{"id":172,"date":"2023-03-27T14:16:03","date_gmt":"2023-03-27T05:16:03","guid":{"rendered":"https:\/\/wps.itc.kansai-u.ac.jp\/s-yos\/?page_id=172"},"modified":"2026-05-08T13:42:36","modified_gmt":"2026-05-08T04:42:36","slug":"publications","status":"publish","type":"page","link":"https:\/\/wps.itc.kansai-u.ac.jp\/s-yos\/publications\/","title":{"rendered":"\u7814\u7a76\u696d\u7e3e"},"content":{"rendered":"\n
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  1. S. Fuchigami, R. Yoshida, S. Yoshida, and M. Muneyasu, “Class Imbalanced Multiclass Classification of Harmful Posts in Social Networks Based on Heterogeneous Graphs,” IEICE Trans. Fundamentals, vol. E109-A, no. 6, pp. **-**, Jun. 2026\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  2. T. Abe, S. Yoshida, and M. Muneyasu, “Generalized Distillation with Multi-Task Graph Neural Networks for Early Fake News Detection,” IEICE Trans. Fundamentals, vol. E109-A, no. 6, pp. **-**, Jun. 2026\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  3. S. Nakano, K. Iwasaki, M. Muneyasu, S. Yoshida, M. Okuda, N. Dewake, N. Yoshinari, and K. Uchida: A New Detector of Calcification Regions in Dental Panoramic Radiographs, IEICE Trans. Fundamentals, vol. E109-A, no. 6, pp. **-**, Jun. 2026 \n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  4. K. Nishimoto, M. Muneyasu, and S. Yoshida, “Data Detection from Images on Curved Surfaces in Data Embedding to Printed Images Using Auxiliary Lines and Its Implementation,” IEICE Trans. Fundamentals, vol. E109-A, no. 6, pp. **-**, Jun. 2026\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  5. H. Okada, S. Yoshida, and M. Muneyasu, “Disentangling Shared and Specific Representations for Multimodal Cross-Domain Recommendation via Cosine-Based Regularization,” IEICE Trans. Information and Systems, vol. E109-D, no. 7, pp. **-**, Jul. 2026 \n \n <\/i>\n DOI<\/span>\n <\/a>\n\n <\/i>\n GitHub<\/span>\n <\/a>\n<\/li>\n\n\n\n
  6. R. Fukunaga, S. Yoshida, and M. Muneyasu, “ACD-U: Asymmetric Co-teaching with Machine Unlearning for Robust Learning with Noisy Labels,” Image and Vision Computing, vol. **, no. **, pp. **-**, May 2026<\/li>\n\n\n\n
  7. S. Yamamoto, S. Yoshida, and M. Muneyasu, “Feature Space-Preserving Machine Unlearning for Robust Image Classification with Noisy Labels,” IEEE Access, vol. 14, pp. 45449-45463, Mar. 2026\n \n <\/i>\n DOI<\/span>\n <\/a>\n \n <\/i>\n GitHub<\/span>\n <\/a>\n<\/li>\n\n\n\n
  8. S. Yoshida, “Community-aware Two-stage Diversification for Social Media User Recommendation with Graph Neural Networks,” Information, vol. 17, no. 1, Jan. 2026\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  9. T. Horihata, S. Yoshida, and M. Muneyasu, “Domain Adaptation across Geographic Regions through Region-Specific Feature Learning and Distribution Matching,” IEEE Access, vol. 13 pp. 138718-138732, Aug. 2025\n \n <\/i>\n DOI<\/span>\n <\/a>\n \n <\/i>\n GitHub<\/span>\n <\/a>\n<\/li>\n\n\n\n
  10. R. Yoshida, S. Yoshida, and M. Muneyasu, “MAHGA: Multi-Aspect Heterogeneous Graph Analysis for Harmful Speech Detection on Social Networks,” IEEE Access, vol. 13, pp. 106673-106689, Jun. 2025\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  11. T. Sugiyama, S. Yoshida, and M. Muneyasu, “Joint Modeling of Prediction and Behavioral Patterns for Reliable Recommendation With Implicit Feedback,” IEEE Access, vol. 13, pp. 49788-49800, Mar. 2025\n \n <\/i>\n DOI<\/span>\n <\/a>\n \n <\/i>\n GitHub<\/span>\n <\/a>\n<\/li>\n\n\n\n
  12. R. Yoshida, S. Yoshida, and M. Muneyasu, “Embedding Learning with Relational Heterogeneous Information in Social Network Posts to Detect Malicious Behavior,” IEICE Trans. Fundamentals, vol. E108-A, no. 3, pp. 295-303, Mar. 2025\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  13. S. Yoshida, N. Yatoh, and M. Muneyasu, “Aesthetic Evaluation of Chinese Calligraphy Using TabNet: Interpretability and Novel Features for Improved Accuracy,” IEICE Trans. Fundamentals, vol. E108-A, no. 3, pp. 357-361, Mar. 2025\n\n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  14. S. Takano, M. Muneyasu, S. Yoshida, A. Asano, N. Dewake, N. Yoshinari, and K. Uchida, “Application of Adversarial Training in the Detection of Calcification Regions from Dental Panoramic Radiographs,” IEICE Trans. Fundamentals, vol. E108-A, no. 3, pp. 352-356, Mar. 2025\n\n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  15. T. Abe, S. Yoshida, and M. Muneyasu, “Dynamic Graph Convolutional Network with Time-Series-Aware Structural Feature Extraction for Fake News Detection,” ITE Transactions on Media Technology and Applications, vol. 13, no. 1, pp. 106-118, Jan. 2025\n\n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  16. R. Fukunaga, S. Yoshida, R. Higashimoto, and M. Muneyasu, “Enhancing Robustness to Noisy Labels by Explicit Disentanglement of Similar Classes in Feature Space using Contrastive Learning,” ITE Transactions on Media Technology and Applications, vol. 13, no. 1, pp. 91-105, Jan. 2025\n\n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  17. T. Sugiyama, S. Yoshida, and M. Muneyasu, “DRGNN: Disentangled Representation Graph Neural Network for Diverse Category-level Recommendations,” Pattern Recognition Letters, vol. 186, pp. 78-84, Oct. 2024\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  18. R. Higashimoto, S. Yoshida, and M. Muneyasu, “ConfidentMix: Confidence-guided Mixup for Learning With Noisy Labels,” IEEE Access, vol. 12, pp. 58519-58531, Apr. 2024\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  19. K. Soga, S. Yoshida, and M. Muneyasu, “Graph-Based Interpretability for Fake News Detection through Topic- and Propagation-Aware Visualization,” Computation, vol. 12, no. 4, Apr. 2024\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  20. R. Higashimoto, S. Yoshida, and M. Muneyasu, “CRAS: Curriculum Regularization and Adaptive Semi-Supervised Learning with Noisy Labels,” Applied Sciences, vol. 14, no. 3, Jan. 2024\n \n <\/i>\n DOI<\/span>\n <\/a>\n \n <\/i>\n GitHub<\/span>\n <\/a>\n<\/li>\n\n\n\n
  21. R. Higashimoto, S. Yoshida, T. Horihata, and M. Muneyasu, “Unbiased Pseudo-Labeling for Learning with Noisy Labels,” IEICE Trans. Information and Systems, vol. E107-D, no. 1, pp. 44-48, Jan. 2024\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  22. K. Soga, S. Yoshida, and M. Muneyasu, “Exploiting Stance Similarity and Graph Neural Networks for Fake News Detection,” Pattern Recognition Letters, vol. 177, pp. 26-32, Jan. 2024\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  23. H. Shimoyama, S. Yoshida, T. Fujita, and M. Muneyasu, “U-Net Architecture for Ancient Handwritten Chinese Character Detection in Han Dynasty Wooden Slips,” IEICE Trans. Fundamentals, vol. E106-A, no. 11, pp.1406-1415, Nov. 2023\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  24. M. Yasuda, S. Yoshida, and M. Muneyasu, “New Performance Evaluation Method for Data Embedding Techniques for Printed Images Using Mobile Devices Based on a GAN,” IEICE Trans. Fundamentals, vol. E106-A, no.3, pp. 481-485, Mar. 2023\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  25. H. Takeda, S. Yoshida and M. Muneyasu, “Training Robust Deep Neural Networks on Noisy Labels Using Adaptive Sample Selection with Disagreement,” IEEE Access, vol. 9, pp. 141131-141143, Oct. 2021\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  26. S. Yoshida, M. Muneyasu, T. Ogawa, and M. Haseyama, “Heterogenerous-Graph-Based Video Search Reranking Using Topic Relevance,” IEICE Trans. Fundamentals, vol. E103-A, no.12, pp. 1529-1540, Dec. 2020\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  27. T. Fujii, S. Yoshida and M. Muneyasu, “Video Search Reranking with Relevance Feedback Using Visual and Textual Similarities,” IEICE Trans. Fundamentals, vol. E102-A, no.12, pp. 1900-1909, Dec. 2019\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  28. S. Oohara, M. Muneyasu, S. Yoshida and M. Nakashizuka, “Image Regularization with Total Variation and Optimized Morphologocal Gradient Priors,” IEICE Trans. Fundamentals, vol. E102-A, no.12, pp. 1920-1924, Dec. 2019\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  29. S. Yoshida, T. Ogawa, M. Haseyama and M. Muneyasu, “Graph-Based Video Search Reranking with Local and Global Consistency Analysis,” IEICE Trans. Inf. & Syst., vol. E101-D, no.5, pp. 1430-1440, May 2018\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  30. M. Muneyasu, N. Jinda, Y. Moritani and S. Yoshida, “Data Extraction Method from Printed Images with Different Formats,” IEICE Trans. Fundamentals, vol. E100-A, no.11, pp. 2355-2357, Nov. 2017\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  31. \u5409\u7530 \u58ee\uff0c\u5c0f\u5ddd \u8cb4\u5f18\uff0c\u9577\u8c37\u5c71\u7f8e\u7d00, “\u6b4c\u8b21\u756a\u7d44\u306b\u304a\u3051\u308b\u6620\u50cf\u306e\u69cb\u9020\u306b\u6ce8\u76ee\u3057\u305f\u30b7\u30fc\u30f3\u5206\u5272\u624b\u6cd5,” \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u8ad6\u6587\u8a8c(D), vol.J97-D, no.7, pp. 1177-1188, 2014\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
  32. S. Yoshida, H. Okada, T. Ogawa, and M. Haseyama, “A Method for Improving SVM-based Image Classification Performance Based on a Target Object Detection Scheme,” ITE Transactions on Media Technology and Applications, vol.1, no. 3, pp.237-243, 2013 \n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n<\/ol>\n\n\n\n
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    1. R. Fukunaga, S. Yoshida, and M. Muneyasu, “ACD-U: Asymmetric Co-teaching with Machine Unlearning for Robust Learning with Noisy Labels,” arXiv preprint, arXiv:2603.07166, Mar. 2026\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n<\/ol>\n\n\n\n
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      1. \u5409\u7530\u3000\u58ee, “\u30ce\u30a4\u30b8\u30fc\u30e9\u30d9\u30eb\u3092\u7528\u3044\u305f\u753b\u50cf\u5206\u985e,” IEICE Fundamentals Review, vol. 18, no. 2, pp. 147-157, Oct. 2024\n \n <\/i>\n DOI<\/span>\n <\/a>\n<\/li>\n\n\n\n
      2. \u5409\u7530\u3000\u58ee, “\u52d5\u753b\u50cf\u691c\u7d22\u306e\u305f\u3081\u306e\u9069\u5408\u6027\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u3092\u7528\u3044\u305f\u30ea\u30e9\u30f3\u30ad\u30f3\u30b0,” \u96fb\u6c17\u5b66\u4f1a\u30fb\u30c7\u30a3\u30b8\u30bf\u30eb\u4fe1\u53f7\u51e6\u7406\u30b7\u30b9\u30c6\u30e0\u6700\u9069\u5316\u6280\u8853\u8abf\u67fb\u5c02\u9580\u59d4\u54e1\u4f1a \u7de8\uff1a\u30c7\u30a3\u30b8\u30bf\u30eb\u4fe1\u53f7\u51e6\u7406\u306b\u304a\u3051\u308b\u30b7\u30b9\u30c6\u30e0\u6700\u9069\u5316\u6280–\u57fa\u790e\u6280\u8853\u304b\u3089\u97f3\u58f0\u30fb\u97f3\u97ff\u4fe1\u53f7\u51e6\u7406\uff0c\u7523\u696d\u5fdc\u7528\u3068\u60c5\u5831\u30b7\u30b9\u30c6\u30e0\u307e\u3067-\u7b2c12\u7ae0\uff0c\u30aa\u30fc\u30e0\u793e\uff0cpp.237-257, 2021<\/li>\n<\/ol>\n\n\n\n
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        1. S. Itoh, M. Muneyasu, and S. Yoshida, \u201cDigital Image Watermarking with Confidentiality using Adversarial Examples,\u201d Proc. 2025 International Workshop on Smart Info-Media Systems in Asia, Phuket, Thailand, Nov. 12\u201314, RS1-01, pp.12-17, 2025<\/li>\n\n\n\n
        2. P. Santithawornying, S. Yoshida, and M. Muneyasu, \u201cGated Co-Guidance for Multimodal Graph Neural Networks in Recommendation Systems,\u201d Proc. 2025 International Workshop on Smart Info-Media Systems in Asia, Phuket, Thailand, Nov. 12\u201314, RS1-06, 2025 (SISA Best Student Paper Award)<\/mark><\/li>\n\n\n\n
        3. S. Nakano, N. Tochihara, M. Muneyasu, S. Yoshida, M. Okuda, N. Dewake, N. Yoshinari, and K. Uchida, \u201cA Data Augmentation Method using Pix2Pix for Calcification Region Detection from Dental Panoramic Radiographs,\u201d Proc. 2025 International Workshop on Smart Info-Media Systems in Asia, Phuket, Thailand, Nov. 12\u201314, RS2-04, pp.85-90, 2025<\/li>\n\n\n\n
        4. K. Nishimoto, M. Muneyasu, and S. Yoshida, \u201cNew Correction Method using Perspective Projection Transform for Images on Curved Surfaces in Information Detection from Printed Images,\u201d Proc. 2025 International Workshop on Smart Info-Media Systems in Asia, Phuket, Thailand, Nov. 12\u201314, RS2-05, pp.91-96, 2025<\/li>\n\n\n\n
        5. H. Okada, S. Yoshida, and M. Muneyasu, \u201cMultimodal Cross-Domain Recommendation with Cosine Similarity-Based Representation Disentanglement,\u201d Proc. 2025 IEEE 14th Global Conference on Consumer Electronics, Osaka, Japan, Sep. 23\u201326, pp.1089-1091, 2025<\/li>\n\n\n\n
        6. T. Abe, S. Yoshida, and M. Muneyasu, \u201cLearning to Detect Fake News Early: A Multi-Task Approach with Generalized Distillation and Dynamic Graph,\u201d Proc. 2025 IEEE 14th Global Conference on Consumer Electronics, Osaka, Japan, Sep. 23\u201326, pp.1092-1094, 2025<\/li>\n\n\n\n
        7. D. Fujii, S. Yoshida, and M. Muneyasu, \u201cSelf-Supervised Contrastive Learning for Noise-Robust Recommender Systems,\u201d Proc. 2025 IEEE 14th Global Conference on Consumer Electronics, Osaka, Japan, Sep. 23\u201326, pp.1393-1395, 2025<\/li>\n\n\n\n
        8. S. Yamamoto, S. Yoshida, and M. Muneyasu, \u201cRobust Image Classification via Centroid-Aware Machine Unlearning of Noisy Annotations,\u201d Proc. 2025 IEEE 14th Global Conference on Consumer Electronics, Osaka, Japan, Sep. 23\u201326, pp.1396-1398, 2025<\/li>\n\n\n\n
        9. K. Nishimoto, M. Muneyasu, and S. Yoshida, \u201cData Detection from Images on Curved Surfaces in Data Embedding to Printed Images using Auxiliary Lines,\u201d Proc. 2024 International Symposium on Intelligent Signal Processing and Communication Systems, pp.1-5, 2024<\/li>\n\n\n\n
        10. K. Iwasaki, T. Murano, M. Muneyasu, S. Yoshida, A. Asano, N. Dewake, N. Yoshinari, and K. Uchida, \u201cImproved Multi-task Learning for Detection of Calcification Regions in Dental Panoramic Radiographs,\u201d Proc. 2024 International Symposium on Intelligent Signal Processing and Communication Systems, pp.1-5, 2024<\/li>\n\n\n\n
        11. N. Ikeda, S. Takano, M. Muneyasu, S. Yoshida, A. Asano, N. Dewake, N. Yoshinari, and K. Uchida, \u201cImprovement of Detection Accuracy for Calcification Regions in Dental Panoramic Radiographs Using LVAT,\u201d Proc. 2024 International Symposium on Intelligent Signal Processing and Communication Systems, pp.1-5, 2024<\/li>\n\n\n\n
        12. K. Nishimoto, M. Muneyasu, and S. Yoshida, \u201cRectification Using Auxiliary Lines from QR Codes Attached to Curved Surfaces,\u201d Proc. 2024 International Workshop on Smart Info-Media Systems in Asia, RS1-2, pp.7-11, 2024<\/li>\n\n\n\n
        13. M. Yasuda, M. Muneyasu, and S. Yoshida, \u201cOn Development Environment for Data Embedding Technology into Printed Images Using Mobile Devices,\u201d Proc. 2024 International Workshop on Smart Info-Media Systems in Asia, RS1-4, pp.17-22, 2024<\/li>\n\n\n\n
        14. S. Nakano, M. Muneyasu, S. Yoshida, A. Asano, N. Dewake, N. Yoshinari, and K. Uchida, \u201cSimplified Discriminator for Detecting Calcification Regions on Dental Panoramic Radiographs,\u201d Proc. 2024 International Workshop on Smart Info-Media Systems in Asia, RS1-8, pp.38-42, 2024<\/li>\n\n\n\n
        15. H. Fujiwara, S. Yoshida, and M. Muneyasu, \u201cDiversified User Recommendation to Avoid Filter Bubbles in Social Media Communities,\u201d Proc. 2024 IEEE 13th Global Conference on Consumer Electronics, pp.16-18, 2024<\/li>\n\n\n\n
        16. T. Abe, S. Yoshida, and M. Muneyasu, \u201cImproving Fake News Detection through Time-Series-Aware Structural Feature Extraction in Dynamic Graph Convolutional Networks,\u201d Proc. 2024 IEEE 13th Global Conference on Consumer Electronics, pp.12-15, 2024<\/li>\n\n\n\n
        17. T. Sugiyama, S. Yoshida, and M. Muneyasu, \u201cDiversified Recommendation Using Graph Neural Networks Invariant to User-level Category Preference,\u201d Proc. 2023 IEEE 12th Global Conference on Consumer Electronics, Nara, Japan, Oct.10\u201313, pp.1083-1085, 2023<\/li>\n\n\n\n
        18. K. Soga, S. Yoshida, and M. Muneyasu, \u201cConfirmation Bias-Aware Fake News Detection with Graph Transformer Networks,\u201d Proc. 2023 IEEE 11th Global Conference on Consumer Electronics, Nara, Japan, Oct.10\u201313, pp.1081-1082, 2023<\/li>\n\n\n\n
        19. R. Higashimoto, S. Yoshida, and M. Muneyasu, \u201cThe Mixing Data Augmentation for Learning with Noisy Labels,\u201d Proc. 2023 International Workshop on Smart Info-Media Systems in Asia, online, Aug.31\u2013Sep.1, pp.140-143, 2023<\/li>\n\n\n\n
        20. K. Iwasaki, T. Murano, M. Muneyasu, S. Yoshida, A. Asano, N. Dewake, N. Yoshinari, and K. Uchida, \u201cNew Detection Method for Calcification Regions in Dental Panoramic Radiographs Using MTL,\u201d Proc. 2023 International Workshop on Smart Info-Media Systems in Asia, online, Aug.31\u2013Sep.1, pp.13-18, 2023<\/li>\n\n\n\n
        21. S. Takano, M. Muneyasu, S. Yoshida, A. Asano, N. Dewake, N. Yoshinari, and K. Uchida, \u201cApplication of Adversarial Training in Detection of Calcification Regions from Dental Panoramic Radiographs,\u201d Proc. 2023 International Workshop on Smart Info-Media Systems in Asia, online, Aug.31\u2013Sep.1, pp.7-12, 2023<\/li>\n\n\n\n
        22. K. Nakamura, M. Muneyasu, S. Yoshida, M. Stencel, and K. Kuppe, \u201cCorrection Method Using Markers for Detecting Information from Printed Images,\u201d Proc. 2023 International Workshop on Smart Info-Media Systems in Asia, online, Aug.31\u2013Sep.1, pp.1-6, 2023<\/li>\n\n\n\n
        23. S. Takano, M. Muneyasu, and S. Yoshida, \u201cA New Image Watermarking Method Using Adversarial Perturbations,\u201d Proc. 2022 International Workshop on Smart Info-Media Systems in Asia, online, Sept. 15\u201316, SISA-AVM-01, 2022<\/li>\n\n\n\n
        24. H. Matsumoto, S. Yoshida, and M. Muneyasu, \u201cFlexible Framework to Provide Explainability for Fake News Detection Methods on Social Media,\u201d Proc. 2022 IEEE 11th Global Conference on Consumer Electronics, Osaka, Japan, Oct. 18\u201321, pp.421-422, 2022<\/li>\n\n\n\n
        25. K. Soga, S. Yoshida, and M. Muneyasu, \u201cPropagation-Based Fake News Detection Using a Combination of Different Content Features,\u201d Proc. 2022 IEEE 11th Global Conference on Consumer Electronics, Osaka, Japan, Oct. 18\u201321, pp.411-412, 2022 (IEEE GCCE 2022 Excellent Student Poster Award Silver Prize)<\/mark><\/li>\n\n\n\n
        26. R. Higashimoto, S. Yoshida, and M. Muneyasu, \u201cA Robust Learning Framework Using Self-supervised Learning for Learning with Noisy Labels,\u201d Proc. 2022 IEEE 11th Global Conference on Consumer Electronics, Osaka, Japan, Oct. 18\u201321, pp.409-410, 2022<\/li>\n\n\n\n
        27. F. Kotegawa, M. Muneyasu, and S. Yoshida, \u201cMethod of Extracting Data from Images on a Curved Surface in Data Embedding to Printed Images Using Mobile Devices,\u201d Proc. 2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), Hualien, Taiwan, Nov. 16\u201319, O2-4, 2021<\/li>\n\n\n\n
        28. T. Murano, M. Muneyasu, S. Yoshida, K. Chamnongthai, A. Asano, and K. Uchida, \u201cNew Method of Detecting Calcification Regions in Dental Panoramic Radiographs Based on U-PraNet,\u201d Proc. 2021 20th International Symposium on Communication and Information Technologies (ISCIT), Tottori, Japan, Oct. 20\u201322, W1-3, pp.11-14, 2019<\/li>\n\n\n\n
        29. H. Matsumoto, S. Yoshida, and M. Muneyasu, \u201cPropagation-Based Fake News Detection Using Graph Neural Networks with Transformer,\u201d Proc. 2021 IEEE 10th Global Conference on Consumer Electronics, Kyoto, Japan, Oct. 12\u201315, pp.19-20, 2021<\/li>\n\n\n\n
        30. M. Yasuda, M. Muneyasu, and S. Yoshida, \u201cMethod of Generating Pseudo-Captured Images to Evaluate the Performance of Data Embedding Techniques for Printed Images Using Mobile Devices,\u201d Proc. 2021 International Workshop on Smart Info-Media Systems in Asia, online, Sept. 20\u201322, pp.28-33, 2021<\/li>\n\n\n\n
        31. T. Murano, M. Muneyasu, S. Yoshida, K. Chamnongthai, A. Asano, K. Uchida, N. Dewake, Y. Ishioka, and Y. Yoshinari, \u201cDetection of Calcification Regions from Dental Panoramic Radiographs Based on Semantic Segmentation Using Deep Learning,\u201d Proc. 2021 International Workshop on Smart Info-Media Systems in Asia, online, Sept. 20\u201322, pp.122-127, 2021<\/li>\n\n\n\n
        32. S. Yoshida, T. Fujita, and M. Muneyasu, \u201cA Character-region-aware Deep Network for Chinese Character Detention from Wood Slips of the Han Period,\u201d Proc. 2020 International Workshop on Smart Info-Media Systems in Asia, Online, Dec. 18\u201319, pp.18-23, 2020<\/li>\n\n\n\n
        33. M. Amami, M. Muneyasu, and S. Yoshida, \u201cData Extraction from Printed Data-Embedded Image Using Projectors,\u201d Proc. 2020 International Workshop on Smart Info-Media Systems in Asia, Online, Dec. 18\u201319, pp.12-17, 2020<\/li>\n\n\n\n
        34. M. Shiiba, M. Muneyasu, and S. Yoshida, \u201cNew Data Embedding and Detecting Method for Printed Image,\u201d Proc. 2019 IEEE 8th Global Conference on Consumer Electronics, Osaka, Japan, Oct. 15\u201318, pp.223-224, 2019<\/li>\n\n\n\n
        35. H. Takeda, S. Yoshida, and M. Muneyasu, \u201cLearning from Noisy Labeled Data Using Symmetric Cross-Entropy Loss for Image Classification,\u201d Proc. 2020 IEEE 9th Global Conference on Consumer Electronics, Kobe, Japan, Oct. 13\u201316, pp.770-772, 2020<\/li>\n\n\n\n
        36. S. Oohara, H. Oka, M. Muneyasu, S. Yoshida, and M. Nakashizuka, \u201cImage Regularization with Morphological Gradient Priors Using Optimal Structuring Element for Each Pixel,\u201d Proc. 2019 International Symposium on Intelligent Signal Processing and Communication Systems, Taipei, Taiwan, Dec. 3\u20136, O22-1, 2019<\/li>\n\n\n\n
        37. T. Nishikawa, M. Muneyasu, Y. Nishida, S. Yoshida, and K. Chamnongthai, \u201cData Retrieval from Printed Image Using Image Features and Data Embedding,\u201d Proc. 2019 International Symposium on Intelligent Signal Processing and Communication Systems, Taipei, Taiwan, Dec. 3\u20136, O28-6, 2019<\/li>\n\n\n\n
        38. M. Shiiba, M. Muneyasu, and S. Yoshida, \u201cNew Data Embedding and Detecting Method for Printed Image,\u201d Proc. 2019 IEEE 8th Global Conference on Consumer Electronics, Osaka, Japan, Oct. 15\u201318, pp.223-224, 2019<\/li>\n\n\n\n
        39. H. Takeda, S. Yoshida, and M. Muneyasu, \u201cTag-based Video Retrieval with Social Tag Relevance Learning,\u201d Proc. 2019 IEEE 8th Global Conference on Consumer Electronics, Osaka, Japan, Oct. 15\u201318, pp.893-894, 2019<\/li>\n\n\n\n
        40. S. Yoshida and M. Muneyasu, \u201cA Graph-based Video Visual Reranking Method via Heterogenous Graph Analysis,\u201d Proc. 2019 International Workshop on Smart Info-Media Systems in Asia, Tokyo, Japan, Sept. 4\u20136, pp.161-166, 2019<\/li>\n\n\n\n
        41. M. Shiiba, T. Nishikawa, M. Muneyasu, and S. Yoshida, \u201cImprovement of Data Embedding Method for Printed Image with High Detection Rate,\u201d Proc. 2019 International Workshop on Smart Info-Media Systems in Asia, Tokyo, Japan, Sept. 4\u20136, pp.167-171, 2019<\/li>\n\n\n\n
        42. M. Muneyasu, \u201cRecent Advances of Information Retrieval by Data Embedding Technique to Printed Images Using Mobile Devices,\u201d Proc. 2019 International Workshop on Smart Info-Media Systems in Asia, Tokyo, Japan, Sept. 4\u20136, 2019 (Keynote Speech)<\/li>\n\n\n\n
        43. M. Amami, M. Muneyasu, and S. Yoshida, \u201cData Extraction for Data-embedded Printed Image Arranged at Arbitrary Positions,\u201d Proc. 2018 International Workshop on Smart Info-Media Systems in Asia, Kanagawa, Japan, Dec. 13\u201314, pp.92-97, 2018<\/li>\n\n\n\n
        44. S. Yoshida and M. Muneyasu, \u201cVideo Search Reranking on Multi-Layer Graphs Based on Combination of Video Features Using Subspace Analysis,\u201d Proc. 2018 International Workshop on Smart Info-Media Systems in Asia, Kanagawa, Japan, Dec. 13\u201314, pp.53-58, 2018<\/li>\n\n\n\n
        45. S. Oohara, M. Muneyasu, S. Yoshida, and M. Nakashizuka, \u201cImage Regularization Using Total Variation and Morphological Gradient Priors with Optimization of Structuring Element,\u201d Proc. 2018 International Symposium on Intelligent Signal Processing and Communication Systems, Ishigaki, Japan, Nov. 27\u201330, pp.498-503, 2018<\/li>\n\n\n\n
        46. T. Fujii, S. Yoshida, and M. Muneyasu, \u201cVideo Retrieval by Reranking and Relevance Feedback with Tag-Based Similarity,\u201d Proc. 2018 IEEE 7th Global Conference on Consumer Electronics, Nara, Japan, Sept. 6\u20138, pp.659-660, 2018 (IEEE GCCE 2018 Excellent Poster Award 3rd Prize)<\/mark><\/li>\n\n\n\n
        47. H. Oka, S. Oohara, M. Muneyasu, S. Yoshida, and M. Nakashizuka, \u201cImage Regularization with Morphological Gradients Priors Using Optimization of Multiple Structuring Element,\u201d Proc. 2018 International Symposium on Multimedia and Communication Technology, Tottori, Japan, Aug. 29\u201331, pp.32-35, 2018<\/li>\n\n\n\n
        48. T. Nishigaito, M. Muneyasu, K. Matsushima, S. Yoshida, and A. Taguchi, \u201cA New Method of Lossless Cording for Binary Holographic Interference Fringes,\u201d Proc. 2017 International Workshop on Smart Info-Media Systems in Asia, Dazaifu, Fukuoka, Sept. 6\u20138, pp.1-4, 2017<\/li>\n\n\n\n
        49. S. Oohara, Y. Ikeshita, M. Muneyasu, S. Yoshida, and M. Nakashizuka, \u201cImage Regularization with Morphological Gradient Priors Using Optimization of Structuring Element,\u201d Proc. 2017 International Workshop on Smart Info-Media Systems in Asia, Dazaifu, Fukuoka, Sept. 6\u20138, pp.61-65, 2017<\/li>\n\n\n\n
        50. T. Fujii, S. Yoshida, and M. Muneyasu, \u201cFeedback Assisted Multi-modality Reranking for Web Video Search,\u201d Proc. 2017 International Workshop on Smart Info-Media Systems in Asia, Dazaifu, Fukuoka, Sept. 6\u20138, pp.74-78, 2017<\/li>\n\n\n\n
        51. T. Nasu, K. Kawachi, M. Muneyasu, K. Chamnongthai, A. Asano, K. Uchida, Y. Ishioka, N. Yoshinari, and A. Taguchi, \u201cDetection of Calcification Region in Dental Panoramic Radiographs Using Snakes,\u201d Proc. 2017 International Workshop on Smart Info-Media Systems in Asia, Dazaifu, Fukuoka, Sept. 6\u20138, pp.110-113, 2017<\/li>\n\n\n\n
        52. M. Liji, M. Muneyasu, K. Matsushima, S. Yoshida, and A. Taguchi, \u201cLossy Coding of Wave-field Data Using Singular Value Decomposition,\u201d Proc. 2017 International Workshop on Smart Info-Media Systems in Asia, Dazaifu, Fukuoka, Sept. 6\u20138, pp.211-215, 2017<\/li>\n\n\n\n
        53. Y. Ikeshita, M. Muneyasu, M. Nakashizuka, and S. Yoshida, \u201cImage Regularization with Morphological Gradients Priors Considering Optimization of SE,\u201d Proc. 2017 Taiwan and Japan Conference on Circuits and Systems, Okayama, Japan, Aug. 21\u201323, pp.4, 2017<\/li>\n\n\n\n
        54. S. Abe, M. Muneyasu, and S. Yoshida, \u201cA Design Technique of Impulse Detector Using Neural Network,\u201d Proc. 2017 Taiwan and Japan Conference on Circuits and Systems, Okayama, Japan, Aug. 21\u201323, pp.19, 2017<\/li>\n\n\n\n
        55. S. Yoshida, T. Ogawa, M. Haseyama, and M. Muneyasu, \u201cHeterogeneous Graph-Based Topic Learning for Web Video Search Reranking,\u201d Proc. 2016 International Workshop on Smart Info-Media Systems in Asia, Ayutthaya, Thailand, Sept. 14\u201317, pp.81-85, 2016<\/li>\n\n\n\n
        56. T. Shintani, M. Muneyasu, and S. Yoshida, \u201cImproved Object Detection Method Using PTZ Camera and Kinect,\u201d Proc. 2016 International Workshop on Smart Info-Media Systems in Asia, Ayutthaya, Thailand, Sept. 14\u201317, pp.75-80, 2016<\/li>\n\n\n\n
        57. N. Jinda, M. Shiiba, and M. Muneyasu, \u201cImplementation of Data Extraction for Data Embedding to Printed Images in Tablet PC and Its Evaluation,\u201d Proc. 2016 International Workshop on Smart Info-Media Systems in Asia, Ayutthaya, Thailand, Sept. 14\u201317, pp.69-74, 2016<\/li>\n\n\n\n
        58. K. Fujii and M. Muneyasu, \u201cA Method Stably Working Feedback Type Active Noise Control System for Preventive Panel of Sound Leakage,\u201d Proc. the 45th International Congress and Exposition on Noise Control Engineering, Hamburg, Germany, Aug. 21\u201324, pp.426-437, 2016<\/li>\n\n\n\n
        59. S. Yoshida, T. Ogawa, and M. Haseyama, \u201cGraph-based web video search reranking through consistency analysis using spectral clustering,\u201d Proc. 2016 IEEE International Conference on Multimedia and Expo, Seattle, USA, July 11\u201315, pp.1-6, 2016 (Oral presentation)<\/li>\n\n\n\n
        60. S. Yoshida, T. Ogawa, and M. Haseyama, \u201cHeterogeneous Graph-based Video Search Reranking using Web Knowledge via Social Media Network,\u201d Proc. ACM International Conference on Multimedia (ACM MM), Brisbane, Australia, October, pp.871-874, 2015 (Acceptance rate: 22%, Core Conference Ranking A*)<\/li>\n<\/ol>\n\n\n\n
          <\/div>\n\n\n\n

          \u56fd\u5185\u4f1a\u8b70<\/h2>\n\n\n\n
            \n
          1. \u574a\u5c71 \u614e\u4e4b\u4ecb, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201cBluesky\u4e0a\u306e\u52d5\u7684\u793e\u4f1a\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u304a\u3051\u308b\u5f71\u97ff\u62e1\u6563\u8005\u306e\u69cb\u9020\u7684\u7279\u5fb4\u5b66\u7fd2\u3068\u4e88\u6e2c,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.125, no.191, SIS2025-27, pp.17-22, 2025<\/li>\n\n\n\n
          2. \u897f\u672c \u572d\u543e, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u5370\u5237\u753b\u50cf\u304b\u3089\u306e\u60c5\u5831\u691c\u51fa\u306b\u304a\u3051\u308b\u66f2\u9762\u4e0a\u306b\u8cbc\u4ed8\u3055\u308c\u305f\u753b\u50cf\u306b\u5bfe\u3059\u308b\u900f\u8996\u6295\u5f71\u5909\u63db\u3092\u7528\u3044\u305f\u88dc\u6b63\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.125, no.191, SIS2025-36, pp.65-70, 2025<\/li>\n\n\n\n
          3. \u4e2d\u91ce \u58ee\u592a, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u5965\u7530 \u6b63\u6d69, \u51fa\u5206 \u83dc\u3005\u8863, \u5409\u6210 \u4f38\u592b, \u5185\u7530 \u5553\u4e00, \u201c\u6b6f\u79d1\u30d1\u30ce\u30e9\u30deX\u7dda\u5199\u771f\u5185\u306e\u77f3\u7070\u5316\u9818\u57df\u691c\u51fa\u306b\u7528\u3044\u308b\u6df1\u5c64\u5b66\u7fd2\u306b\u57fa\u3065\u304f\u691c\u51fa\u5668\u306e\u8a08\u7b97\u91cf\u4f4e\u6e1b,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.125, no.191, SIS2025-37, pp.71-76, 2025<\/li>\n\n\n\n
          4. \u677e\u4e95 \u667a\u4e5f, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201cTabNet\u3092\u7528\u3044\u305f\u624b\u66f8\u304d\u4e2d\u56fd\u6587\u5b57\u306e\u7f8e\u7684\u5370\u8c61\u8a55\u4fa1,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.125, no.68, SIS2025-5, pp.24-29, 2025<\/li>\n\n\n\n
          5. \u5c71\u672c \u7fd4\u5e73, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u30ce\u30a4\u30b8\u30fc\u30b5\u30f3\u30d7\u30eb\u306e\u5fd8\u5374\u306b\u57fa\u3065\u3044\u305f\u753b\u50cf\u5206\u985e\u7cbe\u5ea6\u306e\u5411\u4e0a \uff5e\u7279\u5fb4\u7a7a\u9593\u306b\u304a\u3051\u308b\u30af\u30e9\u30b9\u69cb\u9020\u7dad\u6301\u3092\u8003\u616e\u3057\u305f\u5fd8\u5374\u624b\u6cd5\uff5e,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.125, no.68, SIS2025-6, pp.30-35, 2025<\/li>\n\n\n\n
          6. \u963f\u90e8 \u77e5\u5e0c, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u4e00\u822c\u5316\u84b8\u7559\u3068\u30de\u30eb\u30c1\u30bf\u30b9\u30af\u5b66\u7fd2\u3092\u7528\u3044\u305fSNS\u4e0a\u306e\u30d5\u30a7\u30a4\u30af\u30cb\u30e5\u30fc\u30b9\u65e9\u671f\u691c\u51fa,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.125, no.68, SIS2025-7, pp.36-41, 2025<\/li>\n\n\n\n
          7. \u4e2d\u91ce \u58ee\u592a, \u6803\u539f \u6210\u57fa, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u5965\u7530 \u6b63\u6d69, \u51fa\u5206 \u83dc\u3005\u8863, \u5409\u6210 \u4f38\u592b, \u5185\u7530 \u5553\u4e00, \u201c\u6b6f\u79d1\u30d1\u30ce\u30e9\u30deX\u7dda\u5199\u771f\u304b\u3089\u306e\u77f3\u7070\u5316\u691c\u51fa\u306b\u304a\u3051\u308bPix2Pix\u3092\u7528\u3044\u305f\u30c7\u30fc\u30bf\u62e1\u5f35\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.125, no.68, SIS2025-8, pp.42-47, 2025<\/li>\n\n\n\n
          8. \u4f0a\u85e4 \u4fee\u53f8, \u5e73\u5c3e \u840c\u4eba\u6a39, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u79d8\u533f\u6027\u3092\u8003\u616e\u3057\u305f\u6575\u5bfe\u7684\u30b5\u30f3\u30d7\u30eb\u3092\u7528\u3044\u305f\u96fb\u5b50\u900f\u304b\u3057,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.125, no.68, SIS2025-9, pp.48-53, 2025<\/li>\n\n\n\n
          9. \u5800\u7551 \u5929, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u5730\u7406\u7684\u30c9\u30e1\u30a4\u30f3\u9069\u5fdc\u306b\u304a\u3051\u308b\u5730\u57df\u56fa\u6709\u7279\u5fb4\u306e\u5b66\u7fd2\u3068\u5730\u57df\u9593\u306e\u5206\u5e03\u30de\u30c3\u30c1\u30f3\u30b0,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.124, no.288, SIS2024-34, pp.19-24, 2024<\/li>\n\n\n\n
          10. \u85e4\u539f \u6ec9\u898f, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u30bd\u30fc\u30b7\u30e3\u30eb\u30e1\u30c7\u30a3\u30a2\u306b\u304a\u3051\u308b\u30b3\u30df\u30e5\u30cb\u30c6\u30a3\u60c5\u5831\u3092\u7528\u3044\u305f2\u6bb5\u968e\u591a\u69d8\u5316\u63a8\u85a6\u30b7\u30b9\u30c6\u30e0,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.124, no.288, SIS2024-33, pp.13-18, 2024<\/li>\n\n\n\n
          11. \u6749\u5c71 \u62d3\u90fd, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u8a13\u7df4\u30b5\u30f3\u30d7\u30eb\u306e\u4fe1\u983c\u5ea6\u306b\u57fa\u3065\u304f\u30ce\u30a4\u30ba\u306b\u9811\u5065\u306a\u63a8\u85a6\u30b7\u30b9\u30c6\u30e0,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.124, no.288, SIS2024-32, pp.7-12, 2024<\/li>\n\n\n\n
          12. \u5409\u7530 \u71ce, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u591a\u9762\u7684\u5206\u6790\u3092\u7528\u3044\u305f\u30b0\u30e9\u30d5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u3088\u308b\u30bd\u30fc\u30b7\u30e3\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u4e0a\u306e\u60aa\u5f71\u97ff\u6295\u7a3f\u306e\u691c\u51fa,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.124, no.288, SIS2024-31, pp.1-6, 2024<\/li>\n\n\n\n
          13. \u5ca9\u5d0e \u4e00\u8f1d, \u68df\u5b89 \u5b9f\u6cbb, \u6751\u91ce \u6cf0\u6597, \u5409\u7530 \u58ee, \u6d45\u91ce \u6643, \u51fa\u5206 \u83dc\u3005\u8863, \u5409\u6210 \u4f38\u592b, \u5185\u7530 \u5553\u4e00, \u201c\u6b6f\u79d1\u30d1\u30ce\u30e9\u30deX\u7dda\u5199\u771f\u4e0a\u306e\u77f3\u7070\u5316\u9818\u57df\u691c\u51fa\u306b\u304a\u3051\u308b\u30de\u30eb\u30c1\u30bf\u30b9\u30af\u5b66\u7fd2\u306e\u6539\u826f,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.123, no.296, SIS2023-43, pp.105-110, 2023<\/li>\n\n\n\n
          14. \u897f\u672c \u572d\u543e, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u66f2\u9762\u4e0a\u306b\u8cbc\u4ed8\u3057\u305fQR\u30b3\u30fc\u30c9\u304b\u3089\u306e\u88dc\u52a9\u7dda\u3092\u5229\u7528\u3057\u305f\u60c5\u5831\u691c\u51fa,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.123, no.296, SIS2023-42, pp.99-104, 2023<\/li>\n\n\n\n
          15. \u5b89\u7530 \u660c\u5f18, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u643a\u5e2f\u7aef\u672b\u3092\u7528\u3044\u305f\u753b\u50cf\u3078\u306e\u30c7\u30fc\u30bf\u57cb\u3081\u8fbc\u307f\u6280\u8853\u306e\u958b\u767a\u74b0\u5883\u306b\u3064\u3044\u3066,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.123, no.208, SIS2023-23, pp.41-46, 2023<\/li>\n\n\n\n
          16. \u6751\u91ce \u6cf0\u6597, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u6d45\u91ce \u6643, \u5185\u7530 \u5553\u4e00, \u201c\u6b6f\u79d1\u30d1\u30ce\u30e9\u30deX\u7dda\u5199\u771f\u306b\u304a\u3051\u308b\u77f3\u7070\u5316\u9818\u57df\u691c\u51fa\u306e\u305f\u3081\u306e\u65b0\u305f\u306a\u691c\u51fa\u5668\u306e\u63d0\u6848\u3068\u305d\u306e\u5b66\u7fd2\u306b\u304a\u3051\u308bMTL\u306e\u9069\u7528,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.123, no.77, SIS2023-2, pp.7-12, 2023<\/li>\n\n\n\n
          17. \u6751\u91ce \u6cf0\u6597, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u6d45\u91ce \u6643, \u5185\u7530 \u5553\u4e00, \u201cTransformer\u3092\u7528\u3044\u305f\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u306b\u57fa\u3065\u304f\u6b6f\u79d1\u30d1\u30ce\u30e9\u30deX\u7dda\u5199\u771f\u306b\u304a\u3051\u308b\u77f3\u7070\u5316\u9818\u57df\u306e\u691c\u51fa,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.123, no.77, SIS2023-3, pp.13-18, 2023<\/li>\n\n\n\n
          18. \u4e2d\u6751 \u516c\u4eae, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, Mateusz Stencel, Krystian Kuppe, \u201c\u5370\u5237\u753b\u50cf\u304b\u3089\u306e\u60c5\u5831\u691c\u51fa\u306b\u304a\u3051\u308b\u30de\u30fc\u30ab\u3092\u7528\u3044\u305f\u88dc\u6b63\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.123, no.77, SIS2023-1, pp.1-6, 2023<\/li>\n\n\n\n
          19. \u66fd\u6211 \u8305\u51ac, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u30e6\u30fc\u30b6\u306e\u30b9\u30bf\u30f3\u30b9\u5206\u6790\u306b\u3088\u308b\u30d5\u30a7\u30a4\u30af\u30cb\u30e5\u30fc\u30b9\u691c\u51fa\u306e\u9ad8\u7cbe\u5ea6\u5316,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.122, no.410, SIS2022-44, pp.21-26, 2023<\/li>\n\n\n\n
          20. \u9ad8\u91ce \u665f, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u6575\u5bfe\u7684\u6442\u52d5\u3092\u7528\u3044\u305f\u96fb\u5b50\u900f\u304b\u3057\u306e\u4e00\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.122, no.410, SIS2022-43, pp.15-20, 2023<\/li>\n\n\n\n
          21. \u9ad8\u91ce \u665f, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u6d45\u91ce \u6643, \u5185\u7530 \u5553\u4e00, \u201c\u6b6f\u79d1\u30d1\u30ce\u30e9\u30deX\u7dda\u5199\u771f\u304b\u3089\u306e\u77f3\u7070\u5316\u9818\u57df\u306e\u691c\u51fa\u306b\u304a\u3051\u308b\u6575\u5bfe\u7684\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u9069\u7528,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.122, no.293, SIS2022-28, pp.26-31, 2022<\/li>\n\n\n\n
          22. \u6771\u672c \u826f\u592a, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u5b66\u7fd2\u521d\u671f\u306e\u6b63\u5247\u5316\u3068\u52a0\u91cd\u640d\u5931\u3092\u7528\u3044\u305f\u30e9\u30d9\u30eb\u30ce\u30a4\u30ba\u306b\u9811\u5065\u306a\u534a\u6559\u5e2b\u3042\u308a\u5b66\u7fd2,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.122, no.209, SIS2022-16, pp.27-32, 2022<\/li>\n\n\n\n
          23. \u4e0b\u5c71 \u840c\u7d14, \u5409\u7530 \u58ee, \u85e4\u7530 \u9ad8\u592b, \u68df\u5b89 \u5b9f\u6cbb, \u201cU-Net\u306b\u57fa\u3065\u304f\u6587\u5b57\u306e\u5883\u754c\u306b\u6ce8\u76ee\u3057\u305f\u4e2d\u56fd\u51fa\u571f\u6728\u7c21\u304b\u3089\u306e\u6587\u5b57\u9818\u57df\u691c\u51fa\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.121, no.398, SIS2021-35, pp.26-31, 2022<\/li>\n\n\n\n
          24. \u6c5f \u5b5f\u539f, \u5409\u7530 \u58ee, \u85e4\u7530 \u9ad8\u592b, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u6df1\u5c64\u751f\u6210\u30e2\u30c7\u30eb\u3092\u7528\u3044\u305f\u4e2d\u56fd\u51fa\u571f\u6728\u7c21\u306e\u66f8\u4f53\u5206\u6790\u306b\u95a2\u3059\u308b\u4e00\u691c\u8a0e,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.121, no.190, SIS2021-20, pp.54-59, 2021<\/li>\n\n\n\n
          25. \u5b89\u7530 \u660c\u5f18, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u643a\u5e2f\u7aef\u672b\u3092\u7528\u3044\u305f\u753b\u50cf\u3078\u306e\u30c7\u30fc\u30bf\u57cb\u3081\u8fbc\u307f\u6280\u8853\u306e\u8a55\u4fa1\u306e\u305f\u3081\u306e\u7591\u4f3c\u64ae\u5f71\u753b\u50cf\u751f\u6210\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.121, no.190, SIS2021-15, pp.29-34, 2021<\/li>\n\n\n\n
          26. \u5c0f\u624b\u5ddd \u53f2\u6643, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u5370\u5237\u753b\u50cf\u306b\u5bfe\u3059\u308b\u30c7\u30fc\u30bf\u57cb\u3081\u8fbc\u307f\u306b\u304a\u3051\u308b\u66f2\u9762\u4e0a\u306e\u753b\u50cf\u304b\u3089\u306e\u30c7\u30fc\u30bf\u691c\u51fa\u306e\u4e00\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.121, no.190, SIS2021-14, pp.23-28, 2021<\/li>\n\n\n\n
          27. \u5409\u7530 \u58ee, \u677e\u672c \u52c7\u4eba, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u30b0\u30e9\u30d5\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u7528\u3044\u305f\u30d5\u30a7\u30a4\u30af\u30cb\u30e5\u30fc\u30b9\u3092\u62e1\u6563\u3059\u308b\u30e6\u30fc\u30b6\u691c\u51fa,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.120, no.415, SIS2020-48, pp.71-76, 2021<\/li>\n\n\n\n
          28. \u6751\u91ce \u6cf0\u6597, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u6d45\u91ce \u6643, \u5185\u7530 \u5553\u4e00, \u51fa\u5206 \u83dc\u3005\u8863, \u77f3\u5ca1 \u5eb7\u660e, \u5409\u6210 \u4f38\u592b, \u201c\u30bb\u30de\u30f3\u30c6\u30a3\u30c3\u30af\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u306b\u57fa\u3065\u304f\u6b6f\u79d1\u30d1\u30ce\u30e9\u30deX\u7dda\u5199\u771f\u306b\u304a\u3051\u308b\u77f3\u7070\u5316\u9818\u57df\u306e\u691c\u51fa,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.120, no.415, SIS2020-45, pp.55-60, 2021<\/li>\n\n\n\n
          29. \u5929\u898b \u5143\u7d00, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u30d7\u30ed\u30b8\u30a7\u30af\u30bf\u6295\u5f71\u753b\u50cf\u3092\u7528\u3044\u305f\u30c7\u30fc\u30bf\u57cb\u3081\u8fbc\u307f\u753b\u50cf\u304b\u3089\u306e\u60c5\u5831\u691c\u51fa,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.120, no.415, SIS2020-44, pp.49-54, 2021<\/li>\n\n\n\n
          30. \u5ca1 \u5e83\u9ad8, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u4e2d\u9759 \u771f, \u201c\u753b\u7d20\u3054\u3068\u306b\u6700\u9069\u5316\u3057\u305f\u8907\u6570\u69cb\u9020\u8981\u7d20\u3092\u7528\u3044\u305f\u30e2\u30eb\u30d5\u30a9\u30ed\u30b8\u30ab\u30eb\u52fe\u914d\u306b\u57fa\u3065\u304f\u753b\u50cf\u306e\u6b63\u5247\u5316,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.120, no.176, SIS2020-15, pp.29-34, 2020<\/li>\n\n\n\n
          31. \u5409\u7530 \u58ee, \u8c37\u77e5 \u771f\u884c, \u85e4\u7530 \u9ad8\u592b, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u4e2d\u56fd\u6f22\u4ee3\u6728\u7c21\u306e\u6587\u5b57\u9818\u57df\u691c\u51fa,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.119, no.458, SIS2019-44, pp.39-44, 2020<\/li>\n\n\n\n
          32. \u6b66\u7530 \u5553\u5fd7, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u8aa4\u30e9\u30d9\u30eb\u3092\u542b\u3080\u6559\u5e2b\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305fCNN\u306b\u3088\u308b\u753b\u50cf\u8a8d\u8b58,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.119, no.335, SIS2019-25, pp.11-16, 2019<\/li>\n\n\n\n
          33. \u897f\u7530 \u6709\u5e0c, \u897f\u5ddd \u62d3\u5b8f, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u753b\u50cf\u7279\u5fb4\u91cf\u3068\u30c7\u30fc\u30bf\u57cb\u3081\u8fbc\u307f\u3092\u4f75\u7528\u3057\u305f\u5370\u5237\u753b\u50cf\u304b\u3089\u306e\u30c7\u30fc\u30bf\u53d6\u5f97,\u201d \u7b2c34\u56de\u4fe1\u53f7\u51e6\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0, pp.133-134, 2019<\/li>\n\n\n\n
          34. \u5c71\u5d0e \u5eb7\u88d5, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u6d45\u91ce \u6643, \u5185\u7530 \u5553\u4e00, \u77f3\u5ca1 \u5eb7\u660e, \u5409\u6210 \u4f38\u592b, \u7530\u53e3 \u660e, \u201c\u6b6f\u79d1\u30d1\u30ce\u30e9\u30deX\u7dda\u5199\u771f\u306b\u304a\u3051\u308b\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u77f3\u7070\u5316\u9818\u57df\u306e\u691c\u51fa\u7cbe\u5ea6\u5411\u4e0a,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.119, no.335, SIS2019-24, pp.5-10, 2019<\/li>\n\n\n\n
          35. \u5927\u539f \u7fd4\u77e2, \u5ca1 \u5e83\u9ad8, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u4e2d\u9759 \u771f, \u201c\u753b\u7d20\u3054\u3068\u306e\u69cb\u9020\u8981\u7d20\u6700\u9069\u5316\u3092\u7528\u3044\u305f\u30e2\u30eb\u30d5\u30a9\u30ed\u30b8\u30ab\u30eb\u52fe\u914d\u3068Total Variation\u306b\u57fa\u3065\u304f\u753b\u50cf\u306e\u6b63\u5247\u5316,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.119, no.240, SIS2019-17, pp.47-52, 2019<\/li>\n\n\n\n
          36. \u897f\u5ddd \u62d3\u5b8f, \u897f\u7530 \u6709\u5e0c, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u30c7\u30fc\u30bf\u57cb\u3081\u8fbc\u307f\u3068\u753b\u50cf\u7279\u5fb4\u91cf\u3092\u4f75\u7528\u3057\u305f\u5370\u5237\u753b\u50cf\u304b\u3089\u306e\u30c7\u30fc\u30bf\u53d6\u5f97,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2019\u5e74\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a\u8ad6\u6587\u96c6, A-15-4, 2019<\/li>\n\n\n\n
          37. \u5c71\u5d0e \u5eb7\u88d5, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u6d45\u91ce \u6643, \u5185\u7530 \u5553\u4e00, \u77f3\u5ca1 \u5eb7\u660e, \u5409\u6210 \u4f38\u592b, \u7530\u53e3 \u660e, \u201c\u6df1\u5c64\u5b66\u7fd2\u3092\u7528\u3044\u305f\u6b6f\u79d1\u30d1\u30ce\u30e9\u30deX\u7dda\u5199\u771f\u306b\u304a\u3051\u308b\u77f3\u7070\u5316\u9818\u57df\u691c\u51fa,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2019\u5e74\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a\u8ad6\u6587\u96c6, A-15-8, 2019<\/li>\n\n\n\n
          38. \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u30b3\u30f3\u30c6\u30f3\u30c4\u306e\u985e\u4f3c\u5ea6\u306b\u57fa\u3065\u3044\u305f\u52d5\u753b\u5171\u6709\u30b5\u30a4\u30c8\u3067\u4ed8\u4e0e\u3055\u308c\u305f\u30bf\u30b0\u306e\u30e9\u30f3\u30ad\u30f3\u30b0\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.118, no.346, SIS2018-36, pp.79-84, 2018<\/li>\n\n\n\n
          39. \u85e4\u4e95 \u5b5d\u5321, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u30de\u30eb\u30c1\u30bf\u30b0\u306b\u3088\u308b\u30b3\u30f3\u30c6\u30f3\u30c4\u8868\u73fe\u3092\u8003\u616e\u3057\u305f\u6620\u50cf\u306e\u30ea\u30e9\u30f3\u30ad\u30f3\u30b0\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.118, no.346, SIS2018-35, pp.73-78, 2018<\/li>\n\n\n\n
          40. \u690e\u8449 \u5c06\u53f8, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u5370\u5237\u753b\u50cf\u3078\u306e\u30c7\u30fc\u30bf\u57cb\u3081\u8fbc\u307f\u306b\u304a\u3051\u308b\u691c\u51fa\u624b\u6cd5\u306e\u6539\u5584,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.118, no.346, SIS2018-34, pp.67-72, 2018<\/li>\n\n\n\n
          41. \u690e\u8449 \u5c06\u53f8, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u5370\u5237\u753b\u50cf\u3078\u306e\u30c7\u30fc\u30bf\u57cb\u3081\u8fbc\u307f\u306b\u304a\u3051\u308b\u691c\u51fa\u7387\u306e\u6539\u5584\u6cd5,\u201d \u7b2c33\u56de\u4fe1\u53f7\u51e6\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8b1b\u6f14\u8ad6\u6587\u96c6, pp.99-100, 2018<\/li>\n\n\n\n
          42. \u5927\u539f \u7fd4\u77e2, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u4e2d\u9759 \u771f, \u201cGA\u306b\u3088\u308b\u69cb\u9020\u8981\u7d20\u6700\u9069\u5316\u3092\u7528\u3044\u305f\u30e2\u30eb\u30d5\u30a9\u30ed\u30b8\u30ab\u30eb\u52fe\u914d\u3068Total Variation\u306b\u57fa\u3065\u304f\u753b\u50cf\u306e\u6b63\u5247\u5316,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.118, no.264, SIS2018-17, pp.77-82, 2018<\/li>\n\n\n\n
          43. \u85e4\u4e95 \u5b5d\u5321, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u30bf\u30b0\u30d9\u30af\u30c8\u30eb\u8868\u73fe\u3092\u7528\u3044\u305fWeb\u6620\u50cf\u691c\u7d22\u7d50\u679c\u306e\u30ea\u30e9\u30f3\u30ad\u30f3\u30b0,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.118, no.73, SIS2018-9, pp.75-80, 2018<\/li>\n\n\n\n
          44. \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u7570\u7a2e\u30e1\u30bf\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u30b0\u30e9\u30d5\u30d9\u30fc\u30b9\u30bd\u30d5\u30c8\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u306b\u57fa\u3065\u304fWeb\u6620\u50cf\u30ea\u30e9\u30f3\u30ad\u30f3\u30b0,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.118, no.73, SIS2018-8, pp.69-74, 2018<\/li>\n\n\n\n
          45. \u5ca1 \u5e83\u9ad8, \u5927\u539f \u7fd4\u77e2, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u4e2d\u9759 \u771f, \u201c\u8907\u6570\u69cb\u9020\u8981\u7d20\u3068\u305d\u306e\u6700\u9069\u5316\u3092\u7528\u3044\u305f\u30e2\u30eb\u30d5\u30a9\u30ed\u30b8\u30ab\u30eb\u52fe\u914d\u306b\u57fa\u3065\u304f\u753b\u50cf\u306e\u6b63\u5247\u5316,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.118, no.73, SIS2018-7, pp.63-68, 2018<\/li>\n\n\n\n
          46. \u5409\u7530 \u58ee, \u4e2d\u6751 \u5065\u592a\u90ce, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u30de\u30eb\u30c1\u30ec\u30a4\u30e4\u30b0\u30e9\u30d5\u3092\u7528\u3044\u305f\u6620\u50cf\u7279\u5fb4\u306e\u7d71\u5408\u306b\u57fa\u3065\u304f\u6620\u50cf\u691c\u7d22\u624b\u6cd5\u306e\u7cbe\u5ea6\u5411\u4e0a,\u201d \u96fb\u6c17\u5b66\u4f1a\u7814\u7a76\u4f1a\u8cc7\u6599, ST-18-006, pp.25-30, 2018<\/li>\n\n\n\n
          47. \u5409\u5ca1 \u771f\u4e00\u90ce, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u7279\u5fb4\u70b9\u8ecc\u8de1\u3068\u30d1\u30fc\u30c6\u30a3\u30af\u30eb\u30d5\u30a3\u30eb\u30bf\u3092\u7528\u3044\u305f\u52d5\u4f5c\u8a8d\u8b58\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.117, no.349, SIS2017-53, pp.113-118, 2017<\/li>\n\n\n\n
          48. \u5929\u898b \u5143\u7d00, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u4efb\u610f\u306b\u914d\u7f6e\u3055\u308c\u305f\u30c7\u30fc\u30bf\u57cb\u3081\u8fbc\u307f\u753b\u50cf\u306e\u691c\u51fa,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.117, no.349, SIS2017-47, pp.77-82, 2017<\/li>\n\n\n\n
          49. \u6c60\u4e0b \u96c4\u5927, \u68df\u5b89 \u5b9f\u6cbb, \u4e2d\u9759 \u771f, \u5409\u7530 \u58ee, \u201c\u69cb\u9020\u8981\u7d20\u306e\u6700\u9069\u5316\u3092\u8003\u616e\u3057\u305f\u30e2\u30eb\u30d5\u30a9\u30ed\u30b8\u30ab\u30eb\u52fe\u914d\u306b\u57fa\u3065\u304f\u753b\u50cf\u306e\u6b63\u5247\u5316\u306e\u4e00\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.117, no.349, SIS2017-40, pp.39-44, 2017<\/li>\n\n\n\n
          50. \u897f\u57a3\u5185 \u5d07\u5b8f, \u68df\u5b89 \u5b9f\u6cbb, \u677e\u5cf6 \u606d\u6cbb, \u5409\u7530 \u58ee, \u7530\u53e3 \u4eae, \u201c2\u5024\u30db\u30ed\u30b0\u30e9\u30d5\u30a3\u5e72\u6e09\u7e1e\u30c7\u30fc\u30bf\u306e\u975e\u53ef\u9006\u5727\u7e2e\u306e\u4e00\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.117, no.236, SIS2017-23, pp.7-12, 2017<\/li>\n\n\n\n
          51. \u85e4\u4e95 \u5b5d\u5321, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u9069\u5408\u6027\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u306b\u57fa\u3065\u304f\u30ea\u30e9\u30f3\u30ad\u30f3\u30b0\u3092\u5229\u7528\u3057\u305f\u6620\u50cf\u691c\u7d22\u306e\u4e00\u624b\u6cd5,\u201d \u96fb\u6c17\u5b66\u4f1a\u7814\u7a76\u4f1a\u8cc7\u6599, ST-17-036, pp.87-92, 2017<\/li>\n\n\n\n
          52. \u85e4\u4e95 \u5b5d\u5321, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u30e6\u30fc\u30b6\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u3092\u5229\u7528\u3057\u305f\u30b3\u30f3\u30c6\u30f3\u30c4\u306e\u9069\u5408\u6027\u306b\u57fa\u3065\u304f\u6620\u50cf\u691c\u7d22,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2017\u5e74\u57fa\u790e\u30fb\u5883\u754c\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a\u8ad6\u6587\u96c6, A-15-6, 2017<\/li>\n\n\n\n
          53. \u5409\u5ca1 \u771f\u4e00\u90ce, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u7279\u5fb4\u70b9\u8ecc\u8de1\u3068\u30d1\u30fc\u30c6\u30a3\u30af\u30eb\u30d5\u30a3\u30eb\u30bf\u306b\u3088\u308b\u52d5\u4f5c\u8a8d\u8b58\u306e\u4e00\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2017\u5e74\u57fa\u790e\u30fb\u5883\u754c\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a\u8ad6\u6587\u96c6, A-15-8, 2017<\/li>\n\n\n\n
          54. \u5409\u7530 \u58ee, \u5c0f\u5ddd \u8cb4\u5f18, \u9577\u8c37\u5c71 \u7f8e\u7d00, \u68df\u5b89 \u5b9f\u6cbb, \u201cWeb Video Search Reranking using a Heterogeneous Graph-Based Soft Clustering Approach,\u201d \u753b\u50cf\u306e\u8a8d\u8b58\u30fb\u7406\u89e3\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\uff08MIRU2017\uff09, PS2-41, pp.1-4, 2017<\/li>\n\n\n\n
          55. \u751a\u7530 \u90a3\u7531\u592a, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u5370\u5237\u753b\u50cf\u3092\u5229\u7528\u3057\u305f\u60c5\u5831\u57cb\u3081\u8fbc\u307f\u578b\u30de\u30fc\u30ab\u306e\u4f4d\u7f6e\u30fb\u59ff\u52e2\u63a8\u5b9a\u3068\u60c5\u5831\u691c\u51fa,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.117, no.70, SIS2017-7, pp.35-40, 2017<\/li>\n\n\n\n
          56. \u5927\u539f \u7fd4\u77e2, \u6c60\u4e0b \u96c4\u5927, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u4e2d\u9759 \u771f, \u201cGA\u306b\u3088\u308b\u69cb\u9020\u8981\u7d20\u306e\u6700\u9069\u5316\u3092\u7528\u3044\u305f\u30e2\u30eb\u30d5\u30a9\u30ed\u30b8\u30ab\u30eb\u52fe\u914d\u306b\u57fa\u3065\u304f\u753b\u50cf\u306e\u6b63\u5247\u5316,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30b9\u30de\u30fc\u30c8\u30a4\u30f3\u30d5\u30a9\u30e1\u30c7\u30a3\u30a2\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u4f1a, vol.117, no.70, SIS2017-3, pp.13-18, 2017<\/li>\n\n\n\n
          57. \u963f\u90e8 \u8aa0\u4e5f, \u68df\u5b89 \u5b9f\u6cbb, \u5409\u7530 \u58ee, \u201c\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u3088\u308b\u30a4\u30f3\u30d1\u30eb\u30b9\u691c\u51fa\u5668\u306e\u4e00\u8a2d\u8a08\u624b\u6cd5,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2017\u5e74\u7dcf\u5408\u5927\u4f1a\u8ad6\u6587\u96c6, A-15-8, 2017<\/li>\n\n\n\n
          58. \u6c60\u4e0b \u96c4\u5927, \u68df\u5b89 \u5b9f\u6cbb, \u4e2d\u9759 \u771f, \u5409\u7530 \u58ee, \u201c\u591a\u5024\u69cb\u9020\u8981\u7d20\u306e\u6700\u9069\u5316\u3092\u8003\u616e\u3057\u305f\u30e2\u30eb\u30d5\u30a9\u30ed\u30b8\u30ab\u30eb\u52fe\u914d\u306b\u57fa\u3065\u304f\u753b\u50cf\u306e\u6b63\u5247\u5316,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2017\u5e74\u7dcf\u5408\u5927\u4f1a\u8ad6\u6587\u96c6, A-15-7, 2017<\/li>\n\n\n\n
          59. \u85e4\u4e95 \u5b5d\u5321, \u5409\u7530 \u58ee, \u68df\u5b89 \u5b9f\u6cbb, \u201c\u30e6\u30fc\u30b6\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u3092\u5229\u7528\u3057\u305f\u91cd\u307f\u4ed8\u3051\u306b\u57fa\u3065\u304f\u6620\u50cf\u691c\u7d22\u7cbe\u5ea6\u306e\u5411\u4e0a,\u201d \u6620\u50cf\u60c5\u5831\u30e1\u30c7\u30a3\u30a2\u5b66\u4f1a\u6280\u8853\u5831\u544a, \u30e1\u30c7\u30a3\u30a2\u5de5\u5b66\u7814\u7a76\u4f1a, vol.41, no.5, ME2017-39, pp.93-97, 2017<\/li>\n\n\n\n
          60. \u5409\u7530 \u58ee, \u5c0f\u5ddd \u8cb4\u5f18, \u9577\u8c37\u5c71 \u7f8e\u7d00, \u68df\u5b89 \u5b9f\u6cbb, \u201cWeb\u6620\u50cf\u691c\u7d22\u306e\u305f\u3081\u306e\u30b0\u30e9\u30d5\u30de\u30a4\u30cb\u30f3\u30b0\u3092\u7528\u3044\u305f\u30ea\u30e9\u30f3\u30ad\u30f3\u30b0\u624b\u6cd5,\u201d \u7b2c31\u56de\u4fe1\u53f7\u51e6\u7406\u30b7\u30f3\u30dd\u30b8\u30a6\u30e0\u8ad6\u6587\u96c6, pp.184-189, 2016<\/li>\n\n\n\n
          61. \u5409\u7530 \u58ee, \u5c0f\u5ddd \u8cb4\u5f18, \u9577\u8c37\u5c71 \u7f8e\u7d00, \u68df\u5b89 \u5b9f\u6cbb, \u201cWeb\u6620\u50cf\u691c\u7d22\u3092\u76ee\u7684\u3068\u3057\u305f\u30ea\u30e9\u30f3\u30ad\u30f3\u30b0\u306e\u9ad8\u7cbe\u5ea6\u5316\u306b\u95a2\u3059\u308b\u691c\u8a0e,\u201d \u96fb\u5b50\u60c5\u5831\u901a\u4fe1\u5b66\u4f1a2016\u5e74\u57fa\u790e\u30fb\u5883\u754c\u30bd\u30b5\u30a4\u30a8\u30c6\u30a3\u5927\u4f1a\u8ad6\u6587\u96c6, A-15-5, 2016<\/li>\n<\/ol>\n\n\n\n
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