Pedro Seber

According to our database, Pedro Seber authored at least 7 papers between 2024 and 2026.

Collaborative distances:

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

2026

Improving Performance in Classification Tasks with LCEN and the Weighted Focal Differentiable MCC Loss.

Pedro Seber, Richard D. Braatz

CoRR, April, 2026

2025

LCEN: A Nonlinear, Interpretable Feature Selection and Machine Learning Algorithm.

Pedro Seber, Richard D. Braatz

Trans. Mach. Learn. Res., 2025

Linear and neural network models for predicting N-glycosylation in Chinese Hamster Ovary cells based on B4GALT levels.

Pedro Seber, Richard D. Braatz

Comput. Chem. Eng., 2025

Improving N-Glycosylation and Biopharmaceutical Production Predictions Using AutoML-Built Residual Hybrid Models.

Pedro Seber, Richard D. Braatz

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers and RNNs Trained with a New Loss Function.

Pedro Seber

CoRR, 2024

LCEN: A Novel Feature Selection Algorithm for Nonlinear, Interpretable Machine Learning Models.

Pedro Seber, Richard D. Braatz

CoRR, 2024

Recurrent neural network-based prediction of O-GlcNAcylation sites in mammalian proteins.

Pedro Seber, Richard D. Braatz

Comput. Chem. Eng., 2024