AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
IEEE

Adversarial Attacks and Defenses in Machine Learning-Empowered Communication Systems and Networks: A Contemporary Survey

Abstract: Adversarial attacks and defenses in machine learning and deep neural network (DNN) have been gaining significant attention due to the rapidly growing applications of deep learning in ...
Newspoint on MSN

IIT Delhi is offering an online course in AI and machine learning; JEE is not required—find out the fees and how to apply.

Students typically prepare for rigorous exams like JEE Advanced to study at IIT Delhi. However, there is now an opportunity to study at the institute without the requirement of clearing the JEE exam.
GitHub

a fast, header-only machine learning library

mlpack is an intuitive, fast, and flexible header-only C++ machine learning library with bindings to other languages. It is meant to be a machine learning analog to LAPACK, and aims to implement a ...
GitHub

Machine Learning Interpretability (MLI)

Machine learning algorithms create potentially more accurate models than linear models, but any increase in accuracy over more traditional, better-understood, and more easily explainable techniques is ...
sei.cmu

Explainability in Cybersecurity Data Science

Mellon, J., and Worrell, C., 2023: Explainability in Cybersecurity Data Science. Software Engineering Institute blog, Accessed June 24, 2026, https://doi.org/10.58012 ...
Nature

Self-report symptom-based endometriosis prediction using machine learning

Endometriosis is a chronic gynecological condition that affects 5–10% of reproductive age women. Nonetheless, the average time-to-diagnosis is usually between 6 and 10 years from the onset of symptoms ...
unite

Generative vs. Discriminative Machine Learning Models

Some machine learning models belong to either the “generative” or “discriminative” model categories. Yet what is the difference between these two categories of models? What does it mean for a model to ...
Nature

ilastik: interactive machine learning for (bio)image analysis

Rapid development of imaging technology is bringing more and more life scientists to experimental pipelines where the success of the entire undertaking hinges on the analysis of images. Image ...