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2020 – today
- 2024
[j13]Ryota Higashimoto, Soh Yoshida
, Mitsuji Muneyasu:
ConfidentMix: Confidence-Guided Mixup for Learning With Noisy Labels. IEEE Access 12: 58519-58531 (2024)- [j12]Kayato Soga, Soh Yoshida, Mitsuji Muneyasu:
Graph-Based Interpretability for Fake News Detection through Topic- and Propagation-Aware Visualization. Comput. 12(4): 82 (2024) - [j11]Ryota Higashimoto, Soh Yoshida, Takashi Horihata, Mitsuji Muneyasu:
Unbiased Pseudo-Labeling for Learning with Noisy Labels. IEICE Trans. Inf. Syst. 107(1): 44-48 (2024) - [j10]Kayato Soga, Soh Yoshida, Mitsuji Muneyasu:
Exploiting stance similarity and graph neural networks for fake news detection. Pattern Recognit. Lett. 177: 26-32 (2024) - [j9]Takuto Sugiyama, Soh Yoshida, Mitsuji Muneyasu:
DRGNN: Disentangled representation graph neural network for diverse category-level recommendations. Pattern Recognit. Lett. 186: 78-84 (2024) - 2023
- [j8]Masahiro Yasuda, Soh Yoshida, Mitsuji Muneyasu:
New Performance Evaluation Method for Data Embedding Techniques for Printed Images Using Mobile Devices Based on a GAN. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(3): 481-485 (2023) - [j7]Hojun Shimoyama, Soh Yoshida, Takao Fujita, Mitsuji Muneyasu:
U-Net Architecture for Ancient Handwritten Chinese Character Detection in Han Dynasty Wooden Slips. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 106(11): 1406-1415 (2023) - [c17]Kayato Soga, Soh Yoshida, Mitsuji Muneyasu:
Confirmation Bias-Aware Fake News Detection with Graph Transformer Networks. GCCE 2023: 1077-1078 - [c16]Takuto Sugiyama, Soh Yoshida, Mitsuji Muneyasu:
Diversified Recommendation Using Graph Neural Networks Invariant to User-level Category Preference. GCCE 2023: 1079-1081 - 2022
- [c15]Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu:
A Robust Learning Framework Using Self-supervised Learning for Learning with Noisy Labels. GCCE 2022: 398-399 - [c14]Kayato Soga, Soh Yoshida, Mitsuji Muneyasu:
Propagation-Based Fake News Detection Using a Combination of Different Content Features. GCCE 2022: 400-401 - [c13]Hayato Matsumoto, Soh Yoshida, Mitsuji Muneyasu:
Flexible Framework to Provide Explainability for Fake News Detection Methods on Social Media. GCCE 2022: 410-411 - 2021
- [j6]Hiroshi Takeda, Soh Yoshida, Mitsuji Muneyasu:
Training Robust Deep Neural Networks on Noisy Labels Using Adaptive Sample Selection With Disagreement. IEEE Access 9: 141131-141143 (2021) - [c12]Hayato Matsumoto, Soh Yoshida, Mitsuji Muneyasu:
Propagation-Based Fake News Detection Using Graph Neural Networks with Transformer. GCCE 2021: 19-20 - [c11]Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Kosin Chamnongthai, Akira Asano, Keiichi Uchida:
New Method of Detecting Calcification Regions in Dental Panoramic Radiographs Based on U-PraNet. ISCIT 2021: 11-14 - [c10]Fumiaki Kotegawa, Mitsuji Muneyasu, Soh Yoshida:
Method of Extracting Data from Images on a Curved Surface in Data Embedding to Printed Images Using Mobile Devices. ISPACS 2021: 1-2 - 2020
- [j5]Soh Yoshida, Mitsuji Muneyasu, Takahiro Ogawa, Miki Haseyama:
Heterogeneous-Graph-Based Video Search Reranking Using Topic Relevance. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 103-A(12): 1529-1540 (2020) - [c9]Hiroshi Takeda, Soh Yoshida, Mitsuji Muneyasu:
Learning from Noisy Labeled Data Using Symmetric Cross-Entropy Loss for Image Classification. GCCE 2020: 709-711
2010 – 2019
- 2019
- [j4]Takamasa Fujii, Soh Yoshida, Mitsuji Muneyasu:
Video Search Reranking with Relevance Feedback Using Visual and Textual Similarities. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(12): 1900-1909 (2019) - [j3]Shoya Oohara, Mitsuji Muneyasu, Soh Yoshida, Makoto Nakashizuka:
Image Regularization with Total Variation and Optimized Morphological Gradient Priors. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 102-A(12): 1920-1924 (2019) - [c8]Masashi Shiiba, Mitsuji Muneyasu, Soh Yoshida:
New Data Embedding and Detecting Method for Printed Image. GCCE 2019: 219-220 - [c7]Hiroshi Takeda, Soh Yoshida, Mitsuji Muneyasu:
Tag-based Video Retrieval with Social Tag Relevance Learning. GCCE 2019: 869-870 - [c6]Takuhiro Nishikawa, Mitsuji Muneyasu, Yuuki Nishida, Soh Yoshida, Kosin Chamnongthai:
Data Retrieval from Printed Image Using Image Features and Data Embedding. ISPACS 2019: 1-2 - [c5]Shoya Oohara, Hirotaka Oka, Mitsuji Muneyasu, Soh Yoshida, Makoto Nakashizuka:
Image Regularization with Morphological Gradient Priors Using Optimal Structuring Elements for Each Pixel. ISPACS 2019: 1-2 - 2018
- [j2]Soh Yoshida, Takahiro Ogawa, Miki Haseyama, Mitsuji Muneyasu:
Graph-Based Video Search Reranking with Local and Global Consistency Analysis. IEICE Trans. Inf. Syst. 101-D(5): 1430-1440 (2018) - [c4]Takamasa Fujii, Soh Yoshida, Mitsuji Muneyasu:
Video Retrieval by Reranking and Relevance Feedback with Tag-Based Similarity. GCCE 2018: 1-2 - [c3]Shoya Oohara, Mitsuji Muneyasu, Soh Yoshida, Makoto Nakashizuka:
Image Regularization Using Total Variation and Morphological Gradient Priors with Optimization of Structuring Element. ISPACS 2018: 498-503 - 2017
- [j1]Mitsuji Muneyasu, Nayuta Jinda, Yuuya Moritani, Soh Yoshida:
Data Extraction Method from Printed Images with Different Formats. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 100-A(11): 2355-2357 (2017) - 2016
- [c2]Soh Yoshida, Takahiro Ogawa, Miki Haseyama:
Graph-based web video search reranking through consistency analysis using spectral clustering. ICME 2016: 1-6 - 2015
- [c1]Soh Yoshida, Takahiro Ogawa, Miki Haseyama:
Heterogeneous Graph-based Video Search Reranking using Web Knowledge via Social Media Network. ACM Multimedia 2015: 871-874
Coauthor Index
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