Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
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.
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.
Dudek, Adrian
and
Baranowski, Jerzy
2022.
Gaussian Processes for Signal Processing and Representation in Control Engineering.
Applied Sciences,
Vol. 12,
Issue. 10,
p.
4946.
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.
Raphel, Mariya
Gunjal, Revati
Wagh, S.R.
and
Singh, N.M.
2022.
Model-free Optimization: The Exploration-Exploitation Paradigm.
p.
422.
Bussemaker, Jasper H.
2023.
SBArchOpt: Surrogate-Based Architecture
Optimization.
Journal of Open Source Software,
Vol. 8,
Issue. 89,
p.
5564.
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,
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.
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.
Iwai, Eito
Inoue, Ichiro
Maesaka, Hirokazu
Inagaki, Takahiro
Yabashi, Makina
Hara, Toru
and
Tanaka, Hitoshi
2023.
Spectral-brightness optimization of an X-ray free-electron laser by machine-learning-based tuning.
Journal of Synchrotron Radiation,
Vol. 30,
Issue. 6,
p.
1048.
Olma, Simon
Hosseini, Seyedehsomayeh
and
Menne, Thorben
2023.
Efficient Combined Physical and Neural Network Modeling and Simulation Using the Functional Mock-up Interface.
p.
51.
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,
Dew, Ryan
2023.
Adaptive Preference Measurement with Unstructured Data.
SSRN Electronic Journal,
Fadikar, Arindam
Collier, Nicholson
Stevens, Abby
Ozik, Jonathan
Binois, Mickaël
and
Toh, Kok Ben
2023.
Trajectory-Oriented Optimization of Stochastic Epidemiological Models.
p.
1244.
Hamza, Ameer
Khan, Muhammad Attique
ur Rehman, Shams
Albarakati, Hussain Mobarak
Alroobaea, Roobaea
Baqasah, Abdullah M.
Alhaisoni, Majed
and
Masood, Anum
2023.
An Integrated Parallel Inner Deep Learning Models Information Fusion With Bayesian Optimization for Land Scene Classification in Satellite Images.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,
Vol. 16,
Issue. ,
p.
9888.
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.
Chen, Lujing
Chen, Tianshi
Detha, Utkarsh
and
Andersen, Martin S.
2023.
Towards Scalable Kernel-Based Regularized System Identification.
p.
1498.
Morita, Keisuke
Nishikawa, Yoshihiko
and
Ohzeki, Masayuki
2023.
Random Postprocessing for Combinatorial Bayesian Optimization.
Journal of the Physical Society of Japan,
Vol. 92,
Issue. 12,
Alfares, Nader
and
Kesidis, George
2023.
Container Sizing for Microservices with Dynamic Workload by Online Optimization.
p.
1.