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Neda Tavakoli
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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
10912018
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
8342019
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
1032019
How AI responds to common lung cancer questions: ChatGPT versus Google Bard
AA Rahsepar, N Tavakoli, GHJ Kim, C Hassani, F Abtin, A Bedayat
Radiology 307 (5), e230922, 2023
802023
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, 1-25, 2020
452020
Modeling genome data using bidirectional LSTM
N Tavakoli
2019 IEEE 43rd annual computer software and applications conference (COMPSAC …, 2019
292019
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
192020
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
192019
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
162016
Seq2image: Sequence analysis using visualization and deep convolutional neural network
N Tavakoli
2020 IEEE 44th Annual Computers, Software, and Applications Conference …, 2020
142020
A comparative analysis of forecasting financial time series using ARIMA
S Siami-Namini, N Tavakoli, AS Namin
LSTM, and BiLSTM, 2019
142019
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
122020
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
102021
A variant selection framework for genome graphs
C Jain, N Tavakoli, S Aluru
Bioinformatics 37 (Supplement_1), i460–i467, 2021
102021
A Comparative Analysis of Forecasting Financial Time Series Using ARIMA, LSTM, and BiLSTM ((2019))
S Siami-Namini, N Tavakoli, AS Namin
arXiv preprint arXiv:1911.09512, 2019
52019
On computing average common substring over run length encoded sequences
S Hooshmand, N Tavakoli, P Abedin, SV Thankachan
arXiv preprint arXiv:1805.06177, 2018
52018
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
42020
Haplotype-aware variant selection for genome graphs
N Tavakoli, D Gibney, S Aluru
Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022
32022
Namin. 2019. The performance of LSTM and BiLSTM in forecasting time series
S Siami-Namini, N Tavakoli, S Akbar
IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA …, 0
3
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
22020
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