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Author

Neda Tavakoli

Observed names: Tavakoli Neda, Tavakoli, Neda
ORCID: 0000-0002-1541-5917
Observed ORCID: 0000-0002-1541-5917
OpenAlex ID: A5046014937
The Performance of LSTM and BiLSTM in Forecasting Time Series
2019 · Sima Siami-Namini, Neda Tavakoli, et al. · IEEE International Conference on Big Data (BigData) · 1,734
A Comparison of ARIMA and LSTM in Forecasting Time Series
2018 · Sima Siami-Namini, Neda Tavakoli, et al. · IEEE International Conference on Machine Learning and Applications (ICMLA) · 1,381
How AI Responds to Common Lung Cancer Questions: ChatGPT versus Google Bard
2023 · Amir Ali Rahsepar, Neda Tavakoli, et al. · Radiology · 283
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM
2019 · Siami-Namini, Sima, Tavakoli, Neda, et al. · arXiv (Cornell University) · 99
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An autoencoder-based deep learning approach for clustering time series data
2020 · Neda Tavakoli, Sima Siami-Namini, et al. · SN Applied Sciences · 74
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Modeling Genome Data Using Bidirectional LSTM
2019 · Neda Tavakoli · IEEE Annual Computer Software and Applications Conference (COMPSAC) · 41
Generative AI and Foundation Models in Radiology: Applications, Opportunities, and Potential Challenges
2025 · Neda Tavakoli, Zahra Shakeri, et al. · Radiology · 20
Using experiential learning to teach and learn digital forensics: Educator and student perspectives
2021 · Raymond Flores, Akbar Siami Namin, et al. · Computers and Education Open · 17
Seq2Image: Sequence Analysis using Visualization and Deep Convolutional Neural Network
2020 · Neda Tavakoli · IEEE Annual Computers, Software, and Applications Conference (COMPSAC) · 14
Client-side straggler-aware I/O scheduler for object-based parallel file systems
2018 · Neda Tavakoli, Dong Dai, et al. · Parallel Computing · 14
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Log-Assisted Straggler-Aware I/O Scheduler for High-End Computing
2016 · Neda Tavakoli, Dong Dai, et al. · Proceedings - International Workshops on Parallel Processing · 14
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition
2020 · Nair, Varsha, Chatterjee, Moitrayee, et al. · arXiv (Cornell University) · 13
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A variant selection framework for genome graphs
2021 · Chirag Jain, Neda Tavakoli, et al. · Bioinformatics · 11
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Clustering Time Series Data through Autoencoder-based Deep Learning Models
2020 · Tavakoli, Neda, Siami-Namini, Sima, et al. · arXiv (Cornell University) · 11
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Optimizing CNN using Fast Fourier Transformation for Object Recognition
2020 · Varsha Nair, Moitrayee Chatterjee, et al. · IEEE International Conference on Machine Learning and Applications (ICMLA) · 8
ScarNet: a novel foundation model for automated myocardial scar quantification from late gadolinium-enhancement images
2025 · Neda Tavakoli, Amir Ali Rahsepar, et al. · Journal of Cardiovascular Magnetic Resonance · 6
DRL-STNet: Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation via Disentangled Representation Learning
2025 · Hui Lin, Florian Schiffers, et al. · Lecture notes in computer science · 4
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AI-generated Clinical Histories for Radiology Reports: Closing the Information Gap
2025 · Neda Tavakoli, Daniel Kim · Radiology · 3
GenSegNet: Leveraging Synthetic Sequences and Pseudo Labels for Multi-sequence Myocardial Pathology Segmentation
2025 · Hui Lin, Neda Tavakoli, et al. · Lecture notes in computer science · 3
Haplotype-aware variant selection for genome graphs
2022 · Neda Tavakoli, Daniel Gibney, et al. · ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) · 3
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A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic
2020 · Luis Felipe Gutierrez, Sima Siami-Namini, et al. · IEEE International Conference on Big Data (BigData) · 3
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On Computing Average Common Substring Over Run Length Encoded Sequences
2018 · Sahar Hooshmand, Neda Tavakoli, et al. · Fundamenta Informaticae · 3
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Erratum for: Generative AI and Foundation Models in Radiology: Applications, Opportunities, and Potential Challenges
2025 · Neda Tavakoli, Zahra Shakeri, et al. · Radiology · 2
A Software-Defined QoS Provisioning Framework for HPC Applications
2018 · Tavakoli, Neda, Chen, Yong · arXiv (Cornell University) · 2
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ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from LGE in Cardiac MRI
2025 · Tavakoli, Neda, Rahsepar, Amir Ali, et al. · arXiv (Cornell University) · 1
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Works count: 38
Citation count: 3,768
H-index: 12
I10-index: 14
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