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Syeda Hassan
Person information
- affiliation: Aalto University, Espoo, Finland
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2020 – today
- 2023
- [j4]Syeda Sakira Hassan, Simo Särkkä:
Fourier-Hermite Dynamic Programming for Optimal Control. IEEE Trans. Autom. Control. 68(10): 6377-6384 (2023) - [c3]Ajinkya Gorad, Sakira Hassan, Simo Särkkä:
Vessel Bearing Estimation Using Visible and Thermal Imaging. SCIA (2) 2023: 373-381 - 2022
- [c2]Muhammad F. Emzir, Niki A. Loppi, Zheng Zhao, Syeda Sakira Hassan, Simo Särkkä:
Fast optimize-and-sample method for differentiable Galerkin approximations of multi-layered Gaussian process priors. FUSION 2022: 1-7 - [i6]Sakira Hassan, Simo Särkkä:
Fourier-Hermite Dynamic Programming for Optimal Control. CoRR abs/2202.13453 (2022) - [i5]Syeda Sakira Hassan, Rahul Mangayil, Tommi Aho, Olli Yli-Harja, Matti Karp:
Identification of feasible pathway information for c-di-GMP binding proteins in cellulose production. CoRR abs/2204.12526 (2022) - [i4]Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä:
Parallel square-root statistical linear regression for inference in nonlinear state space models. CoRR abs/2207.00426 (2022) - 2021
- [j3]Syeda Sakira Hassan, Simo Särkkä, Ángel F. García-Fernández:
Temporal Parallelization of Inference in Hidden Markov Models. IEEE Trans. Signal Process. 69: 4875-4887 (2021) - [c1]Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä:
Parallel Iterated Extended and Sigma-Point Kalman Smoothers. ICASSP 2021: 5350-5354 - [i3]Fatemeh Yaghoobi, Adrien Corenflos, Sakira Hassan, Simo Särkkä:
Parallel Iterated Extended and Sigma-point Kalman Smoothers. CoRR abs/2102.00514 (2021) - [i2]Sakira Hassan, Simo Särkkä, Ángel F. García-Fernández:
Temporal Parallelization of Inference in Hidden Markov Models. CoRR abs/2102.05743 (2021)
2010 – 2019
- 2019
- [b1]Syeda Hassan:
Regularization in Machine Learning with Applications in Biology. University of Tampere, Finland, 2019 - [j2]Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi, Jussi Tohka:
Bayesian receiver operating characteristic metric for linear classifiers. Pattern Recognit. Lett. 128: 52-59 (2019) - [i1]Syeda Sakira Hassan, Heikki Huttunen, Jari Niemi, Jussi Tohka:
Bayesian Receiver Operating Characteristic Metric for Linear Classifiers. CoRR abs/1908.08771 (2019) - 2013
- [j1]Syeda Hassan, Muhammad Farhan, Rahul Mangayil, Heikki Huttunen, Tommi Aho:
Bioprocess data mining using regularized regression and random forests. BMC Syst. Biol. 7(S-1): S5 (2013)
Coauthor Index
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