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Sakai, Tomoya
847  Ergebnisse:
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1

Unsupervised deep learning of foreground objects from low-r..:

Takeda, Keita ; Sakai, Tomoya
Computer Vision and Image Understanding.  240 (2024)  - p. 103939 , 2024
Link: https://doi.org/10.1016/..
 
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2

Background removal for debiasing computer-aided cytological..:

Takeda, Keita ; Sakai, Tomoya ; Mitate, Eiji
International Journal of Computer Assisted Radiology and Surgery.  , 2024
Link: https://doi.org/10.1007/..
 
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3

Background Subtraction Approach to Unsupervised Cell Segmen..:

, In: 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI),
Takeda, Keita ; Mitate, Eiji ; Sakai, Tomoya - p. 1-5 , 2023
Link: https://doi.org/10.1109/..
 
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4

An effective salivation-facilitating method for COVID-19 te..:

Higashijima, Misako ; Shiozu, Hiroyasu ; Sakai, Tomoya.
Medicine.  102 (2023)  27 - p. e34370 , 2023
Link: https://doi.org/10.1097/..
 
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5

A Generalized Backward Compatibility Metric:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Sakai, Tomoya - p. 1525-1535 , 2022
Link: https://dl.acm.org/doi/1..
 
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6

Application of the sliding window method and Mask-RCNN meth..:

Mitate, Eiji ; Inoue, Kirin ; Sato, Retsushi...
Diagnostic Pathology.  17 (2022)  1 - p. , 2022
Link: https://doi.org/10.1186/..
 
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7

Unsupervised Deep Learning for Online Foreground Segmentati..:

, In: 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA),
Takeda, Keita ; Fujiwara, Kohei ; Sakai, Tomoya - p. 1-7 , 2022
Link: https://doi.org/10.1109/..
 
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8

Source Hypothesis Transfer for Zero-Shot Domain Adaptation:

, In: Machine Learning and Knowledge Discovery in Databases. Research Track; Lecture Notes in Computer Science,
Sakai, Tomoya - p. 570-586 , 2021
Link: https://doi.org/10.1007/..
 
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9

Causal Combinatorial Factorization Machines for Set-Wise Re..:

, In: Advances in Knowledge Discovery and Data Mining; Lecture Notes in Computer Science,
Tanimoto, Akira ; Sakai, Tomoya ; Takenouchi, Takashi. - p. 498-509 , 2021
Link: https://doi.org/10.1007/..
 
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10

Blood Vessel Enhancement in Liver Region from a Sequence of..:

, In: Communications in Computer and Information Science; Pattern Recognition,
Kawabe, Morio ; Kokura, Yuri ; Ohnishi, Takashi... - p. 141-149 , 2020
Link: https://doi.org/10.1007/..
 
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11

The acoustic characteristics of fine crackles predict honey..:

Fukumitsu, Toshikazu ; Obase, Yasushi ; Ishimatsu, Yuji...
BMC Pulmonary Medicine.  19 (2019)  1 - p. , 2019
Link: https://doi.org/10.1186/..
 
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12

Correction to: Semi-supervised AUC optimization based on po..:

Sakai, Tomoya ; Niu, Gang ; Sugiyama, Masashi
Machine Learning.  107 (2018)  4 - p. 795-795 , 2018
Link: https://doi.org/10.1007/..
 
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13

Convex formulation of multiple instance learning from posit..:

Bao, Han ; Sakai, Tomoya ; Sato, Issei.
Neural Networks.  105 (2018)  - p. 132-141 , 2018
Link: https://doi.org/10.1016/..
 
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14

Semi-supervised AUC optimization based on positive-unlabele..:

Sakai, Tomoya ; Niu, Gang ; Sugiyama, Masashi
Machine Learning.  107 (2017)  4 - p. 767-794 , 2017
Link: https://doi.org/10.1007/..
 
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15

Pattern recognition in multilinear space and its applicatio..:

Itoh, Hayato ; Imiya, Atsushi ; Sakai, Tomoya
Machine Vision and Applications.  27 (2016)  8 - p. 1259-1273 , 2016
Link: https://doi.org/10.1007/..
 
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