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Books and Theses
- 2024
[b1]Neda Tavakoli:
Algorithmic Techniques for Variant Selection in Genome Graphs. Georgia Institute of Technology, Atlanta, GA, USA, 2024
Journal Articles
- 2024
- [j4]Neda Tavakoli
, Daniel Gibney, Srinivas Aluru:
GraphSlimmer: Preserving Read Mappability with the Minimum Number of Variants. J. Comput. Biol. 31(7): 616-637 (2024) - 2021
- [j3]Chirag Jain, Neda Tavakoli, Srinivas Aluru:
A variant selection framework for genome graphs. Bioinform. 37(Supplement): 460-467 (2021) - 2019
- [j2]Neda Tavakoli, Dong Dai, Yong Chen:
Client-side straggler-aware I/O scheduler for object-based parallel file systems. Parallel Comput. 82: 3-18 (2019) - 2018
- [j1]Sahar Hooshmand, Neda Tavakoli, Paniz Abedin, Sharma V. Thankachan:
On Computing Average Common Substring Over Run Length Encoded Sequences. Fundam. Informaticae 163(3): 267-273 (2018)
Conference and Workshop Papers
- 2022
- [c8]Neda Tavakoli, Daniel Gibney, Srinivas Aluru:
Haplotype-aware variant selection for genome graphs. BCB 2022: 51:1-51:9 - 2020
- [c7]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: 2079-2086 - [c6]Neda Tavakoli:
Seq2Image: Sequence Analysis using Visualization and Deep Convolutional Neural Network. COMPSAC 2020: 1332-1337 - [c5]Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink:
Optimizing CNN using Fast Fourier Transformation for Object Recognition. ICMLA 2020: 234-239 - 2019
- [c4]Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin:
The Performance of LSTM and BiLSTM in Forecasting Time Series. IEEE BigData 2019: 3285-3292 - [c3]Neda Tavakoli:
Modeling Genome Data Using Bidirectional LSTM. COMPSAC (2) 2019: 183-188 - 2018
- [c2]Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin:
A Comparison of ARIMA and LSTM in Forecasting Time Series. ICMLA 2018: 1394-1401 - 2016
- [c1]Neda Tavakoli, Dong Dai, Yong Chen:
Log-Assisted Straggler-Aware I/O Scheduler for High-End Computing. ICPP Workshops 2016: 181-189
Informal and Other Publications
- 2024
- [i11]Hui Lin, Florian Schiffers, Santiago López-Tapia, Neda Tavakoli, Daniel Kim, Aggelos K. Katsaggelos:
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning. CoRR abs/2409.18340 (2024) - 2020
- [i10]Neda Tavakoli:
Locality Sensitive Hashing-based Sequence Alignment Using Deep Bidirectional LSTM Models. CoRR abs/2004.02094 (2020) - [i9]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 abs/2004.07296 (2020) - [i8]Varsha Nair, Moitrayee Chatterjee, Neda Tavakoli, Akbar Siami Namin, Craig Snoeyink:
Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition. CoRR abs/2010.04257 (2020) - [i7]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 abs/2012.02098 (2020) - 2019
- [i6]Sima Siami-Namini, Neda Tavakoli, Akbar Siami Namin:
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM. CoRR abs/1911.09512 (2019) - 2018
- [i5]Neda Tavakoli, Dong Dai, Yong Chen:
Client-side Straggler-Aware I/O Scheduler for Object-based Parallel File Systems. CoRR abs/1805.06156 (2018) - [i4]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 abs/1805.06161 (2018) - [i3]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 abs/1805.06167 (2018) - [i2]Neda Tavakoli, Yong Chen:
A Software-Defined QoS Provisioning Framework for HPC Applications. CoRR abs/1805.06169 (2018) - [i1]Sahar Hooshmand, Neda Tavakoli, Paniz Abedin, Sharma V. Thankachan:
On Computing Average Common Substring Over Run Length Encoded Sequences. CoRR abs/1805.06177 (2018)
Coauthor Index
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