![](https://dblp.org/img/logo.ua.320x120.png)
![](https://dblp.org/img/dropdown.dark.16x16.png)
![](https://dblp.org/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.org/img/search.dark.16x16.png)
![search dblp](https://dblp.org/img/search.dark.16x16.png)
default search action
Yoshifumi Kusunoki
Person information
Refine list
![note](https://dblp.org/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c25]Kensuke Ajimoto, Yuma Yamamoto, Yoshifumi Kusunoki, Tomoharu Nakashima:
A Study on Multi-Class Online Fuzzy Classifiers for Dynamic Environments. FUZZ 2024: 1-7 - [c24]Yoshifumi Kusunoki:
Revised Margin-Maximization Method for Fuzzy Nearest Prototype Classification. MDAI 2024: 140-151 - 2023
- [c23]Yoshifumi Kusunoki
:
Maximum-Margin Nearest Prototype Classifiers with the Sum-over-Others Loss Function and a Performance Evaluation. IUKM (2) 2023: 37-46 - 2022
- [j7]Keiji Tatsumi
, Shunsuke Tsujioka, Ryota Masui, Yoshifumi Kusunoki
, Yeboon Yun
:
Determination of reinforcement degrees in constructing large-scale structures by using multiclass support vector machines. Knowl. Based Syst. 249: 108807 (2022) - [c22]Yoshifumi Kusunoki
, Katsuhiko Kojima, Keiji Tatsumi
:
Transductive Learning Based on Low-Rank Representation with Convex Constraints. IUKM 2022: 291-301 - 2021
- [j6]Yoshifumi Kusunoki, Jerzy Blaszczynski
, Masahiro Inuiguchi, Roman Slowinski
:
Empirical risk minimization for dominance-based rough set approaches. Inf. Sci. 567: 395-417 (2021) - [c21]Tatsuhisa Watanabe, Tomoharu Nakashima, Yoshifumi Kusunoki:
Change Detection For Area Surveillance Using A Moving Camera. ECMS 2021: 220-226 - [c20]Yasuhiro Matsuda, Tomoharu Nakashima, Yoshifumi Kusunoki:
Employing a View Field in Autonomous Robots and Optimization of Checkpoint Placement in Area Surveillance. SICE 2021: 27-32 - [c19]Keiji Tatsumi, Ryota Masui, Shunsuke Tsujioka, Yoshifumi Kusunoki, Yeboon Yun:
Multiclass Support Vector Machines for Determination of Reinforcement Degree in Constructing Large-scale Structures Based on Data Characteristics. SMC 2021: 1513-1518 - 2020
- [c18]Katsuhiko Kojima, Yoshifumi Kusunoki, Keiji Tatsumi:
Manifold Learning with Intrinsic Distance Estimation Using Kernelized Linear Model for Metric Tensors. SMC 2020: 3558-3563
2010 – 2019
- 2019
- [c17]Yoshifumi Kusunoki, Keiji Tatsumi:
Scalarization for Approximate Multiobjective Multiclass Support Vector Machine Using the Large-k Norm. EUSFLAT Conf. 2019 - [c16]Yoshifumi Kusunoki
, Jerzy Blaszczynski
, Masahiro Inuiguchi, Roman Slowinski
:
Interpretation of Variable Consistency Dominance-Based Rough Set Approach by Minimization of Asymmetric Loss Function. IUKM 2019: 135-145 - [c15]Keiji Tatsumi
, Takahumi Sugimoto, Yoshifumi Kusunoki
:
Approximate Multiobjective Multiclass Support Vector Machine Restricting Classifier Candidates Based on k-Means Clustering. IUKM 2019: 271-283 - 2018
- [j5]Yoshifumi Kusunoki
, Chiharu Wakou, Keiji Tatsumi:
Maximum-Margin Model for Nearest Prototype Classifiers. J. Adv. Comput. Intell. Intell. Informatics 22(4): 565-577 (2018) - [c14]Yoshifumi Kusunoki
, Keiji Tatsumi:
A Multi-class Support Vector Machine Based on Geometric Margin Maximization. IUKM 2018: 101-113 - [c13]Masaki Saito, Yoshifumi Kusunoki
:
Axiomatization and Generalization of the Core for Assignment Games on the Complete Graph. SMC 2018: 1593-1598 - [c12]Yasuhiro Matsugi, Takafumi Sugimoto, Yuxiao Qi, Yoshifumi Kusunoki
, Keiji Tatsumi:
Approximate Multiobjective Multiclass SVM by Using the Reference Point Method. SMC 2018: 3535-3540 - 2017
- [j4]Yoshifumi Kusunoki
, Tetsuzo Tanino:
Investigation on irreducible cost vectors in minimum cost arborescence problems. Eur. J. Oper. Res. 261(1): 214-221 (2017) - [c11]Chiharu Wakou, Yoshifumi Kusunoki
, Keiji Tatsumi
:
Learning prototype-based classifiers by margin maximization. IFSA-SCIS 2017: 1-6 - 2015
- [c10]Jerzy Blaszczynski
, Yoshifumi Kusunoki
, Masahiro Inuiguchi, Roman Slowinski
:
Empirical Risk Minimization for Variable Consistency Dominance-Based Rough Set Approach. RSFDGrC 2015: 63-72 - [p1]Yoshifumi Kusunoki
, Masahiro Inuiguchi:
Structure-Based Attribute Reduction: A Rough Set Approach. Feature Selection for Data and Pattern Recognition 2015: 113-160 - 2014
- [c9]Yoshifumi Kusunoki
, Tetsuzo Tanino:
Boolean kernels and clustering with pairwise constraints. GrC 2014: 141-146 - 2013
- [c8]Yoshifumi Kusunoki
, Tetsuzo Tanino:
Specific-to-general approach for rule induction using discernibility based dissimilarity. GrC 2013: 178-181 - [c7]Yoshifumi Kusunoki
, Jerzy Blaszczynski
, Masahiro Inuiguchi, Roman Slowinski
:
Empirical Risk Minimization for Variable Precision Dominance-Based Rough Set Approach. RSKT 2013: 133-144 - 2011
- [j3]Yoshifumi Kusunoki
, Masahiro Inuiguchi:
Variable Precision Rough Set Model in Information Tables with Missing Values. J. Adv. Comput. Intell. Intell. Informatics 15(1): 110-116 (2011) - [c6]Yoshifumi Kusunoki
, Tetsuzo Tanino:
Agglomerative hierarchical clustering with dissimilarity using discernibility on attribute subsets for nominal data sets. GrC 2011: 357-362 - [c5]Masahiro Inuiguchi, Masahiko Tsuji, Yoshifumi Kusunoki
, Masayo Tsurumi:
LEM2-Based Rule Induction from Data Tables with Imprecise Evaluations. RSKT 2011: 201-207 - 2010
- [j2]Yoshifumi Kusunoki
, Masahiro Inuiguchi:
A unified approach to reducts in dominance-based rough set approach. Soft Comput. 14(5): 507-515 (2010) - [c4]Yoshifumi Kusunoki
, Masahiro Inuiguchi, Masanori Inoue, Tetsuzo Tanino:
Rule Induction from Information Tables with Ordinal Decision Attributes. GrC 2010: 271-276 - [c3]Masahiro Inuiguchi, Ryuta Enomoto, Yoshifumi Kusunoki
:
Non-hierarchical Clustering of Decision Tables toward Rough Set-Based Group Decision Aid. MDAI 2010: 195-206
2000 – 2009
- 2009
- [j1]Masahiro Inuiguchi, Yukihiro Yoshioka, Yoshifumi Kusunoki
:
Variable-precision dominance-based rough set approach and attribute reduction. Int. J. Approx. Reason. 50(8): 1199-1214 (2009) - 2008
- [c2]Yoshifumi Kusunoki, Masahiro Inuiguchi:
A Comprehensive Study on Reducts in Dominance-Based Rough Set Approach. MDAI 2008: 167-178 - 2006
- [c1]Yoshifumi Kusunoki, Masahiro Inuiguchi:
Rule Induction Via Clustering Decision Classes. RSCTC 2006: 928-938
Coauthor Index
![](https://dblp.org/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-22 19:40 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint