The following resources are based on the Mechanisms of Action (MoA) Prediction competition.
Quantile Normalization YT video
Extracting and Composing Robust Features with Denoising Autoencoders
On the Stratification of Multi-label Data
Multi-Label Sampling based on Local Label Imbalance
Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning
When Does Label Smoothing Help?
Multi-label deep learning with scikit-multilearn
TabNet: Attentive Interpretable Tabular Learning
DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture