-2c-02]Implicit Graph Learning with Adaptive Temporal Bias for Knowledge Tracing
〇Sunil Kumar Maurya1, Shuko Sasaki2, Makoto Kawano1, Yusuke Iwasawa1, Yutaka Matsuo1 (1. University of Tokyo, 2. Matsuo Institute)
regular
[4O5-IS-2c-03]Hybrid Feature Learning with Time Series Embeddings for Equipment Anomaly Prediction
〇Takato Yasuno1 (1. Yachiyo Engineering, Co.,Ltd.)
regular,[[online]]
[4O5-IS-2c-04]Personal health prediction and recovery support using evolutionary AI: A new approach integrating forest environment analysis with satellite data
〇Tomoki Furukawa1, Ogura Hikari1, Daichi Yamanouchi1, Nonoka Ooba1, MASARU IWAKI1, KIYOMI ASAI1 (1. IWASAKI GAKUEN)
work-in-progress
[4O5-IS-2c-05]Score-based Variational Inference via Quantum Maximally Mixed States
〇Yuchen CONG1, Zhe SUN2,3, Chao LI2 (1. Graduate School of Health Data Science, Juntendo University, 2. Faculty of Health Data Science, Juntendo University, 3. Graduate School of Medicine, Juntendo University)
work-in-progress
[4O5-IS-2c-06]Predicting negative news coverage from economic networks using GNNs
〇Sean Brown1,2, Takayuki Mizuno1 (1. National Institute of Informatics, 2. Sokendai)
work-in-progress
