Neda Tavakoli

According to our database, Neda Tavakoli authored at least 20 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Algorithmic Techniques for Variant Selection in Genome Graphs.

Neda Tavakoli

PhD thesis, 2024

2022

Haplotype-aware variant selection for genome graphs.

Neda Tavakoli, Daniel Gibney, Srinivas Aluru

Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022

2021

A variant selection framework for genome graphs.

Chirag Jain, Neda Tavakoli, Srinivas Aluru

Bioinform., 2021

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

Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition.

Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink

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

Locality Sensitive Hashing-based Sequence Alignment Using Deep Bidirectional LSTM Models.

Neda Tavakoli

CoRR, 2020

Optimizing CNN using Fast Fourier Transformation for Object Recognition.

Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Seq2Image: Sequence Analysis using Visualization and Deep Convolutional Neural Network.

Neda Tavakoli

Proceedings of the 44th IEEE Annual Computers, Software, and Applications Conference, 2020

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

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Client-side straggler-aware I/O scheduler for object-based parallel file systems.

Neda Tavakoli, Dong Dai, Yong Chen

Parallel Comput., 2019

A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM.

Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin

CoRR, 2019

Modeling Genome Data Using Bidirectional LSTM.

Neda Tavakoli

Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

The Performance of LSTM and BiLSTM in Forecasting Time Series.

Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

On Computing Average Common Substring Over Run Length Encoded Sequences.

Sahar Hooshmand, Neda Tavakoli, Paniz Abedin, Sharma V. Thankachan

Fundam. Informaticae, 2018

A Software-Defined QoS Provisioning Framework for HPC Applications.

Neda Tavakoli, Yong Chen

CoRR, 2018

A Cross-Layer Solution in Scientific Workflow System for Tackling Data Movement Challenge.

Dong Dai, Robert B. Ross, Dounia Khaldi, Yonghong Yan, Matthieu Dorier, Neda Tavakoli, Yong Chen

CoRR, 2018

A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems.

Neda Tavakoli, Dong Dai, John Jenkins, Philip H. Carns, Robert B. Ross, Yong Chen

CoRR, 2018

A Comparison of ARIMA and LSTM in Forecasting Time Series.

Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin

Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

2016

Log-Assisted Straggler-Aware I/O Scheduler for High-End Computing.

Neda Tavakoli, Dong Dai, Yong Chen

Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016