Benjamin Rothwell

Orcid: 0000-0003-2503-7232

According to our database1, Benjamin Rothwell authored at least 9 papers between 2019 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Feature importance in machine learning models: A fuzzy information fusion approach.
Neurocomputing, 2022

Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding.
CoRR, 2022

EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

2021
Machine learning to determine the main factors affecting creep rates in laser powder bed fusion.
J. Intell. Manuf., 2021

Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach.
CoRR, 2021

2020
Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management.
Sensors, 2020

Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion.
CoRR, 2020

Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019


  Loading...