Kleyton da Costa

According to our database, Kleyton da Costa authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

GraphNetz: Statistical Benchmarking of Graph Neural Networks with Paired Tests and Rank Aggregation.

Kleyton da Costa, Bernardo Modenesi

CoRR, May, 2026

Divergence-Guided Particle Swarm Optimization.

Kleyton da Costa, Bernardo Modenesi, Ivan F. M. Menezes, Hélio Lopes

CoRR, April, 2026

The Confidence Manifold: Geometric Structure of Correctness Representations in Language Models.

Seonglae Cho, Zekun Wu, Kleyton da Costa, Adriano S. Koshiyama

CoRR, February, 2026

2025

Time series forecasting via integrating a filtering method: an application to electricity consumption.

Felipe Leite Coelho da Silva, Josiane da Silva Cordeiro, Kleyton da Costa, Nemias Saboya, Paulo Canas Rodrigues, Javier Linkolk López-Gonzales

Comput. Stat., December, 2025

LibVulnWatch: A Deep Assessment Agent System and Leaderboard for Uncovering Hidden Vulnerabilities in Open-Source AI Libraries.

Zekun Wu, Seonglae Cho, Umar Mohammed, Cristian E. Muñoz Villalobos, Kleyton da Costa, Xin Guan, Theo King, Ze Wang, Emre Kazim, Adriano S. Koshiyama

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025

2023

Anomaly Detection in Global Financial Markets with Graph Neural Networks and Nonextensive Entropy.

Kleyton da Costa

CoRR, 2023

Local and Global Explainability Metrics for Machine Learning Predictions.

Cristian E. Muñoz, Kleyton da Costa, Bernardo Modenesi, Adriano S. Koshiyama

CoRR, 2023