Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
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.
Raphel, Mariya
Gunjal, Revati
Wagh, S.R.
and
Singh, N.M.
2022.
Model-free Optimization: The Exploration-Exploitation Paradigm.
p.
422.
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.
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.
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.
Zhang, Daifeng
Zhang, Jiliang
Wang, Yong
and
Lin, Xinhao
2023.
Model-Free Path Following for Autonomous Vehicles Based on GRU Predictive Control within Parallel Links.
p.
565.
Kim, Jungtaek
and
Choi, Seungjin
2023.
BayesO: A Bayesian optimization framework in
Python.
Journal of Open Source Software,
Vol. 8,
Issue. 90,
p.
5320.
Zhao, Liang
and
Zhang, Qingfu
2023.
Exact Formulas for the Computation of Expected Tchebycheff Improvement.
p.
1.
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,
Huggins, Bobby
Li, Chengkun
Tobaben, Marlon
Aarnos, Mikko J.
and
Acerbi, Luigi
2023.
PyVBMC: Efficient Bayesian inference in Python.
Journal of Open Source Software,
Vol. 8,
Issue. 86,
p.
5428.
Wang, Shangkun
Generale, Adam P.
Kalidindi, Surya R.
and
Joseph, V. Roshan
2023.
Sequential Designs for Filling Output Spaces.
Technometrics,
p.
1.
Rebuffi, Luca
Shi, Xianbo
Zhang, Runyu
Highland, Matthew J.
Frith, Matthew G.
Cha, Wonsuk
Harder, Ross J.
Kandel, Saugat
Cherukara, Mathew J.
Assoufid, Lahsen
Chubar, Oleg
and
Tanaka, Takashi
2023.
AI-driven real-time optics control system to achieve aberration-free coherent wavefronts at fourth-generation synchrotron radiation and free electron laser beamlines.
p.
12.
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.
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.
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.
Chen, Lujing
Chen, Tianshi
Detha, Utkarsh
and
Andersen, Martin S.
2023.
Towards Scalable Kernel-Based Regularized System Identification.
p.
1498.
Dong, Qingshu
Gong, Xiangrui
Yuan, Kangrui
Jiang, Ying
Zhang, Liangshun
and
Li, Weihua
2023.
Inverse Design of Complex Block Copolymers for Exotic Self-Assembled Structures Based on Bayesian Optimization.
ACS Macro Letters,
Vol. 12,
Issue. 3,
p.
401.
Taguchi, Yasunori
and
Gangi, Hiro
2023.
Bayesian Optimization that Limits Search Region to Lower Dimensions Utilizing Local GPR.
p.
202.
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.