Seyede Fatemeh Ghoreishi

Orcid: 0000-0003-4851-8135

According to our database1, Seyede Fatemeh Ghoreishi authored at least 18 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Optimal Recursive Expert-Enabled Inference in Regulatory Networks.
IEEE Control. Syst. Lett., 2023

2022
Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design.
IEEE Trans. Neural Networks Learn. Syst., 2022

Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models.
IEEE Trans. Neural Networks Learn. Syst., 2022

Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization.
IEEE Trans. Neural Networks Learn. Syst., 2022

Bayesian Optimization for Expensive Smooth-Varying Functions.
IEEE Intell. Syst., 2022

Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty.
Proceedings of the American Control Conference, 2022

Input Distribution Estimation in Dynamic Coupled Multidisciplinary Systems.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems.
J. Comput. Inf. Sci. Eng., 2021

Physics-Informed Modeling and Control of Multi-Actuator Soft Catheter Robots.
Frontiers Robotics AI, 2021

Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks.
IEEE Intell. Syst., 2021

Adaptive Real-Time Filter for Partially-Observed Boolean Dynamical Systems.
Proceedings of the IEEE International Conference on Acoustics, 2021

Partially-Observed Discrete Dynamical Systems.
Proceedings of the 2021 American Control Conference, 2021

2020
Bayesian Optimization Objective-Based Experimental Design.
Proceedings of the 2020 American Control Conference, 2020

Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems.
Proceedings of the 2020 American Control Conference, 2020

2019
Sequential Information-Theoretic and Reification-Based Approach for Querying Multi-Information Sources.
J. Aerosp. Inf. Syst., December, 2019

Offline Fault Detection in Gene Regulatory Networks using Next-Generation Sequencing Data.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018


  Loading...