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ORCIDPeyman Sheikholharam
Person information
- affiliation: Halmstad University, Center for Applied Intelligent Systems Research, Halmstad, Sweden
- affiliation: Islamic Azad University, Tehran, Iran
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2020 – today
- 2024
[j7]Mohammed Ghaith Altarabichi
, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl:
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks. Inf. Sci. 667: 120500 (2024)- [c10]Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl:
A Review of Randomness Techniques in Deep Neural Networks. GECCO Companion 2024: 23-24 - [c9]Yuantao Fan, Mohammed Ghaith Altarabichi, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk:
Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets. HAII5.0@ECAI 2024 - [c8]Mohsen Tajgardan, Reza Khoshkangini, Peyman Mashhadi:
Steered Metaheuristic Optimization Approach for Vehicle Breakdown Prediction. ICISDM 2024: 128-135 - [i6]Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Julia Handl:
Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks. CoRR abs/2404.03992 (2024) - [i5]Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi:
Fast Genetic Algorithm for feature selection - A qualitative approximation approach. CoRR abs/2404.03996 (2024) - [i4]Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat, Prayag Tiwari, Stefan Byttner:
Expected Grad-CAM: Towards gradient faithfulness. CoRR abs/2406.01274 (2024) - [i3]Mahmoud Rahat, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Shamik Choudhury, Leo Petrin, Thorsteinn S. Rögnvaldsson, Andreas Voskou, Carlo Metta, Claudio Savelli:
Volvo Discovery Challenge at ECML-PKDD 2024. CoRR abs/2409.11446 (2024) - 2023
- [j6]Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi:
Fast Genetic Algorithm for feature selection - A qualitative approximation approach. Expert Syst. Appl. 211: 118528 (2023) - [j5]Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Daniel Tegnered, Jens Lundström, Thorsteinn S. Rögnvaldsson:
Predicting Vehicle Behavior Using Multi-task Ensemble Learning. Expert Syst. Appl. 212: 118716 (2023) - [c7]Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi:
Fast Genetic Algorithm for feature selection - A qualitative approximation approach. GECCO Companion 2023: 11-12 - [c6]Reza Khoshkangini, Mohsen Tajgardan, Peyman Sheikholharam Mashhadi, Thorsteinn S. Rögnvaldsson, Daniel Tegnered:
Optimal Task Grouping Approach in Multitask Learning. ICONIP (6) 2023: 206-225 - [c5]Zahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon:
AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning. IDA 2023: 195-207 - [i2]Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk:
Learning Causal Mechanisms through Orthogonal Neural Networks. CoRR abs/2306.03938 (2023) - 2021
- [j4]Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Sepideh Pashami:
Parallel orthogonal deep neural network. Neural Networks 140: 167-183 (2021) - [c4]Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi:
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. CEC 2021: 776-785 - [c3]Mohammed Ghaith Altarabichi, Yuantao Fan, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk:
Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses. DSAA 2021: 1-6 - [c2]Venkata Sai Vivek Uddagiri, Shankara Narayanan Bangalore Ramalingam, Mahmoud Rahat, Peyman Sheikholharam Mashhadi:
Predicting hybrid vehicles' fuel and electric consumption using multitask learning. DSAA 2021: 1-6 - [i1]Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi:
Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection. CoRR abs/2111.09074 (2021) - 2020
- [j3]Mostafa Vakili Fard, Amir Sahafi, Amir Masoud Rahmani, Peyman Sheikholharam Mashhadi:
Resource allocation mechanisms in cloud computing: a systematic literature review. IET Softw. 14(6): 638-653 (2020) - [j2]Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Peter Berck, Saeed Gholami Shahbandi, Sepideh Pashami, Slawomir Nowaczyk, Tobias Niklasson:
Early Prediction of Quality Issues in Automotive Modern Industry. Inf. 11(7): 354 (2020)
2010 – 2019
- 2019
- [j1]Peyman Sheikholharam Mashhadi:
Boosted Test-FDA: a transductive boosting method. Pattern Anal. Appl. 22(1): 115-131 (2019)
2000 – 2009
- 2008
- [c1]Peyman Sheikholharam, Mohammad Teshnehlab:
Music Composition Using Combination of Genetic Algorithms and Recurrent Neural Networks. HIS 2008: 350-355
Coauthor Index
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