A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data. - Adedotun Akintayo; Soumik Sarkar (ACC, 2015)

An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection. - Adedotun Akintayo; Nigel Lee; Vikas Chawla; Mark Mullaney; Christopher Marett; Asheesh K. Singh; Arti Singh; Greg Tylka; Baskar Ganapathysubramanian; Soumik Sarkar (CoRR, 2016)

Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video. - Adedotun Akintayo; Kin Gwn Lore; Soumalya Sarkar; Soumik Sarkar (CoRR, 2016)

A Bayesian Network approach to County-Level Corn Yield Prediction using historical data and expert knowledge. - Vikas Chawla; Hsiang Sing Naik; Adedotun Akintayo; Dermot Hayes; Patrick S. Schnable; Baskar Ganapathysubramanian; Soumik Sarkar (CoRR, 2016)

LLNet: A deep autoencoder approach to natural low-light image enhancement. - Kin Gwn Lore; Adedotun Akintayo; Soumik Sarkar (Pattern Recognit., 2017)

Hierarchical feature extraction from spatiotemporal data for cyber-physical system analytics. - Adedotun Akintayo (2017)

Building Energy Disaggregation using Spatiotemporal Pattern Network. - Chao Liu 028; Zhanhong Jiang; Adedotun Akintayo; Gregor P. Henze; Soumik Sarkar (ACC, 2018)

Hierarchical symbolic dynamic filtering of streaming non-stationary time series data. - Adedotun Akintayo; Soumik Sarkar (Signal Process., 2018)

3D Convolutional Selective Autoencoder For Instability Detection in Combustion Systems. - Tryambak Gangopadhyay; Vikram Ramanan; Adedotun Akintayo; Paige K. Boor; Soumalya Sarkar; Satyanarayanan R. Chakravarthy; Soumik Sarkar (CoRR, 2021)