Seyede Fatemeh Ghoreishi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Dynamical Systems

Hidden Markov Models

Reinforcement Learning

Regulatory Networks

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

IEEE Intell. Syst.

J. Comput. Inf. Sci. Eng.

Publications

Negar Asadi, Seyede Fatemeh Ghoreishi
Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems. J. Comput. Inf. Sci. Eng. 24 (9) (2024)
Mehrnoosh Emamifar, Seyede Fatemeh Ghoreishi
Physics-Informed Particle-Based Reinforcement Learning for Autonomy in Signalized Intersections. Int. J. Intell. Transp. Syst. Res. 22 (2) (2024)
Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Mahdi Imani
Optimal Inference of Hidden Markov Models Through Expert-Acquired Data. IEEE Trans. Artif. Intell. 5 (8) (2024)
Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Mahdi Imani
Optimal Recursive Expert-Enabled Inference in Regulatory Networks. IEEE Control. Syst. Lett. 7 (2023)
Negar Asadi, Seyede Fatemeh Ghoreishi
Input Distribution Estimation in Dynamic Coupled Multidisciplinary Systems. IEEECONF (2022)
Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi
Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty. ACC (2022)
Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi
Bayesian Optimization for Expensive Smooth-Varying Functions. IEEE Intell. Syst. 37 (4) (2022)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Seyede Fatemeh Ghoreishi, Ryan D. Sochol, Dheeraj Gandhi, Axel Krieger, Mark D. Fuge
Physics-Informed Modeling and Control of Multi-Actuator Soft Catheter Robots. Frontiers Robotics AI 8 (2021)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Adaptive Real-Time Filter for Partially-Observed Boolean Dynamical Systems. ICASSP (2021)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks. IEEE Intell. Syst. 36 (1) (2021)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Partially-Observed Discrete Dynamical Systems. ACC (2021)
Seyede Fatemeh Ghoreishi, Mahdi Imani
Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems. J. Comput. Inf. Sci. Eng. 21 (4) (2021)
Mahdi Imani, Seyede Fatemeh Ghoreishi
Bayesian Optimization Objective-Based Experimental Design. ACC (2020)
Seyede Fatemeh Ghoreishi, Mahdi Imani
Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems. ACC (2020)
Seyede Fatemeh Ghoreishi, Mahdi Imani
Offline Fault Detection in Gene Regulatory Networks using Next-Generation Sequencing Data. ACSSC (2019)
Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas L. Allaire, Ulisses M. Braga-Neto
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models. AAAI (2019)
Seyede Fatemeh Ghoreishi, W. D. Thomison, Douglas L. Allaire
Sequential Information-Theoretic and Reification-Based Approach for Querying Multi-Information Sources. J. Aerosp. Inf. Syst. 16 (12) (2019)
Mahdi Imani, Seyede Fatemeh Ghoreishi, Ulisses M. Braga-Neto
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments. NeurIPS (2018)