Kazunori Yamada - My portal

Profile Information

Affiliation: Professor, Unprecedented-scale Data Analytics Center, Tohoku University

Degree: Doctor of Philosophy(Sep, 2012, The University of Tokyo)

J-GLOBAL ID: 201601008186516723
researchmap Member ID: 7000017790

External link: https://yamada-lab.gr.jp/

Research Interests

Research Areas

Papers

Question generation for English reading comprehension exercises using Transformers

Maas A, Yamada KD, Nagahama T, Kawada T, Horita T

Letters on Informatics and Interdisciplinary Research, 2024 Peer-reviewed
InfoCD: A contrastive chamfer distance loss for point cloud completion

Lin F, Yue Y, Zhang Z, Hou S, Yamada KD, Kolachalama VB, Saligrama V

Advances in Neural Information Processing Systems, 2023 Peer-reviewed
Hyperbolic chamfer distance for point cloud completion

Lin F, Yue Y, Hou S, Yu X, Xu Y, Yamada KD, Zhang Z

International Conference on Computer Vision, 2023 Peer-reviewed
Serum fatty acid composition balance by fuzzy c-means method in individuals with or without metabolic dysfunction-associated fatty liver disease

Nagase Y, Satoh T, Shigetome K, Tokumaru N, Matsumoto E, Yamada KD, Imafuku T, Watanabe H, Maruyama T, Ogata Y …

Nutrients, 15(4) 809-809, 2023 Peer-reviewed
Identifying latent traits of questions for controllable machine generation

Maas A, Kawada T, Yamada K, Nagahama T, Horita T

EdMedia + Innovate Learning, 2022 Peer-reviewed
Redox imaging of dextran sodium sulfate-induced colitis mice treated with nitric oxide synthase inhibitors

Yasukawa K, Yamada K, Tokuda H, Koyama S, Utsumi H

Advances in Redox Research, 6 100047-100047, 2022 Peer-reviewed
Relation is an option for processing context information

Yamada KD, Baladram MS, Lin F

Frontiers in Artificial Intelligence, 5, 2022 Peer-reviewedLead authorCorresponding author
Cosmos Propagation Network: Deep learning model for point cloud completion

Lin F, Xu Y, Zhang Z, Gao C, Yamada KD

Neurocomputing, 507 221-234, 2022 Peer-reviewedLast authorCorresponding author
Progress in research on implementing machine consciousness

Yamada KD, Baladram MS, Lin F

Interdisciplinary Information Sciences, 28(1) 95-105, 2022 Peer-reviewedLead authorCorresponding author
An effective convolutional neural network for visualized understanding transboundary air pollution based on Himawari-8 satellite images

Lin F, Gao C, Yamada KD

IEEE Geoscience and Remote Sensing Letters, 19 1-5, 2022 Peer-reviewedLast authorCorresponding author
Developing a novel recurrent neural network architecture with fewer parameters and good learning performance

Yamada KD, Lin F, Nakamura T

Interdisciplinary Information Sciences, 27(1) 25-40, 2021 Peer-reviewedLead authorCorresponding author
Introduction to supervised machine learning for data science

Baladram MS, Koike A, Yamada KD

Interdisciplinary Information Sciences, 26(1) 87-121, 2020 Peer-reviewedLast authorCorresponding author
In vivo redox imaging of dextran sodium sulfate-induced colitis in mice using Overhauser-enhanced magnetic resonance imaging

Yasukawa K, Hirago A, Yamada K, Tun X, Ohkuma K, Utsumi H

Free Radical Biology and Medicine, 136 1-11, 2019 Peer-reviewed
MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization

Katoh K, Rozewicki J, Yamada KD

Briefings in Bioinformatics, 20(4) 1160-1166, 2019 Peer-reviewed
De novo profile generation based on sequence context specificity with the long short-term memory network

Yamada KD, Kinoshita K

BMC Bioinformatics, 2018 Peer-reviewedLead author
Parallelization of MAFFT for large-scale multiple sequence alignments

Nakamura T, Yamada KD, Tomii K, Katoh K

Bioinformatics, 34(14) 2490-2492, 2018 Peer-reviewed
Derivative-free neural network for optimizing the scoring functions associated with dynamic programming of pairwise-profile alignment

Yamada KD

Algorithms for molecular biology, 2018 Peer-reviewedLead authorLast authorCorresponding author
Designing better diffracting crystals of biotin carboxyl carrier protein from Pyrococcus horikoshii by a mutation based on crystal-packing propensity of amino acids

Yamada KD, Kunishima N, Matsuura Y, Nakai K, Naitow H, Fukasawa Y, Tomii K

Acta Crystallographica Section D, 73(Pt 9) 757-766, 2017 Peer-reviewedLead author
Identification of the sequence determinants of protein N-terminal acetylation through a decision tree approach

Yamada KD, Omori S, Nish H, Miyagi M

BMC Bioinformatics, 18(1) 289-289, 2017 Peer-reviewedLead authorCorresponding author
Protein sequence-similarity search acceleration using a heuristic algorithm with a sensitive matrix

Lim K, Yamada KD, Frith MC, Tomii K

Journal of Structural and Functional Genomics, 17(4) 147-154, 2016 Peer-reviewed

Research Projects

人工知能で目指すアミノ酸配列類似性検索法の高速化および高感度化研究

Apr, 2018 - Mar, 2020

山田和範
MAFFT多重アラインメントプログラムの大量配列データへの対応と機能拡張

Apr, 2016 - Mar, 2020

加藤和貴