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2020 – today
- 2024
[c36]Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto, Jiro Katto:
SCP: Spherical-Coordinate-Based Learned Point Cloud Compression. AAAI 2024: 3954-3962- [c35]Tengfei Shao, Tianxiang Yang, Haoran Luo, Masayuki Goto, Shingo Takahashi:
A Study of AI Ethics Education in the Context of Japanese Job-Hunting Based on Case Method Using Network Analysis. CAIBDA 2024: 92-100 - [i5]Kosuke Sakurai, Tatsuya Ishii, Ryotaro Shimizu, Linxin Song, Masayuki Goto:
LARE: Latent Augmentation using Regional Embedding with Vision-Language Model. CoRR abs/2409.12597 (2024) - 2023
- [j10]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): 119167 (2023) - [j9]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): 2350004:1-2350004:19 (2023) - [j8]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: 110791 (2023) - [c34]Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto:
Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding. CVPR Workshops 2023: 3497-3502 - [i4]Ao Luo, Linxin Song, Keisuke Nonaka, Kyohei Unno, Heming Sun, Masayuki Goto, Jiro Katto:
SCP: Spherical-Coordinate-based Learned Point Cloud Compression. CoRR abs/2308.12535 (2023) - 2022
- [j7]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: 107970 (2022) - [j6]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): 18525-18541 (2022) - [j5]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): 18543-18544 (2022) - [c33]Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto:
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. EMNLP (Findings) 2022: 1641-1655 - [c32]Yuta Sakai, Yui Matsuoka, Masayuki Goto:
Purchasing Behavior Analysis Model that Considers the Relationship Between Topic Hierarchy and Item Categories. HCI (15) 2022: 344-358 - [c31]Ayako Yamagiwa, Masayuki Goto:
Evaluation of Analysis Model for Products with Coefficients of Binary Classifiers and Consideration of Way to Improve. HCI (15) 2022: 388-402 - [c30]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: 3053-3059 - [c29]Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa:
Learning and Estimation of Latent Structural Models Based on between-Data Metrics. SMC 2022: 3113-3118 - [c28]Gendo Kumoi, Hideki Yagi, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa:
Performance Evaluation of ECOC Considering Estimated Probability of Binary Classifiers. WorldCIST (2) 2022: 379-389 - [i3]Linxin Song, Jieyu Zhang, Tianxiang Yang, Masayuki Goto:
Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification. CoRR abs/2210.03092 (2022) - [i2]Ryotaro Shimizu, Masanari Kimura, Masayuki Goto:
Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding. CoRR abs/2210.17417 (2022) - [i1]Ryotaro Shimizu, Takuma Nakamura, Masayuki Goto:
Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning. CoRR abs/2211.06688 (2022) - 2021
- [c27]Fumiyo Ito, Gendo Kumoi, Masayuki Goto:
Time Window Topic Model for Analyzing Customer Browsing Behavior. IWCIA 2021: 1-8 - [c26]Aya Kitasato, Gendo Kumoi, Masayuki Goto:
A Study on New Product Recommendation Using Multi-Label CVAE for Fresh Flowers. IWCIA 2021: 1-7 - [c25]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 2021: 1-6 - 2020
- [j4]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): 2477-2489 (2020) - [c24]Gendo Kumoi, Masayuki Goto:
A Hypothesis Discovery Method for Predicting Change in Multidimensional Time-series Data. SMC 2020: 854-859
2010 – 2019
- 2019
- [c23]Masayuki Goto:
Latent Class Models on Business Analytics. BCD 2019: 142-147 - [c22]Tianxiang Yang, Haruka Yamashita, Masayuki Goto:
A Study on Analysis Methods of Latent Customer Purchase Behavior Focused on Membership Stage Growth. BCD 2019: 148-153 - [c21]Gendo Kumoi, Masayuki Goto:
Greedy Features Quantity Selection Method from Multivariate Time Series Data for Customer Classification. BCD 2019: 154-159 - [c20]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: 2893-2898 - [c19]Katsuyuki Umezawa, Makoto Nakazawa, Masayuki Goto, Shigeichi Hirasawa:
Development of Debugging Exercise Extraction System using Learning History. T4E 2019: 244-245 - 2018
- [c18]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: 695-696 - [c17]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: 909-919 - 2017
- [c16]Manabu Kobayashi, Kenta Mikawa, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa:
Collaborative Filtering Based on the Latent Class Model for Attributes. ICMLA 2017: 893-896 - [c15]Manabu Kobayashi, Kenta Mikawa, Masayuki Goto, Shigeichi Hirasawa:
Collaborative filtering analysis of consumption behavior based on the latent class model. SMC 2017: 1926-1931 - [c14]Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa:
Distance metric learning using each category centroid with nuclear norm regularization. SSCI 2017: 1-5 - 2016
- [c13]Masayuki Goto, Manabu Kobayashi, Kenta Mikawa, Shigeichi Hirasawa:
A Bayes prediction algorithm for model class composed of several subclasses. ISITA 2016: 121-125 - [c12]Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa:
Distance metric learning based on different ℓ1 regularized metric matrices in each category. ISITA 2016: 285-289 - 2015
- [c11]Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa:
A Study of Distance Metric Learning by Considering the Distances between Category Centroids. SMC 2015: 1645-1650 - 2014
- [c10]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: 262-264 - [c9]Masayuki Goto, Kazushi Minetoma, Kenta Mikawa, Manabu Kobayashi, Shigeichi Hirasawa:
A modified aspect model for simulation analysis. SMC 2014: 1306-1311 - [c8]Kenta Mikawa, Manabu Kobayashi, Masayuki Goto, Shigeichi Hirasawa:
A proposal of l1 regularized distance metric learning for high dimensional sparse vector space. SMC 2014: 1985-1990 - [c7]Manabu Kobayashi, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa:
Robustness of syndrome analysis method in highly structured fault-diagnosis systems. SMC 2014: 2757-2763 - 2013
- [c6]Masayuki Goto, Kenjiro Takemura:
Tactile bump display using electro-rheological fluid. IROS 2013: 4478-4483 - 2011
- [c5]Kenta Mikawa, Takashi Ishida, Masayuki Goto:
A proposal of extended cosine measure for distance metric learning in text classification. SMC 2011: 1741-1746 - 2010
- [c4]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: 106-111 - [c3]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: 3152-3159
2000 – 2009
- 2007
- [c2]Masayuki Goto, Takashi Ishida, Shigeichi Hirasawa:
Statistical Evaluation of Measure and Distance on Document Classification Problems in Text Mining. CIT 2007: 674-673 - 2006
- [j3]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. 89-A(12): 3710-3723 (2006) - 2003
- [j2]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. 86-A(10): 2517-2525 (2003) - [c1]Masayuki Goto, Takashi Ishida, Shigeichi Hirasawa:
Representation method for a set of documents from the viewpoint of Bayesian statistics. SMC 2003: 4637-4642 - 2001
- [j1]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): 927-944 (2001)
Coauthor Index
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