EM in high-dimensional spaces. - Bruce A. Draper; Daniel L. Elliott; Jeremy Hayes; Kyungim Baek (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Recurrent Neural Networks for Moisture Content Prediction in Seed Corn Dryer Buildings. - Daniel L. Elliott; Russell E. Valentine (ICTAI, 2011)

Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning. - Daniel L. Elliott; Charles Anderson 001 (ADPRL, 2014)

Faster reinforcement learning after pretraining deep networks to predict state dynamics. - Charles W. Anderson; Minwoo Lee 001; Daniel L. Elliott (IJCNN, 2015)

Gradient boosting in crowd ensembles for Q-learning using weight sharing. - Daniel L. Elliott; KC Santosh; Charles Anderson 001 (Int. J. Mach. Learn. Cybern., 2020)

Cough Sound Analysis for the Evidence of Covid-19. - Nicholas Rasmussen; Daniel L. Elliott; Muntasir Mamun; KC Santosh (CVMI, 2022)

The Wisdom of the Crowd: Reliable Deep Reinforcement Learning Through Ensembles of Q-Functions. - Daniel L. Elliott; Charles W. Anderson (IEEE Trans. Neural Networks Learn. Syst., 2023)