activity
20212026
most citedSearching for changing-state AGNs in massive datasets -- I: applying deep learning and anomaly detection techniques to find AGNs with anomalous variability behaviours

48 citations · 48 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

Leveraging Wikidata for Geographically Informed Sociocultural Bias Dataset Creation: Application to Latin America

Yannis Karmim, Renato Pino, Hernan Contreras +6

Large Language Models (LLMs) exhibit inequalities with respect to various cultural contexts. Most prominent open-weights models are trained on Global North data and show prejudicia…

astro-ph.SR2025

Towards model-free stellar chemical abundances. Potential applications in the search for chemically peculiar stars in large spectroscopic surveys

Theosamuele Signor, Paula Jofré, Hernan Lira +3

Chemical abundance determinations from stellar spectra are challenged by observational noise, limitations in stellar models, and departures from simplifying assumptions. While trad…

cs.RO2024

Reinforcement-learning robotic sailboats: simulator and preliminary results

Eduardo Charles Vasconcellos, Ronald M Sampaio, André P D Araújo +7

This work focuses on the main challenges and problems in developing a virtual oceanic environment reproducing real experiments using Unmanned Surface Vehicles (USV) digital twins.…

astro-ph.IM2021★ 48 cited

Searching for changing-state AGNs in massive datasets -- I: applying deep learning and anomaly detection techniques to find AGNs with anomalous variability behaviours

P. Sánchez-Sáez, H. Lira, L. Martí +14

The classic classification scheme for Active Galactic Nuclei (AGNs) was recently challenged by the discovery of the so-called changing-state (changing-look) AGNs (CSAGNs). The phys…