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2020 – today
- 2024
[c12]Paolo de Matthaeis, Priscilla N. Mohammed, David M. Le Vine, Alexandra Bringer, James Higgins:
Radio Frequency Interference (RFI) at L-Band: Update on the SMAP RFI Team Efforts to Reduce Its Global Impact. IGARSS 2024: 746-748- 2023
- [c11]David M. Le Vine, Paolo de Matthaeis, Priscilla N. Mohammed, James Higgins:
A Case Study in RFI at L-band Detected by SMAP. IGARSS 2023: 697-699 - 2021
- [c10]Sha Lai, Anne Billot, Maria Varkanitsa, Emily J. Braun, Brenda Rapp, Todd B. Parrish
, Ajay Kurani, James Higgins, David Caplan, Cynthia K. Thompson, Swathi Kiran, Margrit Betke, Prakash Ishwar:
An Exploration of Machine Learning Methods for Predicting Post-stroke Aphasia Recovery. PETRA 2021: 556-564
2010 – 2019
- 2019
- [c9]Yanran Wang, Hengkang Wang, Sophia Chen, Aggelos K. Katsaggelos, Adam Martersteck, James Higgins, Virginia B. Hill, Todd B. Parrish:
A 3D Cross-Hemisphere Neighborhood Difference Convnet for Chronic Stroke Lesion Segmentation. ICIP 2019: 1545-1549 - 2018
- [j1]AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell:
Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration. Appl. Soft Comput. 73: 969-991 (2018) - [c8]AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell:
Using ant colony optimization to optimize long short-term memory recurrent neural networks. GECCO 2018: 13-20 - [c7]Kelton Karboviak, Sophine Clachar, Travis Desell, Mark Dusenbury, Wyatt Hedrick, James Higgins, John Walberg, Brandon Wild:
Classifying Aircraft Approach Type in the National General Aviation Flight Information Database. ICCS (1) 2018: 456-469 - 2017
- [c6]AbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell:
Optimizing LSTM RNNs using ACO to predict turbine engine vibration. GECCO (Companion) 2017: 21-22 - [i1]AbdElRahman ElSaid, Travis Desell, Fatima El Jamiy, James Higgins, Brandon Wild:
Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration. CoRR abs/1710.03753 (2017) - 2016
- [c5]AbdElRahman ElSaid, Brandon Wild, James Higgins, Travis Desell:
Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines. eScience 2016: 260-269 - [c4]James Higgins, Carrick Detweiler:
The waterbug sub-surface sampler: Design, control and analysis. IROS 2016: 330-337 - [c3]Evan Beachly, James Higgins, Christian Laney, Sebastian G. Elbaum, Carrick Detweiler, Craig Allen, Dirac Twidwell:
A micro-UAS to Start Prescribed Fires. ISER 2016: 12-24 - 2015
- [c2]Travis Desell, Sophine Clachar, James Higgins, Brandon Wild:
Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization. EvoCOP 2015: 86-98 - 2014
- [c1]Travis Desell, Sophine Clachar, James Higgins, Brandon Wild:
Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data. PPSN 2014: 771-781
Coauthor Index
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