Soh Yoshida - RankMe

44 papers A* 1A 1Journal 22Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACD-U: Asymmetric co-teaching with machine unlearning for robust learning with noisy labels. CoRR Reo Fukunaga, Soh Yoshida, Mitsuji Muneyasu
2026	J	`jnl`	Feature Space-Preserving Machine Unlearning for Robust Image Classification With Noisy Labels. IEEE Access Shohei Yamamoto, Soh Yoshida, Mitsuji Muneyasu
2025	J	`jnl`	Aesthetic Evaluation of Chinese Calligraphy Using TabNet: Interpretability and Novel Features for Improved Accuracy. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Soh Yoshida, Nozomi Yatoh, Mitsuji Muneyasu
2025	J	`jnl`	Application of Adversarial Training in the Detection of Calcification Regions from Dental Panoramic Radiographs. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano, Nanae Dewake, Nobuo Yoshinari, Keiichi Uchida
2025	J	`jnl`	Community-Aware Two-Stage Diversification for Social Media User Recommendation with Graph Neural Networks. Inf. Soh Yoshida
2025	J	`jnl`	Domain Adaptation Across Geographic Regions Through Region-Specific Feature Learning and Distribution Matching. IEEE Access Takashi Horihata, Soh Yoshida, Mitsuji Muneyasu
2025	J	`jnl`	Embedding Learning with Relational Heterogeneous Information in Social Network Posts to Detect Malicious Behavior. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Ryo Yoshida, Soh Yoshida, Mitsuji Muneyasu
2025	J	`jnl`	Joint Modeling of Prediction and Behavioral Patterns for Reliable Recommendation With Implicit Feedback. IEEE Access Takuto Sugiyama, Soh Yoshida, Mitsuji Muneyasu
2025	J	`jnl`	MAHGA: Multi-Aspect Heterogeneous Graph Analysis for Harmful Speech Detection on Social Networks. IEEE Access Ryo Yoshida, Soh Yoshida, Mitsuji Muneyasu
2024	J	`jnl`	ConfidentMix: Confidence-Guided Mixup for Learning With Noisy Labels. IEEE Access Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu
2024	J	`jnl`	DRGNN: Disentangled representation graph neural network for diverse category-level recommendations. Pattern Recognit. Lett. Takuto Sugiyama, Soh Yoshida, Mitsuji Muneyasu
2024	—	`conf`	Data Detection from Images on Curved Surfaces in Data Embedding to Printed Images using Auxiliary Lines. ISPACS Keigo Nishimoto, Mitsuji Muneyasu, Soh Yoshida
2024	—	`conf`	Diversified User Recommendation to Avoid Filter Bubbles in Social Media Communities. GCCE Hiroki Fujiwara, Soh Yoshida, Mitsuji Muneyasu
2024	J	`jnl`	Exploiting stance similarity and graph neural networks for fake news detection. Pattern Recognit. Lett. Kayato Soga, Soh Yoshida, Mitsuji Muneyasu
2024	J	`jnl`	Graph-Based Interpretability for Fake News Detection through Topic- and Propagation-Aware Visualization. Comput. Kayato Soga, Soh Yoshida, Mitsuji Muneyasu
2024	—	`conf`	Improved Multi-task Learning for Detection of Calcification Regions in Dental Panoramic Radiographs. ISPACS Kazuki Iwasaki, Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano, Nanae Dewake, Nobuo Yoshinari, Keiichi Uchida
2024	—	`conf`	Improvement of Detection Accuracy for Calcification Regions in Dental Panoramic Radiographs Using LVAT. ISPACS Naoki Ikeda, Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano, Nanae Dewake, Nobuo Yoshinari, Keiichi Uchida
2024	—	`conf`	Improving Fake News Detection through Time-Series-Aware Structural Feature Extraction in Dynamic Graph Convolutional Networks. GCCE Tomoki Abe, Soh Yoshida, Mitsuji Muneyasu
2024	J	`jnl`	Unbiased Pseudo-Labeling for Learning with Noisy Labels. IEICE Trans. Inf. Syst. Ryota Higashimoto, Soh Yoshida, Takashi Horihata, Mitsuji Muneyasu
2023	—	`conf`	Confirmation Bias-Aware Fake News Detection with Graph Transformer Networks. GCCE Kayato Soga, Soh Yoshida, Mitsuji Muneyasu
2023	—	`conf`	Diversified Recommendation Using Graph Neural Networks Invariant to User-level Category Preference. GCCE Takuto Sugiyama, Soh Yoshida, Mitsuji Muneyasu
2023	J	`jnl`	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. Masahiro Yasuda, Soh Yoshida, Mitsuji Muneyasu
2023	J	`jnl`	U-Net Architecture for Ancient Handwritten Chinese Character Detection in Han Dynasty Wooden Slips. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Hojun Shimoyama, Soh Yoshida, Takao Fujita, Mitsuji Muneyasu
2022	—	`conf`	A Robust Learning Framework Using Self-supervised Learning for Learning with Noisy Labels. GCCE Ryota Higashimoto, Soh Yoshida, Mitsuji Muneyasu
2022	—	`conf`	Flexible Framework to Provide Explainability for Fake News Detection Methods on Social Media. GCCE Hayato Matsumoto, Soh Yoshida, Mitsuji Muneyasu
2022	—	`conf`	Propagation-Based Fake News Detection Using a Combination of Different Content Features. GCCE Kayato Soga, Soh Yoshida, Mitsuji Muneyasu
2021	—	`conf`	Method of Extracting Data from Images on a Curved Surface in Data Embedding to Printed Images Using Mobile Devices. ISPACS Fumiaki Kotegawa, Mitsuji Muneyasu, Soh Yoshida
2021	—	`conf`	New Method of Detecting Calcification Regions in Dental Panoramic Radiographs Based on U-PraNet. ISCIT Taito Murano, Mitsuji Muneyasu, Soh Yoshida, Kosin Chamnongthai, Akira Asano, Keiichi Uchida
2021	—	`conf`	Propagation-Based Fake News Detection Using Graph Neural Networks with Transformer. GCCE Hayato Matsumoto, Soh Yoshida, Mitsuji Muneyasu
2021	J	`jnl`	Training Robust Deep Neural Networks on Noisy Labels Using Adaptive Sample Selection With Disagreement. IEEE Access Hiroshi Takeda, Soh Yoshida, Mitsuji Muneyasu
2020	J	`jnl`	Heterogeneous-Graph-Based Video Search Reranking Using Topic Relevance. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Soh Yoshida, Mitsuji Muneyasu, Takahiro Ogawa, Miki Haseyama
2020	—	`conf`	Learning from Noisy Labeled Data Using Symmetric Cross-Entropy Loss for Image Classification. GCCE Hiroshi Takeda, Soh Yoshida, Mitsuji Muneyasu
2019	—	`conf`	Data Retrieval from Printed Image Using Image Features and Data Embedding. ISPACS Takuhiro Nishikawa, Mitsuji Muneyasu, Yuuki Nishida, Soh Yoshida, Kosin Chamnongthai
2019	—	`conf`	Image Regularization with Morphological Gradient Priors Using Optimal Structuring Elements for Each Pixel. ISPACS Shoya Oohara, Hirotaka Oka, Mitsuji Muneyasu, Soh Yoshida, Makoto Nakashizuka
2019	J	`jnl`	Image Regularization with Total Variation and Optimized Morphological Gradient Priors. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Shoya Oohara, Mitsuji Muneyasu, Soh Yoshida, Makoto Nakashizuka
2019	—	`conf`	New Data Embedding and Detecting Method for Printed Image. GCCE Masashi Shiiba, Mitsuji Muneyasu, Soh Yoshida
2019	—	`conf`	Tag-based Video Retrieval with Social Tag Relevance Learning. GCCE Hiroshi Takeda, Soh Yoshida, Mitsuji Muneyasu
2019	J	`jnl`	Video Search Reranking with Relevance Feedback Using Visual and Textual Similarities. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Takamasa Fujii, Soh Yoshida, Mitsuji Muneyasu
2018	J	`jnl`	Graph-Based Video Search Reranking with Local and Global Consistency Analysis. IEICE Trans. Inf. Syst. Soh Yoshida, Takahiro Ogawa, Miki Haseyama, Mitsuji Muneyasu
2018	—	`conf`	Image Regularization Using Total Variation and Morphological Gradient Priors with Optimization of Structuring Element. ISPACS Shoya Oohara, Mitsuji Muneyasu, Soh Yoshida, Makoto Nakashizuka
2018	—	`conf`	Video Retrieval by Reranking and Relevance Feedback with Tag-Based Similarity. GCCE Takamasa Fujii, Soh Yoshida, Mitsuji Muneyasu
2017	J	`jnl`	Data Extraction Method from Printed Images with Different Formats. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Mitsuji Muneyasu, Nayuta Jinda, Yuuya Moritani, Soh Yoshida
2016	A	`conf`	Graph-based web video search reranking through consistency analysis using spectral clustering. ICME Soh Yoshida, Takahiro Ogawa, Miki Haseyama
2015	A*	`conf`	Heterogeneous Graph-based Video Search Reranking using Web Knowledge via Social Media Network. ACM Multimedia Soh Yoshida, Takahiro Ogawa, Miki Haseyama