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ORCIDFarnoosh Naderkhani
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2020 – today
- 2024
[j9]Hasan Rasay, Fariba Azizi, Farnoosh Naderkhani
:
A mathematical maintenance model for a production system subject to deterioration according to a stochastic geometric process. Ann. Oper. Res. 340(1): 451-478 (2024)- [c21]Soroush Shahsafi, Farnoosh Naderkhani:
Enhancing Stock Trading Performance with Deep Q-Learning by Addressing Noisy Data through Advanced Denoising Techniques. FUSION 2024: 1-7 - 2023
- [c20]Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Spatio-Temporal Hybrid Fusion of CAE and SWin Transformers for Lung Cancer Malignancy Prediction. ICASSP 2023: 1-5 - [c19]Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Hamid Alinejad-Rokny, Arash Mohammadi:
HYDRA-HGR: A Hybrid Transformer-Based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information. ICASSP 2023: 1-5 - [c18]Mehrnaz Mirzaei, Marzieh Hashemzadeh Sadat, Farnoosh Naderkhani:
Application of Machine Learning for Anomaly Detection in Printed Circuit Boards Imbalance Date Set. ICPHM 2023: 128-133 - [c17]Hasan Rasay, Fariba Azizi, Mehrnaz Salmani, Farnoosh Naderkhani:
A Reinforcement Learning Algorithm for Optimal Dynamic Policies of Joint Condition-based Maintenance and Condition-based Production. ICPHM 2023: 134-138 - [c16]Hasan Rasay, Fariba Azizi, Mehrnaz Salmani, Farnoosh Naderkhani:
A Reinforcement Learning Algorithm for Optimal Dynamic Policies of Joint Condition-based Maintenance and Condition-based Production. ICPHM 2023: 200-204 - [c15]Mansooreh Montazerin, Farnoosh Naderkhani, Arash Mohammadi:
Spiking Neural Networks for sEMG-Based Hand Gesture Recognition. SMC 2023: 4859-4864 - 2022
- [j8]Farnoush Ronaghi, Mohammad Salimibeni, Farnoosh Naderkhani, Arash Mohammadi:
COVID19-HPSMP: COVID-19 adopted Hybrid and Parallel deep information fusion framework for stock price movement prediction. Expert Syst. Appl. 187: 115879 (2022) - [j7]Farnoosh Naderkhani:
Time to signal distribution of multivariate bayesian control chart with dual sampling scheme. Int. J. Prod. Res. 60(20): 6124-6147 (2022) - [j6]Kamyar Azar, Zohreh Hajiakhondi-Meybodi, Farnoosh Naderkhani:
Semi-supervised clustering-based method for fault diagnosis and prognosis: A case study. Reliab. Eng. Syst. Saf. 222: 108405 (2022) - [c14]Mansooreh Montazerin, Soheil Zabihi, Elahe Rahimian, Arash Mohammadi, Farnoosh Naderkhani:
ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals. EMBC 2022: 5115-5119 - [c13]Nastaran Enshaei, Moezedin Javad Rafiee, Farnoosh Naderkhani:
A Generalization Enhancement Approach for Deep Learning Segmentation Models: Application in COVID-19 Lesion Segmentation from Chest CT Slices. EUSIPCO 2022: 1362-1366 - [c12]Nastaran Enshaei, Moezedin Javad Rafiee, Arash Mohammadi, Farnoosh Naderkhani:
Data Shapley Value for Handling Noisy Labels: An Application in Screening Covid-19 Pneumonia from Chest CT Scans. ICASSP 2022: 1381-1385 - [c11]Fariba Azizi, Hasan Rasay, Farnoosh Naderkhani:
Dynamic Maintenance of Continuously Monitored Parallel Systems. ICPHM 2022: 12-16 - [c10]Hasan Rasay, Farnoosh Naderkhani, Amir-Mohammad Golmohammadi:
Reinforcement Learning based on Stochastic Dynamic Programming for Condition-based Maintenance of Deteriorating Production Processes. ICPHM 2022: 17-24 - [i15]Mansooreh Montazerin, Soheil Zabihi, Elahe Rahimian, Arash Mohammadi, Farnoosh Naderkhani:
ViT-HGR: Vision Transformer-based Hand Gesture Recognition from High Density Surface EMG Signals. CoRR abs/2201.10060 (2022) - [i14]Sadaf Khademi, Shahin Heidarian, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Spatio-Temporal Hybrid Fusion of CAE and SWIn Transformers for Lung Cancer Malignancy Prediction. CoRR abs/2210.15297 (2022) - [i13]Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Hamid Alinejad-Rokny, Arash Mohammadi:
HYDRA-HGR: A Hybrid Transformer-based Architecture for Fusion of Macroscopic and Microscopic Neural Drive Information. CoRR abs/2211.02619 (2022) - [i12]Mansooreh Montazerin, Elahe Rahimian, Farnoosh Naderkhani, Seyed Farokh Atashzar, Svetlana N. Yanushkevich, Arash Mohammadi:
Transformer-based Hand Gesture Recognition via High-Density EMG Signals: From Instantaneous Recognition to Fusion of Motor Unit Spike Trains. CoRR abs/2212.00743 (2022) - 2021
- [j5]Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Faranak Babaki Fard, Kaveh Samimi, Seyed Farokh Atashzar, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-FACT: A Fully-Automated Capsule Network-Based Framework for Identification of COVID-19 Cases from Chest CT Scans. Frontiers Artif. Intell. 4: 598932 (2021) - [j4]Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Arash Mohammadi, Konstantinos N. Plataniotis:
MIXCAPS: A capsule network-based mixture of experts for lung nodule malignancy prediction. Pattern Recognit. 116: 107942 (2021) - [j3]Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis:
Diagnosis/Prognosis of COVID-19 Chest Images via Machine Learning and Hypersignal Processing: Challenges, opportunities, and applications. IEEE Signal Process. Mag. 38(5): 37-66 (2021) - [c9]Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani:
Ct-Caps: Feature Extraction-Based Automated Framework for Covid-19 Disease Identification From Chest Ct Scans Using Capsule Networks. ICASSP 2021: 1040-1044 - [c8]Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
Hybrid Deep Learning Model For Diagnosis Of Covid-19 Using Ct Scans And Clinical/Demographic Data. ICIP 2021: 180-184 - [c7]Hasan Rasay, Farnoosh Naderkhani:
Comparison of Two Maintenance Policies for the Coordination of Decisions of Quality Control and Maintenance Planning. ICPHM 2021: 1-6 - [d1]Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, Faranak Babaki Fard, Reut Anconina, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-19 Low-Dose and Ultra-Low-Dose CT Scans. IEEE DataPort, 2021
- [i11]Farnoush Ronaghi, Mohammad Salimibeni, Farnoosh Naderkhani, Arash Mohammadi:
COVID19-HPSMP: COVID-19 Adopted Hybrid and Parallel Deep Information Fusion Framework for Stock Price Movement Prediction. CoRR abs/2101.02287 (2021) - [i10]Parnian Afshar, Moezedin Javad Rafiee, Farnoosh Naderkhani, Shahin Heidarian, Nastaran Enshaei, Anastasia Oikonomou, Faranak Babaki Fard, Reut Anconina, Keyvan Farahani, Konstantinos N. Plataniotis, Arash Mohammadi:
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule Network. CoRR abs/2105.14656 (2021) - [i9]Nastaran Enshaei, Anastasia Oikonomou, Moezedin Javad Rafiee, Parnian Afshar, Shahin Heidarian, Arash Mohammadi, Konstantinos N. Plataniotis, Farnoosh Naderkhani:
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans. CoRR abs/2107.01527 (2021) - [i8]Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Akbar Shafiee, Faranak Babaki Fard, Konstantinos N. Plataniotis, Arash Mohammadi:
Robust Automated Framework for COVID-19 Disease Identification from a Multicenter Dataset of Chest CT Scans. CoRR abs/2109.09241 (2021) - [i7]Nastaran Enshaei, Moezedin Javad Rafiee, Arash Mohammadi, Farnoosh Naderkhani:
Data Shapley Value for Handling Noisy Labels: An application in Screening COVID-19 Pneumonia from Chest CT Scans. CoRR abs/2110.08726 (2021) - 2020
- [j2]Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images. Pattern Recognit. Lett. 138: 638-643 (2020) - [c6]Farnoush Ronaghi, Mohammad Salimibeni, Farnoosh Naderkhani, Arash Mohammadi:
ND-SMPF: A Noisy Deep Neural Network Fusion Framework for Stock Price Movement Prediction. FUSION 2020: 1-7 - [c5]Safwan Ahmad, Nastaran Enshaei, Farnoosh Naderkhani, Anjali Awasthi:
Integrated Deep Learning and Statistical Process Control for Online Monitoring of Manufacturing Processes. ICPHM 2020: 1-6 - [c4]Kamyar Azar, Farnoosh Naderkhani:
Semi-Supervised Learning Approach for Optimizing Condition-based-Maintenance (CBM) Decisions. ICPHM 2020: 1-6 - [c3]Nastaran Enshaei, Safwan Ahmad, Farnoosh Naderkhani:
Automated detection of textured-surface defects using UNet-based semantic segmentation network. ICPHM 2020: 1-5 - [c2]Hasan Rasay, Farnoosh Naderkhani:
Designing a Reliability Quick Switching Sampling Plan based on the Lifetime Performance Index. ICPHM 2020: 1-7 - [i6]Parnian Afshar, Shahin Heidarian, Farnoosh Naderkhani, Anastasia Oikonomou, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images. CoRR abs/2004.02696 (2020) - [i5]Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Arash Mohammadi, Konstantinos N. Plataniotis:
MIXCAPS: A Capsule Network-based Mixture of Experts for Lung Nodule Malignancy Prediction. CoRR abs/2008.06072 (2020) - [i4]Parnian Afshar, Shahin Heidarian, Nastaran Enshaei, Farnoosh Naderkhani, Moezedin Javad Rafiee, Anastasia Oikonomou, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi:
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning. CoRR abs/2009.14623 (2020) - [i3]Shahin Heidarian, Parnian Afshar, Nastaran Enshaei, Farnoosh Naderkhani, Anastasia Oikonomou, Seyed Farokh Atashzar, Faranak Babaki Fard, Kaveh Samimi, Konstantinos N. Plataniotis, Arash Mohammadi, Moezedin Javad Rafiee:
COVID-FACT: A Fully-Automated Capsule Network-based Framework for Identification of COVID-19 Cases from Chest CT scans. CoRR abs/2010.16041 (2020) - [i2]Shahin Heidarian, Parnian Afshar, Arash Mohammadi, Moezedin Javad Rafiee, Anastasia Oikonomou, Konstantinos N. Plataniotis, Farnoosh Naderkhani:
CT-CAPS: Feature Extraction-based Automated Framework for COVID-19 Disease Identification from Chest CT Scans using Capsule Networks. CoRR abs/2010.16043 (2020) - [i1]Arash Mohammadi, Yingxu Wang, Nastaran Enshaei, Parnian Afshar, Farnoosh Naderkhani, Anastasia Oikonomou, Moezedin Javad Rafiee, Helder Cesar Rodigues de Oliveira, Svetlana N. Yanushkevich, Konstantinos N. Plataniotis:
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications. CoRR abs/2012.14106 (2020)
2010 – 2019
- 2019
- [c1]Nastaran Enshaei, Farnoosh Naderkhani:
Application of Deep Learning for Fault Diagnostic in Induction Machine's Bearings. ICPHM 2019: 1-7 - 2018
- [j1]Leila Jafari, Farnoosh Naderkhani, Viliam Makis:
Joint optimization of maintenance policy and inspection interval for a multi-unit series system using proportional hazards model. J. Oper. Res. Soc. 69(1): 36-48 (2018)
Coauthor Index
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