An optimization algorithm to provide individual illuminance using LED ceiling lights and verification at the actual office. - Keiko Ono; Mitsunori Miki; Hiroyuki Yonemoto; Tatsuo Nishimoto; Tetsuya Omi; Hiroshi Adachi (SMC, 2011)

Effectiveness of Multi-step Crossover Fusions in genetic programming. - Yoshiko Hanada; Nagahiro Hosokawa; Keiko Ono; Mitsuji Muneyasu (IEEE Congress on Evolutionary Computation, 2012)

Predicting missing links in social networks with hierarchical dirichlet processes. - Takayuki Kamei; Keiko Ono; Masahito Kumano; Masahiro Kimura (IJCNN, 2012)

Depth-dependent crossover in genetic programming with frequent trees. - Keiko Ono; Yoshiko Hanada; Katsushi Shirakawa; Masahito Kumano; Masahiro Kimura (SMC, 2012)

Island model genetic programming based on frequent trees. - Keiko Ono; Yoshiko Hanada; Masahito Kumano; Masahiro Kimura (IEEE Congress on Evolutionary Computation, 2013)

Visualizing attractive periods of popular photo spots using Flickr data. - Satoshi Iwabuchi; Masahito Kumano; Motonori Koseki; Keiko Ono; Masahiro Kimura (SIGGRAPH Posters, 2013)

Assembling bloat control strategies in genetic programming for image noise reduction. - Keiko Ono; Yoshiko Hanada (ISDA, 2014)

A CUDA-based self-adaptive subpopulation model in genetic programming: cuSASGP. - Keiko Ono; Yoshiko Hanada (CEC, 2015)

Distributed light brightness control based on cuSASGP. - Keiko Ono; Yoshiko Hanada (CEC, 2016)

Probabilistic Model-Based Multistep Crossover for Genetic Programming. - Kohei Matsumura; Yoshiko Hanada; Keiko Ono (SCIS&ISIS, 2016)

3D surface registration using estimated local shape variation. - Keiko Ono; Ryuji Ono; Yoshiko Hanada (CCTA, 2017)

Landscape estimation of decision-tree induction based on grammatical Evolution using rank correlation. - Keiko Ono; Jun-ichi Kushida (CEC, 2017)

Adaptive GA-based AR-hidden Markov model for time series forecasting. - Naoki Toriyama; Keiko Ono; Yukiko Orito (CEC, 2017)

Accelerating genetic programming using pycuda. - Keiko Ono; Yoshiko Hanada (GECCO (Companion), 2018)

Effectiveness of Multi-step Crossover in Extrapolation Domain for Genetic Programming. - Mao Kuroda; Yoshiko Hanada; Keiko Ono (SMC, 2018)

A New Probabilistic Tree Expression for Probabilistic Model Building Genetic Programming. - Daichi Kumoyama; Yoshiko Hanada; Keiko Ono (CSII (selected papers), 2019)

Textonboost based on differential evolution. - Keiko Ono; Daisuke Tawara; Yoshiko Hanada (GECCO (Companion), 2019)

User-friendly Interior Design Recommendation. - Akari Nishikawa; Keiko Ono; Mitsunori Miki (SIGGRAPH Asia Posters, 2019)

Enhancing Island Model Genetic Programming by Controlling Frequent Trees. - Keiko Ono; Yoshiko Hanada; Masahito Kumano; Masahiro Kimura (J. Artif. Intell. Soft Comput. Res., 2019)

Adaptive Mutation based on Population Distribution in DE with an individual-dependent mechanism. - Keiko Ono; Erika Makihara; Yuya Maeda; Yuka Kawai (SICE, 2020)

Differential Evolution Neural Network Optimization with Individual Dependent Mechanism. - Naoya Ikushima; Keiko Ono; Yuya Maeda; Erina Makihara; Yoshiko Hanada (CEC, 2021)

Self-Organized Subpopulation Based on Multiple Features in Genetic Programming on GPU. - Keiko Ono; Yoshiko Hanada (J. Adv. Comput. Intell. Intell. Informatics, 2021)

Comparison of Different Keyphrase Extraction Algorithms for Supporting Problem Selection in Online Judge System. - Ryota Shinhama; Erina Makihara; Keiko Ono; Akitaka Yaguchi; Ayumu Taisho (APSEC, 2022)

CNN structure optimization using differential evolution with individual dependent mechanism. - Naoya Ikushima; Keiko Ono; Erina Makihara; Sohei Yamakawa; Ryota Shinhama (GECCO Companion, 2022)

Textonmap optimization for spine segmentation using adaptive differential evolution. - Sohei Yamakawa; Keiko Ono; Erina Makihara; Daisuke Tawara; Shoma Yakushijin; Naoya Ikushima (GECCO Companion, 2022)

Prototyping Agents for Resolving Opinion Biases Toward Facilitating Sublation of Conflict in Web-based Discussions. - Hikaru Ishizuka; Shun Shiramatsu; Keiko Ono (ICA, 2022)

Object-Aware Attention Branch Network for Interior Style Scene Recognition. - Kentaro Fukao; Keiko Ono; Yuki Tani (SMC, 2023)

Semantic Segmentation of Spine and Femur Bone Using Atrous Spatial Pyramid Pooling-based U-Net with Fully Connected CRF. - Yuki Tani; Keiko Ono; Sohei Yamakawa; Shoma Yakushijin; Daisuke Tawara (SMC, 2023)

Generating Interior Images with Latent User Preferences Through GANs. - Kentaro Sakabe; Keiko Ono; Panagiotis Adamidis; Naohiro Masuda (CEC, 2024)

Furniture Recommendations Based on User Propensity and Furniture Style Compatibility. - Masayoshi Takeda; Keiko Ono; Ayumu Taisho (IEEE Access, 2024)