| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
Technical Committee on Artificial Intelligence and Knowledge-Based Processing (AI) (Searched in: 2019)
Search Results: Keywords 'from:2019-07-22 to:2019-07-22'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AI | 2019-07-22 10:10 |
Hokkaido | Automatic Generation of Training Data for Scene Labeling using Deep Neural Network Yuichiro Motegi, Makoto Murakami (Toyo Univ.)  AI2019-1 |
[more] | AI2019-1 pp.1-5 |
|
| AI | 2019-07-22 10:30 |
Hokkaido | AI2019-2 |
(To be available after the conference date) [more] | AI2019-2 pp.7-8 |
|
| AI | 2019-07-22 10:50 |
Hokkaido | Human Motion Generative Model using Generative Adversarial Networks Ayumi Shiobara, Makoto Murakami (Toyo Univ.) AI2019-3 |
[more] | AI2019-3 pp.9-14 |
|
| AI | 2019-07-22 11:10 |
Hokkaido | Review analysis using interpretation method of machine learning Takayuki Onongawa, Yuichi Sei, Yasuyuki Tahara, Ryohei Orihara, Akihiko Ohsuga (UEC) AI2019-4 |
[more] | AI2019-4 pp.15-19 |
|
| AI | 2019-07-22 11:30 |
Hokkaido | An Efficient Graph Sequence Clustering by Merging Vertices and Deleting Edges Yoshitaka Kimura, Akihiro Inokuchi (Kwansei Gakuin Univ.) AI2019-5 |
In this paper, we tackle the problem for clustering a graph sequence to discover the change of community in social netwo... [more] | AI2019-5 pp.21-26 |
|
| AI | 2019-07-22 13:00 |
Hokkaido | Developing an Extended Support Mechanism of an Effect Editor for AR Pop-up Picture Books Hitomi Kataoka, Tadachika Ozono, Toramatsu Shintani (NIT) AI2019-6 |
In this study, we develop an AR pop-up picture book, which is a digital picture book using the augmented reality (AR) te... [more] | AI2019-6 pp.27-32 |
|
| AI | 2019-07-22 13:20 |
Hokkaido | AI2019-7 |
(To be available after the conference date) [more] | AI2019-7 pp.33-38 |
|
| AI | 2019-07-22 13:40 |
Hokkaido | AI2019-8 |
[more] | AI2019-8 pp.39-44 |
|
| AI | 2019-07-22 14:00 |
Hokkaido | Predicting Issue Weights and Detecting Breakdowns in Negotiation Dialogue Atsuki Yamaguchi (TUAT), Kosui Iwasa (DeNA), Katsuhide Fujita (TUAT) AI2019-9 |
In this paper, we tackle on two tasks in the research of negotiation dialogue: 1) estimation of issue weights and detec... [more] | AI2019-9 pp.45-50 |
|
| AI | 2019-07-22 14:35 |
Hokkaido | Strategy using psychological effects for multi-round human-agent negotiation Shogo Matsushita, Fujita Katsuhide (TUAT) AI2019-10 |
In this paper，we propose the negotiation strategies considering human psychological effects for repeated human-agent neg... [more] | AI2019-10 pp.51-56 |
|
| AI | 2019-07-22 14:55 |
Hokkaido | Bandit-Based Strategy Selection for Multi-Time Negotiation Ryohei Kawata, Katsuhide Fujita (TUAT) AI2019-11 |
Multi-time negotiation which repeats negotiations many times under the same conditions is an important class of automate... [more] | AI2019-11 pp.57-62 |
|
| AI | 2019-07-22 15:15 |
Hokkaido | AI2019-12 |
(To be available after the conference date) [more] | AI2019-12 pp.63-64 |
|
| AI | 2019-07-22 15:35 |
Hokkaido | AI2019-13 |
(To be available after the conference date) [more] | AI2019-13 pp.65-70 |
|
| AI | 2019-07-22 15:55 |
Hokkaido | A Recommendation System using Auto-encoders for Data Divided on Item Densities Go Tanioka, Akihiro Inokuchi (KGU) AI2019-14 |
In recent years, deep learning have attracted attention in the field of machine learning, and its applications to the re... [more] | AI2019-14 pp.71-75 |
|
| AI | 2019-07-22 16:30 |
Hokkaido | Modeling of Cyber Attack Based on POMDP Kazuma Igami, Hirofumi Yamaki (Tokyo Denki Univ.) AI2019-15 |
APTs(Advanced Persistent Threats), which are a type of cyber-attack, are a major threat to information systems because t... [more] | AI2019-15 pp.77-82 |
|
| AI | 2019-07-22 16:50 |
Hokkaido | Investigation of Generating Dataset for Recognizing Figures on Augmented Reality Ryosuke Suzuki, Tadachika Ozono, Toramatsu Shintani (Nitech) AI2019-16 |
An intelligent augmented reality (AR) system requires comprehending symbols and their contexts in the real world. In thi... [more] | AI2019-16 pp.83-88 |
|
| AI | 2019-07-22 17:10 |
Hokkaido | Construction of Business-IT Alignment Model for AI Service System Hironori Takeuchi (Musasi Univ.), Shuichiro Yamamoto (Nagoya Univ.) AI2019-17 |
[more] | AI2019-17 pp.89-94 |
|
| AI | 2019-07-22 17:30 |
Hokkaido | A Study on Sampling Efficiency of Active Sampling Using Gaussian Process Regression for Warehouse Capacity Planning in Joint Replenishment Problem Hiroshi Suetsugu, Yoshiaki Narusue, Hiroyuki Morikawa (UTokyo) AI2019-18 |
[more] | AI2019-18 pp.95-100 |
|
[Return to Top Page]