Targeted Learning: From Machine Learning to Inference

Minimizing confounding is a key challenge to ensuring the fidelity of observational assessments of the real-world safety and effectiveness of medical product

eIQ® Toolkit NXP Semiconductors

PDF] Membership Inference Attacks Against Machine Learning Models

Artificial intelligence-based computational framework for drug-target prioritization and inference of novel repositionable drugs for Alzheimer's disease, Alzheimer's Research & Therapy

Causal inference and counterfactual prediction in machine learning for actionable healthcare

The membership inference attack (MIA).

Deploying Machine Learning Applications

Visual Search Target Inference in Natural Interaction Settings with Machine Learning

Model Inference in Machine Learning

Research Center for Targeted Machine Learning and Causal Inference