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J. T. Turner
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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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last updated on 2024-08-05 20:22 CEST by the dblp team
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