Akinori Asahara

33 papers A* 1B 5C 3Journal 6Unranked 18

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Variational Bayes Decomposition for Inverse Estimation with Superimposed Multispectral Intensity. CoRR Akinori Asahara, Yoshihiro Osakabe, Yamamoto Mitsuya, Hidekazu Morita
2023	J	`jnl`	Proposing Novel Extrapolative Compounds by Nested Variational Autoencoders. CoRR Yoshihiro Osakabe, Akinori Asahara
2023	J	`jnl`	QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting. CoRR Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara
2023	J	`jnl`	QUBO-inspired Molecular Fingerprint for Chemical Property Prediction. CoRR Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara
2022	B	`conf`	Interactive Support System for Idea Divergence-Convergence Iteration. IEEE Big Data Akinori Asahara, Yoshihiro Osakabe, Karin Tsuda, Hidekazu Morita
2022	C	`conf`	Proposing Novel High-Performance Compounds by Nested VAEs Trained Independently on Different Datasets. IEA/AIE Yoshihiro Osakabe, Akinori Asahara
2022	—	`conf`	QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting. ICKG Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara
2022	B	`conf`	QUBO-inspired Molecular Fingerprint for Chemical Property Prediction. IEEE Big Data Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara
2021	—	`conf`	Bayesian-Inference-based Inverse Estimation of Small Angle Scattering. AAAI Spring Symposium: MLPS Akinori Asahara, Hidekazu Morita, Kanta Ono, Masao Yano, Chiharu Mitsumata, Tetsuya Shoji, Kotaro Saito
2021	—	`conf`	MatVAE: Independently Trained Nested Variational Autoencoder for Generating Chemical Structural Formula. AAAI Spring Symposium: MLPS Yoshihiro Osakabe, Akinori Asahara
2020	—	`conf`	EM-algorithm Enpowers Material Science: Application of Inverse Estimation for Small Angle Scattering. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) Akinori Asahara, Hidekazu Morita, Kanta Ono, Masao Yano, Tetsuya Shoji, Kotaro Saito, Chiharu Mitsumata
2020	—	`conf`	Hitachi Materials Informatics Analytics Platform Assisting Rapid Development. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) Yoshihiro Osakabe, Akinori Asahara, Hidekazu Morita
2020	—	`conf`	Machine-learning-based People-flow Simulation for Facility Layout Planning. IEEE BigData Satoshi Kuwamoto, Yu Kitano, Akinori Asahara
2019	J	`jnl`	Accelerating small-angle scattering experiments with simulation-based machine learning. CoRR Takuya Kanazawa, Akinori Asahara, Hidekazu Morita
2019	A*	`conf`	Early-Stopping of Scattering Pattern Observation with Bayesian Modeling. AAAI Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata, Kanta Ono, Masao Yano, Tetsuya Shoji
2019	—	`conf`	OD-network-based Pedestrian-path Prediction for People-flow Simulation. IEEE BigData Yu Kitano, Satoshi Kuwamoto, Akinori Asahara
2017	C	`conf`	Decomposition of pedestrian flow heatmap obtained with monitor-based tracking. IPIN Akinori Asahara
2017	—	`conf`	Quantity Distribution Search using Sparse Representation Generated with Kernel-based Regression. GISTAM Akinori Asahara, Hideki Hayashi
2017	—	`conf`	Stream Geo-location Data Processing for Detecting Rescuers in a Large-scale Disaster. EM-GIS Hideki Hayashi, Yuichi Ogawa, Natsuko Sugaya, Akinori Asahara, Hitoshi Tomita
2016	—	`conf`	Composition of simulation data for large-scale disaster estimation. EM-GIS Hideki Hayashi, Akinori Asahara, Natsuko Sugaya, Yuichi Ogawa, Hitoshi Tomita
2016	—	`conf`	Real-time people movement estimation in large disasters from several kinds of mobile phone data. UbiComp Adjunct Yoshihide Sekimoto, Akihito Sudo, Takehiro Kashiyama, Toshikazu Seto, Hideki Hayashi, Akinori Asahara, Hiroki Ishizuka, Satoshi Nishiyama
2015	—	`conf`	International standard "OGC® moving features" to address "4Vs" on locational bigdata. IEEE BigData Akinori Asahara, Hideki Hayashi, Nobuhiro Ishimaru, Ryosuke Shibasaki, Hiroshi Kanasugi
2015	—	`conf`	LiDAR-based pedestrian-flow analysis for crowdedness equalization. SIGSPATIAL/GIS Akinori Asahara, Nobuo Sato, Masatsugu Nomiya, Satomi Tsuji
2015	J	`jnl`	Moving Point Density Estimation Algorithm Based on a Generated Bayesian Prior. ISPRS Int. J. Geo Inf. Akinori Asahara, Hideki Hayashi, Takashi Kai
2015	B	`conf`	Pedestrian-Flow Analysis System for Improving Layout of Exhibitions. SSTD Akinori Asahara, Nobuo Sato, Masatsugu Nomiya
2015	—	`conf`	Spatio-temporal join technique for disaster estimation in large-scale natural disaster. IWGS Hideki Hayashi, Akinori Asahara, Natsuko Sugaya, Yuichi Ogawa, Hitoshi Tomita
2015	—	`conf`	Spatio-temporal similarity search method for disaster estimation. IEEE BigData Hideki Hayashi, Akinori Asahara, Natsuko Sugaya, Yuichi Ogawa, Hitoshi Tomita
2012	—	`conf`	A mixed autoregressive hidden-markov-chain model applied to people's movements. SIGSPATIAL/GIS Akinori Asahara, Kishiko Maruyama, Ryosuke Shibasaki
2012	C	`conf`	Wireless LAN based indoor positioning using radio-signal strength distribution modeling. IPIN Yaemi Teramoto, Akinori Asahara
2011	—	`conf`	Indoor positioning based on radio signal strength distribution modeling using mirror image method. ISA Yaemi Teramoto, Akiko Sato, Akinori Asahara, Hitoshi Tomita
2011	—	`conf`	Pedestrian-movement prediction based on mixed Markov-chain model. GIS Akinori Asahara, Kishiko Maruyama, Akiko Sato, Kouichi Seto
2009	B	`conf`	Evaluation of Trajectory Clustering Based on Information Criteria for Human Activity Analysis. Mobile Data Management Akinori Asahara, Akiko Sato, Kishiko Maruyama
2006	B	`conf`	Macroscopic Structural Summarization of Road Networks for Mobile Traffic Information Services. MDM Akinori Asahara, Shigeru Shimada, Kishiko Maruyama