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MURAI, Yasuo
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1

Cerebral Angiography (Cerebral Aneurysm):

, In: Fluorescence-Guided Surgery,
Murai, Yasuo ; Matano, Fumihiro ; Morita, Akio - p. 47-54 , 2023
Link: https://doi.org/10.1007/..
 
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2

Current and Future Microsurgical Skills Assessment:

, In: Learning and Career Development in Neurosurgery,
Morita, Akio ; Murai, Yasuo ; Mitsuishi, Mamoru - p. 349-356 , 2022
Link: https://doi.org/10.1007/..
 
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3

Rough-Set-Base Data Analysis: Theoretical Basis and Applica..:

, In: Advances in Applied Logics; Intelligent Systems Reference Library,
Kudo, Yasuo ; Murai, Tetsuya - p. 89-111 , 2023
Link: https://doi.org/10.1007/..
 
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4

Partial Discernibility Matrices for Enumerating Relative Re..:

, In: 2022 Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems (SCIS&ISIS),
Okawa, Hajime ; Kudo, Yasuo ; Murai, Tetsuya - p. 1-7 , 2022
Link: https://doi.org/10.1109/..
 
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5

Neighbor Selection for User-Based Collaborative Filtering U..:

, In: Intelligent Systems Reference Library; Topics in Rough Set Theory,
Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya - p. 141-159 , 2019
Link: https://doi.org/10.1007/..
 
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6

An Evaluation Method of Relative Reducts Based on Roughness..:

, In: Intelligent Systems Reference Library; Topics in Rough Set Theory,
Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya - p. 129-140 , 2019
Link: https://doi.org/10.1007/..
 
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7

Object Reduction in Rough Set Theory:

, In: Intelligent Systems Reference Library; Topics in Rough Set Theory,
Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya - p. 61-70 , 2019
Link: https://doi.org/10.1007/..
 
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8

A Parallel Computation Method for Heuristic Attribute Reduc..:

, In: Intelligent Systems Reference Library; Topics in Rough Set Theory,
Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya - p. 101-111 , 2019
Link: https://doi.org/10.1007/..
 
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9

Rough-Set-Based Interrelationship Mining for Incomplete Dec..:

, In: Intelligent Systems Reference Library; Topics in Rough Set Theory,
Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya - p. 81-99 , 2019
Link: https://doi.org/10.1007/..
 
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10

Heuristic Algorithm for Attribute Reduction Based on Classi..:

, In: Intelligent Systems Reference Library; Topics in Rough Set Theory,
Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya - p. 113-127 , 2019
Link: https://doi.org/10.1007/..
 
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11

Introduction:

, In: Intelligent Systems Reference Library; Topics in Rough Set Theory,
Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya - p. 1-5 , 2019
Link: https://doi.org/10.1007/..
 
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12

Recommendation Method by Direct Setting of Preference Patte..:

, In: Intelligent Systems Reference Library; Topics in Rough Set Theory,
Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya - p. 71-79 , 2019
Link: https://doi.org/10.1007/..
 
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13

Granular Computing and Aristotle's Categorical Syllogism:

, In: Intelligent Systems Reference Library; Topics in Rough Set Theory,
Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya - p. 161-172 , 2019
Link: https://doi.org/10.1007/..
 
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14

A Modal Characterization of Visibility and Focus in Granula..:

, In: Intelligent Systems Reference Library; Topics in Rough Set Theory,
Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya - p. 173-185 , 2019
Link: https://doi.org/10.1007/..
 
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15

Directions for Future Work in Rough Set Theory:

, In: Intelligent Systems Reference Library; Topics in Rough Set Theory,
Akama, Seiki ; Kudo, Yasuo ; Murai, Tetsuya - p. 187-198 , 2019
Link: https://doi.org/10.1007/..
 
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