Early prediction of quality issues in automotive modern industry R Khoshkangini, P Sheikholharam Mashhadi, P Berck, ... Information 11 (7), 354, 2020 | 30 | 2020 |
Fast Genetic Algorithm for feature selection—A qualitative approximation approach MG Altarabichi, S Nowaczyk, S Pashami, P Sheikholharam Mashhadi Proceedings of the companion conference on genetic and evolutionary …, 2023 | 29 | 2023 |
Stacked ensemble of recurrent neural networks for predicting turbocharger remaining useful life PS Mashhadi, S Nowaczyk, S Pashami Applied Sciences 10 (1), 69, 2019 | 21 | 2019 |
Resource allocation mechanisms in cloud computing: a systematic literature review MV Fard, A Sahafi, AM Rahmani, PS Mashhadi IET Software 14 (6), 638-653, 2020 | 19 | 2020 |
Music composition using combination of genetic algorithms and kohonen grammar P Sheikholharam, M Teshnehlab 2008 International Symposium on Computational Intelligence and Design 1, 255-260, 2008 | 14 | 2008 |
Parallel orthogonal deep neural network PS Mashhadi, S Nowaczyk, S Pashami Neural Networks 140, 167-183, 2021 | 10 | 2021 |
Music composition using combination of genetic algorithms and recurrent neural networks P Sheikholharam, M Teshnehlab 2008 Eighth International Conference on Hybrid Intelligent Systems, 350-355, 2008 | 10 | 2008 |
Predicting vehicle behavior using multi-task ensemble learning R Khoshkangini, P Mashhadi, D Tegnered, J Lundström, T Rögnvaldsson Expert systems with applications 212, 118716, 2023 | 9 | 2023 |
Surrogate-assisted genetic algorithm for wrapper feature selection MG Altarabichi, S Nowaczyk, S Pashami, PS Mashhadi 2021 IEEE congress on evolutionary computation (CEC), 776-785, 2021 | 9 | 2021 |
Domain adaptation in predicting turbocharger failures using vehicle’s sensor measurements M Rahat, PS Mashhadi, S Nowaczyk, T Rognvaldsson, A Taheri, A Abbasi Phm society european conference 7 (1), 432-439, 2022 | 7 | 2022 |
Stacking ensembles of heterogenous classifiers for fault detection in evolving environments MG Altarabichi, P Sheikholharam Mashhadi, Y Fan, S Pashami, ... 30th European Safety and Reliability Conference, ESREL 2020 and 15th …, 2020 | 6 | 2020 |
Extracting invariant features for predicting state of health of batteries in hybrid energy buses MG Altarabichi, Y Fan, S Pashami, PS Mashhadi, S Nowaczyk 2021 ieee 8th international conference on data science and advanced …, 2021 | 5 | 2021 |
Quality Optimization of Live Streaming Services over HTTP with Reinforcement Learning F Tashtarian, R Falanji, A Bentaleb, A Erfanian, PS Mashhadi, ... 2021 IEEE Global Communications Conference (GLOBECOM), 1-6, 2021 | 4 | 2021 |
Proposing a new image watermarking method using shearlet transform and whale optimization algorithm M Saadati, J Vahidi, V Seydi, P Sheikholharam Mashhadi International Journal of Engineering 34 (4), 843-853, 2021 | 3 | 2021 |
Predicting hybrid vehicles' fuel and electric consumption using multitask learning VSV Uddagiri, SNB Ramalingam, M Rahat, PS Mashhadi 2021 ieee 8th international conference on data science and advanced …, 2021 | 2 | 2021 |
Bridging the Gap: A Comparative Analysis of Regressive Remaining Useful Life Prediction and Survival Analysis Methods for Predictive Maintenance M Rahat, Z Kharazian, PS Mashhadi, T Rögnvaldsson, S Choudhury PHM Society Asia-Pacific Conference 4 (1), 2023 | 1 | 2023 |
Boosted Test-FDA: a transductive boosting method PS Mashhadi Pattern Analysis and Applications, 2018 | 1* | 2018 |
Patterns with different phases but same statistics PS Mashhadi, MA Shoorehdeli, M Teshnehlab JOSA A 30 (9), 1796-1805, 2013 | 1 | 2013 |
Vehicles behavioral prediction using multi-task ensemble learning R Khoshkangini, P Mashhadi, D Tegnered, T Rögnvaldsson Available at SSRN 4087639, 0 | 1 | |
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks MG Altarabichi, S Nowaczyk, S Pashami, PS Mashhadi, J Handl Information Sciences 667, 120500, 2024 | | 2024 |