Vander L. S. Freitas

Orcid: 0000-0001-7989-0816

According to our database1, Vander L. S. Freitas authored at least 22 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Benford's Law as a Distributional Prior for Post-Training Quantization of Large Language Models.
CoRR, February, 2026

Leveraging graph neural networks and mobility data for COVID-19 forecasting.
Appl. Soft Comput., 2026

2025
A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility.
CoRR, March, 2025

PD-Loss: Proxy-Decidability for Efficient Metric Learning.
Proceedings of the 38th SIBGRAPI Conference on Graphics, Patterns and Images, 2025

A NAS-Optimized Deep Learning Model for Customer Churn Prediction in Financial Services.
Proceedings of the Intelligent Systems - 35th Brazilian Conference, 2025

2024
ShpStreetGraph: From spatial relations of streets to graph representations.
Softw. Impacts, 2024

Leveraging Visibility Graphs for Enhanced Arrhythmia Classification with Graph Convolutional Networks.
CoRR, 2024

Toxic Text Classification in Portuguese: Is LLaMA 3.1 8B All You Need?
Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology, 2024

Toxic Speech Detection in Portuguese: A Comparative Study of Large Language Models.
Proceedings of the 16th International Conference on Computational Processing of Portuguese, 2024

2023
Graph4GIS: Geographical graphs for GIS platforms based on weather radar dataset.
Softw. Impacts, September, 2023

How Good Is ChatGPT For Detecting Hate Speech In Portuguese?
Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology, 2023

Séries Temporais Multivariadas Para Previsão de Lentidão de Trânsito: Uma Comparação Entre Prophet e LSTM.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Correlations Between Epidemiological Time Series Forecasting and Influence Regions of Brazilian Cities.
Proceedings of the XXIV Brazilian Symposium on Geoinformatics, 2023

Time Series Forecasting of COVID-19 Cases in Brazil with GNN and Mobility Networks.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Flood risk map from hydrological and mobility data: A case study in São Paulo (Brazil).
Trans. GIS, 2022

Global-threshold and backbone high-resolution weather radar networks are significantly complementary in a watershed.
CoRR, 2022

A Decidability-Based Loss Function.
Proceedings of the International Joint Conference on Neural Networks, 2022

The effects of COVID-19 on Chinese commuting patterns in early 2020.
Proceedings of the XXIII Brazilian Symposium on Geoinformatics, 2022

2021
Synchronization-based symmetric circular formations of mobile agents and the generation of chaotic trajectories.
Commun. Nonlinear Sci. Numer. Simul., 2021

2020
Robustness analysis in an inter-cities mobility network: modeling municipal, state and federal initiatives as failures and attacks.
CoRR, 2020

2019
Complex Networks Approach for Dynamical Characterization of Nonlinear Systems.
Int. J. Bifurc. Chaos, 2019

2017
Reactive Agent-based Model for Convergence of Autonomous Vehicles to Parallel Formations Heading to Predefined Directions of Motion.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017


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