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Mahdi Imani
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2020 – today
- 2024
- [j25]Yang Ni
, Danny Abraham
Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning. IEEE Access 12: 138519-138534 (2024) - [j24]Mohammad Alali, Mahdi Imani:
Bayesian reinforcement learning for navigation planning in unknown environments. Frontiers Artif. Intell. 7 (2024) - [j23]Armita Kazeminajafabadi
Optimal Joint Defense and Monitoring for Networks Security under Uncertainty: A POMDP-Based Approach. IET Inf. Secur. 2024: 1-20 (2024) - [j22]Seyed Hamid Hosseini
An optimal Bayesian intervention policy in response to unknown dynamic cell stimuli. Inf. Sci. 666: 120440 (2024) - [j21]Amirhossein Ravari
Optimal Inference of Hidden Markov Models Through Expert-Acquired Data. IEEE Trans. Artif. Intell. 5(8): 3985-4000 (2024) - [j20]Seyed Hamid Hosseini
Modeling Defensive Response of Cells to Therapies: Equilibrium Interventions for Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1322-1334 (2024) - [j19]Mohammad Alali
Bayesian Lookahead Perturbation Policy for Inference of Regulatory Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1504-1517 (2024) - [c28]Armita Kazeminajafabadi, Seyede Fatemeh Ghoreishi, Mahdi Imani:
Optimal Detection for Bayesian Attack Graphs Under Uncertainty in Monitoring and Reimaging. ACC 2024: 3927-3934 - [c27]Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Mahdi Imani:
Implicit Human Perception Learning in Complex and Unknown Environments. ACC 2024: 5453-5459 - [c26]Yuxin Lin, Seyede Fatemeh Ghoreishi, Tian Lan, Mahdi Imani:
High-Level Human Intention Learning for Cooperative Decision-Making. CCTA 2024: 209-216 - [c25]Mohammad Alali, Mahdi Imani:
Bayesian Optimization for State and Parameter Estimation of Dynamic Networks with Binary Space. CCTA 2024: 400-406 - [c24]Seyed Hamid Hosseini, Mahdi Imani:
Dynamic Intervention in Gene Regulatory Networks: A Partially Observed Zero-Sum Markov Game. CCTA 2024: 774-781 - [c23]Yongsheng Mei, Mahdi Imani, Tian Lan:
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. ICLR 2024 - [i7]Yongsheng Mei, Mahdi Imani, Tian Lan:
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. CoRR abs/2401.14544 (2024) - [i6]Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan:
Collaborative AI Teaming in Unknown Environments via Active Goal Deduction. CoRR abs/2403.15341 (2024) - [i5]Zuyuan Zhang, Mahdi Imani, Tian Lan:
Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information. CoRR abs/2405.14122 (2024) - 2023
- [j18]Amirhossein Ravari
Optimal Recursive Expert-Enabled Inference in Regulatory Networks. IEEE Control. Syst. Lett. 7: 1027-1032 (2023) - [j17]Armita Kazeminajafabadi
Optimal monitoring and attack detection of networks modeled by Bayesian attack graphs. Cybersecur. 6(1): 22 (2023) - [c22]Mohammad Alali
Reinforcement Learning Data-Acquiring for Causal Inference of Regulatory Networks. ACC 2023: 3957-3964 - [c21]Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam:
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. ECAI 2023: 1704-1711 - 2022
- [j16]Mahdi Imani
Bayesian Optimization for Expensive Smooth-Varying Functions. IEEE Intell. Syst. 37(4): 44-55 (2022) - [j15]Mahdi Imani
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4125-4132 (2022) - [j14]Mahdi Imani
Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5138-5149 (2022) - [j13]Mahdi Imani
Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5913-5925 (2022) - [c20]Mahdi Imani, Mohsen Imani, Seyede Fatemeh Ghoreishi:
Optimal Bayesian Biomarker Selection for Gene Regulatory Networks under Regulatory Model Uncertainty. ACC 2022: 1379-1385 - [c19]Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani:
HDPG: hyperdimensional policy-based reinforcement learning for continuous control. DAC 2022: 1141-1146 - [c18]Zhuowen Zou, Hanning Chen, Prathyush Poduval, Yeseong Kim, Mahdi Imani, Elaheh Sadredini
BioHD: an efficient genome sequence search platform using HyperDimensional memorization. ISCA 2022: 656-669 - [i4]Mohammad Alali
Inference of Regulatory Networks Through Temporally Sparse Data. CoRR abs/2207.12124 (2022) - [i3]Yongsheng Mei
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions. CoRR abs/2210.06635 (2022) - 2021
- [j12]Mahdi Imani
Optimal Finite-Horizon Perturbation Policy for Inference of Gene Regulatory Networks. IEEE Intell. Syst. 36(1): 54-63 (2021) - [j11]Seyede Fatemeh Ghoreishi, Mahdi Imani:
Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems. J. Comput. Inf. Sci. Eng. 21(4) (2021) - [c17]Mahdi Imani, Seyede Fatemeh Ghoreishi:
Partially-Observed Discrete Dynamical Systems. ACC 2021: 310-315 - [c16]Mahdi Imani, Seyede Fatemeh Ghoreishi:
Adaptive Real-Time Filter for Partially-Observed Boolean Dynamical Systems. ICASSP 2021: 5340-5344 - 2020
- [j10]Mahdi Imani
Boolean Kalman filter and smoother under model uncertainty. Autom. 111 (2020) - [j9]Arghavan Bahadorinejad, Mahdi Imani
Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1105-1114 (2020) - [c15]Mahdi Imani, Seyede Fatemeh Ghoreishi:
Bayesian Optimization Objective-Based Experimental Design. ACC 2020: 3405-3411 - [c14]Seyede Fatemeh Ghoreishi, Mahdi Imani:
Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems. ACC 2020: 3412-3418
2010 – 2019
- 2019
- [j8]Mahdi Imani
Control of Gene Regulatory Networks Using Bayesian Inverse Reinforcement Learning. IEEE ACM Trans. Comput. Biol. Bioinform. 16(4): 1250-1261 (2019) - [j7]Mahdi Imani
Point-Based Methodology to Monitor and Control Gene Regulatory Networks via Noisy Measurements. IEEE Trans. Control. Syst. Technol. 27(3): 1023-1035 (2019) - [c13]Mahdi Imani
MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models. AAAI 2019: 7858-7865 - [c12]Seyede Fatemeh Ghoreishi, Mahdi Imani:
Offline Fault Detection in Gene Regulatory Networks using Next-Generation Sequencing Data. ACSSC 2019: 1344-1348 - 2018
- [j6]Mahdi Imani
Particle filters for partially-observed Boolean dynamical systems. Autom. 87: 238-250 (2018) - [j5]Mahdi Imani
Finite-horizon LQR controller for partially-observed Boolean dynamical systems. Autom. 95: 172-179 (2018) - [j4]Mahdi Imani
Gene regulatory network state estimation from arbitrary correlated measurements. EURASIP J. Adv. Signal Process. 2018: 22 (2018) - [j3]Mahdi Imani
Control of Gene Regulatory Networks With Noisy Measurements and Uncertain Inputs. IEEE Trans. Control. Netw. Syst. 5(2): 760-769 (2018) - [c11]Mahdi Imani
Optimal Control of Gene Regulatory Networks with Unknown Cost Function. ACC 2018: 3939-3944 - [c10]Ehsan Hajiramezanali, Mahdi Imani, Ulisses M. Braga-Neto, Xiaoning Qian, Edward R. Dougherty:
Scalable Optimal Bayesian Classification of Single-Cell Trajectories under Regulatory Model Uncertainty. BCB 2018: 596-597 - [c9]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 - [i2]Mahdi Imani, Roozbeh Dehghannasiri, Ulisses M. Braga-Neto, Edward R. Dougherty:
Sequential Experimental Design for Optimal Structural Intervention in Gene Regulatory Networks Based on the Mean Objective Cost of Uncertainty. CoRR abs/1805.12253 (2018) - 2017
- [j2]Levi D. McClenny, Mahdi Imani
BoolFilter: an R package for estimation and identification of partially-observed Boolean dynamical systems. BMC Bioinform. 18(1): 519:1-519:8 (2017) - [j1]Mahdi Imani
Maximum-Likelihood Adaptive Filter for Partially Observed Boolean Dynamical Systems. IEEE Trans. Signal Process. 65(2): 359-371 (2017) - [c8]Shuilian Xie, Mahdi Imani
Nonstationary linear discriminant analysis. ACSSC 2017: 161-165 - [c7]Mahdi Imani
Optimal finite-horizon sensor selection for Boolean Kalman Filter. ACSSC 2017: 1481-1485 - [c6]Mahdi Imani
Multiple Model Adaptive controller for Partially-Observed Boolean Dynamical Systems. ACC 2017: 1103-1108 - [c5]Levi D. McClenny, Mahdi Imani
Boolean Kalman Filter with correlated observation noise. ICASSP 2017: 866-870 - [i1]Mahdi Imani, Ulisses M. Braga-Neto:
Control of Gene Regulatory Networks with Noisy Measurements and Uncertain Inputs. CoRR abs/1702.07652 (2017) - 2016
- [c4]Mahdi Imani
State-feedback control of Partially-Observed Boolean Dynamical Systems using RNA-seq time series data. ACC 2016: 227-232 - [c3]Mahdi Imani
Point-based value iteration for partially-observed Boolean dynamical systems with finite observation space. CDC 2016: 4208-4213 - 2015
- [c2]Mahdi Imani
Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation. ACSSC 2015: 423-427 - [c1]Mahdi Imani
Optimal state estimation for boolean dynamical systems using a boolean Kalman smoother. GlobalSIP 2015: 972-976
Coauthor Index
aka: Ulisses M. Braga-Neto
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