James Higgins

According to our database1, James Higgins authored at least 12 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2023
A Case Study in RFI at L-band Detected by SMAP.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

2021
An Exploration of Machine Learning Methods for Predicting Post-stroke Aphasia Recovery.
Proceedings of the PETRA '21: The 14th PErvasive Technologies Related to Assistive Environments Conference, Virtual Event, Greece, 29 June, 2021

2019
A 3D Cross-Hemisphere Neighborhood Difference Convnet for Chronic Stroke Lesion Segmentation.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018
Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration.
Appl. Soft Comput., 2018

Classifying Aircraft Approach Type in the National General Aviation Flight Information Database.
Proceedings of the Computational Science - ICCS 2018, 2018

Using ant colony optimization to optimize long short-term memory recurrent neural networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017
Optimizing LSTM RNNs using ACO to predict turbine engine vibration.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016
A micro-UAS to Start Prescribed Fires.
Proceedings of the International Symposium on Experimental Robotics, 2016

The waterbug sub-surface sampler: Design, control and analysis.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Using LSTM recurrent neural networks to predict excess vibration events in aircraft engines.
Proceedings of the 12th IEEE International Conference on e-Science, 2016

2015
Evolving Deep Recurrent Neural Networks Using Ant Colony Optimization.
Proceedings of the Evolutionary Computation in Combinatorial Optimization, 2015

2014
Evolving Neural Network Weights for Time-Series Prediction of General Aviation Flight Data.
Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014


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