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Shoji Hirano

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2009
71EEShusaku Tsumoto, Shoji Hirano: Statistical Independence and Determinants in a Contingency Table - Interpretation of Pearson Residuals based on Linear Algebra -. Fundam. Inform. 90(3): 251-267 (2009)
70EEShusaku Tsumoto, Shoji Hirano: Contingency Matrix Theory II: Degree of Dependence as Granularity. Fundam. Inform. 90(4): 427-442 (2009)
2008
69EEShusaku Tsumoto, Shoji Hirano: Mining Trajectories of Laboratory Data using Multiscale Matching and Clustering. CBMS 2008: 626-631
68EEShusaku Tsumoto, Shoji Hirano: Statistical Independence and Contingency Matrix. ICDM Workshops 2008: 643-648
67EEShusaku Tsumoto, Shoji Hirano: Fuzziness from attribute generalization in information table. IEEE ICCI 2008: 455-461
66EEShusaku Tsumoto, Shoji Hirano: Statistical independence in three-variables contingency cube. IEEE ICCI 2008: 468-474
65EEShoji Hirano, Shusaku Tsumoto: Detection of Risk Factors as Temporal Data Mining. PAKDD Workshops 2008: 143-156
64EEShusaku Tsumoto, Shoji Hirano: Statistical Independence of Multi-variables from the Viewpoint of Linear Algebra. RSCTC 2008: 103-112
63EEShoji Hirano, Shusaku Tsumoto: Hierarchical Clustering of Non-Euclidean Relational Data Using Indiscernibility-Level. RSKT 2008: 332-339
62EEShoji Hirano, Shusaku Tsumoto: Discovery of Clusters from Proximity Data: An Approach Using Iterative Adjustment of Binary Classifications. Communications and Discoveries from Multidisciplinary Data 2008: 251-268
61EEShusaku Tsumoto, Shoji Hirano: Contingency Matrix Theory I: Rank and Statistical Independence in a Contigency Table. Transactions on Computational Science 2: 161-179 (2008)
2007
60EEShusaku Tsumoto, Shoji Hirano: Meaning of Pearson Residuals - Linear Algebra View. GrC 2007: 465-470
59EEShoji Hirano, Shusaku Tsumoto: Identifying Exacerbating Cases in Chronic Diseases Based on the Cluster Analysis of Trajectory Data on Laboratory Examinations. ICDM Workshops 2007: 151-156
58EEShusaku Tsumoto, Shoji Hirano: Charcteristics of Pearson Residuals in a Contingency Matrix. IEEE ICCI 2007: 195-204
57EEShoji Hirano, Shusaku Tsumoto: Discovery of Risky Cases in Chronic Diseases: An Approach Using Trajectory Grouping. JSAI 2007: 289-302
56EEShusaku Tsumoto, Shoji Hirano: Visualization of Similarities and Dissimilarities Between Rules Using Multidimensional Scaling. KES (2) 2007: 978-986
55EEShoji Hirano, Shusaku Tsumoto: Trajectory Analysis of Laboratory Tests as Medical Complex Data Mining. MCD 2007: 27-41
54EEShoji Hirano, Shusaku Tsumoto: Dealing with granularity on non-euclidean relational data based on indiscernibility level. SMC 2007: 3772-3777
53EEShusaku Tsumoto, Shoji Hirano: Contingency matrix theory. SMC 2007: 3778-3783
52EEShusaku Tsumoto, Shoji Hirano: Visualization of Differences between Rules' Syntactic and Semantic Similarities using Multidimensional Scaling. Fundam. Inform. 78(4): 561-573 (2007)
51EEShusaku Tsumoto, Shoji Hirano: Detection of interesting rules using visualization of differences between rules' syntactic and semantic similarities using multidimensional scaling. KES Journal 11(5): 345-354 (2007)
2006
50 Salvatore Greco, Yutaka Hata, Shoji Hirano, Masahiro Inuiguchi, Sadaaki Miyamoto, Hung Son Nguyen, Roman Slowinski: Rough Sets and Current Trends in Computing, 5th International Conference, RSCTC 2006, Kobe, Japan, November 6-8, 2006, Proceedings Springer 2006
49EEShoji Hirano, Shusaku Tsumoto: Cluster Analysis of Time-Series Medical Data Based on the Trajectory Representation and Multiscale Comparison Techniques. ICDM 2006: 896-901
48EEShusaku Tsumoto, Shoji Hirano: Residual Matrix and Statistical Independence in a Contingency Table. ICDM Workshops 2006: 433-437
47EEShoji Hirano, Shusaku Tsumoto: Characteristics of Indiscernibility Degree in Rough Clustering Examined Using Perfect Initial Equivalence Relations. ISMIS 2006: 454-462
46EEShusaku Tsumoto, Shoji Hirano: Distribution of Determinants of Contingency Matrix. RSCTC 2006: 567-576
45EEShusaku Tsumoto, Shoji Hirano: Interpretation of Contingency Matrix Using Marginal Distributions. RSCTC 2006: 577-586
44EEShoji Hirano, Shusaku Tsumoto: A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering. RSCTC 2006: 872-881
2005
43EEShoji Hirano, Shusaku Tsumoto: An indiscernibility-based clustering method. GrC 2005: 468-473
42EEShusaku Tsumoto, Shoji Hirano: Degree of Dependence as Granularity in a Contingency Table. GrC 2005: 63-69
41EEShusaku Tsumoto, Shoji Hirano: Linear independence in a contingency table. GrC 2005: 646-651
40EEShoji Hirano, Shusaku Tsumoto: Grouping of Soccer Game Records by Multiscale Comparison Technique and Rough Clustering. HIS 2005: 399-404
39EEShusaku Tsumoto, Shoji Hirano: Visualization of Similarities and Dissimilarities in Rules Using Multidimensional Scaling. ISMIS 2005: 38-46
38EEShoji Hirano, Shusaku Tsumoto: Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching. ISMIS 2005: 612-621
37EEShoji Hirano, Shusaku Tsumoto: On Constructing Clusters from Non-Euclidean Dissimilarity Matrix by Using Rough Clustering. JSAI Workshops 2005: 5-16
36EEShusaku Tsumoto, Shoji Hirano: On Degree of Dependence Based on Contingency Matrix. RSFDGrC (1) 2005: 471-480
35EEShoji Hirano, Shusaku Tsumoto: A Clustering Method for Spatio-temporal Data and Its Application to Soccer Game Records. RSFDGrC (1) 2005: 612-621
34EEShoji Hirano, Shusaku Tsumoto: A Parallel, Structural Comparison Scheme of Time-Series Implemented on a PC Cluster. SAINT Workshops 2005: 344-347
33EEShusaku Tsumoto, Shoji Hirano, Hidenao Abe, Hideaki Nakakuni, Eisuke Hanada: Clinical Decision Support Based on Mobile Telecommunication Systems. Web Intelligence 2005: 700-703
32EEShoji Hirano, Shusaku Tsumoto: Rough representation of a region of interest in medical images. Int. J. Approx. Reasoning 40(1-2): 23-34 (2005)
31EEShusaku Tsumoto, Shoji Hirano: Automated discovery of chronological patterns in long time-series medical datasets. Int. J. Intell. Syst. 20(7): 737-757 (2005)
2004
30EEShusaku Tsumoto, Shoji Hirano: A Comparative Study of Clustering Methods for Long Time-Series Medical Databases. MDAI 2004: 260-272
29EEShoji Hirano, Shusaku Tsumoto: Finding Interesting Pass Patterns from Soccer Game Records. PKDD 2004: 209-218
28EEShoji Hirano, Shusaku Tsumoto: On the Degree of Independence of a Contingency Matrix. Rough Sets and Current Trends in Computing 2004: 219-228
27EEShoji Hirano, Shusaku Tsumoto: Detection of Differences between Syntactic and Semantic Similarities. Rough Sets and Current Trends in Computing 2004: 529-538
26EEShoji Hirano, Xiaoguang Sun, Shusaku Tsumoto: Comparison of clustering methods for clinical databases. Inf. Sci. 159(2): 155-165 (2004)
2003
25EEShoji Hirano, Shusaku Tsumoto: Empirical Comparison of Clustering Methods for Long Time-Series Databases. Active Mining 2003: 268-286
24EEShusaku Tsumoto, Shoji Hirano, Eisuke Hanada: Internet-based Decision Support: Towards E-Hospital. COMPSAC 2003: 595-600
23EEShusaku Tsumoto, Shoji Hirano: Visualization of Rule's Similarity using Multidimensional Scaling. ICDM 2003: 339-346
22EEShusaku Tsumoto, Shoji Hirano: Pattern Discovery based on Rule Induction and Taxonomy Generation. ICDM 2003: 661-664
21EEShoji Hirano, Shusaku Tsumoto: Indiscernibility-Based Clustering: Rough Clustering. IFSA 2003: 378-386
20EEShoji Hirano, Shusaku Tsumoto: Empirical Evaluation of Dissimilarity Measures for Time-Series Multiscale Matching. ISMIS 2003: 454-462
19EEShoji Hirano, Shusaku Tsumoto: Dealing with Relative Similarity in Clustering: An Indiscernibility Based Approach. PAKDD 2003: 513-518
18EEShoji Hirano, Shusaku Tsumoto: An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations. PKDD 2003: 192-203
17EEShoji Hirano, Shusaku Tsumoto: An Indiscernibility-Based Clustering Method with Iterative Refinement of Equivalence Relations -Rough Clustering-. JACIII 7(2): 169-177 (2003)
2002
16EEShoji Hirano, Xiaoguang Sun, Shusaku Tsumoto: On Similarity Measures for Cluster Analysis in Clinical Laboratory Examination Databases. COMPSAC 2002: 1170-1175
15EEShoji Hirano, Shusaku Tsumoto: Mining Similar Temporal Patterns in Long Time-Series Data and Its Application to Medicine. ICDM 2002: 219-226
14 Shusaku Tsumoto, Shoji Hirano, Akira Yasuda, Kouhei Tsumoto: Analysis of Amino Acid Sequences by Statistical Technique. JCIS 2002: 1169-1173
13EEShoji Hirano, Shusaku Tsumoto: Multiscale Comparison of Temporal Patternsin Time-Series Medical Databases. PKDD 2002: 188-199
12EEShoji Hirano, Shusaku Tsumoto: Segmentation of Medical Images Based on Approximations in Rough Set Theory. Rough Sets and Current Trends in Computing 2002: 554-563
11EEShusaku Tsumoto, Shoji Hirano, Akira Yasuda, Kouhei Tsumoto: Analysis of amino-acid sequences by statistical technique. Inf. Sci. 145(3-4): 205-214 (2002)
2001
10EEShoji Hirano, Shusaku Tsumoto: A Knowledge-Oriented Clustering Technique Based on Rough Sets. COMPSAC 2001: 632-637
9 Shoji Hirano, Xiaoguang Sun, Shusaku Tsumoto: Analysis of Time-series Medical Databases Using Multiscale Structure Matching and Rough Sets-based. FUZZ-IEEE 2001: 1547-1550
8EEShoji Hirano, Shusaku Tsumoto: Indiscernibility Degree of Objects for Evaluating Simplicity of Knowledge in the Clustering Procedure. ICDM 2001: 211-217
7EEShusaku Tsumoto, Shoji Hirano, Masahiro Inuiguchi: Workshop on Rough Set Theory and Granular Computing - Summary. JSAI Workshops 2001: 239
6EEShoji Hirano, Shusaku Tsumoto, Tomohiro Okuzaki, Yutaka Hata: A Clustering Method for Nominal and Numerical Data Based on Rough Set Theory. JSAI Workshops 2001: 400-405
5EEShoji Hirano, Tomohiro Okuzaki, Yutaka Hata, Shusaku Tsumoto, Kouhei Tsumoto: A Rough Set-Based Clustering Method with Modification of Equivalence Relations. PAKDD 2001: 507-512
4EEShoji Hirano, Yutaka Hata: Fuzzy expert system for foot CT image segmentation. Image Vision Comput. 19(4): 207-216 (2001)
2000
3 Yutaka Hata, Syoji Kobashi, Shoji Hirano, H. Kitagaki, E. Mori: Automated segmentation of human brain MR images aided by fuzzy information granulation and fuzzy inference. IEEE Transactions on Systems, Man, and Cybernetics, Part C 30(3): 381- (2000)
2EEShoji Hirano, Naotake Kamiura, Nobuyuki Matsui, Yutaka Hata: Hippocampus Extraction Based on Parallel Multiscale Structure Matching. IJPRAI 14(4): 427-439 (2000)
1997
1EEShoji Hirano, Naotake Kamiura, Yutaka Hata, Makoto Ishikawa: MAGNET: An Active Ditch Extraction Model. ICIP (2) 1997: 124-127

Coauthor Index

1Hidenao Abe [33]
2Salvatore Greco [50]
3Eisuke Hanada [24] [33]
4Yutaka Hata [1] [2] [3] [4] [5] [6] [50]
5Masahiro Inuiguchi [7] [50]
6Makoto Ishikawa [1]
7Naotake Kamiura [1] [2]
8H. Kitagaki [3]
9Syoji Kobashi [3]
10Nobuyuki Matsui [2]
11Sadaaki Miyamoto [50]
12E. Mori [3]
13Hideaki Nakakuni [33]
14Hung Son Nguyen [50]
15Tomohiro Okuzaki [5] [6]
16Roman Slowinski [50]
17Xiaoguang Sun [9] [16] [26]
18Kouhei Tsumoto [5] [11] [14]
19Shusaku Tsumoto [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] [46] [47] [48] [49] [51] [52] [53] [54] [55] [56] [57] [58] [59] [60] [61] [62] [63] [64] [65] [66] [67] [68] [69] [70] [71]
20Akira Yasuda [11] [14]

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)