Due to limited access to Yonago during the conference period, we are trying to re-allocate some presentations into existing sessions or newly prepared sessions.
This page will be updated when we decide additional changes and re-allocations of presentations.
July 8th
SCAI-1 session (room C, 3F#2) is merged into SCAI-SS1-1. Presentations on SCAI-1 will be allocated after the presentations in SCAI-SS1-1.
July 9th
From the afternoon of July 9th, we prepare a new room “Room H” at 3F, to allocate additional sessions.
The following presentation has been re-allocated to SCAI-2
ThaiFBDeep: A Sentimental Analysis using Deep Learning combined with Bag-of-Words features on Thai
Facebook Data
Phasit Charoenkwan
The following presentation has been re-allocated to ESKM-2
Creating Character Networks from Comics using Frames and Words in Balloons
Harumi Murakami, Yusuke Nagaoka and Ryota Kyogoku
The following presentation has been re-allocated to EAIS-1
Minimizing the Total Weighted Completion Time for Three Cooperating Agents
Wen-Chiung Lee and Jen-Ya Wang
July 10th
The following presentation has been moved from SCAI-3 to the new session SCAI-3b, from 15:15 to 17:20 at Room H (3F)
Autoeconder-Based Excessive Information Generation for Improving and Interpreting Multi-Layered Neural
Networks
Ryotaro Kamimura and Haruhiko Takeuchi
The following presentation has been re-allocated to SCAI-3b, from 15:15 to 17:20 at Room H (3F)
Prediction of Pressure Flexure Impact Strength on the Mixing of Pozzolan Cemant with Fuzzy Logic
Suppachai Howimanporn, Warin Sootkaneung, Chakkaphan Sangsuwan and Singkaew Pokterng
The following presentation has been moved to BMOT-1
MTSbag: A Method to Solve Class Imbalance Problems
Yu-Hsiang Hsiao, Chao-Ton Su, Pin-Cheng Fu and Mu-Chen Chen
The following presentation has been re-allocated to ESKM-4
Comment generation system for program procedure learning
Akiyoshi Takahashi, Hiromitsu Shiina, Ryunosuke Ito and Nobuyuki Kobayashi
July 11th
Currently there is no re-scheduled presentation for this date and all sessions are scheduled on time.