Heterogeneous Graph-based Video Search Reranking using Web Knowledge via Social Media Network. - Soh Yoshida; Takahiro Ogawa 001; Miki Haseyama (ACM Multimedia, 2015)

Graph-based web video search reranking through consistency analysis using spectral clustering. - Soh Yoshida; Takahiro Ogawa 001; Miki Haseyama (ICME, 2016)

Data Extraction Method from Printed Images with Different Formats. - Mitsuji Muneyasu; Nayuta Jinda; Yuuya Moritani; Soh Yoshida (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Video Retrieval by Reranking and Relevance Feedback with Tag-Based Similarity. - Takamasa Fujii; Soh Yoshida; Mitsuji Muneyasu (GCCE, 2018)

Image Regularization Using Total Variation and Morphological Gradient Priors with Optimization of Structuring Element. - Shoya Oohara; Mitsuji Muneyasu; Soh Yoshida; Makoto Nakashizuka (ISPACS, 2018)

Graph-Based Video Search Reranking with Local and Global Consistency Analysis. - Soh Yoshida; Takahiro Ogawa 001; Miki Haseyama; Mitsuji Muneyasu (IEICE Trans. Inf. Syst., 2018)

New Data Embedding and Detecting Method for Printed Image. - Masashi Shiiba; Mitsuji Muneyasu; Soh Yoshida (GCCE, 2019)

Tag-based Video Retrieval with Social Tag Relevance Learning. - Hiroshi Takeda; Soh Yoshida; Mitsuji Muneyasu (GCCE, 2019)

Data Retrieval from Printed Image Using Image Features and Data Embedding. - Takuhiro Nishikawa; Mitsuji Muneyasu; Yuuki Nishida; Soh Yoshida; Kosin Chamnongthai (ISPACS, 2019)

Image Regularization with Morphological Gradient Priors Using Optimal Structuring Elements for Each Pixel. - Shoya Oohara; Hirotaka Oka; Mitsuji Muneyasu; Soh Yoshida; Makoto Nakashizuka (ISPACS, 2019)

Video Search Reranking with Relevance Feedback Using Visual and Textual Similarities. - Takamasa Fujii; Soh Yoshida; Mitsuji Muneyasu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

Image Regularization with Total Variation and Optimized Morphological Gradient Priors. - Shoya Oohara; Mitsuji Muneyasu; Soh Yoshida; Makoto Nakashizuka (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2019)

Learning from Noisy Labeled Data Using Symmetric Cross-Entropy Loss for Image Classification. - Hiroshi Takeda; Soh Yoshida; Mitsuji Muneyasu (GCCE, 2020)

Heterogeneous-Graph-Based Video Search Reranking Using Topic Relevance. - Soh Yoshida; Mitsuji Muneyasu; Takahiro Ogawa 001; Miki Haseyama (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2020)

Propagation-Based Fake News Detection Using Graph Neural Networks with Transformer. - Hayato Matsumoto; Soh Yoshida; Mitsuji Muneyasu (GCCE, 2021)

New Method of Detecting Calcification Regions in Dental Panoramic Radiographs Based on U-PraNet. - Taito Murano; Mitsuji Muneyasu; Soh Yoshida; Kosin Chamnongthai; Akira Asano; Keiichi Uchida (ISCIT, 2021)

Method of Extracting Data from Images on a Curved Surface in Data Embedding to Printed Images Using Mobile Devices. - Fumiaki Kotegawa; Mitsuji Muneyasu; Soh Yoshida (ISPACS, 2021)

Training Robust Deep Neural Networks on Noisy Labels Using Adaptive Sample Selection With Disagreement. - Hiroshi Takeda; Soh Yoshida; Mitsuji Muneyasu (IEEE Access, 2021)

A Robust Learning Framework Using Self-supervised Learning for Learning with Noisy Labels. - Ryota Higashimoto; Soh Yoshida; Mitsuji Muneyasu (GCCE, 2022)

Flexible Framework to Provide Explainability for Fake News Detection Methods on Social Media. - Hayato Matsumoto; Soh Yoshida; Mitsuji Muneyasu (GCCE, 2022)

Propagation-Based Fake News Detection Using a Combination of Different Content Features. - Kayato Soga; Soh Yoshida; Mitsuji Muneyasu (GCCE, 2022)

Confirmation Bias-Aware Fake News Detection with Graph Transformer Networks. - Kayato Soga; Soh Yoshida; Mitsuji Muneyasu (GCCE, 2023)

Diversified Recommendation Using Graph Neural Networks Invariant to User-level Category Preference. - Takuto Sugiyama; Soh Yoshida; Mitsuji Muneyasu (GCCE, 2023)

New Performance Evaluation Method for Data Embedding Techniques for Printed Images Using Mobile Devices Based on a GAN. - Masahiro Yasuda; Soh Yoshida; Mitsuji Muneyasu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

U-Net Architecture for Ancient Handwritten Chinese Character Detection in Han Dynasty Wooden Slips. - Hojun Shimoyama; Soh Yoshida; Takao Fujita; Mitsuji Muneyasu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2023)

Improving Fake News Detection through Time-Series-Aware Structural Feature Extraction in Dynamic Graph Convolutional Networks. - Tomoki Abe; Soh Yoshida; Mitsuji Muneyasu (GCCE, 2024)

Diversified User Recommendation to Avoid Filter Bubbles in Social Media Communities. - Hiroki Fujiwara; Soh Yoshida; Mitsuji Muneyasu (GCCE, 2024)

Improvement of Detection Accuracy for Calcification Regions in Dental Panoramic Radiographs Using LVAT. - Naoki Ikeda; Sei Takano; Mitsuji Muneyasu; Soh Yoshida; Akira Asano; Nanae Dewake; Nobuo Yoshinari; Keiichi Uchida (ISPACS, 2024)

Improved Multi-task Learning for Detection of Calcification Regions in Dental Panoramic Radiographs. - Kazuki Iwasaki; Taito Murano; Mitsuji Muneyasu; Soh Yoshida; Akira Asano; Nanae Dewake; Nobuo Yoshinari; Keiichi Uchida (ISPACS, 2024)

Data Detection from Images on Curved Surfaces in Data Embedding to Printed Images using Auxiliary Lines. - Keigo Nishimoto; Mitsuji Muneyasu; Soh Yoshida (ISPACS, 2024)

ConfidentMix: Confidence-Guided Mixup for Learning With Noisy Labels. - Ryota Higashimoto; Soh Yoshida; Mitsuji Muneyasu (IEEE Access, 2024)

DRGNN: Disentangled representation graph neural network for diverse category-level recommendations. - Takuto Sugiyama; Soh Yoshida; Mitsuji Muneyasu (Pattern Recognit. Lett., 2024)

Unbiased Pseudo-Labeling for Learning with Noisy Labels. - Ryota Higashimoto; Soh Yoshida; Takashi Horihata; Mitsuji Muneyasu (IEICE Trans. Inf. Syst., 2024)

Exploiting stance similarity and graph neural networks for fake news detection. - Kayato Soga; Soh Yoshida; Mitsuji Muneyasu (Pattern Recognit. Lett., 2024)

Graph-Based Interpretability for Fake News Detection through Topic- and Propagation-Aware Visualization. - Kayato Soga; Soh Yoshida; Mitsuji Muneyasu (Comput., 2024)

Domain Adaptation Across Geographic Regions Through Region-Specific Feature Learning and Distribution Matching. - Takashi Horihata; Soh Yoshida; Mitsuji Muneyasu (IEEE Access, 2025)

Joint Modeling of Prediction and Behavioral Patterns for Reliable Recommendation With Implicit Feedback. - Takuto Sugiyama; Soh Yoshida; Mitsuji Muneyasu (IEEE Access, 2025)

MAHGA: Multi-Aspect Heterogeneous Graph Analysis for Harmful Speech Detection on Social Networks. - Ryo Yoshida; Soh Yoshida; Mitsuji Muneyasu (IEEE Access, 2025)

Application of Adversarial Training in the Detection of Calcification Regions from Dental Panoramic Radiographs. - Sei Takano; Mitsuji Muneyasu; Soh Yoshida; Akira Asano; Nanae Dewake; Nobuo Yoshinari; Keiichi Uchida (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025)

Embedding Learning with Relational Heterogeneous Information in Social Network Posts to Detect Malicious Behavior. - Ryo Yoshida; Soh Yoshida; Mitsuji Muneyasu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025)

Aesthetic Evaluation of Chinese Calligraphy Using TabNet: Interpretability and Novel Features for Improved Accuracy. - Soh Yoshida; Nozomi Yatoh; Mitsuji Muneyasu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2025)