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Adedotun Akintayo
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2020 – today
- 2021
- [i5]Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K. Boor, Soumalya Sarkar, Satyanarayanan R. Chakravarthy, Soumik Sarkar:
3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems. CoRR abs/2101.01877 (2021)
2010 – 2019
- 2018
- [j2]Adedotun Akintayo, Soumik Sarkar
:
Hierarchical symbolic dynamic filtering of streaming non-stationary time series data. Signal Process. 151: 76-88 (2018) - [c2]Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar:
Building Energy Disaggregation using Spatiotemporal Pattern Network. ACC 2018: 1052-1057 - 2017
- [j1]Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar:
LLNet: A deep autoencoder approach to natural low-light image enhancement. Pattern Recognit. 61: 650-662 (2017) - 2016
- [i4]Adedotun Akintayo, Nigel Lee, Vikas Chawla, Mark Mullaney, Christopher Marett, Asheesh K. Singh, Arti Singh, Greg Tylka, Baskar Ganapathysubramanian, Soumik Sarkar:
An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection. CoRR abs/1603.07834 (2016) - [i3]Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar, Soumik Sarkar:
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video. CoRR abs/1603.07839 (2016) - [i2]Vikas Chawla, Hsiang Sing Naik, Adedotun Akintayo, Dermot Hayes, Patrick S. Schnable, Baskar Ganapathysubramanian, Soumik Sarkar:
A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge. CoRR abs/1608.05127 (2016) - 2015
- [c1]Adedotun Akintayo, Soumik Sarkar:
A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data. ACC 2015: 5824-5829 - [i1]Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar:
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement. CoRR abs/1511.03995 (2015)
Coauthor Index
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