Lucas P. Damasceno

According to our database, Lucas P. Damasceno authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.

Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas

Mach. Learn., September, 2024

Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events.

Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Nathalie Japkowicz, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas

Mach. Learn., April, 2024

2023

Independent Vector Analysis with Sparse Inverse Covariance Estimation: An Application to Misinformation Detection.

Lucas P. Damasceno, Egzona Rexhepi, Allison Shafer, Ian Whitehouse, Charles C. Cavalcante, Roberto Corizzo, Zois Boukouvalas

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Multimodal One-class Learning for Malicious Online Content Detection.

Roberto Corizzo, Nora Lewis, Lucas P. Damasceno, Allison Shafer, Charles C. Cavalcante, Zois Boukouvalas

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Efficient Multivariate Data Fusion for Misinformation Detection During High Impact Events.

Lucas P. Damasceno, Allison Shafer, Nathalie Japkowicz, Charles C. Cavalcante, Zois Boukouvalas

Proceedings of the Discovery Science - 25th International Conference, 2022

2021

Independent Vector Analysis Using Semi-Parametric Density Estimation via Multivariate Entropy Maximization.

Lucas P. Damasceno, Charles C. Cavalcante, Tülay Adali, Zois Boukouvalas

Proceedings of the IEEE International Conference on Acoustics, 2021