An Intelligent Toolkit for Benchmarking Data-Driven Aerospace Prognostics. - Divish Rengasamy; Jimiama M. M. Mase; Benjamin Rothwell; Grazziela P. Figueredo (ITSC, 2019)

Asymmetric Loss Functions for Deep Learning Early Predictions of Remaining Useful Life in Aerospace Gas Turbine Engines. - Divish Rengasamy; Benjamin Rothwell; Grazziela P. Figueredo (IJCNN, 2020)

Towards a More Reliable Interpretation of Machine Learning Outputs for Safety-Critical Systems using Feature Importance Fusion. - Divish Rengasamy; Benjamin Rothwell; Grazziela Patrocinio Figueredo (CoRR, 2020)

Deep Learning with Dynamically Weighted Loss Function for Sensor-Based Prognostics and Health Management. - Divish Rengasamy; Mina Jafari; Benjamin Rothwell; Xin Chen 003; Grazziela P. Figueredo (Sensors, 2020)

Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach. - Divish Rengasamy; Jimiama Mafeni Mase; Mercedes Torres Torres; Benjamin Rothwell; David A. Winkler; Grazziela P. Figueredo (CoRR, 2021)

Machine learning to determine the main factors affecting creep rates in laser powder bed fusion. - Salomé Sanchez; Divish Rengasamy; Christopher J. Hyde; Grazziela P. Figueredo; Benjamin Rothwell (J. Intell. Manuf., 2021)

EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python. - Aayush Kumar; Jimiama Mafeni Mase; Divish Rengasamy; Benjamin Rothwell; Mercedes Torres Torres; David A. Winkler; Grazziela P. Figueredo (LOD (2), 2022)

Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding. - Victoria Bell; Divish Rengasamy; Benjamin Rothwell; Grazziela P. Figueredo (CoRR, 2022)

Feature importance in machine learning models: A fuzzy information fusion approach. - Divish Rengasamy; Jimiama Mafeni Mase; Aayush Kumar; Benjamin Rothwell; Mercedes Torres Torres; Morgan R. Alexander; David A. Winkler; Grazziela P. Figueredo (Neurocomputing, 2022)

XCALibre.jl: A Julia XPU unstructured finite volume Computational Fluid Dynamics library. - Humberto Medina; Christopher D. Ellis; Tom Mazin; Oscar Osborn; Timothy Ward; Stephen Ambrose; Svetlana Aleksandrova; Benjamin Rothwell; Carol Eastwick (J. Open Source Softw., 2025)