Neda Tavakoli
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A comparison of ARIMA and LSTM in forecasting time series
S Siami-Namini, N Tavakoli, AS Namin
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
1872018
The performance of LSTM and BiLSTM in forecasting time series
S Siami-Namini, N Tavakoli, AS Namin
2019 IEEE International Conference on Big Data (Big Data), 3285-3292, 2019
502019
A comparative analysis of forecasting financial time series using arima, lstm, and bilstm
S Siami-Namini, N Tavakoli, AS Namin
arXiv preprint arXiv:1911.09512, 2019
232019
Client-side straggler-aware I/O scheduler for object-based parallel file systems
N Tavakoli, D Dai, Y Chen
Parallel Computing 82, 3-18, 2019
132019
Modeling genome data using bidirectional LSTM
N Tavakoli
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC …, 2019
122019
Log-assisted straggler-aware I/O scheduler for high-end computing
N Tavakoli, D Dai, Y Chen
2016 45th International Conference on Parallel Processing Workshops (ICPPW …, 2016
112016
Seq2image: Sequence analysis using visualization and deep convolutional neural network
N Tavakoli
2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020
72020
An autoencoder-based deep learning approach for clustering time series data
N Tavakoli, S Siami-Namini, MA Khanghah, FM Soltani, AS Namin
SN Applied Sciences 2 (5), 1-25, 2020
72020
Clustering time series data through autoencoder-based deep learning models
N Tavakoli, S Siami-Namini, MA Khanghah, FM Soltani, AS Namin
arXiv preprint arXiv:2004.07296, 2020
62020
On computing average common substring over run length encoded sequences
S Hooshmand, N Tavakoli, P Abedin, SV Thankachan
Fundamenta Informaticae 163 (3), 267-273, 2018
42018
A software-defined qos provisioning framework for hpc applications
N Tavakoli, Y Chen
arXiv preprint arXiv:1805.06169, 2018
22018
A variant selection framework for genome graphs
C Jain, N Tavakoli, S Aluru
bioRxiv, 2021
2021
Optimizing CNN using Fast Fourier Transformation for Object Recognition
V Nair, M Chatterjee, N Tavakoli, AS Namin, C Snoeyink
2020 19th IEEE International Conference on Machine Learning and Applications …, 2020
2020
A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic
LF Gutiérrez, S Siami-Namini, N Tavakoli, AS Namin
2020 IEEE International Conference on Big Data (Big Data), 2079-2086, 2020
2020
A Concern Analysis of Federal Reserve Statements: The Great Recession vs. COVID-19
AS Namin, LF Gutiérrez, N Tavakoli, S Siami-Namini
2020
Locality Sensitive Hashing-based Sequence Alignment Using Deep Bidirectional LSTM Models
N Tavakoli
arXiv preprint arXiv:2004.02094, 2020
2020
A Cross-Layer Solution in Scientific Workflow System for Tackling Data Movement Challenge
D Dai, R Ross, D Khaldi, Y Yan, M Dorier, N Tavakoli, Y Chen
arXiv preprint arXiv:1805.06167, 2018
2018
A Software-Defined Approach for QoS Control in High-Performance Computing Storage Systems
N Tavakoli, D Dai, J Jenkins, P Carns, R Ross, Y Chen
http://sc16.supercomputing.org/sc-archive/tech_poster/poster_files/post248s2 …, 2016
2016
Exploit Locality in Scientific Workflow System: A Cross-Layer Solution
D Dai, R Ross, D Khaldi, Y Yan, M Dorier, N Tavakoli, Y Chen
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Artiklar 1–19