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ORCIDAbdolrahman Peimankar
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2020 – today
- 2025
[j11]Abdolrahman Peimankar, Olav Sivertsen Garvik, Bente Mertz Nørgård, Jens Søndergaard, Dorte Jarbøl, Sonja Wehberg, Søren Paludan Sheikh, Ali Ebrahimi, Uffe Kock Wiil, Maria Iachina:
Prescription data and demographics: An explainable machine learning exploration of colorectal cancer risk factors based on data from Danish national registries. Comput. Methods Programs Biomed. 267: 108774 (2025)- 2024
- [j10]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): 45 (2024) - [j9]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): 2520 (2024) - [i2]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 abs/2402.09596 (2024) - 2023
- [j8]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): 329 (2023) - [j7]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): 679 (2023) - [c5]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: 4275-4281 - 2022
- [j6]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: 106899 (2022) - [j5]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: 104790 (2022) - 2021
- [j4]Abdolrahman Peimankar, Sadasivan Puthusserypady:
DENS-ECG: A deep learning approach for ECG signal delineation. Expert Syst. Appl. 165: 113911 (2021) - 2020
- [i1]Abdolrahman Peimankar, Sadasivan Puthusserypady:
DENS-ECG: A Deep Learning Approach for ECG Signal Delineation. CoRR abs/2005.08689 (2020)
2010 – 2019
- 2019
- [j3]Rasmus S. Andersen, Abdolrahman Peimankar, Sadasivan Puthusserypady:
A deep learning approach for real-time detection of atrial fibrillation. Expert Syst. Appl. 115: 465-473 (2019) - [c4]Abdolrahman Peimankar, Sadasivan Puthusserypady:
An Ensemble of Deep Recurrent Neural Networks for P-wave Detection in Electrocardiogram. ICASSP 2019: 1284-1288 - [c3]Abdolrahman Peimankar, Mona Jafar Jajroodi, Sadasivan Puthusserypady:
Automatic Detection of Cardiac Arrhythmias Using Ensemble Learning. TENCON 2019: 383-388 - 2018
- [j2]Abdolrahman Peimankar, Stephen John Weddell, Thahirah Jalal, Andrew Craig Lapthorn:
Multi-objective ensemble forecasting with an application to power transformers. Appl. Soft Comput. 68: 233-248 (2018) - [c2]Abdolrahman Peimankar, Sadasivan Puthusserypady:
Ensemble Learning for Detection of Short Episodes of Atrial Fibrillation. EUSIPCO 2018: 66-70 - 2017
- [j1]Abdolrahman Peimankar, Stephen John Weddell, Thahirah Jalal, Andrew Craig Lapthorn:
Evolutionary multi-objective fault diagnosis of power transformers. Swarm Evol. Comput. 36: 62-75 (2017) - 2016
- [c1]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: 3622-3629
Coauthor Index
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