A Partial Matching Convolution Neural Network for Source Retrieval of Plagiarism Detection

A Radon-based Convolutional Neural Network for Medical Image Retrieval

Image classification and retrieval systems have gained more attention because of easier access to high-tech medical imaging. However, the lack of availability of large-scaled balanced labelled data in medicine is still a challenge. Simplicity, practicality, efficiency, and effectiveness are the main targets in medical domain. To achieve these goals, Radon transformation, which is a well-known t...

Source Retrieval and Text Alignment Corpus Construction for Plagiarism Detection

For the task of source retrieval, we focus on the process of Download Filtering. For the process from chunking to search control, we aim at high recall, and for the process of download filtering, we devote to improve precision. A vote-based approach and a classification-based approach are incorporated to filter the searching results to get the plagiarism sources. For the task of text alignment ...

Supervised Ranking for Plagiarism Source Retrieval

Source retrieval involves making use of a search engine to retrieve candidate sources of plagiarism for a given suspicious document so that more accurate comparisons can be made. We describe a strategy for source retrieval that uses a supervised method to classify and rank search engine results as potential sources of plagiarism without retrieving the documents themselves. Evaluation shows the ...

Derivative Approach for Plagiarism Source Retrieval

This paper describes our approach to the PAN shared task of plagiarism source retrieval based on the strategy suggested by Williams et. al [1]. We also incorporate named entities queries similar to those of Elizalde [2].

Plagiarism Detection in Source Code