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ORCIDKeiko Ono
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2020 – today
- 2024
[j3]Masayoshi Takeda
, Keiko Ono, Ayumu Taisho:
Furniture Recommendations Based on User Propensity and Furniture Style Compatibility. IEEE Access 12: 21737-21744 (2024)- [c27]Kentaro Sakabe, Keiko Ono, Panagiotis Adamidis, Naohiro Masuda:
Generating Interior Images with Latent User Preferences Through GANs. CEC 2024: 1-7 - 2023
- [c26]Yuki Tani, Keiko Ono, Sohei Yamakawa, Shoma Yakushijin, Daisuke Tawara:
Semantic Segmentation of Spine and Femur Bone Using Atrous Spatial Pyramid Pooling-based U-Net with Fully Connected CRF. SMC 2023: 4967-4972 - [c25]Kentaro Fukao, Keiko Ono, Yuki Tani:
Object-Aware Attention Branch Network for Interior Style Scene Recognition. SMC 2023: 5305-5310 - 2022
- [c24]Ryota Shinhama, Erina Makihara, Keiko Ono, Akitaka Yaguchi, Ayumu Taisho:
Comparison of Different Keyphrase Extraction Algorithms for Supporting Problem Selection in Online Judge System. APSEC 2022: 556-557 - [c23]Naoya Ikushima, Keiko Ono, Erina Makihara, Sohei Yamakawa, Ryota Shinhama:
CNN structure optimization using differential evolution with individual dependent mechanism. GECCO Companion 2022: 57-58 - [c22]Sohei Yamakawa, Keiko Ono, Erina Makihara, Daisuke Tawara, Shoma Yakushijin, Naoya Ikushima:
Textonmap optimization for spine segmentation using adaptive differential evolution. GECCO Companion 2022: 75-76 - [c21]Hikaru Ishizuka, Shun Shiramatsu, Keiko Ono:
Prototyping Agents for Resolving Opinion Biases Toward Facilitating Sublation of Conflict in Web-based Discussions. ICA 2022: 18-23 - 2021
- [j2]Keiko Ono, Yoshiko Hanada:
Self-Organized Subpopulation Based on Multiple Features in Genetic Programming on GPU. J. Adv. Comput. Intell. Intell. Informatics 25(2): 177-186 (2021) - [c20]Naoya Ikushima, Keiko Ono, Yuya Maeda, Erina Makihara, Yoshiko Hanada:
Differential Evolution Neural Network Optimization with Individual Dependent Mechanism. CEC 2021: 2523-2530 - 2020
- [c19]Keiko Ono, Erika Makihara, Yuya Maeda, Yuka Kawai:
Adaptive Mutation based on Population Distribution in DE with an individual-dependent mechanism. SICE 2020: 852-857
2010 – 2019
- 2019
- [j1]Keiko Ono, Yoshiko Hanada, Masahito Kumano, Masahiro Kimura:
Enhancing Island Model Genetic Programming by Controlling Frequent Trees. J. Artif. Intell. Soft Comput. Res. 9(1): 51-65 (2019) - [c18]Daichi Kumoyama, Yoshiko Hanada, Keiko Ono:
A New Probabilistic Tree Expression for Probabilistic Model Building Genetic Programming. CSII (selected papers) 2019: 121-132 - [c17]Keiko Ono, Daisuke Tawara, Yoshiko Hanada:
Textonboost based on differential evolution. GECCO (Companion) 2019: 322-323 - [c16]Akari Nishikawa, Keiko Ono, Mitsunori Miki:
User-friendly Interior Design Recommendation. SIGGRAPH Asia Posters 2019: 24:1-24:2 - 2018
- [c15]Keiko Ono, Yoshiko Hanada:
Accelerating genetic programming using pycuda. GECCO (Companion) 2018: 57-58 - [c14]Mao Kuroda, Yoshiko Hanada, Keiko Ono:
Effectiveness of Multi-step Crossover in Extrapolation Domain for Genetic Programming. SMC 2018: 3654-3659 - 2017
- [c13]Keiko Ono, Ryuji Ono, Yoshiko Hanada:
3D surface registration using estimated local shape variation. CCTA 2017: 1362-1367 - [c12]Naoki Toriyama, Keiko Ono, Yukiko Orito:
Adaptive GA-based AR-hidden Markov model for time series forecasting. CEC 2017: 665-672 - [c11]Keiko Ono, Jun-ichi Kushida:
Landscape estimation of decision-tree induction based on grammatical Evolution using rank correlation. CEC 2017: 781-788 - 2016
- [c10]Keiko Ono, Yoshiko Hanada:
Distributed light brightness control based on cuSASGP. CEC 2016: 838-845 - [c9]Kohei Matsumura, Yoshiko Hanada, Keiko Ono:
Probabilistic Model-Based Multistep Crossover for Genetic Programming. SCIS&ISIS 2016: 154-159 - 2015
- [c8]Keiko Ono, Yoshiko Hanada:
A CUDA-based self-adaptive subpopulation model in genetic programming: cuSASGP. CEC 2015: 1543-1550 - 2014
- [c7]Keiko Ono, Yoshiko Hanada:
Assembling bloat control strategies in genetic programming for image noise reduction. ISDA 2014: 113-118 - 2013
- [c6]Keiko Ono, Yoshiko Hanada, Masahito Kumano, Masahiro Kimura:
Island model genetic programming based on frequent trees. IEEE Congress on Evolutionary Computation 2013: 2988-2995 - [c5]Satoshi Iwabuchi, Masahito Kumano, Motonori Koseki, Keiko Ono, Masahiro Kimura:
Visualizing attractive periods of popular photo spots using Flickr data. SIGGRAPH Posters 2013: 112 - 2012
- [c4]Yoshiko Hanada, Nagahiro Hosokawa, Keiko Ono, Mitsuji Muneyasu:
Effectiveness of Multi-step Crossover Fusions in genetic programming. IEEE Congress on Evolutionary Computation 2012: 1-8 - [c3]Takayuki Kamei, Keiko Ono, Masahito Kumano, Masahiro Kimura:
Predicting missing links in social networks with hierarchical dirichlet processes. IJCNN 2012: 1-8 - [c2]Keiko Ono, Yoshiko Hanada, Katsushi Shirakawa, Masahito Kumano, Masahiro Kimura:
Depth-dependent crossover in genetic programming with frequent trees. SMC 2012: 359-363 - 2011
- [c1]Keiko Ono, Mitsunori Miki, Hiroyuki Yonemoto, Tatsuo Nishimoto, Tetsuya Omi, Hiroshi Adachi:
An optimization algorithm to provide individual illuminance using LED ceiling lights and verification at the actual office. SMC 2011: 644-648
Coauthor Index
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