DeepXplainer: An interpretable deep learning based approach for lung cancer detection using explainable artificial intelligence
Niyaz Ahmad Wani(University of Rajasthan), Jatin Bedi(Thapar Institute of Engineering & Technology), Ravinder Kumar
Cited by 274
Related Papers
Deep learning framework to forecast electricity demand
|Applied Energy|2019|472
Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting
|IEEE Access|2018|195
Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
|Information Fusion|2024|139
Energy load time-series forecast using decomposition and autoencoder integrated memory network
|Applied Soft Computing|2020|92
Harnessing Fusion Modeling for Enhanced Breast Cancer Classification through Interpretable Artificial Intelligence and In-Depth Explanations
|Engineering Applications of Artificial Intelligence|2024|69