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2020 – today
- 2024
[c11]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: 583-585- [c10]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: 371-387 - [c9]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: 388-403
2010 – 2019
- 2019
- [c8]J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, Tim Oates:
NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery. ICCBR 2019: 373-387 - 2018
- [c7]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: 399-414 - 2017
- [c6]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 - [c5]Michael W. Floyd, J. T. Turner, David W. Aha:
Using Deep Learning to Automate Feature Modeling in Learning by Observation. FLAIRS 2017: 50-55 - [i4]J. T. Turner, Kalyan Moy Gupta, David W. Aha:
SPARCNN: SPAtially Related Convolutional Neural Networks. CoRR abs/1708.07522 (2017) - [i3]J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates:
Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. CoRR abs/1708.08430 (2017) - 2016
- [c4]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: 1-6 - [c3]J. T. Turner, Kalyan Moy Gupta, David W. Aha:
SPARCNN: Spatially related convolutional neural networks. AIPR 2016: 1-6 - [i2]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 abs/1603.00502 (2016) - 2015
- [i1]J. T. Turner, David W. Aha, Leslie Smith, Kalyan Moy Gupta:
Convolutional Architecture Exploration for Action Recognition and Image Classification. CoRR abs/1512.07502 (2015) - 2014
- [c2]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 - [c1]Adam Page, J. T. Turner, Tinoosh Mohsenin, Tim Oates:
Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods. FLAIRS 2014
Coauthor Index
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