Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data. - Travis Desell; Sophine Clachar; James Higgins; Brandon Wild (PPSN, 2014)

Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization. - Travis Desell; Sophine Clachar; James Higgins; Brandon Wild (EvoCOP, 2015)

Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines. - AbdElRahman ElSaid; Brandon Wild; James Higgins; Travis Desell (eScience, 2016)

The waterbug sub-surface sampler: Design, control and analysis. - James Higgins; Carrick Detweiler (IROS, 2016)

A micro-UAS to Start Prescribed Fires. - Evan Beachly; James Higgins; Christian Laney; Sebastian G. Elbaum; Carrick Detweiler; Craig Allen; Dirac Twidwell (ISER, 2016)

Optimizing LSTM RNNs using ACO to predict turbine engine vibration. - AbdElRahman ElSaid; Brandon Wild; Fatima El Jamiy; James Higgins; Travis Desell (GECCO (Companion), 2017)

Using ant colony optimization to optimize long short-term memory recurrent neural networks. - AbdElRahman ElSaid; Fatima El Jamiy; James Higgins; Brandon Wild; Travis Desell (GECCO, 2018)

Classifying Aircraft Approach Type in the National General Aviation Flight Information Database. - Kelton Karboviak; Sophine Clachar; Travis Desell; Mark Dusenbury; Wyatt Hedrick; James Higgins; John Walberg; Brandon Wild (ICCS (1), 2018)

Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration. - AbdElRahman ElSaid; Fatima El Jamiy; James Higgins; Brandon Wild; Travis Desell (Appl. Soft Comput., 2018)

A 3D Cross-Hemisphere Neighborhood Difference Convnet for Chronic Stroke Lesion Segmentation. - Yanran Wang 002; Hengkang Wang; Sophia Chen; Aggelos K. Katsaggelos; Adam Martersteck; James Higgins; Virginia B. Hill; Todd B. Parrish (ICIP, 2019)

An Exploration of Machine Learning Methods for Predicting Post-stroke Aphasia Recovery. - 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; et al. (PETRA, 2021)

A Case Study in RFI at L-band Detected by SMAP. - David M. Le Vine; Paolo de Matthaeis; Priscilla N. Mohammed; James Higgins (IGARSS, 2023)

Radio Frequency Interference (RFI) at L-Band: Update on the SMAP RFI Team Efforts to Reduce Its Global Impact. - Paolo de Matthaeis; Priscilla N. Mohammed; David M. Le Vine; Alexandra Bringer; James Higgins (IGARSS, 2024)