Abdolrahman Peimankar

According to our database, Abdolrahman Peimankar authored at least 16 papers between 2016 and 2024.

Collaborative distances:

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

2024

xECG-Beats: an explainable deep transfer learning approach for ECG-based heartbeat classification.

Abdolrahman Peimankar, Ali Ebrahimi, Uffe Kock Wiil

Netw. Model. Anal. Health Informatics Bioinform., December, 2024

Energy Expenditure Prediction from Accelerometry Data Using Long Short-Term Memory Recurrent Neural Networks.

Martin Vibæk, Abdolrahman Peimankar, Uffe Kock Wiil, Daniel Arvidsson, Jan Christian Brønd

Sensors, April, 2024

Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach.

Ricco Noel Hansen Flyckt, Louise Sjodsholm, Margrethe Høstgaard Bang Henriksen, Claus Lohman Brasen, Ali Ebrahimi, Ole Hilberg, Torben Frøstrup Hansen, Uffe Kock Wiil, Lars Henrik Jensen, Abdolrahman Peimankar

CoRR, 2024

2023

AUD-DSS: a decision support system for early detection of patients with alcohol use disorder.

Ali Ebrahimi, Uffe Kock Wiil, Ruben Baskaran, Abdolrahman Peimankar, Kjeld Andersen, Anette Søgaard Nielsen

BMC Bioinform., December, 2023

A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders.

Abdolrahman Peimankar, Trine Straarup Winther, Ali Ebrahimi, Uffe Kock Wiil

Sensors, January, 2023

Transformers for Detection of Distressed Cardiac Patients with an ICD Based on Danish Text Messages.

Julie Dittmann Weimar Andersen, Marcus Lomstein Jensen, Uffe Kock Wiil, Søren Skovbakke, Ole Skov, Susanne S. Pedersen, Abdolrahman Peimankar, Ali Ebrahimi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches.

Masud Shah Jahan, Marjan Mansourvar, Sadasivan Puthusserypady, Uffe Kock Wiil, Abdolrahman Peimankar

Int. J. Medical Informatics, 2022

Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection.

Devender Kumar, Abdolrahman Peimankar, Kamal Sharma, Helena Dominguez, Sadasivan Puthusserypady, Jakob E. Bardram

Comput. Methods Programs Biomed., 2022

2021

DENS-ECG: A deep learning approach for ECG signal delineation.

Abdolrahman Peimankar, Sadasivan Puthusserypady

Expert Syst. Appl., 2021

2019

A deep learning approach for real-time detection of atrial fibrillation.

Rasmus S. Andersen, Abdolrahman Peimankar, Sadasivan Puthusserypady

Expert Syst. Appl., 2019

Automatic Detection of Cardiac Arrhythmias Using Ensemble Learning.

Abdolrahman Peimankar, Mona Jafar Jajroodi, Sadasivan Puthusserypady

Proceedings of the TENCON 2019, 2019

An Ensemble of Deep Recurrent Neural Networks for P-wave Detection in Electrocardiogram.

Abdolrahman Peimankar, Sadasivan Puthusserypady

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Multi-objective ensemble forecasting with an application to power transformers.

Abdolrahman Peimankar, Stephen John Weddell, Thahirah Jalal, Andrew Craig Lapthorn

Appl. Soft Comput., 2018

Ensemble Learning for Detection of Short Episodes of Atrial Fibrillation.

Abdolrahman Peimankar, Sadasivan Puthusserypady

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Evolutionary multi-objective fault diagnosis of power transformers.

Abdolrahman Peimankar, Stephen John Weddell, Thahirah Jalal, Andrew Craig Lapthorn

Swarm Evol. Comput., 2017

2016

Ensemble classifier selection using multi-objective PSO for fault diagnosis of power transformers.

Abdolrahman Peimankar, Stephen John Weddell, Thahirah Jalal, Andrew Craig Lapthorn

Proceedings of the IEEE Congress on Evolutionary Computation, 2016