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Found 6 papers, 3 papers with code
ElegansNet: a brief scientific report and initial experiments
The performance of the models is demonstrated against randomly wired networks and compared to artificial networks ranked on global benchmarks.
StaSiS-Net: a stacked and siamese stereo network for depth reconstruction in modern 3D laparoscopy.
Accurate and real-time methodologies for a non-invasive three-dimensional representa-tion and reconstruction of internal patient structures is one of the main research fieldsin computer-assisted surgery and endoscopy.
Blind microscopy image denoising with a deep residual and multiscale encoder/decoder network
In computer-aided diagnosis (CAD) focused on microscopy, denoising improves the quality of image analysis.
Signal metrics analysis of oscillatory patterns in bacterial multi-omic networks
Results: Network multi-omic integration has led to the discovery of interesting oscillatory signals.
Molecular Networks Computational Engineering, Finance, and Science I.5.2
Adaptive binarization based on fuzzy integrals
This document presents a new adaptive binarization technique based on fuzzy integral images through an efficient design of a modified SAT for fuzzy integrals.
A machine learning approach to investigate regulatory control circuits in bacterial metabolic pathways
In this work, a machine learning approach for identifying the multi-omics metabolic regulatory control circuits inside the pathways is described.
