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
173 2017 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
152 2016 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
42 2016 Efficient multi-objective optimization through population-based parallel surrogate search T Akhtar, CA Shoemaker
arXiv preprint arXiv:1903.02167, 2019
22 2019 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
18 2021 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
16 2016 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
11 2021 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
11 2021 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
10 2022 Pakistan’s Water Resources: Overview and Challenges MA Watto, M Mitchell, T Akhtar
Water Resources of Pakistan: Issues and Impacts 9, 1-12, 2021
10 2021 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
8 2022 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
6 2020 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
4 2021 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
3 2022 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
3 2019 Combining local surrogates and adaptive restarts for global optimization of moderately expensive functions T Akhtar, CA Shoemaker
AIP Conference Proceedings 2070 (1), 2019
3 2019 Hydrologic interpretation of machine learning models for 10-daily streamflow simulation in climate sensitive upper Indus catchments H Mushtaq, T Akhtar, MZR Hashmi, A Masood, F Saeed
Theoretical and Applied Climatology, 1-18, 2024
2 2024 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
1 2023 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
1 2019 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
1 2019