| Maximum-likelihood adaptive filter for partially observed Boolean dynamical systems M Imani, UM Braga-Neto IEEE Transactions on Signal Processing 65 (2), 359-371, 2016 | 112 | 2016 |
| Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments M Imani, SF Ghoreishi, U Braga-Neto Advances in Neural Information Processing Systems, 8146-8156, 2018 | 82 | 2018 |
| Particle filters for partially-observed Boolean dynamical systems M Imani, UM Braga-Neto Automatica 87, 238-250, 2018 | 81 | 2018 |
| MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models M Imani, SF Ghoreishi, D Allaire, U Braga-Neto Proceedings of the AAAI Conference on Artificial Intelligence 33, 7858-7865, 2019 | 77 | 2019 |
| Scalable Inverse Reinforcement Learning Through Multi-Fidelity Bayesian Optimization M Imani, SF Ghoreishi IEEE Transactions on Neural Networks and Learning Systems 33 (8), 4125 - 4132, 2022 | 71 | 2022 |
| Control of gene regulatory networks using Bayesian inverse reinforcement learning M Imani, U Braga-Neto IEEE/ACM transactions on computational biology and bioinformatics 16 (4 …, 2019 | 70 | 2019 |
| Bayesian Optimization Objective-Based Experimental Design M Imani, SF Ghoreishi 2020 American Control Conference (ACC), 2020 | 62 | 2020 |
| BioHD: an efficient genome sequence search platform using HyperDimensional memorization Z Zou, H Chen, P Poduval, Y Kim, M Imani, E Sadredini, R Cammarota, ... Proceedings of the 49th Annual International Symposium on Computer …, 2022 | 60 | 2022 |
| Boolean Kalman Filter and Smoother Under Model Uncertainty M Imani, E Dougherty, U Braga-Neto Automatica 111, 2020 | 53 | 2020 |
| Control of gene regulatory networks with noisy measurements and uncertain inputs M Imani, UM Braga-Neto IEEE Transactions on Control of Network Systems 5 (2), 760-769, 2018 | 52 | 2018 |
| Optimal state estimation for Boolean dynamical systems using a Boolean Kalman smoother M Imani, U Braga-Neto 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2015 | 45 | 2015 |
| Optimal gene regulatory network inference using the Boolean Kalman filter and multiple model adaptive estimation M Imani, U Braga-Neto 2015 49th Asilomar Conference on Signals, Systems and Computers, 423-427, 2015 | 42 | 2015 |
| Finite-horizon LQR controller for partially-observed Boolean dynamical systems M Imani, UM Braga-Neto Automatica 95, 172-179, 2018 | 37 | 2018 |
| Nonstationary Linear Discriminant Analysis S Xie, M Imani, E Dougherty, UM Braga-Neto Signals, Systems and Computers, 2017 51st Asilomar Conference on, 2017 | 37 | 2017 |
| Point-based methodology to monitor and control gene regulatory networks via noisy measurements M Imani, UM Braga-Neto IEEE Transactions on Control Systems Technology 27 (3), 1023-1035, 2019 | 35 | 2019 |
| State-feedback control of partially-observed Boolean dynamical systems using RNA-seq time series data M Imani, U Braga-Neto 2016 American Control Conference (ACC), 227-232, 2016 | 34 | 2016 |
| Adaptive Particle Filtering for Fault Detection in Partially-Observed Boolean Dynamical Systems A Bahadorinejad, M Imani, U Braga-Neto IEEE/ACM transactions on computational biology and bioinformatics 17 (4 …, 2020 | 31 | 2020 |
| Bayesian Optimization for Efficient Design of Uncertain Coupled Multidisciplinary Systems SF Ghoreishi, M Imani 2020 American Control Conference (ACC), 2020 | 29 | 2020 |
| Two-Stage Bayesian Optimization for Scalable Inference in State Space Models M Imani, SF Ghoreishi IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5138 - 5149, 2022 | 28 | 2022 |
| HDPG: Hyperdimensional Policy-based Reinforcement Learning for Continuous Control Y Ni, M Issa, M Imani, X Yin, M Imani Proc. 59th ACM/IEEE Design Automation Conference (DAC), 2022 | 28 | 2022 |
Ulisses Braga-NetoProfessor of Electrical and Computer Engineering, Texas A&M UniversityВерификована је имејл адреса на ece.tamu.edu
