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 ...
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Python neural network for multiclass classification using softmax
Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by ...
Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...
In the Mobile Price Classification project, I built a predictive model to categorize mobile phones into different price ranges based on their features by applying machine learning techniques. Here we ...
Abstract: Accurate identification of femoral stem implants in hip arthroplasty is essential for effective revision surgery, minimizing operative complexity, patient morbidity, intraoperative blood ...
Abstract: The accurate slip detection is essential for achieving reliable robotic manipulation. The representation of tactile data and the architecture of the slip classification model significantly ...
Microsoft has added official Python support to Aspire 13, expanding the platform beyond .NET and JavaScript for building and running distributed apps. Documented today in a Microsoft DevBlogs post, ...
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