Empirical study on Ford Fulkerson, PreFlow Push and Scaling Ford Fulkerson Algorithm

Paper: Exploring the Impact of Code Clones on Deep Learning Software.See our website: https://codeclonedl.github.io/datasets.com/

Network Simulation Framework, with a Zest of Empiricism

An Inquiry Into the Influence of Financial Capital On Students’ Aspiration for Career Success

R-package for creating and managing studies on the Prolific platform (https://www.prolific.co)

This project aims to answer the question of the common features of successful social enterprises by applying unsupervised learning on 5,210 B corporations impact data.

Sorting algorithms analysis

Test for randomised experiment with four group

This script formats program code in a way that the Presentation software displays it with configurable syntax highlighting.

Análise Empirica

EASE 2022 - An empirical study on the Performance and Energy Consumption of AI Containerization Strategies for Computer-Vision Tasks

Analysis of Splay Trees, BST and AVL Trees.

Robust Smooth Heterogeneous Treatment Effect Estimation using Causal Machine Learning

service oriented usable security

Empirical Analysis of Jenkins Pipelines on GitHub

Engenharia de Software Empírica (UTFPR)

Hierarchically embedded scales of movement shape the social networks of vampire bats

This is an empirical study on the working of different Deep Learning Models on Skin Disease Classification on Dermascopic images. It studies the working of models like CNN, ResNet, DenseNet, MobileNet, and, tells which model is better without hyperparameter tuning. the dataset used is from Kaggle.

Masterthesis in Economics. Empirical study of the impact of US-universities' ranking placement on application processes and outcomes.