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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 337  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLC, IPSJ-NL, SP, IPSJ-SLP [detail] 2022-11-29
(Primary: On-site, Secondary: Online)
Link Prediction from Text Content by NLP Graph Embedding -- A Study on Chinese Journal Articles --
Tzu-Ying Yang, Hsuan Lei Shao, Chih-Chuan Fan, Wei-Hsin Wang (NTNU) NLC2022-9 SP2022-29
Abstract This paper is an extended research of the project “The Knowledge Database/ Graph of China-studies”. The main re... [more] NLC2022-9 SP2022-29
Hokkaido Hokkaido Citizens Actives Center
(Primary: On-site, Secondary: Online)
Literature survey about Knowledge Defined Networking
Katsuyoshi Iida (Hokkaido Univ.) IA2022-18
There currently are many R&D efforts about AI/ML technologies within the computer networking field. In this paper, we in... [more] IA2022-18
Iwate MALIOS (Iwate Prefecture) + Online Meeting
(Primary: On-site, Secondary: Online)
A Proposal of Data Transfer Method Combining Erasure-coding and Acknowledgement Feedback in Optical Packet Switching Networks
Maho Ono (Osaka Metropolitan Univ.), Yuya Seki, Yuusuke Hashimoto (Osaka Prefecture Univ.), Yosuke Tanigawa (Osaka Metropolitan Univ.), Yusuke Hirota (NICT), Hideki Tode (Osaka Metropolitan Univ.) NS2022-70
In any lossy networks such as optical packet switching networks and wireless networks, data recovery from frequent packe... [more] NS2022-70
SS, IPSJ-SE, KBSE [detail] 2022-07-28
Hokkaido Hokkaido-Jichiro-Kaikan (Sapporo)
(Primary: On-site, Secondary: Online)
Development of ontology for a chatbot with frequently updated knowledge
Shigenori Takeda, Takako Nakatani (OUJ) SS2022-5 KBSE2022-15
If we implement frequently updated knowledge in an instance model ontology, the ontology should be updated according to ... [more] SS2022-5 KBSE2022-15
MSS, NLP 2022-03-28
Online Online Knowledge Extraction from Physical and Human Sensors in Smart Agriculture -- Preliminary experiments with planter cultivation data --
Kenta Toya, Moritaro Inoue, Naoshi Uchihira (JAIST) MSS2021-63 NLP2021-134
One of the most promising approaches to increasing agricultural efficiency is the use of the agricultural Internet of Th... [more] MSS2021-63 NLP2021-134
SC 2022-03-11
Online EventIn A Study of Case Sharing System for Efficient Software Upcycle
Takuya Nakata, Sinan Chen, Masahide Nakamura (Kobe Univ.) SC2021-47
In the maintenance and updating of software, the technical debt accumulated from past development has become a significa... [more] SC2021-47
KBSE 2022-03-10
Online Online (Zoom) Development and Evaluation of Shelter Simulator using Gamification
Ayano Echizenya, Shin Enomoto, Tomoya Kodaiku, Mei Matsuura, Yutaka Matsuno (Nihon Univ.) KBSE2021-56
As part of disaster preparedness, smartphone applications for disaster information sharing is considered as effective. T... [more] KBSE2021-56
VLD, HWS [detail] 2022-03-08
Online Online Wafer-Level Characteristic Variation Modeling with Considering Discontinuous Effect Caused by Manufacturing Equipment
Takuma Nagao (National Institute of Technology (KOSEN)), Michihiro Shintani (Nara Institute of Science and Technology), Ken'ichi Yamaguchi, Hiroshi Iwata (National Institute of Technology (KOSEN)), Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki (SCK), Michiko Inoue (Nara Institute of Science and Technology) VLD2021-92 HWS2021-69
Statistical methods for predicting the performance of large-scale integrated circuits (LSIs) manufactured on a wafer are... [more] VLD2021-92 HWS2021-69
ET 2022-03-04
Online Online Reflection Support System on Esports Play to Acquire Practical Knowledge in Esports
Minato Shikata, Tomoko Kojiri (Kansai Univ.) ET2021-67
In esports, players repeatedly make decisions to select actions according to the situation and objectives. In order to w... [more] ET2021-67
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
(Primary: On-site, Secondary: Online)
Study of Method for Improving Speech Intelligibility in Glossectomy Patients by Knowledge Distillation via Lip Features
Kazushi Takashima, Masanobu Abe, Sunao Hara (Okayama Univ.) EA2021-81 SIP2021-108 SP2021-66
In this paper, we propose a voice conversion method for improving speech intelligibility uttered by glossectomy patients... [more] EA2021-81 SIP2021-108 SP2021-66
AI 2022-02-28
Miyazaki Youth Hostel Sunflower MIYAZAKI
(Primary: On-site, Secondary: Online)
Observation Dialogue game and Impact on Strategy by Matrix-type Knowledge -- Question Selection of “INSIDER” Agents --
Ryunosuke Narikiyo, Youichiro Miyake (Rikkyo Univ.) AI2021-14
In this paper, we deal with Artificial Intelligence in agents as players in “INSIDER”, which is Imperfect Information Di... [more] AI2021-14
AI 2022-02-28
Miyazaki Youth Hostel Sunflower MIYAZAKI
(Primary: On-site, Secondary: Online)
Responsibility Assessment in Crossroad Accident Using Object Recognition and Knowledge System
Yawovi Agbewonou Helton, Kikuchi Masato, Ozono Tadachika (NITech) AI2021-22
Car crashes are increasing year by year, and they represent the side effect of the increasing number of vehicles in the ... [more] AI2021-22
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
Online Online A Note on Automatic Diagnosis of Helicobacter Pylori Infection Based on Self-Supervised Learning and Self-Knowledge Distillation
Guang Li, Ren Togo (Hokkaido Univ.), Katsuhiro Mabe (Junpukai Health Maintenance Center), Shunpei Nishida (Olympus), Yoshihiro Tomoda (Olympus Medical Systems), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper proposes a novel method for automatic diagnosis of Helicobacter pylori (H. pylori) infection based on self-su... [more]
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
Online Online A Note on Visual Sentiment Prediction Based on Few-shot Learning using Knowledge Distillation
Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
The prediction of visual sentiment can be useful to understand users' behaviors. Emotion theories underlying the sentime... [more]
RECONF, VLD, CPSY, IPSJ-ARC, IPSJ-SLDM [detail] 2022-01-24
Online Online Accelerating Deep Neural Networks on Edge Devices by Knowledge Distillation and Layer Pruning
Yuki Ichikawa, Akira Jinguji, Ryosuke Kuramochi, Hiroki Nakahara (Titech) VLD2021-58 CPSY2021-27 RECONF2021-66
A deep neural network (DNN) is computationally expensive, making it challenging to run DNN on edge devices. Therefore, m... [more] VLD2021-58 CPSY2021-27 RECONF2021-66
(Joint) [detail]
Online Online Adversarial Training with Knowledge Distillation considering Intermediate Feature Representation in CNNs
Hikaru Higuchi (The Univ. of Electro-Communications), Satoshi Suzuki (former NTT), Hayaru Shouno (The Univ. of Electro-Communications) NC2021-44
Adversarial examples are one of the vulnerability attacks to the convolution neural network (CNN). The adversarialexampl... [more] NC2021-44
SeMI 2022-01-20
(Primary: On-site, Secondary: Online)
[Short Paper] Evaluation of Few Round Training with Distillation-Based Semi-Supervised Federated Learning
Yuki Yoshida (Tokyo Tech), Sohei Itahara (Kyoto Univ.), Takayuki Nishio (Tokyo Tech) SeMI2021-65
This paper studies how to reduce the number of rounds in model training using Distillation-based Semi-supervised federat... [more] SeMI2021-65
AI 2021-12-13
Fukuoka Aimattain Hakata station
(Primary: On-site, Secondary: Online)
Embedding Models for Logical Inference on Individuals and Subsumption Relations
Yukihiro Shiraishi, Ken Kaneiwa (UEC) AI2021-4
Knowledge graph embeddings are limited to predicting missing links. The embedding model EmEL++ can infer logical relatio... [more] AI2021-4
SITE, ISEC, LOIS 2021-11-12
Online Online Zero-Knowledge Proof of Isolation in Graph with Strong Secrecy
Tomoki Murakami, Toru Nakanishi, Katsunobu Imai (Hiroshima Univ.) ISEC2021-42 SITE2021-36 LOIS2021-25
Network systems can be represented using graphs. What is important for a tenant is that his system is well connected (co... [more] ISEC2021-42 SITE2021-36 LOIS2021-25
NLC 2021-09-16
Online Online An Attempt to Extraction of Cause-Effect Expressions by Sequence-Labeling
Hiroki Sakaji, Kiyoshi Izumi (The Univ. of Tokyo), Atsuo Kato (DIR), Shintaro Nagao (DAM) NLC2021-6
In this research, we propose a method for extracting cause-effect expressions using the general language model and clue ... [more] NLC2021-6
 Results 1 - 20 of 337  /  [Next]  
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