Masayuki Goto

Orcid: 0000-0003-1929-9359

According to our database1, Masayuki Goto authored at least 49 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
LARE: Latent Augmentation using Regional Embedding with Vision-Language Model.
CoRR, 2024

A Study of AI Ethics Education in the Context of Japanese Job-Hunting Based on Case Method Using Network Analysis.
Proceedings of the 2024 4th International Conference on Artificial Intelligence, 2024

SCP: Spherical-Coordinate-Based Learned Point Cloud Compression.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Partial visual-semantic embedding: Fine-grained outfit image representation with massive volumes of tags via angular-based contrastive learning.
Knowl. Based Syst., October, 2023

Performance Evaluation of Error-Correcting Output Coding Based on Noisy and Noiseless Binary Classifiers.
Int. J. Neural Syst., February, 2023

Fashion intelligence system: An outfit interpretation utilizing images and rich abstract tags.
Expert Syst. Appl., 2023

Fashion-Specific Ambiguous Expression Interpretation with Partial Visual-Semantic Embedding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Correction to: Predicting customer churn for platform businesses: using latent variables of variational autoencoder as consumers' purchasing behavior.
Neural Comput. Appl., 2022

Predicting customer churn for platform businesses: using latent variables of variational autoencoder as consumers' purchasing behavior.
Neural Comput. Appl., 2022

An explainable recommendation framework based on an improved knowledge graph attention network with massive volumes of side information.
Knowl. Based Syst., 2022

Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning.
CoRR, 2022

Fashion-Specific Attributes Interpretation via Dual Gaussian Visual-Semantic Embedding.
CoRR, 2022

Performance Evaluation of ECOC Considering Estimated Probability of Binary Classifiers.
Proceedings of the Information Systems and Technologies, 2022

Learning and Estimation of Latent Structural Models Based on between-Data Metrics.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Construction Methods for Error Correcting Output Codes Using Constructive Coding and Their System Evaluations.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Evaluation of Analysis Model for Products with Coefficients of Binary Classifiers and Consideration of Way to Improve.
Proceedings of the Social Computing and Social Media: Applications in Education and Commerce, 2022

Purchasing Behavior Analysis Model that Considers the Relationship Between Topic Hierarchy and Item Categories.
Proceedings of the Social Computing and Social Media: Applications in Education and Commerce, 2022

Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Machine Learning for Demand Prediction of Seasonal Second-hand Fashion Items Based on Prior and Fine-tuning Prediction Models.
Proceedings of the 12th IEEE International Workshop on Computational Intelligence and Applications, 2021

A Study on New Product Recommendation Using Multi-Label CVAE for Fresh Flowers.
Proceedings of the 12th IEEE International Workshop on Computational Intelligence and Applications, 2021

Time Window Topic Model for Analyzing Customer Browsing Behavior.
Proceedings of the 12th IEEE International Workshop on Computational Intelligence and Applications, 2021

2020
Relational analysis model of weather conditions and sales patterns based on nonnegative tensor factorization.
Int. J. Prod. Res., 2020

A Hypothesis Discovery Method for Predicting Change in Multidimensional Time-series Data.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
Development of Debugging Exercise Extraction System using Learning History.
Proceedings of the Tenth IEEE International Conference on Technology for Education, 2019

System Evaluation of Ternary Error-Correcting Output Codes for Multiclass Classification Problems.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A Study on Analysis Methods of Latent Customer Purchase Behavior Focused on Membership Stage Growth.
Proceedings of the 2019 IEEE International Conference on Big Data, 2019

Greedy Features Quantity Selection Method from Multivariate Time Series Data for Customer Classification.
Proceedings of the 2019 IEEE International Conference on Big Data, 2019

Latent Class Models on Business Analytics.
Proceedings of the 2019 IEEE International Conference on Big Data, 2019

2018
System Evaluation of Construction Methods for Multi-class Problems Using Binary Classifiers.
Proceedings of the Trends and Advances in Information Systems and Technologies, 2018

A Visualization System of the Contribution of Learners in Software Development PBL Using GitHub.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017
Distance metric learning using each category centroid with nuclear norm regularization.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Collaborative filtering analysis of consumption behavior based on the latent class model.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Collaborative Filtering Based on the Latent Class Model for Attributes.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016
Distance metric learning based on different ℓ1 regularized metric matrices in each category.
Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016

A Bayes prediction algorithm for model class composed of several subclasses.
Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016

2015
A Study of Distance Metric Learning by Considering the Distances between Category Centroids.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
A proposal of l1 regularized distance metric learning for high dimensional sparse vector space.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Robustness of syndrome analysis method in highly structured fault-diagnosis systems.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

A modified aspect model for simulation analysis.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Protocol analysis of signal detection for deriving minimum isolation distance for frequency recycling under WLAN.
Proceedings of the 2014 IEEE Radio and Wireless Symposium, 2014

2013
Tactile bump display using electro-rheological fluid.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

2011
A proposal of extended cosine measure for distance metric learning in text classification.
Proceedings of the IEEE International Conference on Systems, 2011

2010
On a new model for automatic text categorization based on Vector Space Model.
Proceedings of the IEEE International Conference on Systems, 2010

English and Taiwanese text categorization using N-gram based on Vector Space Model.
Proceedings of the International Symposium on Information Theory and its Applications, 2010

2007
Statistical Evaluation of Measure and Distance on Document Classification Problems in Text Mining.
Proceedings of the Seventh International Conference on Computer and Information Technology (CIT 2007), 2007

2006
Properties of a Word-Valued Source with a Non-prefix-free Word Set.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006

2003
A Source Model with Probability Distribution over Word Set and Recurrence Time Theorem.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003

Representation method for a set of documents from the viewpoint of Bayesian statistics.
Proceedings of the IEEE International Conference on Systems, 2003

2001
An analysis of the difference of code lengths between two-step codes based on MDL principle and Bayes codes.
IEEE Trans. Inf. Theory, 2001


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