Keigo Kimura

CoRR, 2023

Partial Multi-label Learning with a Few Accurately Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Incomplete Multi-view Weak-Label Learning with Noisy Features and Imbalanced Labels.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

Multi-Label Personalized Classification via Exclusive Sparse Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Cross-Referencing Scheme to Ensure NFT and Platform Linkage Unaffected by Forking.

[BibT_eX]

[DOI]

Mitsuyoshi Imamura

Kazumasa Omote

Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, 2023

Structured Sparse Multi-Task Learning with Generalized Group Lasso.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Kernelized Supervised Laplacian Eigenmap for Visualization and Classification of Multi-Label Data.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Realization of Autoencoders by Kernel Methods.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Efficient Leave-One-Out Evaluation of Kernelized Implicit Mappings.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Retargeted Regression Methods for Multi-label Learning.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2022

Sensor Data Simulation with Wandering Behavior for the Elderly Living Alone.

[BibT_eX]

[DOI]

Kai Tanaka

Proceedings of the 26th International Conference on Pattern Recognition, 2022

A Distributed Authenticity Verification Scheme Using Deep Learning for NFT Market.

[BibT_eX]

[DOI]

Mitsuyoshi Imamura

Kazumasa Omote

Proceedings of the 2022 5th International Conference on Blockchain Technology and Applications, 2022

2021

Risk Analysis for Abusing Blockchain Poisoning.

[BibT_eX]

[DOI]

Kazumasa Omote

Proceedings of the 3rd Conference on Blockchain Research & Applications for Innovative Networks and Services, 2021

2019

Data Transfer Methods for Information-Centric Networking-Based Wireless Sensor Network Platform.

[BibT_eX]

[DOI]

Proceedings of the 33rd International Conference on Information Networking, 2019

2017

READER: Robust Semi-Supervised Multi-Label Dimension Reduction.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2017

MLC Toolbox: A MATLAB/OCTAVE Library for Multi-Label Classification.

[BibT_eX]

[DOI]

CoRR, 2017

2016

A column-wise update algorithm for nonnegative matrix factorization in Bregman divergence with an orthogonal constraint.

[BibT_eX]

[DOI]

Yuzuru Tanaka

Mach. Learn., 2016

Simultaneous Nonlinear Label-Instance Embedding for Multi-label Classification.

[BibT_eX]

[DOI]

Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2016

Multi-label classification with meta-label-specific features.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Locality in multi-label classification problems.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Simultaneous visualization of samples, features and multi-labels.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Fast random k-labELsets for large-scale multi-label classification.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

A Scalable Clustering-Based Local Multi-Label Classification Method.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

2015

Variable Selection for Efficient Nonnegative Tensor Factorization.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Factorization.

[BibT_eX]

[DOI]

Yuzuru Tanaka

Proceedings of the Sixth Asian Conference on Machine Learning, 2014

2011

Topic graph based transfer learning via generalized KL divergence based NMF.

[BibT_eX]

[DOI]

Tetsuya Yoshida

Proceedings of the 2011 IEEE International Conference on Granular Computing, 2011

Non-negative Matrix Factorization with sparse features.

[BibT_eX]

[DOI]