Peyman Sheikholharam Mashhadi
Peyman Sheikholharam Mashhadi
Senior Lecturer, Center for Applied Intelligent Systems Research, Halmstad University
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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
Early prediction of quality issues in automotive modern industry
R Khoshkangini, P Sheikholharam Mashhadi, P Berck, ...
Information 11 (7), 354, 2020
Stacked ensemble of recurrent neural networks for predicting turbocharger remaining useful life
PS Mashhadi, S Nowaczyk, S Pashami
Applied Sciences 10 (1), 69, 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
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
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
Parallel orthogonal deep neural network
PS Mashhadi, S Nowaczyk, S Pashami
Neural Networks 140, 167-183, 2021
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
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
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
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
Stacking ensembles of heterogenous classifiers for fault detection in evolving environments
MG Altarabichi, P Mashhadi, Y Fan, S Pashami, S Nowaczyk, P Moral, ...
30th european safety and reliability conference, esrel 2020 and 15th …, 2020
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
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
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, Transactions A: Basics 34 (4), 843-853, 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
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
Optimal Task Grouping Approach in Multitask Learning
R Khoshkangini, M Tajgardan, P Mashhadi, T Rögnvaldsson, D Tegnered
International Conference on Neural Information Processing, 206-225, 2023
Boosted Test-FDA: a transductive boosting method
PS Mashhadi
Pattern Analysis and Applications, 2018
Patterns with different phases but same statistics
PS Mashhadi, MA Shoorehdeli, M Teshnehlab
JOSA A 30 (9), 1796-1805, 2013
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