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advent

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

aias

bisenetv1

Code for BiseNetV1

client-restful-web-service-neo4j

Code for developing a client for the RESTful web service of the NEO4j graph-oriented DB, using the JAX-RS framework.

concurrent-file-transfer-tcp-server

What is developed is a TCP server that, after having established a TCP connection with a client, accepts file transfer requests from the client and sends the requested files back, following a specific protocol

etpsolver

An Hybrid Tandem approach to solve examination timetabling problem.

ha-growing-tree-cnn

The objective of this work is to improve the Tree-CNN approach and this will be done by the HA-Growing algorithm (Human Adaptive-Growing), that enhances the growing process and integrates the data-driven approach with human knowledge, allowing user interaction during the training process.

iterative-file-transfer-tcp-server

What is developed is a TCP sequential server that, after having established a TCP connection with a client, accepts file transfer requests from the client and sends the requested files back, following the protocol specified.

online-shuttle-booking-website

What is developed is a website for managing online booking of a shared shuttle for people transportation.

pca-visualization-and-classification

The code applies Principal Component Analysis (PCA) on a set of images. It is shown what happen if different principal components are chosen as basis for image representation and classification.

pixda

Official Code for Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation. Here the paper: https://arxiv.org/abs/2110.11650

rns-serialization-and-java-library

Code to develop a road navigation system (RNS) serializer and a java library library that can be used to load and validate an XML file regarding the RNS system

rns-web-service-and-clients

Java implementation of the RNS system, and java developing of a vehicle and an administrator client for that web service.

rtda

support-vector-machines-svm

This code implements Support Vector Machines (SVMs) and perform data validation, cross validation and grid search in order to find the best parameters to evaluate the model.

tsne_resnet

Code to compute distance measurements among different domains/datasets