J. T. Turner

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 12

Top Topics

Convolutional Neural Networks

Sift Descriptors

Feature Extraction

Top Venues

AAAI Spring Symposia

Publications

Anik Sen, Mallika Mainali, Christopher B. Rauch, Ursula Addison, Michael W. Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David H. Ménager, Matthew Molineaux, J. T. Turner, Rosina O. Weber
Counterfactual-Based Synthetic Case Generation. ICCBR (2024)
Matthew Molineaux, Rosina O. Weber, Michael W. Floyd, David H. Ménager, Othalia Larue, Ursula Addison, Ray Kulhanek, Noah Reifsnyder, Christopher B. Rauch, Mallika Mainali, Anik Sen, Prateek Goel, Justin Karneeb, J. T. Turner, John Meyer
Aligning to Human Decision-Makers in Military Medical Triage. ICCBR (2024)
Christopher B. Rauch, Ursula Addison, Michael W. Floyd, Prateek Goel, Justin Karneeb, Ray Kulhanek, Othalia Larue, David H. Ménager, Mallika Mainali, Matthew Molineaux, Adam Pease, Anik Sen, J. T. Turner, Rosina Weber
Algorithmic Decision-Making in Difficult Scenarios. AAAI Spring Symposia (2024)
J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, Tim Oates
NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery. ICCBR (2019)
J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, David W. Aha
Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks. ICCBR (2018)
Michael W. Floyd, J. T. Turner, David W. Aha
Using Deep Learning to Automate Feature Modeling in Learning by Observation. FLAIRS Conference (2017)
J. T. Turner, Kalyan Moy Gupta, David W. Aha
SPARCNN: SPAtially Related Convolutional Neural Networks. CoRR (2017)
Michael W. Floyd, J. T. Turner, David W. Aha
Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study. AAAI Spring Symposia (2017)
J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. CoRR (2017)
J. T. Turner, Kalyan Moy Gupta, David W. Aha
SPARCNN: Spatially related convolutional neural networks. AIPR (2016)
J. T. Turner, Kalyan Moy Gupta, David W. Aha
Keypoint density-based region proposal for fine-grained object detection using regions with convolutional neural network features. AIPR (2016)
J. T. Turner, Kalyan Moy Gupta, Brendan Morris, David W. Aha
Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features. CoRR (2016)
J. T. Turner, David W. Aha, Leslie Smith, Kalyan Moy Gupta
Convolutional Architecture Exploration for Action Recognition and Image Classification. CoRR (2015)
Adam Page, J. T. Turner, Tinoosh Mohsenin, Tim Oates
Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods. FLAIRS Conference (2014)
J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates
Deep Belief Networks Used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. AAAI Spring Symposia (2014)