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…
D013 Prime Elementology — Prime Spectral Descriptor Atlas for Synthetic RF Dataset ID: D013Version: 2.0Dataset Type: Synthetic Research DatasetAuthor: Phan Thành TrungORCID: 0009-0000-7520-6781DOI: 10.5281/zenodo.21569013 1. Overview D013 Prime Elementology — Prime Spectral Descr…
## Description The **BPS Rheumatic and Autoimmune Procurement Dataset (BPS-RAPD)** is a curated dataset derived from the **Banco de Preços em Saúde (BPS)**, an official public information system maintained by the Brazilian Ministry of Health. The dataset contains public procureme…
Modern robotic systems combine heterogeneous control elements that operate at different time scales and pursue different local objectives, including hardware protection, servo control, reflex control, safety supervision, motion and task planning, learned policies, remote operatio…
This paper develops a causal theory for distinguishing information processing from genuine knowledge acquisition in artificial intelligence. Large language models can generate accurate explanations, solve unfamiliar problems, and reconstruct complex conceptual relations. However,…