As Machine Learning (ML) applications rapidly grow, concerns about adversarial attacks compromising their reliability have gained significant attention. One unsupervised ML method known for its ...

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Abstract: Recommender systems (RSs) have gained significant attention for their ability to model user preferences and predict future trends. Collaborative filtering (CF), particularly through ...

Power over Coax (PoC) systems, which deliver both power and data over a single coaxial cable, require specialized diagnostic and monitoring techniques. Faults can occur in the cable or within the ...

PLANO, Texas--(BUSINESS WIRE)--Digital Matrix Systems, Inc. (DMS) announced today that Mariner Finance, LLC (“Mariner Finance”) has selected the company’s CreditBrowser® solution. Baltimore-based ...

Yandex has recently made a significant contribution to the recommender systems community by releasing Yambda, the world’s largest publicly available dataset for recommender system research and ...

Abstract: Recommender Systems have become integral to most e-commerce applications and online platforms. The recommended suggestions heavily impact customer retention and business performance. One of ...

Matrix factorization techniques, such as principal component analysis (PCA) and independent component analysis (ICA), are widely used to extract geological processes from geochemical data. However, ...

PLANO, Texas--(BUSINESS WIRE)--Digital Matrix Systems, Inc. (DMS), a leading provider of data and analytics solutions, is excited to announce its participation as a sponsor of the CBA LIVE 2025 ...

Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington 98195, United States ...