Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Abstract: Explainable ensemble learning combines explainable artificial intelligence (XAI) and ensemble learning (EL) to solve the closed-box problem of EL and provide a clear and transparent ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...
Techno-Science.net on MSN
AI: Some architectures are fundamentally close to the human brain
Some artificial intelligence models can already resemble the human brain even before having learned anything. This surprising finding comes from a study that challenges traditional approaches ...
Abstract: Distributed Machine Learning (D-ML), such as Federated Learning (FL) and Split Learning (SL), aims at resolving the limitations of Centralized Machine Learning (C-ML) by enhancing ...
Space-Radiation-Tolerant is a research project by Rishab Nuguru with core principles focused around sustainability in space. RadML was designed to help provide cost efficient solution for COTS ...
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