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ORCIDMasayasu Atsumi
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2020 – today
- 2023
[j7]Luiz Henrique Mormille, Clifford Broni-Bediako, Masayasu Atsumi:
Introducing inductive bias on vision transformers through Gram matrix similarity based regularization. Artif. Life Robotics 28(1): 106-116 (2023)- [j6]Koichi Nagatsuka
, Clifford Broni-Bediako, Masayasu Atsumi:
Length-Based Curriculum Learning for Efficient Pre-training of Language Models. New Gener. Comput. 41(1): 109-134 (2023) - 2022
- [j5]Luiz Henrique Mormille, Clifford Broni-Bediako, Masayasu Atsumi:
Regularizing self-attention on vision transformers with 2D spatial distance loss. Artif. Life Robotics 27(3): 586-593 (2022) - [j4]Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille, Masayasu Atsumi:
Evolutionary NAS for aerial image segmentation with gene expression programming of cellular encoding. Neural Comput. Appl. 34(17): 14185-14204 (2022) - [j3]Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille, Masayasu Atsumi:
Searching for CNN Architectures for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [c17]Eiji Shinkawa, Koichi Nagatsuka, Yuki Murata, Tamiko Ono, Masae Hosoda, Kiyoko F. Aoki-Kinoshita, Masayasu Atsumi:
Prediction and Analysis of Drug-Glycoprotein Interactions with Mutual Attention Neural Networks. SCIS/ISIS 2022: 1-5 - 2021
- [c16]Koichi Nagatsuka, Clifford Broni-Bediako, Masayasu Atsumi:
Pre-training a BERT with Curriculum Learning by Increasing Block-Size of Input Text. RANLP 2021: 989-996 - 2020
- [c15]Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille, Masayasu Atsumi:
Evolutionary NAS with Gene Expression Programming of Cellular Encoding. SSCI 2020: 2670-2676 - [i1]Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille, Masayasu Atsumi:
Evolutionary NAS with Gene Expression Programming of Cellular Encoding. CoRR abs/2005.13110 (2020)
2010 – 2019
- 2019
- [j2]Clifford Broni-Bediako, Ferdinand Apietu Katsriku, Tatsuo Unemi, Masayasu Atsumi, Jamal-Deen Abdulai, Norihiko Shinomiya, Ebenezer Owusu:
El Niño-Southern Oscillation forecasting using complex networks analysis of LSTM neural networks. Artif. Life Robotics 24(4): 445-451 (2019) - 2018
- [c14]Shinichiro Goto, Yuki Murata, Masayasu Atsumi:
Examination of How to Estimate the Viewing Angle at Intersections. SCIS&ISIS 2018: 729-733 - [c13]Yuki Murata, Masayasu Atsumi:
Person Re-Identification for Mobile Robot using Online Transfer Learning. SCIS&ISIS 2018: 977-981 - [c12]Koichi Nagatsuka, Masayasu Atsumi:
Paraphrase Identification for Twitter by Co-Training Based on Words and Characters. SCIS&ISIS 2018: 1448-1452 - 2014
- [c11]Masayasu Atsumi:
Learning Probabilistic Semantic Network of Object-Oriented Action and Activity. AIMSA 2014: 1-12 - 2013
- [c10]Masayasu Atsumi:
Object Categorization in Context Based on Probabilistic Learning of Classification Tree with Boosted Features and Co-occurrence Structure. ISVC (1) 2013: 416-426 - 2012
- [c9]Masayasu Atsumi:
Visual Categorization Based on Learning Contextual Probabilistic Latent Component Tree. ICANN (1) 2012: 419-426 - 2010
- [c8]Masayasu Atsumi:
Learning Visual Object Categories and Their Composition Based on a Probabilistic Latent Variable Model. ICONIP (1) 2010: 247-254 - [c7]Masayasu Atsumi:
Probabilistic Learning of Visual Object Composition from Attended Segments. ISVC (2) 2010: 696-705
2000 – 2009
- 2009
- [c6]Masayasu Atsumi:
A Probabilistic Model of Visual Attention and Perceptual Organization for Constructive Object Recognition. ISVC (2) 2009: 778-787 - 2008
- [c5]Masayasu Atsumi:
Attention-Based Segmentation on an Image Pyramid Sequence. ACIVS 2008: 625-636 - 2005
- [j1]Masayasu Atsumi:
Saliency-Driven Scene Learning and Recognition Based on Competitively Growing Neural Network Using Temporal Coding. J. Adv. Comput. Intell. Intell. Informatics 9(3): 235-243 (2005) - 2004
- [c4]Masayasu Atsumi:
Scene Memory on Competitively Growing Neural Network Using Temporal Coding: Self-organized Learning and Glance Recognizability. ICONIP 2004: 393-398 - [c3]Masayasu Atsumi:
Scene learning and glance recognizability based on competitively growing spiking neural network. IJCNN 2004: 2859-2864 - 2003
- [c2]Masayasu Atsumi:
Saliency-based scene recognition based on growing competitive neural network. SMC 2003: 2863-2870 - 2000
- [c1]Toshiyuki Kaneda, Fumitoshi Matsuno, Hironao Takahashi, Takeshi Matsui, Masayasu Atsumi, Michinori Hatayama, Kenji Tayama, Ryosuke Chiba, Kazunori Takeuchi:
Simulator Complex for RoboCup Rescue Simulation Project - As Test-Bed for Multi-Agent Organizational Behavior in Emergency Case of Large-Scale Disaster. RoboCup 2000: 321-326
Coauthor Index
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