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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 63  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI 2024-01-19
11:25
Yamanashi Raki House Kaiji Trajectory Optimization of Multiple Aerial Base Stations for Traffic Changes
Maki Kozaki, Takeshi Hirai, Rei Oda, Naoki Wakamiya (Osaka Univ.) SeMI2023-68
This paper optimizes, we have identified trajectories of multiple aerial base stations (ABSs) to maximize the throughput... [more] SeMI2023-68
pp.100-105
COMP 2023-12-22
13:20
Miyazaki Miyazaki Univ. Machinaka Campus A fixed-parameter algorithm for dissimilar shortest paths
Ryo Funayama, Yasuaki Kobayashi (Hokkaido Univ.) COMP2023-20
(To be available after the conference date) [more] COMP2023-20
pp.21-28
RISING
(3rd)
2023-10-31
10:45
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Formulation of a Social Surplus Optimization Problem for Predicting Fishing Outcomes Using Federated Learning
Shotaro Kitano, Shota Miyagoshi, Takuji Tachibana (Univ. Fukui)
In cross-device federative learning, where each client participates with an IoT device such as a smartphone, a large num... [more]
MIKA
(3rd)
2023-10-10
15:35
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] A Consideration of Data Smoothing and Weight Orthogonalization in Blind Signal Separation Using Kurtosis Maximization Algorithm
Shogo Osakabe, Nobuyoshi Kikuma, Kunio Sakakibara, Yoshiki Sugimoto (NITech)
With the recent rapid evolution in wireless communications, the demand for high-quality, low-latency transmission and th... [more]
MSS, CAS, SIP, VLD 2023-07-07
15:20
Hokkaido
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Masaaki Miyasita, Norihiko Shinomiya (Soka Univ.) CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
pp.143-146
NLP, MSS 2023-03-17
10:20
Nagasaki
(Primary: On-site, Secondary: Online)
A method of suppressing false information diffusion in OSN
Atsushi Wakamatsu, Masaaki Miyashita, Norihiko Shinomiya (Soka Univ.) MSS2022-95 NLP2022-140
The diffusion of false information in online social networks is a serious problem.Despite various countermeasures, it is... [more] MSS2022-95 NLP2022-140
pp.156-159
CQ, CBE
(Joint)
2023-01-27
10:40
Ibaraki Epochal Tsukuba International Congress Center
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Msaaki Miyashita, Norihiko Shinomiya (Soka Univ.) CQ2022-73
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CQ2022-73
pp.69-72
CQ, MIKA
(Joint)
2021-09-09
11:35
Online Online On the Effectiveness of Breadth-First Search for Influence Maximization on Unknown Networks
Yuki Wakisaka, Ryotaro Matsuo (Kwansei Gakuin Univ.), Sho Tsugawa (Tsukuba Univ.), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) CQ2021-42
Recently, the influence maximization problem for unknown networks has received much attention. The problem aims to ident... [more] CQ2021-42
pp.29-34
NLP, MSS
(Joint)
2021-03-15
13:25
Online Online Graph Structure Optimization Using Genetic Algorithms
Hiroki Tajiri, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-59
There are many large and complex networks in the real world. These networks are modeled as graphs and analyzed using a v... [more] NLP2020-59
pp.23-28
NLP, MSS
(Joint)
2021-03-16
13:00
Online Online On Maximizing Utility of Information Diffusion in Social Networks
Masaaki Miyashita, Daisuke Kasamatsu, Norihiko Shinomiya (Soka Univ.) MSS2020-52
A purpose of information diffusion performed by information providers is to maximize the total utility of users, such as... [more] MSS2020-52
pp.43-46
IN, NS
(Joint)
2021-03-04
09:10
Online Online A Proposal for Two Types of Flows Admission Control Using Stochastic Evolutionary Game Theory
Kojima Taichi, Sumiko Miyata (SIT) IN2020-58
A call admission control scheme has been proposed to maximize the satisfaction of all users when accommodating communica... [more] IN2020-58
pp.25-30
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
11:35
Online Online A Note on Accurate Distress Image Classification of Road Structures Using Attention Map based on Text Data
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a correlation-aware attention branch network (CorABN) using multi-modal data for deterioration level... [more]
NS, IN
(Joint)
2020-03-06
15:10
Okinawa Royal Hotel Okinawa Zanpa-Misaki
(Cancelled but technical report was issued)
A proposal of accesses control for two types web contents considering tolerable delay time
Kosuke Watanabe, Sumiko Miyata (SIT) IN2019-146
When a user browses a Web site, the user has time to wait until the Web site is displayed (hereinafter,
tolerable delay... [more]
IN2019-146
pp.405-410
MIKA
(2nd)
2019-10-03
11:15
Hokkaido Hokkaido Univ. [Poster Presentation] Study on the Effectiveness of Random Node Sampling in Influence Maximization on Graph
Yuki Wakisaka, Kazuyuki Yamashita (Kwansei Gakuin Univ.), Sho Tsugawa (Univ. of Tsukuba), Hiroyuki Ohsaki (Kwansei Gakuin Univ.)
Influence maximization in a social network has been intensively studied,
motivated by its application to so-called vi... [more]

MIKA
(2nd)
2019-10-03
11:15
Hokkaido Hokkaido Univ. [Poster Presentation] An Evaluation of Data-Based Influence Maximization Algorithm using Retweet Logs
Takuya Nagase, Sho Tsugawa (Univ.Tsukuba)
Influence maximization on social networks has been extensively studied in the literature. Influence maximization algorit... [more]
IBISML 2019-03-05
14:30
Tokyo RIKEN AIP Efficient Exploration by Variational Information Maximizing Exploration on Reinforcement Learning
Kazuki Doi, Keigo Okawa (Gifu Univ.), Motoki Shiga (Gifu Univ./JST/RIKEN) IBISML2018-107
In reinforcement learning,the policy function may not be optimized properly if the observed state space is limited to lo... [more] IBISML2018-107
pp.17-22
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] An Efficient Branch-and-Bound Algorithm for Submodular Function Maximization
Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara (Osaka Univ./RIKEN) IBISML2018-68
The submodular function maximization is an attractive optimization model that appears in many real applications.
Altho... [more]
IBISML2018-68
pp.183-190
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] Regularized Modal Regression via Iteratively Reweighted Least-Squares
Ryoya Yamasaki, Toshiyuki Tanaka (Kyoto Univ.) IBISML2018-88
In modal regression, iterative methods that are based on the modal EM (MEM) and those based on the iteratively reweighte... [more] IBISML2018-88
pp.329-335
NLP, CCS 2018-06-10
10:45
Kyoto Kyoto Terrsa Use of recurrent infomax to improve the information processing capability of input-driven recurrent neural networks
Hisashi Iwade (Kyoto Univ.), Kohei Nakajima (Univ. Tokyo/JST PRESTO), Takuma Tanaka (Shiga Univ.), Toshio Aoyagi (Kyoto Univ.) NLP2018-42 CCS2018-15
Reservoir computing (RC) is known to be a novel information processing framework, which exploits the inherent transient ... [more] NLP2018-42 CCS2018-15
pp.79-84
RCS 2018-04-23
11:20
Yamaguchi Hotel New Tanaka, Yuda Onsen Optimization of Beam Patterns for Analog Beamforming of Single User Massive MIMO Transmissions
Maki Arai, Kei Sakaguchi, Kiyomichi Araki (Tokyo Inst. of Tech.) RCS2018-5
This paper proposes optimal beam patterns of analog beamforming for SU (Single User) massive MIMO (Multi-Input Multi-Out... [more] RCS2018-5
pp.25-30
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