斉藤和巳 (Saito Kazumi) - マイポータル - researchmap

基本情報

所属: 神奈川大学情報学部計算機科学科教授

研究者番号: 80379544
J-GLOBAL ID: 201801007270942795
researchmap会員ID: 7000028172

研究分野

2

論文

272

単語特徴ベクトルとグラフ可視化による感情ラベルの類似性や相違性の分析法

情報処理学会論文誌,数理モデル化と応用 2024年3月査読有り
Constructing Outlier-free Histograms with Variable Bin-Width based on Distance Minimization

Intelligent Data Analysis - An International Journal 2023年1月査読有り
Centrality measure and visualization technique for multiple-parent nodes of earthquakes based on correlation-metrics

Applied Network Science 2023年1月査読有り
Efficient computation of expected motif frequency in uncertain graphs by exploiting possible world marginalization and motif transition

Social Network Analysis and Mining 2022年9月査読有り
Spatio-Temporal Clustering of Earthquakes Based on Distribution of Magnitudes

Applied Network Science 2021年12月査読有り
Efficient computation of target-oriented link criticalness centrality in uncertain graphs

Kazumi Saito, Takayasu Fushimi, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda

Intelligent Data Analysis - An International Journal 25(5) 1323-1343 2021年10月査読有り
General Framework of Opening and Closing Shops over a Social Network based on Stochastic Utility under Competitive and Time-bounded Environment

Social Network Analysis and Mining 11(1) 70-70 2021年8月査読有り
CPI-model based analysis of sparse k-means clustering algorithms

International Journal of Data Science and Analytics 12(3) 229-248 2021年6月査読有り
Multiple Perspective Centrality Measures Based on Facility Location Problem Under Inter-Group Competitive Environment

Applied Network Science 5(1) 80-80 2020年10月査読有り
Resampling-based Predictive Simulation Framework of Stochastic Diffusion Model for Identifying Top-K Influential Nodes

International Journal of Data Science and Analytics 2020年9月査読有り
Spatio-Temporal Clustering of Earthquakes Based on Average Magnitudes

Proc. of the 9th International Conference on Complex Networks and Their Applications(ComplexNetwork2020) 2020年査読有り
Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph

Proc. of the 2020 IEEE International Conference on Big Data (BigData2020) 916-923 2020年査読有り
Opening and Closing Dynamics of Competing Shop Groups over Spatial Networks

Proc. of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2020) 393-400 2020年査読有り
Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links

Proc. of the 23th Internatioanal Conference on Discovery Science(DS2020) 421-436 2020年査読有り
許容避難時間の下でのクリティカル道路リンク検出

地域安全学会論文集 2019年11月査読有り
Critical Node Identification based on Articulation Point Detection for Uncertain Network," International Journal of Networking and Computing

International Journal of Networking and Computing, 2019年8月査読有り
Estimating Node Connectedness in Spatial Network under Stochastic Link Disconnection Based on Efficient Sampling

Applied Network Science 4(1) 66-24 2019年8月査読有り
Resampling-based Framework for Unbiased Estimator of Node Centrality over Large Complex Network

Proc. of the 22th Internatioanal Conference on Discovery Science(DS2019) 2019年査読有り
Efficient Identification of Critical Links Based on Reachability under the Presence of Time Constraint

Proc. of the 16th Pacific Rim International Conference on Artificial Intelligence (PRICAI2019) 2019年査読有り
Construction of Histogram with Variable Bin-width based on Change Point Detection

Proc. of the 22th Internatioanal Conference on Discovery Science(DS2019) 40-50 2019年査読有り

もっとみる

MISC

4

差分累積値に基づく農業環境データの可視化分析法

岩﨑清斗, 伏見卓恭, 大久保誠也, 斉藤和巳

情報処理学会論文誌, 数理モデル化と応用 12(2) 12-19 2019年7月査読有り
Which Targets to Contact First to Maximize Influence over Social Network

斉藤和巳, 木村昌弘, 大原剛三

The 2013 International Conference on Social Computing, Behavioral Modeling, and Prediction 27 1-4 2013年査読有り
Interpretable likelihood for vector representable topic

The 11th International Conference, Knowledge-based Intelligent Information and Engineering Systems 4694 202-+ 2007年査読有り
Modeling of Growing Networks with Communities

木村昌弘, 斉藤和巳, 上田修功

IEEE International Workshop on Neural Networks for Signal Processing 102(253) 61-66 2002年査読有り

書籍等出版物

1

ウェブサイエンス入門インターネットの構造を解き明かす

ＮＴＴ出版 2007年6月査読有り

講演・口頭発表等

145

"A New Group Centrality Measure for Maximizing the Connectedness of Network under Uncertain Connectivity

the 7th International Conference on Complex Networks and Their Applications 2018年12月
Critical Node Identification based on Articulation Point Detection for Network with Uncertain Connectivity

the 6th International Symposium on Computing and Networking 2018年11月
Critical Link Identification based on Bridge Detection for Network with Uncertain Connectivity

the 24th International Symposium on Methodologies for Intelligent Systems 2018年10月
Efficient Detection of Critical Links to Maintain Performance of Network with Uncertain Connectivity

the 15th Pacific Rim International Conference on Artificial Intelligence 2018年8月
Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning

the 6th International Conference on Complex Networks and Their Applications 2017年12月
Discovering Cooperative Structure among Online Items for Attention Dynamics

2017 IEEE International Conference on Data Mining Workshops 2017年11月
Maximizing Network Performance based on Group Centrality by Creating Most Effective k-links

the 4th IEEE International Conference on Data Science and Advanced Analytics 2017年10月
Visualizing Switching Regimes Based on Multinomial Distribution in Buzz Marketing Sites

The 23th International Symposium on Methodologies for Intelligent Systems 2017年
An Accurate and Efficient method to Detect Critical Links to Maintain Information Flow in Network

The 23th International Symposium on Methodologies for Intelligent Systems 2017年
Accelerating Greedy K-medoids Clustering Algorithm with L1 Distance by Pivot Generation

The 23th International Symposium on Methodologies for Intelligent Systems 2017年
大規模ネットワークでの中心性計算と影響最大化

第13回ネットワーク生態学シンポジウム 2016年
Pivot-based k-means Algorithm for Numerous-class Data Sets

The International Conference on Data Mining 2016年
Modeling of Travel Behavior Processes from Social Media

The 14th Pacific Rim International Conference on Artificial Intelligence 2016年
Functional Cluster Extraction from Large Spatial Networks

The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2016年
Extracting and Characterizing Functional Communities in Spatial Networks

The Workshop on Artificial Intelligence for Tourism 2016年
Detecting Critical Links in Complex Network to Maintain Information Flow/Reachability

The 14th Pacific Rim International Conference on Artificial Intelligence 2016年
Content Centrality Measure for Networks: Introducing Distance-Based Decay Weights

The 8th International Conference on Social Informatics 2016年
Analyzing Similarity Structure of Spatial Networks Based on Degree Mixing Patterns

The 30th IEEE International Conference on Advanced Information Networking and Applications 2016年
Accelerating computation of distance based centrality measures for spatial networks

The Nineteenth Internatioanal Conference on Discovery Science 2016年
ビッグデータの利活用について-ソーシャルメディア-

ビッグデータの利活用に関する講習会 2015年

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