An analysis of the difference of code lengths between two-step codes based on MDL principle and Bayes codes. - Masayuki Goto; Toshiyasu Matsushima; Shigeichi Hirasawa (IEEE Trans. Inf. Theory, 2001)

Representation method for a set of documents from the viewpoint of Bayesian statistics. - Masayuki Goto; Takashi Ishida 004; Shigeichi Hirasawa (SMC, 2003)

A Source Model with Probability Distribution over Word Set and Recurrence Time Theorem. - Masayuki Goto; Toshiyasu Matsushima; Shigeichi Hirasawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003)

Properties of a Word-Valued Source with a Non-prefix-free Word Set. - Takashi Ishida 004; Masayuki Goto; Toshiyasu Matsushima; Shigeichi Hirasawa (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006)

Statistical Evaluation of Measure and Distance on Document Classification Problems in Text Mining. - Masayuki Goto; Takashi Ishida 004; Shigeichi Hirasawa (CIT, 2007)

English and Taiwanese text categorization using N-gram based on Vector Space Model. - Makoto Suzuki; Naohide Yamagishi; Yi-Ching Tsai; Takashi Ishida 004; Masayuki Goto (ISITA, 2010)

On a new model for automatic text categorization based on Vector Space Model. - Makoto Suzuki; Naohide Yamagishi; Takashi Ishida 004; Masayuki Goto; Shigeichi Hirasawa (SMC, 2010)

A proposal of extended cosine measure for distance metric learning in text classification. - Kenta Mikawa; Takashi Ishida 004; Masayuki Goto (SMC, 2011)

Tactile bump display using electro-rheological fluid. - Masayuki Goto; Kenjiro Takemura (IROS, 2013)

Protocol analysis of signal detection for deriving minimum isolation distance for frequency recycling under WLAN. - Masayuki Goto; Osamu Takyu; Takeo Fujii; Fumihito Sasamori; Shiro Handa (RWS, 2014)

A modified aspect model for simulation analysis. - Masayuki Goto; Kazushi Minetoma; Kenta Mikawa; Manabu Kobayashi; Shigeichi Hirasawa (SMC, 2014)

Robustness of syndrome analysis method in highly structured fault-diagnosis systems. - Manabu Kobayashi; Masayuki Goto; Toshiyasu Matsushima; Shigeichi Hirasawa (SMC, 2014)

A proposal of l1 regularized distance metric learning for high dimensional sparse vector space. - Kenta Mikawa; Manabu Kobayashi; Masayuki Goto; Shigeichi Hirasawa (SMC, 2014)

A Study of Distance Metric Learning by Considering the Distances between Category Centroids. - Kenta Mikawa; Manabu Kobayashi; Masayuki Goto; Shigeichi Hirasawa (SMC, 2015)

A Bayes prediction algorithm for model class composed of several subclasses. - Masayuki Goto; Manabu Kobayashi; Kenta Mikawa; Shigeichi Hirasawa (ISITA, 2016)

Distance metric learning based on different ℓ1 regularized metric matrices in each category. - Kenta Mikawa; Manabu Kobayashi; Masayuki Goto; Shigeichi Hirasawa (ISITA, 2016)

Collaborative Filtering Based on the Latent Class Model for Attributes. - Manabu Kobayashi; Kenta Mikawa; Masayuki Goto; Toshiyasu Matsushima; Shigeichi Hirasawa (ICMLA, 2017)

Collaborative filtering analysis of consumption behavior based on the latent class model. - Manabu Kobayashi; Kenta Mikawa; Masayuki Goto; Shigeichi Hirasawa (SMC, 2017)

Distance metric learning using each category centroid with nuclear norm regularization. - Kenta Mikawa; Manabu Kobayashi; Masayuki Goto; Shigeichi Hirasawa (SSCI, 2017)

A Visualization System of the Contribution of Learners in Software Development PBL Using GitHub. - Yutsuki Miyashita; Atsuo Hazeyama; Hiroaki Hashiura; Masayuki Goto; Shigeichi Hirasawa (APSEC, 2018)

System Evaluation of Construction Methods for Multi-class Problems Using Binary Classifiers. - Shigeichi Hirasawa; Gendo Kumoi; Manabu Kobayashi; Masayuki Goto; Hiroshige Inazumi (WorldCIST (2), 2018)

Latent Class Models on Business Analytics. - Masayuki Goto (BCD, 2019)

Greedy Features Quantity Selection Method from Multivariate Time Series Data for Customer Classification. - Gendo Kumoi; Masayuki Goto (BCD, 2019)

A Study on Analysis Methods of Latent Customer Purchase Behavior Focused on Membership Stage Growth. - Tianxiang Yang; Haruka Yamashita; Masayuki Goto (BCD, 2019)

System Evaluation of Ternary Error-Correcting Output Codes for Multiclass Classification Problems. - Shigeichi Hirasawa; Gendo Kumoi; Hideki Yagi; Manabu Kobayashi; Masayuki Goto; Tetsuya Sakai; Hiroshige Inazumi (SMC, 2019)

Development of Debugging Exercise Extraction System using Learning History. - Katsuyuki Umezawa; Makoto Nakazawa; Masayuki Goto; Shigeichi Hirasawa (T4E, 2019)

A Hypothesis Discovery Method for Predicting Change in Multidimensional Time-series Data. - Gendo Kumoi; Masayuki Goto (SMC, 2020)

Relational analysis model of weather conditions and sales patterns based on nonnegative tensor factorization. - Sei Okayama; Haruka Yamashita; Kenta Mikawa; Masayuki Goto; Tomohiro Yoshikai (Int. J. Prod. Res., 2020)

Time Window Topic Model for Analyzing Customer Browsing Behavior. - Fumiyo Ito; Gendo Kumoi; Masayuki Goto (IWCIA, 2021)

A Study on New Product Recommendation Using Multi-Label CVAE for Fresh Flowers. - Aya Kitasato; Gendo Kumoi; Masayuki Goto (IWCIA, 2021)

Machine Learning for Demand Prediction of Seasonal Second-hand Fashion Items Based on Prior and Fine-tuning Prediction Models. - Fuyu Saito; Haruka Yamashita; Hokuto Sasaki; Masayuki Goto (IWCIA, 2021)

Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. - Linxin Song; Jieyu Zhang; Tianxiang Yang; Masayuki Goto (EMNLP (Findings), 2022)

Purchasing Behavior Analysis Model that Considers the Relationship Between Topic Hierarchy and Item Categories. - Yuta Sakai; Yui Matsuoka; Masayuki Goto (HCI (15), 2022)

Evaluation of Analysis Model for Products with Coefficients of Binary Classifiers and Consideration of Way to Improve. - Ayako Yamagiwa; Masayuki Goto (HCI (15), 2022)

Construction Methods for Error Correcting Output Codes Using Constructive Coding and Their System Evaluations. - Shigeichi Hirasawa; Gendo Kumoi; Hideki Yagi; Manabu Kobayashi; Masayuki Goto; Hiroshige Inazumi (SMC, 2022)

Learning and Estimation of Latent Structural Models Based on between-Data Metrics. - Kenta Mikawa; Manabu Kobayashi; Masayuki Goto; Shigeichi Hirasawa (SMC, 2022)

Performance Evaluation of ECOC Considering Estimated Probability of Binary Classifiers. - Gendo Kumoi; Hideki Yagi; Manabu Kobayashi; Masayuki Goto; Shigeichi Hirasawa (WorldCIST (2), 2022)

Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding. - Ryotaro Shimizu; Masanari Kimura; Masayuki Goto (CoRR, 2022)

Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning. - Ryotaro Shimizu; Takuma Nakamura; Masayuki Goto (CoRR, 2022)

An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information. - Ryotaro Shimizu; Megumi Matsutani; Masayuki Goto (Knowl. Based Syst., 2022)

Predicting customer churn for platform businesses: using latent variables of variational autoencoder as consumers' purchasing behavior. - Kyosuke Hasumoto; Masayuki Goto (Neural Comput. Appl., 2022)

Correction to: Predicting customer churn for platform businesses: using latent variables of variational autoencoder as consumers' purchasing behavior. - Kyosuke Hasumoto; Masayuki Goto (Neural Comput. Appl., 2022)

Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding. - Ryotaro Shimizu; Takuma Nakamura; Masayuki Goto (CVPR Workshops, 2023)

Fashion intelligence system: An outfit interpretation utilizing images and rich abstract tags. - Ryotaro Shimizu; Yuki Saito 002; Megumi Matsutani; Masayuki Goto (Expert Syst. Appl., 2023)

Performance Evaluation of Error-Correcting Output Coding Based on Noisy and Noiseless Binary Classifiers. - Gendo Kumoi; Hideki Yagi; Manabu Kobayashi; Masayuki Goto; Shigeichi Hirasawa (Int. J. Neural Syst., 2023)

Partial visual-semantic embedding: Fine-grained outfit image representation with massive volumes of tags via angular-based contrastive learning. - Ryotaro Shimizu; Takuma Nakamura; Masayuki Goto (Knowl. Based Syst., 2023)

SCP: Spherical-Coordinate-Based Learned Point Cloud Compression. - Ao Luo; Linxin Song; Keisuke Nonaka; Kyohei Unno; Heming Sun; Masayuki Goto; Jiro Katto (AAAI, 2024)

A Study of AI Ethics Education in the Context of Japanese Job-Hunting Based on Case Method Using Network Analysis. - Tengfei Shao; Tianxiang Yang; Haoran Luo; Masayuki Goto; Shingo Takahashi (CAIBDA, 2024)

LARE: Latent Augmentation using Regional Embedding with Vision-Language Model. - Kosuke Sakurai; Tatsuya Ishii; Ryotaro Shimizu; Linxin Song; Masayuki Goto (CoRR, 2024)

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation. - Ryotaro Shimizu; Takashi Wada 001; Yu Wang 170; Johannes Kruse 002; Sean O'Brien; Sai Htaung Kham; Linxin Song; Yuya Yoshikawa; Yuki Saito 002; Fugee Tsung; Masayuki Goto; Julian J. McAuley (WWW, 2025)

LLMOverTab: Tabular data augmentation with language model-driven oversampling. - Tokimasa Isomura; Ryotaro Shimizu; Masayuki Goto (Expert Syst. Appl., 2025)

Generating realistic synthetic tabular data with integrated LLM and diffusion models. - Tokimasa Isomura; Ryotaro Shimizu; Masayuki Goto (Neurocomputing, 2025)

Sparse attention is all you need for pre-training on tabular data. - Tokimasa Isomura; Ryotaro Shimizu; Masayuki Goto (Neural Comput. Appl., 2025)

Vision and Language Reference Prompt into SAM for Few-shot Segmentation. - Kosuke Sakurai; Ryotaro Shimizu; Masayuki Goto (CoRR, 2025)

Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification. - Shijian Wang; Linxin Song; Ryotaro Shimizu; Masayuki Goto; Hanqian Wu (CoRR, 2025)

Impression evaluation of product images using deep neural network. - Ayako Yamagiwa; Masayuki Goto (Neural Comput. Appl., 2025)