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ORCIDSeyede Fatemeh Ghoreishi
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2020 – today
- 2024
[j12]Mehrnoosh Emamifar, Seyede Fatemeh Ghoreishi:
Physics-Informed Particle-Based Reinforcement Learning for Autonomy in Signalized Intersections. Int. J. Intell. Transp. Syst. Res. 22(2): 416-430 (2024)- [j11]Negar Asadi, Seyede Fatemeh Ghoreishi:
Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems. J. Comput. Inf. Sci. Eng. 24(9) (2024) - [j10]Amirhossein Ravari
, Seyede Fatemeh Ghoreishi, Mahdi Imani:
Optimal Inference of Hidden Markov Models Through Expert-Acquired Data. IEEE Trans. Artif. Intell. 5(8): 3985-4000 (2024) - [c12]Armita Kazeminajafabadi, Seyede Fatemeh Ghoreishi, Mahdi Imani:
Optimal Detection for Bayesian Attack Graphs Under Uncertainty in Monitoring and Reimaging. ACC 2024: 3927-3934 - [c11]Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Mahdi Imani:
Implicit Human Perception Learning in Complex and Unknown Environments. ACC 2024: 5453-5459 - [c10]Yuxin Lin, Seyede Fatemeh Ghoreishi, Tian Lan, Mahdi Imani:
High-Level Human Intention Learning for Cooperative Decision-Making. CCTA 2024: 209-216 - 2023
- [j9]Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Mahdi Imani:
Optimal Recursive Expert-Enabled Inference in Regulatory Networks. IEEE Control. Syst. Lett. 7: 1027-1032 (2023) - 2022
- [j8]Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi:
Bayesian Optimization for Expensive Smooth-Varying Functions. IEEE Intell. Syst. 37(4): 44-55 (2022) - [j7]Mahdi Imani, Seyede Fatemeh Ghoreishi:
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4125-4132 (2022) - [j6]Mahdi Imani, Seyede Fatemeh Ghoreishi:
Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5138-5149 (2022) - [j5]Mahdi Imani, Seyede Fatemeh Ghoreishi:
Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5913-5925 (2022) - [c9]Negar Asadi, Seyede Fatemeh Ghoreishi:
Input Distribution Estimation in Dynamic Coupled Multidisciplinary Systems. IEEECONF 2022: 65-70 - [c8]Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi:
Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty. ACC 2022: 1379-1385 - 2021
- [j4]Mahdi Imani, Seyede Fatemeh Ghoreishi:
Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks. IEEE Intell. Syst. 36(1): 54-63 (2021) - [j3]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: 772628 (2021) - [j2]Seyede Fatemeh Ghoreishi, Mahdi Imani:
Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems. J. Comput. Inf. Sci. Eng. 21(4) (2021) - [c7]Mahdi Imani, Seyede Fatemeh Ghoreishi:
Partially-Observed Discrete Dynamical Systems. ACC 2021: 310-315 - [c6]Mahdi Imani, Seyede Fatemeh Ghoreishi:
Adaptive Real-Time Filter for Partially-Observed Boolean Dynamical Systems. ICASSP 2021: 5340-5344 - 2020
- [c5]Mahdi Imani, Seyede Fatemeh Ghoreishi:
Bayesian Optimization Objective-Based Experimental Design. ACC 2020: 3405-3411 - [c4]Seyede Fatemeh Ghoreishi, Mahdi Imani:
Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems. ACC 2020: 3412-3418
2010 – 2019
- 2019
- [j1]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): 575-587 (2019) - [c3]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: 7858-7865 - [c2]Seyede Fatemeh Ghoreishi, Mahdi Imani:
Offline Fault Detection in Gene Regulatory Networks using Next-Generation Sequencing Data. ACSSC 2019: 1344-1348 - 2018
- [c1]Mahdi Imani, Seyede Fatemeh Ghoreishi, Ulisses M. Braga-Neto:
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments. NeurIPS 2018: 8157-8167
Coauthor Index
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last updated on 2024-09-26 01:57 CEST by the dblp team
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