Token-level activations, exact-equivalence reports, faithful local sensitivities and analytic straight-line Integrated Gradients obtained after algebraically converting a selected ReLU feed-forward block from a version-pinned public neural-network checkpoint into a piecewise-linear KAN. No fitting or retraining is used. The release includes the exact source snapshot needed for reproduction, but does not redistribute the upstream checkpoint or functionally equivalent KAN parameters. Contact: Rafael Asorey Cacheda, rafael.asorey@upct.es. Funding acknowledgement (AEI wording): Proyecto PID2023-148214OB-C21 financiado por MICIU/AEI/10.13039/501100011033 y por FEDER, UE. Project record: https://portalinvestigacion.upct.es/proyectos/921368/detalle
Sentiment analysis plays a vital role in identifying emotional patterns expressed through social media content, enabling early recognition of mental health concerns. DeepSentiMind presents an intelligent ensemble framework for social media-based mental health prediction using nat…
Background. Post-marketing pharmacovigilance depends on the timely identification of serious individual case safety reports (ICSRs) from large spontaneous-reporting databases such as the FDA Adverse Event Reporting System (FAERS). Machine-learning triage has been proposed to prio…
Brain tumors are among the most life-threatening neurological disorders, and their early, accurate diagnosis through Magnetic Resonance Imaging (MRI) is critical for effective treatment planning. Manual interpretation of MRI scans is time-consuming, subjective, and prone to inter…
We numerically test the three-time Leggett–Garg inequality K₃ ≤ 1 for the standard B₃ Fibonacci-anyon braiding representation on the two-dimensional fusion space of three τ anyons. Exhaustive enumeration over all 4^L braid words up to length L = 11 and random sampling to L = 40 s…
Initial public release This is the first public software release accompanying the manuscript: A Theory-Grounded Diagnostic Framework for Temporal Computation in Spiking Neural Networks The framework separates four properties that are often conflated in the analysis of spiking neu…
This reproducibility package supports the manuscript “Explainable and Leakage-Conscious Machine Learning for Athlete Injury Risk Modeling Across Heterogeneous Datasets.” It contains the executed and clean analysis notebooks, the corresponding Python script, exact software-version…