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 ...
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Digital avatar generation company Lemon Slice is working to add a video layer to AI chatbots with a new diffusion model that ...
Data collected under the Death in Custody Reporting Act has some serious problems. Here’s how we fixed some of them.
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...
Abstract: Broad learning system (BLS) is an effective neural network requiring no deep architecture, however it is somehow fragile to noisy data. The previous robust broad models directly map features ...
General Semi-Nonnegative Matrix Factorization and Its Application for Statistical Process Monitoring
Abstract: As an effective feature extraction and dimensionality reduction technique, nonnegative matrix factorization (NMF) has been widely applied in fault detection in recent years. The requirement ...
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