Peyman Sheikholharam

According to our database, Peyman Sheikholharam authored at least 19 papers between 2008 and 2024.

Collaborative distances:

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

2024

Rolling the dice for better deep learning performance: A study of randomness techniques in deep neural networks.

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

Inf. Sci., 2024

Volvo Discovery Challenge at ECML-PKDD 2024.

Mahmoud Rahat, Peyman Sheikholharam Mashhadi, Slawomir Nowaczyk, Shamik Choudhury, Leo Petrin, Thorsteinn S. Rögnvaldsson, Andreas Voskou, Carlo Metta, Claudio Savelli

CoRR, 2024

Expected Grad-CAM: Towards gradient faithfulness.

Vincenzo Buono, Peyman Sheikholharam Mashhadi, Mahmoud Rahat, Prayag Tiwari, Stefan Byttner

CoRR, 2024

Steered Metaheuristic Optimization Approach for Vehicle Breakdown Prediction.

Mohsen Tajgardan, Reza Khoshkangini, Peyman Mashhadi

Proceedings of the 2024 8th International Conference on Information System and Data Mining, 2024

Invariant Feature Selection for Battery State of Health Estimation in Heterogeneous Hybrid Electric Bus Fleets.

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

Proceedings of Workshop on Embracing Human-Aware AI in Industry 5.0 (HAII5.0 2024) co-located with the 27th European Conference on Artificial Intelligence (ECAI 2024), 2024

A Review of Randomness Techniques in Deep Neural Networks.

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

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

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