Abdolrahman Peimankar

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Atrial Fibrillation

Recurrent Neural Networks

Fault Diagnosis

Top Venues

Expert Syst. Appl.

Publications

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
Pulmonologists-Level lung cancer detection based on standard blood test results and smoking status using an explainable machine learning approach. CoRR (2024)
Abdolrahman Peimankar, Ali Ebrahimi, Uffe Kock Wiil
xECG-Beats: an explainable deep transfer learning approach for ECG-based heartbeat classification. Netw. Model. Anal. Health Informatics Bioinform. 13 (1) (2024)
Martin Vibæk, Abdolrahman Peimankar, Uffe Kock Wiil, Daniel Arvidsson, Jan Christian Brønd
Energy Expenditure Prediction from Accelerometry Data Using Long Short-Term Memory Recurrent Neural Networks. Sensors 24 (8) (2024)
Ali Ebrahimi, Uffe Kock Wiil, Ruben Baskaran, Abdolrahman Peimankar, Kjeld Andersen, Anette Søgaard Nielsen
AUD-DSS: a decision support system for early detection of patients with alcohol use disorder. BMC Bioinform. 24 (1) (2023)
Julie Dittmann Weimar Andersen, Marcus Lomstein Jensen, Uffe Kock Wiil, Søren Skovbakke, Ole Skov, Susanne S. Pedersen, Abdolrahman Peimankar, Ali Ebrahimi
Transformers for Detection of Distressed Cardiac Patients with an ICD Based on Danish Text Messages. BIBM (2023)
Abdolrahman Peimankar, Trine Straarup Winther, Ali Ebrahimi, Uffe Kock Wiil
A Machine Learning Approach for Walking Classification in Elderly People with Gait Disorders. Sensors 23 (2) (2023)
Devender Kumar, Abdolrahman Peimankar, Kamal Sharma, Helena Dominguez, Sadasivan Puthusserypady, Jakob E. Bardram
Deepaware: A hybrid deep learning and context-aware heuristics-based model for atrial fibrillation detection. Comput. Methods Programs Biomed. 221 (2022)
Masud Shah Jahan, Marjan Mansourvar, Sadasivan Puthusserypady, Uffe Kock Wiil, Abdolrahman Peimankar
Short-term atrial fibrillation detection using electrocardiograms: A comparison of machine learning approaches. Int. J. Medical Informatics 163 (2022)
Abdolrahman Peimankar, Sadasivan Puthusserypady
DENS-ECG: A deep learning approach for ECG signal delineation. Expert Syst. Appl. 165 (2021)
Abdolrahman Peimankar, Sadasivan Puthusserypady
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation. CoRR (2020)
Rasmus S. Andersen, Abdolrahman Peimankar, Sadasivan Puthusserypady
A deep learning approach for real-time detection of atrial fibrillation. Expert Syst. Appl. 115 (2019)
Abdolrahman Peimankar, Mona Jafar Jajroodi, Sadasivan Puthusserypady
Automatic Detection of Cardiac Arrhythmias Using Ensemble Learning. TENCON (2019)
Abdolrahman Peimankar, Sadasivan Puthusserypady
An Ensemble of Deep Recurrent Neural Networks for P-wave Detection in Electrocardiogram. ICASSP (2019)
Abdolrahman Peimankar, Stephen John Weddell, Thahirah Jalal, Andrew Craig Lapthorn
Multi-objective ensemble forecasting with an application to power transformers. Appl. Soft Comput. 68 (2018)
Abdolrahman Peimankar, Sadasivan Puthusserypady
Ensemble Learning for Detection of Short Episodes of Atrial Fibrillation. EUSIPCO (2018)
Abdolrahman Peimankar, Stephen John Weddell, Thahirah Jalal, Andrew Craig Lapthorn
Evolutionary multi-objective fault diagnosis of power transformers. Swarm Evol. Comput. 36 (2017)
Abdolrahman Peimankar, Stephen John Weddell, Thahirah Jalal, Andrew Craig Lapthorn
Ensemble classifier selection using multi-objective PSO for fault diagnosis of power transformers. CEC (2016)