James Higgins

14 papers A 3B 2C 2Journal 2Unranked 5
YearRankTypeTitle / Venue / Authors
2024 C conf
Radio Frequency Interference (RFI) at L-Band: Update on the SMAP RFI Team Efforts to Reduce Its Global Impact.
IGARSS
Paolo de Matthaeis, Priscilla N. Mohammed, David M. Le Vine, Alexandra Bringer, James Higgins
2023 C conf
A Case Study in RFI at L-band Detected by SMAP.
IGARSS
David M. Le Vine, Paolo de Matthaeis, Priscilla N. Mohammed, James Higgins
2021 — conf
An Exploration of Machine Learning Methods for Predicting Post-stroke Aphasia Recovery.
PETRA
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
2019 B conf
A 3D Cross-Hemisphere Neighborhood Difference Convnet for Chronic Stroke Lesion Segmentation.
ICIP
Yanran Wang, Hengkang Wang, Sophia Chen, Aggelos K. Katsaggelos, Adam Martersteck, James Higgins, Virginia B. Hill, Todd B. Parrish
2018 — conf
Classifying Aircraft Approach Type in the National General Aviation Flight Information Database.
ICCS (1)
Kelton Karboviak, Sophine Clachar, Travis Desell, Mark Dusenbury, Wyatt Hedrick, James Higgins, John Walberg, Brandon Wild
2018 J jnl
Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration.
Appl. Soft Comput.
AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell
2018 A conf
Using ant colony optimization to optimize long short-term memory recurrent neural networks.
GECCO
AbdElRahman ElSaid, Fatima El Jamiy, James Higgins, Brandon Wild, Travis Desell
2017 — conf
Optimizing LSTM RNNs using ACO to predict turbine engine vibration.
GECCO (Companion)
AbdElRahman ElSaid, Brandon Wild, Fatima El Jamiy, James Higgins, Travis Desell
2017 J jnl
Optimizing Long Short-Term Memory Recurrent Neural Networks Using Ant Colony Optimization to Predict Turbine Engine Vibration.
CoRR
AbdElRahman ElSaid, Travis Desell, Fatima El Jamiy, James Higgins, Brandon Wild
2016 — conf
A micro-UAS to Start Prescribed Fires.
ISER
Evan Beachly, James Higgins, Christian Laney, Sebastian G. Elbaum, Carrick Detweiler, Craig Allen, Dirac Twidwell
2016 A conf
The waterbug sub-surface sampler: Design, control and analysis.
IROS
James Higgins, Carrick Detweiler
2016 — conf
Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines.
eScience
AbdElRahman ElSaid, Brandon Wild, James Higgins, Travis Desell
2015 B conf
Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization.
EvoCOP
Travis Desell, Sophine Clachar, James Higgins, Brandon Wild
2014 A conf
Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data.
PPSN
Travis Desell, Sophine Clachar, James Higgins, Brandon Wild