Data Scientist Ke Zhang’s Research Explores Homomorphic Encryption for Privacy-Preserving Marketing

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted consumer data. By combining ...

Daubert in the digital age — Proposed Fed. R. Evid. 707

Montes of the Western District of Louisiana discusses proposed Federal Rule of Evidence 707, which would reclassify certain ...
IEEE

Machine-Learning-Based Microwave Sensing: A Case Study for the Food Industry

Abstract: Despite the meticulous attention of food industries to prevent hazards in packaged goods, some contaminants may still elude the controls. Indeed, standard methods, like X-rays, metal ...
IEEE

Learning Machine Learning: A Case Study

Abstract: This correspondence reports on a case study conducted in the Master's-level Machine Learning (ML) course at Blekinge Institute of Technology, Sweden. The students participated in a ...
Scientific Research Publishing

Kotsiantis, S.B., Pierrakeas, C.J. and Pintelas, P.E. (2009) Use of Machine Learning Techniques for Educational Planning: A Case Study. Journal of Emerging Technologies in Web ...

ABSTRACT: Student dropout in primary education is a critical global challenge with significant long-term societal and individual consequences. Early identification of at-risk students is a crucial ...
Frontiers

Evaluating machine learning pipelines for multimodal neuroimaging in small cohorts: an ALS case study

Advancements in machine learning hold great promise for the analysis of multimodal neuroimaging data. They can help identify biomarkers and improve diagnosis for various neurological disorders.