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Akinori Asahara
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2020 – today
- 2023
- [i4]Yoshihiro Osakabe, Akinori Asahara:
Proposing Novel Extrapolative Compounds by Nested Variational Autoencoders. CoRR abs/2302.02555 (2023) - [i3]Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara:
QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting. CoRR abs/2303.09772 (2023) - [i2]Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara:
QUBO-inspired Molecular Fingerprint for Chemical Property Prediction. CoRR abs/2303.10179 (2023) - 2022
- [c27]Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara:
QUBO-inspired Molecular Fingerprint for Chemical Property Prediction. IEEE Big Data 2022: 2437-2440 - [c26]Akinori Asahara, Yoshihiro Osakabe, Karin Tsuda, Hidekazu Morita:
Interactive Support System for Idea Divergence-Convergence Iteration. IEEE Big Data 2022: 6584-6586 - [c25]Koichiro Yawata, Yoshihiro Osakabe, Takuya Okuyama, Akinori Asahara:
QUBO Decision Tree: Annealing Machine Extends Decision Tree Splitting. ICKG 2022: 355-364 - [c24]Yoshihiro Osakabe
, Akinori Asahara
:
Proposing Novel High-Performance Compounds by Nested VAEs Trained Independently on Different Datasets. IEA/AIE 2022: 714-722 - 2021
- [c23]Akinori Asahara, Hidekazu Morita, Kanta Ono, Masao Yano, Chiharu Mitsumata, Tetsuya Shoji, Kotaro Saito:
Bayesian-Inference-based Inverse Estimation of Small Angle Scattering. AAAI Spring Symposium: MLPS 2021 - [c22]Yoshihiro Osakabe, Akinori Asahara:
MatVAE: Independently Trained Nested Variational Autoencoder for Generating Chemical Structural Formula. AAAI Spring Symposium: MLPS 2021 - 2020
- [c21]Akinori Asahara, Hidekazu Morita, Kanta Ono, Masao Yano, Tetsuya Shoji, Kotaro Saito, Chiharu Mitsumata:
EM-algorithm Enpowers Material Science: Application of Inverse Estimation for Small Angle Scattering. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020 - [c20]Yoshihiro Osakabe, Akinori Asahara, Hidekazu Morita:
Hitachi Materials Informatics Analytics Platform Assisting Rapid Development. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020 - [c19]Satoshi Kuwamoto, Yu Kitano, Akinori Asahara:
Machine-learning-based People-flow Simulation for Facility Layout Planning. IEEE BigData 2020: 1362-1367
2010 – 2019
- 2019
- [c18]Akinori Asahara, Hidekazu Morita, Chiharu Mitsumata
, Kanta Ono, Masao Yano, Tetsuya Shoji:
Early-Stopping of Scattering Pattern Observation with Bayesian Modeling. AAAI 2019: 9410-9415 - [c17]Yu Kitano, Satoshi Kuwamoto, Akinori Asahara:
OD-network-based Pedestrian-path Prediction for People-flow Simulation. IEEE BigData 2019: 1656-1661 - [i1]Takuya Kanazawa, Akinori Asahara, Hidekazu Morita:
Accelerating small-angle scattering experiments with simulation-based machine learning. CoRR abs/1908.09102 (2019) - 2017
- [c16]Hideki Hayashi, Yuichi Ogawa, Natsuko Sugaya, Akinori Asahara, Hitoshi Tomita:
Stream Geo-location Data Processing for Detecting Rescuers in a Large-scale Disaster. EM-GIS 2017: 14:1-14:8 - [c15]Akinori Asahara, Hideki Hayashi:
Quantity Distribution Search using Sparse Representation Generated with Kernel-based Regression. GISTAM 2017: 209-216 - [c14]Akinori Asahara:
Decomposition of pedestrian flow heatmap obtained with monitor-based tracking. IPIN 2017: 1-8 - 2016
- [c13]Hideki Hayashi, Akinori Asahara, Natsuko Sugaya, Yuichi Ogawa, Hitoshi Tomita:
Composition of simulation data for large-scale disaster estimation. EM-GIS 2016: 4:1-4:8 - [c12]Yoshihide Sekimoto, Akihito Sudo, Takehiro Kashiyama, Toshikazu Seto, Hideki Hayashi, Akinori Asahara, Hiroki Ishizuka, Satoshi Nishiyama:
Real-time people movement estimation in large disasters from several kinds of mobile phone data. UbiComp Adjunct 2016: 1426-1434 - 2015
- [j1]Akinori Asahara, Hideki Hayashi, Takashi Kai:
Moving Point Density Estimation Algorithm Based on a Generated Bayesian Prior. ISPRS Int. J. Geo Inf. 4(2): 515-534 (2015) - [c11]Akinori Asahara, Hideki Hayashi, Nobuhiro Ishimaru
, Ryosuke Shibasaki, Hiroshi Kanasugi:
International standard "OGC® moving features" to address "4Vs" on locational bigdata. IEEE BigData 2015: 1958-1966 - [c10]Hideki Hayashi, Akinori Asahara, Natsuko Sugaya, Yuichi Ogawa, Hitoshi Tomita:
Spatio-temporal similarity search method for disaster estimation. IEEE BigData 2015: 2462-2469 - [c9]Akinori Asahara, Nobuo Sato, Masatsugu Nomiya, Satomi Tsuji:
LiDAR-based pedestrian-flow analysis for crowdedness equalization. SIGSPATIAL/GIS 2015: 30:1-30:10 - [c8]Hideki Hayashi, Akinori Asahara, Natsuko Sugaya, Yuichi Ogawa, Hitoshi Tomita:
Spatio-temporal join technique for disaster estimation in large-scale natural disaster. IWGS 2015: 49-58 - [c7]Akinori Asahara, Nobuo Sato, Masatsugu Nomiya:
Pedestrian-Flow Analysis System for Improving Layout of Exhibitions. SSTD 2015: 473-477 - 2012
- [c6]Akinori Asahara, Kishiko Maruyama, Ryosuke Shibasaki:
A mixed autoregressive hidden-markov-chain model applied to people's movements. SIGSPATIAL/GIS 2012: 414-417 - [c5]Yaemi Teramoto, Akinori Asahara:
Wireless LAN based indoor positioning using radio-signal strength distribution modeling. IPIN 2012: 1-7 - 2011
- [c4]Yaemi Teramoto, Akiko Sato, Akinori Asahara, Hitoshi Tomita:
Indoor positioning based on radio signal strength distribution modeling using mirror image method. ISA 2011: 15-22 - [c3]Akinori Asahara, Kishiko Maruyama, Akiko Sato, Kouichi Seto:
Pedestrian-movement prediction based on mixed Markov-chain model. GIS 2011: 25-33
2000 – 2009
- 2009
- [c2]Akinori Asahara, Akiko Sato, Kishiko Maruyama:
Evaluation of Trajectory Clustering Based on Information Criteria for Human Activity Analysis. Mobile Data Management 2009: 329-337 - 2006
- [c1]Akinori Asahara, Shigeru Shimada, Kishiko Maruyama:
Macroscopic Structural Summarization of Road Networks for Mobile Traffic Information Services. MDM 2006: 42
Coauthor Index
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