Masayasu Atsumi

According to our database, Masayasu Atsumi authored at least 23 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Length-Based Curriculum Learning for Efficient Pre-training of Language Models.

Koichi Nagatsuka, Clifford Broni-Bediako, Masayasu Atsumi

New Gener. Comput., March, 2023

Introducing inductive bias on vision transformers through Gram matrix similarity based regularization.

Luiz Henrique Mormille, Clifford Broni-Bediako, Masayasu Atsumi

Artif. Life Robotics, February, 2023

2022

Searching for CNN Architectures for Remote Sensing Scene Classification.

Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille, Masayasu Atsumi

IEEE Trans. Geosci. Remote. Sens., 2022

Evolutionary NAS for aerial image segmentation with gene expression programming of cellular encoding.

Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille, Masayasu Atsumi

Neural Comput. Appl., 2022

Regularizing self-attention on vision transformers with 2D spatial distance loss.

Luiz Henrique Mormille, Clifford Broni-Bediako, Masayasu Atsumi

Artif. Life Robotics, 2022

Prediction and Analysis of Drug-Glycoprotein Interactions with Mutual Attention Neural Networks.

Eiji Shinkawa, Koichi Nagatsuka, Yuki Murata, Tamiko Ono, Masae Hosoda, Kiyoko F. Aoki-Kinoshita, Masayasu Atsumi

Proceedings of the Joint 12th International Conference on Soft Computing and Intelligent Systems and 23rd International Symposium on Advanced Intelligent Systems, 2022

2021

Pre-training a BERT with Curriculum Learning by Increasing Block-Size of Input Text.

Koichi Nagatsuka, Clifford Broni-Bediako, Masayasu Atsumi

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

2020

Evolutionary NAS with Gene Expression Programming of Cellular Encoding.

Clifford Broni-Bediako, Yuki Murata, Luiz Henrique Mormille, Masayasu Atsumi

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

2019

El Niño-Southern Oscillation forecasting using complex networks analysis of LSTM neural networks.

Clifford Broni-Bediako, Ferdinand Apietu Katsriku, Tatsuo Unemi, Masayasu Atsumi, Jamal-Deen Abdulai, Norihiko Shinomiya, Ebenezer Owusu

Artif. Life Robotics, 2019

2018

Paraphrase Identification for Twitter by Co-Training Based on Words and Characters.

Koichi Nagatsuka, Masayasu Atsumi

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Person Re-Identification for Mobile Robot using Online Transfer Learning.

Yuki Murata, Masayasu Atsumi

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Examination of How to Estimate the Viewing Angle at Intersections.

Shinichiro Goto, Yuki Murata, Masayasu Atsumi

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

2014

Learning Probabilistic Semantic Network of Object-Oriented Action and Activity.

Masayasu Atsumi

Proceedings of the Artificial Intelligence: Methodology, Systems, and Applications, 2014

2013

Object Categorization in Context Based on Probabilistic Learning of Classification Tree with Boosted Features and Co-occurrence Structure.

Masayasu Atsumi

Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

2012

Visual Categorization Based on Learning Contextual Probabilistic Latent Component Tree.

Masayasu Atsumi

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2010

Probabilistic Learning of Visual Object Composition from Attended Segments.

Masayasu Atsumi

Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Learning Visual Object Categories and Their Composition Based on a Probabilistic Latent Variable Model.

Masayasu Atsumi

Proceedings of the Neural Information Processing. Theory and Algorithms, 2010

2009

A Probabilistic Model of Visual Attention and Perceptual Organization for Constructive Object Recognition.

Masayasu Atsumi

Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

2008

Attention-Based Segmentation on an Image Pyramid Sequence.

Masayasu Atsumi

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2008

2005

Saliency-Driven Scene Learning and Recognition Based on Competitively Growing Neural Network Using Temporal Coding.

Masayasu Atsumi

J. Adv. Comput. Intell. Intell. Informatics, 2005

2004

Scene Memory on Competitively Growing Neural Network Using Temporal Coding: Self-organized Learning and Glance Recognizability.

Masayasu Atsumi

Proceedings of the Neural Information Processing, 11th International Conference, 2004

2003

Saliency-based scene recognition based on growing competitive neural network.

Masayasu Atsumi

Proceedings of the IEEE International Conference on Systems, 2003

2000

Simulator Complex for RoboCup Rescue Simulation Project - As Test-Bed for Multi-Agent Organizational Behavior in Emergency Case of Large-Scale Disaster.

Toshiyuki Kaneda, Fumitoshi Matsuno, Hironao Takahashi, Takeshi Matsui, Masayasu Atsumi, Michinori Hatayama, Kenji Tayama, Ryosuke Chiba, Kazunori Takeuchi

Proceedings of the RoboCup 2000: Robot Soccer World Cup IV, 2000