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Neda Tavakoli
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Cited by
Year
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
5882018
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
3062019
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
592019
An autoencoder-based deep learning approach for clustering time series data
N Tavakoli, S Siami-Namini, M Adl Khanghah, F Mirza Soltani, ...
SN Applied Sciences 2 (5), 1-25, 2020
202020
Modeling genome data using bidirectional LSTM
N Tavakoli
2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC …, 2019
202019
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
152019
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
122016
Fast Fourier transformation for optimizing convolutional neural networks in object recognition
V Nair, M Chatterjee, N Tavakoli, AS Namin, C Snoeyink
arXiv preprint arXiv:2010.04257, 2020
112020
Seq2image: Sequence analysis using visualization and deep convolutional neural network
N Tavakoli
2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020
102020
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
102020
A comparative analysis of forecasting financial time series using ARIMA
S Siami-Namini, N Tavakoli, AS Namin
LSTM, and BiLSTM, 2019
102019
A variant selection framework for genome graphs
C Jain, N Tavakoli, S Aluru
Bioinformatics 37 (Supplement_1), i460–i467, 2021
52021
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
52018
Using experiential learning to teach and learn digital forensics: Educator and student perspectives
R Flores, AS Namin, N Tavakoli, S Siami-Namini, KS Jones
Computers and Education Open 2, 100045, 2021
42021
A software-defined qos provisioning framework for hpc applications
N Tavakoli, Y Chen
arXiv preprint arXiv:1805.06169, 2018
22018
A Concern Analysis of Federal Reserve Statements: The Great Recession vs. The COVID-19 Pandemic
LF Gutierrez, S Siami-Namini, N Tavakoli, AS Namin
2020 IEEE International Conference on Big Data (Big Data), 2079-2086, 2020
12020
Haplotype-aware variant selection for genome graphs
N Tavakoli, D Gibney, S Aluru
Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022
2022
Similarity analysis of federal reserve statements using document embeddings: the Great Recession vs. COVID-19
LF Gutiérrez, N Tavakoli, S Siami-Namini, A Siami Namin
SN Business & Economics 2 (7), 1-28, 2022
2022
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. COVID-19
AS Namin, LF Gutiérrez, N Tavakoli, S Siami-Namini
2020
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Articles 1–20