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Author

J. F. Rocha

2 papers indexed here

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Preprint Oct 2026

Region Aware Squeeze-and-Excitation Networks for Image Segmentation

Squeeze-and-Excitation (SE) modules improve convolutional networks by modeling channel-wise dependencies, but global average pooling collapses spatial structure into a single per-channel descriptor, limiting their effectiveness for dense prediction tasks such as image segmentation. We generalize SE by replacing global...

Jack Roberts, Praneeth Tummala, Kavi Sarna et al. · 0 citations
Sep 2026

Interpretable machine learning models for predicting acetylcholinesterase inhibition by ionic liquids.

The widespread application of ionic liquids has been limited by uncertainties related to their ecotoxicity. In this article, we investigate the relationship between molecular descriptors of ionic liquids and acetylcholinesterase (AChE) inhibition using a QSAR approach coupled with machine learning models. An initial se...

Davi S. Alexandrino, F. A. A. Rodrigues, Sheila M. G. Santos et al. · 0 citations

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