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: The main objective of this work is to improve and evaluate the effectiveness of the neural network (NN) architecture in the domain of estimation of direction of arrival (DOA), with an ...
¹School of Electrical and Computer Engineering, University of Oklahoma, Norman, OK 73019, USA ²Center for Quantum and Technology, University of Oklahoma, Norman, OK 73019 USA Quantum machine learning ...
We should add a linear classifier (logistic regression style) as an alternative to the current MLP in patient-level modeling. Same input format and preprocessing as MLP (patient feature vectors).
Researchers at Anthropic, the company behind the Claude AI assistant, have developed an approach they believe provides a practical, scalable method to make it harder for malicious actors to jailbreak ...
Meta has shared more information about how it plans to use AI to catch teens who lie about their age on Instagram. As first reported by Bloomberg, early next year, the company will deploy “adult ...
Jeremy has more than 2200 published articles on Collider to his name, and has been writing for the site since February 2022. He's an omnivore when it comes to his movie-watching diet, so will gladly ...
Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...
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