J. T. Turner - RankMe

17 papers C 4Misc 2Journal 5Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Classical AI vs. LLMs for Decision-Maker Alignment in Health Insurance Choices. CoRR Mallika Mainali, Harsha Sureshbabu, Anik Sen, Christopher B. Rauch, Noah D. Reifsnyder, John Meyer, J. T. Turner, Michael W. Floyd, Matthew Molineaux, Rosina O. Weber
2025	—	`conf`	Decision-Maker Alignment: Benchmark Datasets. CAI Anik Sen, Rosina O. Weber, Christopher B. Rauch, Mallika Mainali, J. T. Turner, John Meyer, Michael W. Floyd, Matthew Molineaux
2024	—	`conf`	Algorithmic Decision-Making in Difficult Scenarios. AAAI Spring Symposia 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
2024	C	`conf`	Aligning to Human Decision-Makers in Military Medical Triage. ICCBR 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
2024	C	`conf`	Counterfactual-Based Synthetic Case Generation. ICCBR 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
2019	C	`conf`	NOD-CC: A Hybrid CBR-CNN Architecture for Novel Object Discovery. ICCBR J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, Tim Oates
2018	C	`conf`	Novel Object Discovery Using Case-Based Reasoning and Convolutional Neural Networks. ICCBR J. T. Turner, Michael W. Floyd, Kalyan Moy Gupta, David W. Aha
2017	J	`jnl`	Deep Belief Networks used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. CoRR J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates
2017	J	`jnl`	SPARCNN: SPAtially Related Convolutional Neural Networks. CoRR J. T. Turner, Kalyan Moy Gupta, David W. Aha
2017	Misc	`conf`	Using Deep Learning to Automate Feature Modeling in Learning by Observation. FLAIRS Michael W. Floyd, J. T. Turner, David W. Aha
2017	—	`conf`	Using Deep Learning to Automate Feature Modeling in Learning by Observation: A Preliminary Study. AAAI Spring Symposia Michael W. Floyd, J. T. Turner, David W. Aha
2016	J	`jnl`	Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features. CoRR J. T. Turner, Kalyan Moy Gupta, Brendan Morris, David W. Aha
2016	—	`conf`	Keypoint density-based region proposal for fine-grained object detection using regions with convolutional neural network features. AIPR J. T. Turner, Kalyan Moy Gupta, David W. Aha
2016	—	`conf`	SPARCNN: Spatially related convolutional neural networks. AIPR J. T. Turner, Kalyan Moy Gupta, David W. Aha
2015	J	`jnl`	Convolutional Architecture Exploration for Action Recognition and Image Classification. CoRR J. T. Turner, David W. Aha, Leslie Smith, Kalyan Moy Gupta
2014	Misc	`conf`	Comparing Raw Data and Feature Extraction for Seizure Detection with Deep Learning Methods. FLAIRS Adam Page, J. T. Turner, Tinoosh Mohsenin, Tim Oates
2014	—	`conf`	Deep Belief Networks Used on High Resolution Multichannel Electroencephalography Data for Seizure Detection. AAAI Spring Symposia J. T. Turner, Adam Page, Tinoosh Mohsenin, Tim Oates