Neda Tavakoli

Orcid: 0000-0002-1541-5917

According to our database1, Neda Tavakoli authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Algorithmic Techniques for Variant Selection in Genome Graphs.
PhD thesis, 2024

GraphSlimmer: Preserving Read Mappability with the Minimum Number of Variants.
J. Comput. Biol., 2024

DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning.
CoRR, 2024

2022
Haplotype-aware variant selection for genome graphs.
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.
Bioinform., 2021

2020
A Concern Analysis of FOMC Statements Comparing The Great Recession and The COVID-19 Pandemic.
CoRR, 2020

Fast Fourier Transformation for Optimizing Convolutional Neural Networks in Object Recognition.
CoRR, 2020

Clustering Time Series Data through Autoencoder-based Deep Learning Models.
CoRR, 2020

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

Optimizing CNN using Fast Fourier Transformation for Object Recognition.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Seq2Image: Sequence Analysis using Visualization and Deep Convolutional Neural Network.
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.
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.
Parallel Comput., 2019

A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM.
CoRR, 2019

Modeling Genome Data Using Bidirectional LSTM.
Proceedings of the 43rd IEEE Annual Computer Software and Applications Conference, 2019

The Performance of LSTM and BiLSTM in Forecasting Time Series.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
On Computing Average Common Substring Over Run Length Encoded Sequences.
Fundam. Informaticae, 2018

A Software-Defined QoS Provisioning Framework for HPC Applications.
CoRR, 2018

A Cross-Layer Solution in Scientific Workflow System for Tackling Data Movement Challenge.
CoRR, 2018

A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems.
CoRR, 2018

A Comparison of ARIMA and LSTM in Forecasting Time Series.
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.
Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016


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