Adedotun Akintayo

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 7

Top Topics

Histogram Equalization

Early Detection

Image Enhancement

Top Venues

Pattern Recognit.

Signal Process.

Publications

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 (2021)
Adedotun Akintayo, Soumik Sarkar
Hierarchical symbolic dynamic filtering of streaming non-stationary time series data. Signal Process. 151 (2018)
Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar
Building Energy Disaggregation using Spatiotemporal Pattern Network. ACC (2018)
Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar
LLNet: A deep autoencoder approach to natural low-light image enhancement. Pattern Recognit. 61 (2017)
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 (2016)
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 (2016)
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 (2016)
Adedotun Akintayo, Soumik Sarkar
A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data. ACC (2015)
Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement. CoRR (2015)