J. T. Turner

According to our database1, J. T. Turner authored at least 13 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Counterfactual-Based Synthetic Case Generation.
Proceedings of the Case-Based Reasoning Research and Development, 2024

Aligning to Human Decision-Makers in Military Medical Triage.
Proceedings of the Case-Based Reasoning Research and Development, 2024

Algorithmic Decision-Making in Difficult Scenarios.
Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2019
NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery.
Proceedings of the Case-Based Reasoning Research and Development, 2019

2018
Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks.
Proceedings of the Case-Based Reasoning Research and Development, 2018

2017
Using Deep Learning to Automate Feature Modeling in Learning by Observation.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study.
Proceedings of the 2017 AAAI Spring Symposia, 2017

2016
Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features.
CoRR, 2016

SPARCNN: Spatially related convolutional neural networks.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

Keypoint density-based region proposal for fine-grained object detection using regions with convolutional neural network features.
Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2015
Convolutional Architecture Exploration for Action Recognition and Image Classification.
CoRR, 2015

2014
Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods.
Proceedings of the Twenty-Seventh International Florida Artificial Intelligence Research Society Conference, 2014

Deep Belief Networks Used on High Resolution Multichannel Electroencephalography Data for Seizure Detection.
Proceedings of the 2014 AAAI Spring Symposia, 2014


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