Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Raphel, Mariya
Gunjal, Revati
Wagh, S.R.
and
Singh, N.M.
2022.
Model-free Optimization: The Exploration-Exploitation Paradigm.
p.
422.
Maruyama, B.
Hattrick-Simpers, J.
Musinski, W.
Graham-Brady, L.
Li, K.
Hollenbach, J.
Singh, A.
and
Taheri, M. L.
2022.
Artificial intelligence for materials research at extremes.
MRS Bulletin,
Vol. 47,
Issue. 11,
p.
1154.
Fröhlich, Lukas P.
Küttel, Christian
Arcari, Elena
Hewing, Lukas
Zeilinger, Melanie N.
and
Carron, Andrea
2022.
Contextual Tuning of Model Predictive Control for Autonomous Racing.
p.
10555.
Binois, Mickaël
and
Wycoff, Nathan
2022.
A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization.
ACM Transactions on Evolutionary Learning and Optimization,
Vol. 2,
Issue. 2,
p.
1.
Lee, Eric Hans
Cheng, Bolong
and
McCourt, Michael
2022.
Achieving Diversity in Objective Space for Sample-Efficient Search of Multiobjective Optimization Problems.
p.
3146.
Taguchi, Yasunori
and
Gangi, Hiro
2023.
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR.
p.
202.
Alotaibi, Naif D.
Jahanshahi, Hadi
Yao, Qijia
Mou, Jun
and
Bekiros, Stelios
2023.
An Ensemble of Long Short-Term Memory Networks with an Attention Mechanism for Upper Limb Electromyography Signal Classification.
Mathematics,
Vol. 11,
Issue. 18,
p.
4004.
Chandramouli, Suyog
Zhu, Yifan
and
Oulasvirta, Antti
2023.
Interactive Personalization of Classifiers for Explainability using Multi-Objective Bayesian Optimization.
p.
34.
Shim, Eunjae
Tewari, Ambuj
Cernak, Tim
and
Zimmerman, Paul M.
2023.
Machine Learning Strategies for Reaction Development: Toward the Low-Data Limit.
Journal of Chemical Information and Modeling,
Vol. 63,
Issue. 12,
p.
3659.
Song, Xun
Zheng, Jiaqi
Qian, Hao
Zhao, Shiju
Zhang, Hongxuan
Pan, Xuntao
and
Chen, Guihai
2023.
Couper: Memory-Efficient Cardinality Estimation under Unbalanced Distribution.
p.
2753.
Jossa-Bastidas, Oscar
Sanchez, Ainhoa Osa
Bravo-Lamas, Leire
and
Garcia-Zapirain, Begonya
2023.
IoT System for Gluten Prediction in Flour Samples Using NIRS Technology, Deep and Machine Learning Techniques.
Electronics,
Vol. 12,
Issue. 8,
p.
1916.
Tóth, János
Tomán, Henrietta
Hajdu, Gabriella
and
Hajdu, András
2023.
Using Noisy Evaluation to Accelerate Parameter Optimization of Medical Image Segmentation Ensembles.
Mathematics,
Vol. 11,
Issue. 18,
p.
3992.
Kim, Soonwook
Kim, Hyeongkeun
King, William P.
and
Miljkovic, Nenad
2023.
Gaussian process optimization of phase change material heat sink design.
Numerical Heat Transfer, Part B: Fundamentals,
p.
1.
Firmin, T.
and
Talbi, E-G.
2023.
Optimization and Learning.
Vol. 1824,
Issue. ,
p.
3.
Novick, Andrew
Nguyen, Quan
Garnett, Roman
Toberer, Eric
and
Stevanović, Vladan
2023.
Simulating high-entropy alloys at finite temperatures: An uncertainty-based approach.
Physical Review Materials,
Vol. 7,
Issue. 6,
Xenakis, Antonios
Nourin, Sabrina Mamtaz
Chen, Zhiyuan
Karabatis, George
Aleroud, Ahmed
and
Amarsingh, Jhancy
2023.
A Self-adaptive and Secure Approach to Share Network Trace Data.
Digital Threats: Research and Practice,
Vol. 4,
Issue. 4,
p.
1.
Wang, Zhong
and
Li, Yan
2023.
Nonlinear H∞ Control Based on Successive Gaussian Process Regression.
IEEE Transactions on Circuits and Systems II: Express Briefs,
Vol. 70,
Issue. 3,
p.
1084.
Bhattacharya, Subhaditya
Biswas, Sanjoy
Pal, Kuntal
and
Wudka, Jose
2023.
Associated production of Higgs and single top at the LHC in presence of the SMEFT operators.
Journal of High Energy Physics,
Vol. 2023,
Issue. 8,
Chen, Lujing
Chen, Tianshi
Detha, Utkarsh
and
Andersen, Martin S.
2023.
Towards Scalable Kernel-Based Regularized System Identification.
p.
1498.
Kim, Jungtaek
and
Choi, Seungjin
2023.
BayesO: A Bayesian optimization framework in
Python.
Journal of Open Source Software,
Vol. 8,
Issue. 90,
p.
5320.