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.
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.
Dudek, Adrian
and
Baranowski, Jerzy
2022.
Gaussian Processes for Signal Processing and Representation in Control Engineering.
Applied Sciences,
Vol. 12,
Issue. 10,
p.
4946.
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.
Chen, Lujing
Chen, Tianshi
Detha, Utkarsh
and
Andersen, Martin S.
2023.
Towards Scalable Kernel-Based Regularized System Identification.
p.
1498.
Firmin, T.
and
Talbi, E-G.
2023.
Optimization and Learning.
Vol. 1824,
Issue. ,
p.
3.
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.
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,
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.
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.
Bussemaker, Jasper H.
2023.
SBArchOpt: Surrogate-Based Architecture
Optimization.
Journal of Open Source Software,
Vol. 8,
Issue. 89,
p.
5564.
Dew, Ryan
2023.
Adaptive Preference Measurement with Unstructured Data.
SSRN Electronic Journal,
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,
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.
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.
Alfares, Nader
and
Kesidis, George
2023.
Container Sizing for Microservices with Dynamic Workload by Online Optimization.
p.
1.
Fadikar, Arindam
Collier, Nicholson
Stevens, Abby
Ozik, Jonathan
Binois, Mickaël
and
Toh, Kok Ben
2023.
Trajectory-Oriented Optimization of Stochastic Epidemiological Models.
p.
1244.