mgiamberardino Goto Github PK

better-json

chemical-elements

Project to a DZone Java Challenge

craco

Create React App Configuration Override, an easy and comprehensible configuration layer for create-react-app

docs

The open-source repo for docs.github.com

escrutinio-ciudadano

Sistema para la carga de datos y recuento provisorio

escrutinio-social

Una aplicación web para validar colaborativamente el escrutinio provisorio

express

Fast, unopinionated, minimalist web framework for node.

express-api-chain

express-rate-limiter

fundus-vessel-segmentation-tbme

In this work, we present an extensive description and evaluation of our method for blood vessel segmentation in fundus images based on a discriminatively trained, fully connected conditional random field model. Standard segmentation priors such as a Potts model or total variation usually fail when dealing with thin and elongated structures. We overcome this difficulty by using a conditional random field model with more expressive potentials, taking advantage of recent results enabling inference of fully connected models almost in real-time. Parameters of the method are learned automatically using a structured output support vector machine, a supervised technique widely used for structured prediction in a number of machine learning applications. Our method, trained with state of the art features, is evaluated both quantitatively and qualitatively on four publicly available data sets: DRIVE, STARE, CHASEDB1 and HRF. Additionally, a quantitative comparison with respect to other strategies is included. The experimental results show that this approach outperforms other techniques when evaluated in terms of sensitivity, F1-score, G-mean and Matthews correlation coefficient. Additionally, it was observed that the fully connected model is able to better distinguish the desired structures than the local neighborhood based approach. Results suggest that this method is suitable for the task of segmenting elongated structures, a feature that can be exploited to contribute with other medical and biological applications.

google-cloud-gui

GUI for Google Cloud Datastore emulator and production

graphql-flutter

A GraphQL client for Flutter, bringing all the features from a modern GraphQL client to one easy to use package.

graphql-scalars

A library of custom GraphQL Scalars for creating precise type-safe GraphQL schemas.

graphql-tools

:wrench: Build, mock, and stitch a GraphQL schema using the schema language

java-bootcamp

Java Bootcamp

java2plantuml

Reflectively gathers Types and associations from given packages and render PlantUML scr code

jnetic

Library for genetic algorithms

maugiam

mgiamberardino.github.io

mqtt-code-challenge

mqtt-code-challenge-be

mqtt-code-challenge-fe

ng4-spa

This is a repository for an Angular 4 course from Udemy.

node-mongoose-fixtures

Create mongoose fixtures from a dataset.

node-rate-limiter

A typescript framework agnostic Rate Limiter

pipes

pylifegame

pyrestserver

This is a basic module wich is useful to create a basic rest server just with a few lines.

react-interview-challenge

react-workshop