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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IBISML, NC, IPSJ-BIO, IPSJ-MPS [detail] | 2024-06-20 16:55 |
Okinawa | OIST | Causal Structure Learning for Zero-Inflated Data Based on Bayes Code Masatoshi Kobayashi, Yuta Kuboki, Shin Matsushima (UTokyo)  NC2024-12 IBISML2024-12 |
(To be available after the conference date) [more] | NC2024-12 IBISML2024-12 pp.79-84 |
| IA, SITE, IPSJ-IOT [detail] | 2024-03-13 15:55 |
Okinawa | Miyakojima City Future Creation Center (Primary: On-site, Secondary: Online) |
Towards Interactive Causal Analysis of Network Logs Satoru Kobayashi, Hironori Ishii, Toshihiro Yamauchi (Okayama Univ.), Osamu Akashi, Kensuke Fukuda (NII) SITE2023-105 IA2023-111 |
Causal analysis of network logs is helpful for operators to understand the general behavior of network systems for troub... [more] | SITE2023-105 IA2023-111 pp.233-240 |
| MI | 2024-03-03 09:41 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
A preliminary study on deep causal discovery model for image classification Ryohei Motoda, Megumi Nakao (Kyoto Univ.) MI2023-33 |
Although saliency map used in image classification can visualize the regions correlated with predicted class, it cannot ... [more] | MI2023-33 pp.11-14 |
| PRMU, IBISML, IPSJ-CVIM | 2024-03-03 17:15 |
Hiroshima | Hiroshima Univ. Higashi-Hiroshima campus (Primary: On-site, Secondary: Online) |
Cyclic Causal Discovery for Large-scale Interventional Data Masatoshi Kobayashi (UT), Maria Brbic (EPFL), Shin Matsushima (UT) IBISML2023-46 |
(To be available after the conference date) [more] | IBISML2023-46 pp.44-48 |
| WIT, HI-SIGACI | 2023-12-07 11:15 |
Tokyo | AIST Tokyo Waterfront (TBD) | On Modeling Daily Activities of the Elderly Living Alone Using Markov Series of Dirichlet Multinomial Mixture Models Ken Sadohara (AIST) WIT2023-30 |
To develop smart home technology designed to analyze the activity of residents based on the logs of installed sensors, a... [more] | WIT2023-30 pp.31-36 |
| CS | 2023-11-10 09:15 |
Shizuoka | Plaza Verde | [Invited Lecture]
Similarity based Contents Caching and Contents Discovery
-- Toward Further Development of Information-Centric Networking -- Ryo Nakamura (Fukuoka Univ.) CS2023-73 |
In this talk, we review advancement in the research area of ICN (Information-Centric Networking) from the point of view ... [more] | CS2023-73 pp.37-41 |
| IA | 2023-09-21 13:50 |
Hokkaido | Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
A consideration about a discovering method of privacy-enhanced authoritative DNS servers Satoru Sunahara (CIST), Yong Jin (Tokyo Tech), Katsuyoshi Iida (HU) IA2023-11 |
Plain-text communication of DNS queries poses a risk of privacy leakage. Therefore, it is imperative to achieve protecti... [more] | IA2023-11 pp.1-5 |
| ICM | 2023-03-17 16:55 |
Okinawa | Okinawa Prefectural Museum and Art Museum (Primary: On-site, Secondary: Online) |
Backoff-based Opportunistic Routing Using Server-controlled Destination Discovery Takuma Yamazaki (SIT), Eri Hosonuma, Shota Ono (Univ. of Tokyo), Taku Yamazaki, Takumi Miyoshi (SIT) ICM2022-66 |
Backoff-based opportunistic routing (OR) autonomously selects forwarders based on a random backoff time calculated by co... [more] | ICM2022-66 pp.135-138 |
| KBSE | 2023-03-17 14:10 |
Hiroshima | JMS ASTERPLAZA (Primary: On-site, Secondary: Online) |
Analyzing Business Processes by Automatically Detecting KPI Thresholds Based on Trace Variants Taro Takei, Hiroki Horita (Ibaraki Univ.) KBSE2022-66 |
One method for analyzing complex business processes is to filter event logs by KPI thresholds to extract only specific p... [more] | KBSE2022-66 pp.73-78 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-15 09:45 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
A Preliminary Study on Random Walk based Similar-Contents Discovery Ryo Nakamura (Fukuoka Univ.) CQ2022-80 |
As we know, the contents discovery is one of fundamental research topics in the field of communication networks such as ... [more] | CQ2022-80 pp.1-6 |
| ET | 2023-03-14 09:50 |
Tokushima | Tokushima University (Primary: On-site, Secondary: Online) |
Support System for Experiencing Feature Discovery Method Based on Ad-Hoc Categories Using MANZAI Shogo Yano, Atsushi Ashida, Tomoko Kojiri (Kansai Univ.) ET2022-64 |
To create new products by changing the characteristics of existing objects, it is important to be aware of many characte... [more] | ET2022-64 pp.17-24 |
| IBISML | 2022-12-22 10:10 |
Kyoto | Kyoto University (Primary: On-site, Secondary: Online) |
IBISML2022-40 |
Supervised learning, the core technology for current "AI", predicts the future as an extension of the experienced past a... [more] | IBISML2022-40 p.1 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 13:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Feature selection in prediction model by LiNGAM Taiyu Sumida, Takashi Takekawa (Kogakuin Univ.) NC2022-17 IBISML2022-17 |
To improve the accuracy of machine learning models, it is important to perform feature engineering based on the features... [more] | NC2022-17 IBISML2022-17 pp.123-128 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 15:25 |
Okinawa | (Primary: On-site, Secondary: Online) |
Toward the Design of a Hybrid Algorithm of Asymmetries and Score-Based Methods in Causal Search Kota Misaki, Shin Matsushima (UTokyo) NC2022-20 IBISML2022-20 |
There is a high demand for understanding causal relationships among multiple factors in the social and natural sciences.... [more] | NC2022-20 IBISML2022-20 pp.143-148 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 15:50 |
Okinawa | (Primary: On-site, Secondary: Online) |
Causal Discovery in Discrete Data Using NML Code Length Based on MDL Principle Masatoshi Kobayashi, Nishimoto Hiroki, Shin Mastushima (Todai) NC2022-21 IBISML2022-21 |
Inference on the causal structure among random variables from only a finite number of observed data is one of the most i... [more] | NC2022-21 IBISML2022-21 pp.149-155 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2022-06-28 16:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Extending HSIC for Testing Conditional Independence Bingyuan Zhang, Joe Suzuki (Osaka Univ.) NC2022-23 IBISML2022-23 |
Conditional Independence (CI) testing is a fundamental problem in statistics, which is applied directly to causal discov... [more] | NC2022-23 IBISML2022-23 pp.164-169 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 13:30 |
Online | Online | What Kind of Images to Post on Instagram? Image Recommendation for Marketing Yiwei Zhang, Toshihiko Yamasaki (UTokyo) ITS2021-53 IE2021-62 |
Social media is a popular platform for brands to allocate marketing budget and build their relationship with customers n... [more] | ITS2021-53 IE2021-62 pp.167-172 |
| PRMU | 2021-12-16 15:25 |
Online | Online | [Short Paper]
Evaluation of Time Series Causal Discovery Method Using Plant Simulator Kazuki Koyama, Daigo Fujiwara, Keisuke Kiritoshi, Tomomi Okawachi, Tomonori Izumitani (NTT Communications), Keisuke Asahara, Shohei Shimizu (Shiga Univ.) PRMU2021-34 |
In order to improve operation, the use of process data consisting of time-series data from sensors and other sources is ... [more] | PRMU2021-34 pp.57-60 |
| R | 2021-11-30 13:25 |
Online | Online | Predicting Vulnerability Discovery Processes in Support Periods for an Operating System Kento Kubota, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) R2021-35 |
In this note, we classify the severity level of software vulnerabilities founded in Debian Linux Version 8.0, which is a... [more] | R2021-35 pp.7-12 |
| ICSS | 2021-11-30 10:20 |
Kochi | KOCHIJYO HALL (Primary: On-site, Secondary: Online) |
Monitoring IPv6 packets by dynamic routing in a LAN configured with IPv4 Yuki Yagi, Hideya Ochiai, Hiroshi Esaki (the Univ. of Tokyo) ICSS2021-56 |
With IPv4 address exhaustion, the transition to IPv6 has been progressing in recent years, but the security measures for... [more] | ICSS2021-56 pp.61-66 |
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