Masayuki Goto

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 32

Top Topics

Purchasing Behavior

Binary Classifiers

Metric Learning

Highly Structured

Top Venues

Knowl. Based Syst.

Publications

Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto, Jiro Katto
SCP: Spherical-Coordinate-Based Learned Point Cloud Compression. AAAI (2024)
Ryotaro Shimizu, Yuki Saito, Megumi Matsutani, Masayuki Goto
Fashion intelligence system: An outfit interpretation utilizing images and rich abstract tags. Expert Syst. Appl. 213 (Part) (2023)
Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto, Jiro Katto
SCP: Spherical-Coordinate-based Learned Point Cloud Compression. CoRR (2023)
Gendo Kumoi, Hideki Yagi, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa
Performance Evaluation of Error-Correcting Output Coding Based on Noisy and Noiseless Binary Classifiers. Int. J. Neural Syst. 33 (2) (2023)
Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto
Partial visual-semantic embedding: Fine-grained outfit image representation with massive volumes of tags via angular-based contrastive learning. Knowl. Based Syst. 277 (2023)
Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto
Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding. CVPR Workshops (2023)
Kyosuke Hasumoto, Masayuki Goto
Predicting customer churn for platform businesses: using latent variables of variational autoencoder as consumers' purchasing behavior. Neural Comput. Appl. 34 (21) (2022)
Ryotaro Shimizu, Megumi Matsutani, Masayuki Goto
An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information. Knowl. Based Syst. 239 (2022)
Kyosuke Hasumoto, Masayuki Goto
Correction to: Predicting customer churn for platform businesses: using latent variables of variational autoencoder as consumers' purchasing behavior. Neural Comput. Appl. 34 (21) (2022)
Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. CoRR (2022)
Gendo Kumoi, Hideki Yagi, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa
Performance Evaluation of ECOC Considering Estimated Probability of Binary Classifiers. WorldCIST (2) (2022)
Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa
Learning and Estimation of Latent Structural Models Based on between-Data Metrics. SMC (2022)
Shigeichi Hirasawa, Gendo Kumoi, Hideki Yagi, Manabu Kobayashi, Masayuki Goto, Hiroshige Inazumi
Construction Methods for Error Correcting Output Codes Using Constructive Coding and Their System Evaluations. SMC (2022)
Yuta Sakai, Yui Matsuoka, Masayuki Goto
Purchasing Behavior Analysis Model that Considers the Relationship Between Topic Hierarchy and Item Categories. HCI (15) (2022)
Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. EMNLP (Findings) (2022)
Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto
Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning. CoRR (2022)
Ayako Yamagiwa, Masayuki Goto
Evaluation of Analysis Model for Products with Coefficients of Binary Classifiers and Consideration of Way to Improve. HCI (15) (2022)
Ryotaro Shimizu, Masanari Kimura, Masayuki Goto
Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding. CoRR (2022)
Gendo Kumoi, Masayuki Goto
A Hypothesis Discovery Method for Predicting Change in Multidimensional Time-series Data. SMC (2020)
Sei Okayama, Haruka Yamashita, Kenta Mikawa, Masayuki Goto, Tomohiro Yoshikai
Relational analysis model of weather conditions and sales patterns based on nonnegative tensor factorization. Int. J. Prod. Res. 58 (8) (2020)
Gendo Kumoi, Masayuki Goto
Greedy Features Quantity Selection Method from Multivariate Time Series Data for Customer Classification. BCD (2019)
Shigeichi Hirasawa, Gendo Kumoi, Hideki Yagi, Manabu Kobayashi, Masayuki Goto, Tetsuya Sakai, Hiroshige Inazumi
System Evaluation of Ternary Error-Correcting Output Codes for Multiclass Classification Problems. SMC (2019)
Katsuyuki Umezawa, Makoto Nakazawa, Masayuki Goto, Shigeichi Hirasawa
Development of Debugging Exercise Extraction System using Learning History. T4E (2019)
Masayuki Goto
Latent Class Models on Business Analytics. BCD (2019)
Tianxiang Yang, Haruka Yamashita, Masayuki Goto
A Study on Analysis Methods of Latent Customer Purchase Behavior Focused on Membership Stage Growth. BCD (2019)
Yutsuki Miyashita, Atsuo Hazeyama, Hiroaki Hashiura, Masayuki Goto, Shigeichi Hirasawa
A Visualization System of the Contribution of Learners in Software Development PBL Using GitHub. APSEC (2018)
Shigeichi Hirasawa, Gendo Kumoi, Manabu Kobayashi, Masayuki Goto, Hiroshige Inazumi
System Evaluation of Construction Methods for Multi-class Problems Using Binary Classifiers. WorldCIST (2) (2018)
Manabu Kobayashi, Kenta Mikawa, Masayuki Goto, Shigeichi Hirasawa
Collaborative filtering analysis of consumption behavior based on the latent class model. SMC (2017)
Manabu Kobayashi, Kenta Mikawa, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa
Collaborative Filtering Based on the Latent Class Model for Attributes. ICMLA (2017)
Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa
Distance metric learning using each category centroid with nuclear norm regularization. SSCI (2017)
Masayuki Goto, Manabu Kobayashi, Kenta Mikawa, Shigeichi Hirasawa
A Bayes prediction algorithm for model class composed of several subclasses. ISITA (2016)
Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa
Distance metric learning based on different ℓ1 regularized metric matrices in each category. ISITA (2016)
Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa
A Study of Distance Metric Learning by Considering the Distances between Category Centroids. SMC (2015)
Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa
A proposal of l1 regularized distance metric learning for high dimensional sparse vector space. SMC (2014)
Masayuki Goto, Kazushi Minetoma, Kenta Mikawa, Manabu Kobayashi, Shigeichi Hirasawa
A modified aspect model for simulation analysis. SMC (2014)
Manabu Kobayashi, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa
Robustness of syndrome analysis method in highly structured fault-diagnosis systems. SMC (2014)
Masayuki Goto, Osamu Takyu, Takeo Fujii, Fumihito Sasamori, Shiro Handa
Protocol analysis of signal detection for deriving minimum isolation distance for frequency recycling under WLAN. RWS (2014)
Masayuki Goto, Kenjiro Takemura
Tactile bump display using electro-rheological fluid. IROS (2013)
Fuyu Saito, Haruka Yamashita, Hokuto Sasaki, Masayuki Goto
Machine Learning for Demand Prediction of Seasonal Second-hand Fashion Items Based on Prior and Fine-tuning Prediction Models. IWCIA (2012)
Aya Kitasato, Gendo Kumoi, Masayuki Goto
A Study on New Product Recommendation Using Multi-Label CVAE for Fresh Flowers. IWCIA (2012)
Fumiyo Ito, Gendo Kumoi, Masayuki Goto
Time Window Topic Model for Analyzing Customer Browsing Behavior. IWCIA (2012)
Kenta Mikawa, Takashi Ishida, Masayuki Goto
A proposal of extended cosine measure for distance metric learning in text classification. SMC (2011)
Makoto Suzuki, Naohide Yamagishi, Takashi Ishida, Masayuki Goto, Shigeichi Hirasawa
On a new model for automatic text categorization based on Vector Space Model. SMC (2010)
Makoto Suzuki, Naohide Yamagishi, Yi-Ching Tsai, Takashi Ishida, Masayuki Goto
English and Taiwanese text categorization using N-gram based on Vector Space Model. ISITA (2010)
Masayuki Goto, Takashi Ishida, Shigeichi Hirasawa
Statistical Evaluation of Measure and Distance on Document Classification Problems in Text Mining. CIT (2007)
Takashi Ishida, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa
Properties of a Word-Valued Source with a Non-prefix-free Word Set. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (12) (2006)
Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa
A Source Model with Probability Distribution over Word Set and Recurrence Time Theorem. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (10) (2003)
Masayuki Goto, Takashi Ishida, Shigeichi Hirasawa
Representation method for a set of documents from the viewpoint of Bayesian statistics. SMC (2003)
Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa
An analysis of the difference of code lengths between two-step codes based on MDL principle and Bayes codes. IEEE Trans. Inf. Theory 47 (3) (2001)