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S. Brahnam

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2021

High performing ensemble of convolutional neural networks for insect pest image detection

Loris Nanni, Alessandro Manfe, Gianluca Maguolo +2

Pest infestation is a major cause of crop damage and lost revenues worldwide. Automatic identification of invasive insects would greatly speedup the identification of pests and exp…

cs.CV2021

Comparison of different convolutional neural network activation functions and methods for building ensembles

Loris Nanni, Gianluca Maguolo, Sheryl Brahnam +1

Recently, much attention has been devoted to finding highly efficient and powerful activation functions for CNN layers. Because activation functions inject different nonlinearities…

q-bio.QM2021

Neural networks for Anatomical Therapeutic Chemical (ATC) classification

Loris Nanni, Alessandra Lumini, Sheryl Brahnam

Motivation: Automatic Anatomical Therapeutic Chemical (ATC) classification is a critical and highly competitive area of research in bioinformatics because of its potential for expe…

cs.CV2019

iProStruct2D: Identifying protein structural classes by deep learning via 2D representations

Loris Nanni, Alessandra Lumini, Federica Pasquali +1

In this paper we address the problem of protein classification starting from a multi-view 2D representation of proteins. From each 3D protein structure, a large set of 2D projectio…

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