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Christine M. Schubert-Kabban

◀ ▶ joint publications with Brett J. Borghetti

> Home > Persons > Christine M. Schubert-Kabban

Publications

2024
[j18]
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  - journals/nca/ChoateWNTBS24
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  - https://dblp.org/rec/journals/nca/ChoateWNTBS24
Jeffrey Choate, Derek Worth, Scott Nykl, Clark N. Taylor, Brett J. Borghetti, Christine M. Schubert-Kabban:
An analysis of precision: occlusion and perspective geometry's role in 6D pose estimation. Neural Comput. Appl. 36(3): 1261-1281 (2024)
2022
[j16]
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  - journals/access/LangehaugGSB22
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Tor J. Langehaug, Scott R. Graham, Christine M. Schubert-Kabban, Brett J. Borghetti:
MADFAM: MicroArchitectural Data Framework and Methodology. IEEE Access 10: 23511-23531 (2022)
2021
[j13]
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  - journals/sensors/KamrudBS21
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Alexander Kamrud, Brett J. Borghetti, Christine M. Schubert-Kabban:
The Effects of Individual Differences, Non-Stationarity, and the Importance of Data Partitioning Decisions for Training and Testing of EEG Cross-Participant Models. Sensors 21(9): 3225 (2021)
[j12]
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  - journals/sensors/KamrudBSM21
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Alexander Kamrud, Brett J. Borghetti, Christine M. Schubert-Kabban, Michael E. Miller:
Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks. Sensors 21(16): 5617 (2021)
[j11]
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  - journals/staeors/WestingGBSMM21
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Nicholas Westing, Kevin C. Gross, Brett J. Borghetti, Christine M. Schubert-Kabban, Jacob A. Martin, Joseph Meola:
Multimodal Representation Learning and Set Attention for LWIR In-Scene Atmospheric Compensation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 127-140 (2021)
2018
[j6]
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  - journals/sensors/HefronBSCE18
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  - https://dblp.org/rec/journals/sensors/HefronBSCE18
Ryan G. Hefron, Brett J. Borghetti, Christine M. Schubert-Kabban, James C. Christensen, Justin Estepp:
Cross-Participant EEG-Based Assessment of Cognitive Workload Using Multi-Path Convolutional Recurrent Neural Networks. Sensors 18(5): 1339 (2018)
2017
[j5]
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  - journals/prl/HefronBCS17
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Ryan G. Hefron, Brett J. Borghetti, James C. Christensen, Christine M. Schubert-Kabban:
Deep long short-term memory structures model temporal dependencies improving cognitive workload estimation. Pattern Recognit. Lett. 94: 96-104 (2017)

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