Log-Assisted Straggler-Aware I/O Scheduler for High-End Computing. - Neda Tavakoli; Dong Dai 001; Yong Chen 001 (ICPP Workshops, 2016)

A Comparison of ARIMA and LSTM in Forecasting Time Series. - Sima Siami-Namini; Neda Tavakoli; Akbar Siami Namin (ICMLA, 2018)

A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems. - Neda Tavakoli; Dong Dai 001; John Jenkins; Philip H. Carns; Robert B. Ross; Yong Chen 001 (CoRR, 2018)

A Cross-Layer Solution in Scientific Workflow System for Tackling Data Movement Challenge. - Dong Dai 001; Robert B. Ross; Dounia Khaldi; Yonghong Yan 001; Matthieu Dorier; Neda Tavakoli; Yong Chen 001 (CoRR, 2018)

A Software-Defined QoS Provisioning Framework for HPC Applications. - Neda Tavakoli; Yong Chen 001 (CoRR, 2018)

On Computing Average Common Substring Over Run Length Encoded Sequences. - Sahar Hooshmand; Neda Tavakoli; Paniz Abedin; Sharma V. Thankachan (Fundam. Informaticae, 2018)

The Performance of LSTM and BiLSTM in Forecasting Time Series. - Sima Siami-Namini; Neda Tavakoli; Akbar Siami Namin (IEEE BigData, 2019)

Modeling Genome Data Using Bidirectional LSTM. - Neda Tavakoli (COMPSAC (2), 2019)

A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM. - Sima Siami-Namini; Neda Tavakoli; Akbar Siami Namin (CoRR, 2019)

Client-side straggler-aware I/O scheduler for object-based parallel file systems. - Neda Tavakoli; Dong Dai 001; Yong Chen 001 (Parallel Comput., 2019)

A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic. - Luis Felipe Gutiérrez; Sima Siami-Namini; Neda Tavakoli; Akbar Siami Namin (IEEE BigData, 2020)

Seq2Image: Sequence Analysis using Visualization and Deep Convolutional Neural Network. - Neda Tavakoli (COMPSAC, 2020)

Optimizing CNN using Fast Fourier Transformation for Object Recognition. - Varsha Nair; Moitrayee Chatterjee; Neda Tavakoli; Akbar Siami Namin; Craig Snoeyink (ICMLA, 2020)

Locality Sensitive Hashing-based Sequence Alignment Using Deep Bidirectional LSTM Models. - Neda Tavakoli (CoRR, 2020)

Clustering Time Series Data through Autoencoder-based Deep Learning Models. - Neda Tavakoli; Sima Siami-Namini; Mahdi Adl Khanghah; Fahimeh Mirza Soltani; Akbar Siami Namin (CoRR, 2020)

Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition. - Varsha Nair; Moitrayee Chatterjee; Neda Tavakoli; Akbar Siami Namin; Craig Snoeyink (CoRR, 2020)

A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic. - Luis Felipe Gutiérrez; Sima Siami-Namini; Neda Tavakoli; Akbar Siami Namin (CoRR, 2020)

A variant selection framework for genome graphs. - Chirag Jain; Neda Tavakoli; Srinivas Aluru (Bioinform., 2021)

Haplotype-aware variant selection for genome graphs. - Neda Tavakoli; Daniel Gibney; Srinivas Aluru (BCB, 2022)

DRL-STNet: Unsupervised Domain Adaptation for Cross-Modality Medical Image Segmentation via Disentangled Representation Learning. - Hui Lin; Florian Schiffers; Santiago López-Tapia; Neda Tavakoli; Daniel Kim 002; Aggelos K. Katsaggelos (FLARE@MICCAI, 2024)

GenSegNet: Leveraging Synthetic Sequences and Pseudo Labels for Multi-sequence Myocardial Pathology Segmentation. - Hui Lin; Neda Tavakoli; Florian Schiffers; Santiago López-Tapia; Daniel Kim 002; Aggelos K. Katsaggelos (CARE@MICCAI, 2024)

GraphSlimmer: Preserving Read Mappability with the Minimum Number of Variants. - Neda Tavakoli; Daniel Gibney; Srinivas Aluru (J. Comput. Biol., 2024)

Algorithmic Techniques for Variant Selection in Genome Graphs. - Neda Tavakoli (2024)

ScarNet: A Novel Foundation Model for Automated Myocardial Scar Quantification from LGE in Cardiac MRI. - Neda Tavakoli; Amir Ali Rahsepar; Brandon C. Benefield; Daming Shen; Santiago López-Tapia; Florian Schiffers; Jeffrey J. Goldberger; Christine M. Albert; Edwin Wu; Aggelos K. Katsaggelos; Daniel C. Lee 002; Daniel Kim 002 (CoRR, 2025)