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Taimoor Akhtar
Taimoor Akhtar
Verified email at uoguelph.ca
Title
Cited by
Cited by
Year
Efficient hyperparameter optimization for deep learning algorithms using deterministic rbf surrogates
I Ilievski, T Akhtar, J Feng, C Shoemaker
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
1712017
Multi objective optimization of computationally expensive multi-modal functions with RBF surrogates and multi-rule selection
T Akhtar, CA Shoemaker
Journal of Global Optimization 64, 17-32, 2016
1492016
SOP: parallel surrogate global optimization with Pareto center selection for computationally expensive single objective problems
T Krityakierne, T Akhtar, CA Shoemaker
Journal of Global Optimization 66, 417-437, 2016
412016
Efficient multi-objective optimization through population-based parallel surrogate search
T Akhtar, CA Shoemaker
arXiv preprint arXiv:1903.02167, 2019
222019
Efficient parallel surrogate optimization algorithm and framework with application to parameter calibration of computationally expensive three-dimensional hydrodynamic lake PDE …
W Xia, C Shoemaker, T Akhtar, MT Nguyen
Environmental Modelling & Software 135, 104910, 2021
182021
Hyperparameter optimization of deep neural networks using non-probabilistic RBF surrogate model
I Ilievski, T Akhtar, J Feng, CA Shoemaker
CoRR abs/1607.08316, 1-8, 2016
162016
Can-GLWS: Canadian great lakes weather service for the soil and water assessment tool (SWAT) modelling
NK Shrestha, T Akhtar, U Ghimire, RP Rudra, PK Goel, R Shukla, ...
Journal of Great Lakes Research 47 (1), 242-251, 2021
112021
Advancing model calibration and uncertainty analysis of SWAT models using cloud computing infrastructure: LCC-SWAT
M Zamani, NK Shrestha, T Akhtar, T Boston, P Daggupati
Journal of Hydroinformatics 23 (1), 1-15, 2021
112021
Integrating -dominance and RBF surrogate optimization for solving computationally expensive many-objective optimization problems
W Wang, T Akhtar, CA Shoemaker
Journal of Global Optimization 82 (4), 965-992, 2022
102022
Pakistan’s Water Resources: Overview and Challenges
MA Watto, M Mitchell, T Akhtar
Water Resources of Pakistan: Issues and Impacts 9, 1-12, 2021
92021
Drought monitoring and prediction in climate vulnerable Pakistan: Integrating hydrologic and meteorologic perspectives
T Akhtar, H Mushtaq, MZR Hashmi
Hydrology and Earth System Sciences Discussions 2020, 1-29, 2020
62020
A long-term global comparison of IMERG and CFSR with surface precipitation stations
U Ghimire, T Akhtar, NK Shrestha, PK Paul, C Schürz, R Srinivasan, ...
Water Resources Management 36 (14), 5695-5709, 2022
52022
Water Security in Pakistan: Availability, Accessibility and Utilisation
T Akhtar, HF Khan, D Mustafa
Water Resources of Pakistan: Issues and Impacts 9, 57-78, 2021
42021
A novel objective function DYNO for automatic multivariable calibration of 3D lake models
W Xia, T Akhtar, CA Shoemaker
Hydrology and Earth System Sciences 26 (13), 3651-3671, 2022
32022
Development of Asia Pacific Weather Statistics (APWS) dataset for use in Soil and Water Assessment Tool (SWAT) simulation
U Ghimire, T Akhtar, N Shrestha, P Daggupati
Earth System Science Data Discussions 2019, 1-30, 2019
32019
Combining local surrogates and adaptive restarts for global optimization of moderately expensive functions
T Akhtar, CA Shoemaker
AIP Conference Proceedings 2070 (1), 2019
32019
Hydrologic Interpretation of Machine Learning Models for 10-daily streamflow simulation in Climate sensitive Upper Indus Catchments
H Mushtaq, T Akhtar, M Zia-ur-Rahman Hashmi, A Masood
Hydrology and Earth System Sciences Discussions 2022, 1-32, 2022
22022
Past and future changes toward earlier timing of streamflow over Pakistan from bias-corrected regional climate projections (1962–2099)
S Ali, BH Kim, T Akhtar, J Kam
Journal of Hydrology 617, 128959, 2023
12023
Surrogate Many Objective Optimization: Combining Evolutionary Search,-Dominance and Connected Restarts
T Akhtar, CA Shoemaker, W Wang
World Congress on Global Optimization, 681-690, 2019
12019
An adaptive population-based candidate search algorithm with surrogates for global multi objective optimization of expensive functions
CA Shoemaker, T Akhtar
AIP Conference proceedings 2070 (1), 2019
12019
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Articles 1–20