Empirical study on Ford Fulkerson, PreFlow Push and Scaling Ford Fulkerson Algorithm
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Updated
Jan 15, 2018 - Java
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/
R package: crseEventStudy
Julia package providing access to the Fama-French data available on the Ken French Data Library
Network Simulation Framework, with a Zest of Empiricism
This is the project repository of our TOSEM 2023 paper: Toward Understanding Deep Learning Framework Bugs.
An Inquiry Into the Influence of Financial Capital On Students’ Aspiration for Career Success
Evolution of a Haskell repository and its use of monads: an exploratory study of Stackage
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.
This script formats program code in a way that the Presentation software displays it with configurable syntax highlighting.
Reproduction package for the paper "A Large-scale Study of Security Vulnerability Support on Developer Q&A Websites" in the Evaluation and Assessment in Software Engineering (EASE) 2021
The repository contains code and data for the paper https://github.com/sumonbis/ML-Fairness/blob/master/ml-fairness.pdf, to be appeared at ESEC/FSE 2020.
Masterthesis in Economics. Empirical study of the impact of US-universities' ranking placement on application processes and outcomes.
This repository contains all of the files involved in my Applied Economics Dissertation (AED) as part of my BSc Economics course at the University of Bristol. The dissertation is titled 'Herding within Chinese Equity Markets in Response to COVID-19 'Lockdown Style' Containment Measures'.
A resources list of empirical studies for natural language processing.
service oriented usable security
Analysis of Splay Trees, BST and AVL Trees.
Robust Smooth Heterogeneous Treatment Effect Estimation using Causal Machine Learning
Extract and aggregate tables of empirical results from computer science papers
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