Peyman Sheikholharam

According to our database, Peyman Sheikholharam authored at least 13 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Predicting Vehicle Behavior Using Multi-task Ensemble Learning.

Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Daniel Tegnered, Jens Lundström, Thorsteinn S. Rögnvaldsson

Expert Syst. Appl., 2023

Fast Genetic Algorithm for feature selection - A qualitative approximation approach.

Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi

Expert Syst. Appl., 2023

Learning Causal Mechanisms through Orthogonal Neural Networks.

Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk

CoRR, 2023

AID4HAI: Automatic Idea Detection for Healthcare-Associated Infections from Twitter, a Framework Based on Active Learning and Transfer Learning.

Zahra Kharazian, Mahmoud Rahat, Fábio F. Gama, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Tony Lindgren, Sindri Magnússon

Proceedings of the Advances in Intelligent Data Analysis XXI, 2023

Optimal Task Grouping Approach in Multitask Learning.

Reza Khoshkangini, Mohsen Tajgardan, Peyman Sheikholharam Mashhadi, Thorsteinn S. Rögnvaldsson, Daniel Tegnered

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2021

Parallel orthogonal deep neural network.

Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Sepideh Pashami

Neural Networks, 2021

Predicting hybrid vehicles' fuel and electric consumption using multitask learning.

Venkata Sai Vivek Uddagiri, Shankara Narayanan Bangalore Ramalingam, Mahmoud Rahat, Peyman Sheikholharam Mashhadi

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Extracting Invariant Features for Predicting State of Health of Batteries in Hybrid Energy Buses.

Mohammed Ghaith Altarabichi, Yuantao Fan, Sepideh Pashami, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Surrogate-Assisted Genetic Algorithm for Wrapper Feature Selection.

Mohammed Ghaith Altarabichi, Slawomir Nowaczyk, Sepideh Pashami, Peyman Sheikholharam Mashhadi

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Early Prediction of Quality Issues in Automotive Modern Industry.

Reza Khoshkangini, Peyman Sheikholharam Mashhadi, Peter Berck, Saeed Gholami Shahbandi, Sepideh Pashami, Slawomir Nowaczyk, Tobias Niklasson

Inf., 2020

Resource allocation mechanisms in cloud computing: a systematic literature review.

Mostafa Vakili Fard, Amir Sahafi, Amir Masoud Rahmani, Peyman Sheikholharam Mashhadi

IET Softw., 2020

2019

Boosted Test-FDA: a transductive boosting method.

Peyman Sheikholharam Mashhadi

Pattern Anal. Appl., 2019

2008

Music Composition Using Combination of Genetic Algorithms and Recurrent Neural Networks.

Peyman Sheikholharam, Mohammad Teshnehlab

Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008