Ruth Misener
American computer scientist and academic
Facts
10 properties- Instance of
- human
- Country of citizenship
- United States[3]
- Occupation
- computer scientist, university teacher
- Employer
- Imperial College London[4]
- Educated at
- Princeton University[5]
- Official website
- wp.doc.ic.ac.uk[9]
- Maintained by WikiProject
- WikiProject Mathematics[10]
🏷️ Also known as
en Ruth Misener
🔖 Identifiers · 13
- ORCID iD
- 0000-0001-5612-5417
- VIAF cluster ID
- 220171185008647772177
- Image (Wikimedia Commons)
- Ruth Misener.jpg ↗
- DBLP author ID
- 04/8800
- Dimensions author ID
- 013061751655.56
- Gateway to Research person ID
- 673980B6-8AEF-494A-A363-94556F004F05
- GitHub account
- cog-imperial
- Google Knowledge Graph ID
- /g/11f3ws32hl
- Google Scholar author ID
- AQxtWHoAAAAJ
- LinkedIn personal profile ID
- ruth-misener
- ResearchGate profile ID
- Ruth_Misener
- Scopus author ID
- 26868073800
Show all 13 identifiers +1
- ZbMATH author ID
- misener.ruth
🔗 Connections
Author of 12
A Quantitative Three-Dimensional Image Analysis Tool for Maximal Acquisition of Spatial Heterogeneity Data,
A robust approach to warped Gaussian process-constrained optimization,
Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering,
Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization,
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis,
Maximizing information from chemical engineering data sets: Applications to machine learning,
Maximizing neotissue growth kinetics in a perfusion bioreactor: An in silico strategy using model reduction and Bayesian optimization,
Multi-objective constrained optimization for energy applications via tree ensembles
+4 more
← Authored by 12
A Quantitative Three-Dimensional Image Analysis Tool for Maximal Acquisition of Spatial Heterogeneity Data,
A robust approach to warped Gaussian process-constrained optimization,
Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering,
Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization,
Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis,
Maximizing information from chemical engineering data sets: Applications to machine learning,
Maximizing neotissue growth kinetics in a perfusion bioreactor: An in silico strategy using model reduction and Bayesian optimization,
Multi-objective constrained optimization for energy applications via tree ensembles
+4 more
Occupation 2
Affiliated with 1
Country of citizenship 1
Educated at 1
Employer 1
Given name 1
Instance of 1
Maintained by WikiProject 1
Sex or gender 1
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