Takayasu Fushimi

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 41

Top Topics

Change Point Detection

Efficient Computation

Graph Embedding

Facility Location Problem

Top Venues

Appl. Netw. Sci.

Publications

Takayasu Fushimi, Hayato Otaki
A Method for Presenting Multiple Routes Considering Distance and Landscape Probability for Automotive Navigation Systems. WI/IAT (2023)
Shuta Ito, Takayasu Fushimi
Dynamic hypergraph embedding onto concentric hypersphere manifold intended for effective visualization. Appl. Netw. Sci. 8 (1) (2023)
Taichi Nakajima, Takayasu Fushimi
Visual Insights: Enhancing Online News Maps with Relevant Illustrations. WI/IAT (2023)
Takayasu Fushimi, Kazuki Sakamoto
Audience Prediction for Game Streaming Channels Based on Vectorization of User Comments. DS (2023)
Takayasu Fushimi, Takumi Miyazaki
Classification of Following Intentions Using Multi-layer Motif Analysis of Communication Density and Symmetry Among Users. COMPLEX NETWORKS (3) (2023)
Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
Constructing outlier-free histograms with variable bin-width based on distance minimization. Intell. Data Anal. 27 (1) (2023)
Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
Efficient computation of expected motif frequency in uncertain graphs by exploiting possible world marginalization and motif transition. Soc. Netw. Anal. Min. 12 (1) (2022)
Kazufumi Inafuku, Takayasu Fushimi, Tetsuji Satoh
Predicting stimulation index of information transmissions by local structural features in social networks. Soc. Netw. Anal. Min. 12 (1) (2022)
Kennosuke Yoshida, Takayasu Fushimi
Comparative Analysis of Information Spreading Focused on Topics and Emotions via Temporal Point Process. WI/IAT (2022)
Soshi Naito, Takayasu Fushimi
Improving accuracy of expected frequency of uncertain roles based on efficient ensembling. Appl. Netw. Sci. 7 (1) (2022)
Shuta Ito, Takayasu Fushimi
Visualization and Extraction of Important Structural Changes via Dynamic Hypergraph Embedding. WI/IAT (2022)
Shuta Ito, Takayasu Fushimi
High-Speed and Noise-Robust Embedding of Hypergraphs Based on Double-Centered Incidence Matrix. COMPLEX NETWORKS (2021)
Kazumi Saito, Takayasu Fushimi, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Efficient computation of target-oriented link criticalness centrality in uncertain graphs. Intell. Data Anal. 25 (5) (2021)
Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
Efficient analytical computation of expected frequency of motifs of small size by marginalization in uncertain network. ASONAM (2021)
Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
General framework of opening and closing shops over a spatial network based on stochastic utility under competitive and time-bounded environment. Soc. Netw. Anal. Min. 11 (1) (2021)
Soshi Naito, Takayasu Fushimi
Motif-Role Extraction in Uncertain Graph Based on Efficient Ensembles. COMPLEX NETWORKS (2021)
Kouzou Ohara, Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
Maximizing Network Coverage Under the Presence of Time Constraint by Injecting Most Effective k-Links. DS (2020)
Takayasu Fushimi, Seiya Okubo, Kazumi Saito
Multiple perspective centrality measures based on facility location problem under inter-group competitive environment. Appl. Netw. Sci. 5 (1) (2020)
Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Opening and Closing Dynamics of Competing Shop Groups over Spatial Networks. ASONAM (2020)
Kazufumi Inafuku, Takayasu Fushimi, Tetsuji Satoh
Stimulation Index of Cascading Transmission in Information Diffusion over Social Networks. COMPLEX NETWORKS (1) (2020)
Takayasu Fushimi, Kazumi Saito, Kouzou Ohara, Masahiro Kimura, Hiroshi Motoda
Efficient Computing of PageRank Scores on Exact Expected Transition Matrix of Large Uncertain Graph. IEEE BigData (2020)
Shuta Ito, Takayasu Fushimi
Fast Clustering of Hypergraphs Based on Bipartite-Edge Restoration and Node Reachability. iiWAS (2020)
Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
Estimating node connectedness in spatial network under stochastic link disconnection based on efficient sampling. Appl. Netw. Sci. 4 (1) (2019)
Takayasu Fushimi, Kiyoto Iwasaki, Seiya Okubo, Kazumi Saito
Construction of Histogram with Variable Bin-Width Based on Change Point Detection. DS (2019)
Kazufumi Inafuku, Takayasu Fushimi, Tetsuji Satoh
Structural Transition Analysis of Dynamic Network Based on Roles of Adding Edges. iiWAS (2019)
Takayasu Fushimi, Kennichi Kanno
Extraction of user demands based on similar tweets graph. ASONAM (2019)
Takayasu Fushimi, Seiya Okubo, Kazumi Saito
Facility Location Problem on Network Based on Group Centrality Measure Considering Cooperation and Competition. COMPLEX NETWORKS (1) (2019)
Takayasu Fushimi, Ryota Mori
High-Speed Clustering of Regional Photos Using Representative Photos of Different Regions. WI (2018)
Takayasu Fushimi, Mio Ono
Modeling Opinion Formation by Incorporating Users' Expertise and Friendshipness. iiWAS (2018)
Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
Improving approximate extraction of functional similar regions from large-scale spatial networks based on greedy selection of representative nodes of different areas. Appl. Netw. Sci. 3 (1) (2018)
Kazufumi Inafuku, Takayasu Fushimi, Tetsuji Satoh
Growth Analysis of Purchase History Graph Based on Relative Value of Edge Multiplicity. iiWAS (2018)
Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
A New Group Centrality Measure for Maximizing the Connectedness of Network Under Uncertain Connectivity. COMPLEX NETWORKS (1) (2018)
Takayasu Fushimi, Tetsuji Satoh
Constructing and visualizing topic forests for text streams. WI (2017)
Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
Accelerating Greedy K-Medoids Clustering Algorithm with L_1 Distance by Pivot Generation. ISMIS (2017)
Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
Fast Extraction Method of Functional Clusters from Large-Scale Spatial Networks Based on Transfer Learning. COMPLEX NETWORKS (2017)
Kouga Kobayashi, Yuri Nozaki, Takayasu Fushimi, Tetsuji Satoh
Category reformation using purchase logs. iiWAS (2017)
Kazufumi Inafuku, Takayasu Fushimi, Tetsuji Satoh
Graph generation method based on relative value of neighbor edges. iiWAS (2017)
Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
Clustering and Visualizing Functionally Similar Regions in Large-Scale Spatial Networks. J. Inf. Process. 25 (2017)
Takayasu Fushimi, Tetsuji Satoh, Kazumi Saito, Kazuhiro Kazama, Noriko Kando
Content Centrality Measure for Networks: Introducing Distance-Based Decay Weights. SocInfo (2) (2016)
Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda, Kazuhiro Kazama
Functional cluster extraction from large spatial networks. ASONAM (2016)
Kazufumi Inafuku, Takayasu Fushimi, Tetsuji Satoh
Extraction method of typical purchase patterns based on motif analysis of directed graphs. iiWAS (2016)
Takayasu Fushimi, Tetsuji Satoh, Kazumi Saito, Kazuhiro Kazama
Comparison of influence measures on structural changes focused on node functions. iiWAS (2015)
Eri Kobayashi, Takayasu Fushimi, Kazumi Saito, Tetsuo Ikeda
Similarity Search by Generating Pivots Based on Manhattan Distance. PRICAI (2014)
Takayasu Fushimi, Kazumi Saito, Kazuhiro Kazama
Estimating Network Structure from Anonymous Ego-centric Information. PKAW (2014)
Takayasu Fushimi, Kazumi Saito, Kazuhiro Kazama
Extracting Communities in Networks Based on Functional Properties of Nodes. PKAW (2012)
Shoko Kato, Akihiro Koide, Takayasu Fushimi, Kazumi Saito, Hiroshi Motoda
Network Analysis of Three Twitter Functions: Favorite, Follow and Mention. PKAW (2012)
Takayasu Fushimi, Yamato Kubota, Kazumi Saito, Masahiro Kimura, Kouzou Ohara, Hiroshi Motoda
Speeding Up Bipartite Graph Visualization Method. Australasian Conference on Artificial Intelligence (2011)
Takayasu Fushimi, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda, Kouzou Ohara
Finding Relation between PageRank and Voter Model. PKAW (2010)
Takayasu Fushimi, Takashi Kawazoe, Kazumi Saito, Masahiro Kimura, Hiroshi Motoda
What Does an Information Diffusion Model Tell about Social Network Structure?. PKAW (2008)