J. T. Turner

Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods

J. T. Turner, Tim Oates, Tinoosh Mohsenin, 2014, FLAIRS Conference.

Using Deep Learning to Automate Feature Modeling in Learning by Observation

J. T. Turner, David W. Aha, Michael W. Floyd, 2017, The Florida AI Research Society.

SPARCNN: Spatially related convolutional neural networks

J. T. Turner, Kalyan Moy Gupta, David W. Aha, 2016, 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR).

Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection pdf

J. T. Turner, Tim Oates, Tinoosh Mohsenin, 2017, AAAI Spring Symposia.

Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks

J. T. Turner, Kalyan Moy Gupta, David W. Aha, 2018, ICCBR.

Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study

J. T. Turner, David W. Aha, Michael W. Floyd, 2017, AAAI Spring Symposia.

NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery

J. T. Turner, Kalyan Moy Gupta, Tim Oates, 2019, ICCBR.

Convolutional Architecture Exploration for Action Recognition and Image Classification pdf

J. T. Turner, Kalyan Moy Gupta, David W. Aha, 2015, ArXiv.

Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features pdf

J. T. Turner, Kalyan Moy Gupta, David W. Aha, 2016, ArXiv.