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 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using pseudo-inverse training. Compared to other training techniques, such as stochastic gradient descent, ...

Kronos is the first open-source foundation model for financial candlesticks (K-lines), trained on data from over 45 global exchanges. Kronos is a family of decoder-only foundation models, pre-trained ...

Abstract: Magneto-acousto-electrical tomography (MAET) is a hybrid imaging method that combines the high spatial resolution of ultrasonography with the high contrast of electrical impedance tomography ...

Abstract: This study investigates the prediction accuracy of type 2 diabetes using the Pima-Indians-Diabetes dataset, employing a novel classifier that integrates Random Forest and K-fold ...

KAT is a suite of tools that analyse jellyfish hashes or sequence files (fasta or fastq) using kmer counts. The following tools are currently available in KAT: kmer: Produces a k-mer hash containing ...