Abstract: Systems and methods for identifying incorrect labels and improving label correction for machine learning for security. The systems and methods including receiving data with labels; training one or more Machine Learning (ML) models to label the received data; identifying disagreements between the labels provided by the one or more ML models and the labels received with the data; and providing one or more groups of the data for review for incorrect labels.

Abstract: Systems and methods for learning from mistakes to improve detection rates of Machine Learning (ML) models. The systems and methods including receiving data with labels; running the data through a trained ML model for predictions; identifying errors in the predictions based on the labels received with the data; adjusting weights associated with samples in the data based on the identified errors; and retraining the ML model with the adjusted weights.

Abstract: Methods and systems for enhanced thermal recovery of subsurface hydrocarbons comprising the use of multilateral branches, wherein the multilateral wells are completed in a manner to improve individual branch control.