Neda Tavakoli

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Fourier Transformation

Object Recognition

Convolutional Neural Networks

Top Venues

Publications

Neda Tavakoli, Daniel Gibney, Srinivas Aluru
GraphSlimmer: Preserving Read Mappability with the Minimum Number of Variants. J. Comput. Biol. 31 (7) (2024)
Neda Tavakoli, Daniel Gibney, Srinivas Aluru
Haplotype-aware variant selection for genome graphs. BCB (2022)
Chirag Jain, Neda Tavakoli, Srinivas Aluru
A variant selection framework for genome graphs. Bioinform. 37 (Supplement) (2021)
Neda Tavakoli
Seq2Image: Sequence Analysis using Visualization and Deep Convolutional Neural Network. COMPSAC (2020)
Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink
Optimizing CNN using Fast Fourier Transformation for Object Recognition. ICMLA (2020)
Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic. CoRR (2020)
Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition. CoRR (2020)
Neda Tavakoli
Locality Sensitive Hashing-based Sequence Alignment Using Deep Bidirectional LSTM Models. CoRR (2020)
Luis Felipe Gutiérrez, Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic. IEEE BigData (2020)
Neda Tavakoli, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin
Clustering Time Series Data through Autoencoder-based Deep Learning Models. CoRR (2020)
Neda Tavakoli, Dong Dai, Yong Chen
Client-side straggler-aware I/O scheduler for object-based parallel file systems. Parallel Comput. 82 (2019)
Neda Tavakoli
Modeling Genome Data Using Bidirectional LSTM. COMPSAC (2) (2019)
Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
The Performance of LSTM and BiLSTM in Forecasting Time Series. IEEE BigData (2019)
Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM. CoRR (2019)
Sahar Hooshmand, Neda Tavakoli, Paniz Abedin, Sharma V. Thankachan
On Computing Average Common Substring Over Run Length Encoded Sequences. Fundam. Informaticae 163 (3) (2018)
Neda Tavakoli, Dong Dai, John Jenkins, Philip H. Carns, Robert B. Ross, Yong Chen
A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems. CoRR (2018)
Sahar Hooshmand, Neda Tavakoli, Paniz Abedin, Sharma V. Thankachan
On Computing Average Common Substring Over Run Length Encoded Sequences. CoRR (2018)
Dong Dai, Robert B. Ross, Dounia Khaldi, Yonghong Yan, Matthieu Dorier, Neda Tavakoli, Yong Chen
A Cross-Layer Solution in Scientific Workflow System for Tackling Data Movement Challenge. CoRR (2018)
Neda Tavakoli, Dong Dai, Yong Chen
Client-side Straggler-Aware I/O Scheduler for Object-based Parallel File Systems. CoRR (2018)
Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin
A Comparison of ARIMA and LSTM in Forecasting Time Series. ICMLA (2018)
Neda Tavakoli, Yong Chen
A Software-Defined QoS Provisioning Framework for HPC Applications. CoRR (2018)
Neda Tavakoli, Dong Dai, Yong Chen
Log-Assisted Straggler-Aware I/O Scheduler for High-End Computing. ICPP Workshops (2016)