Bevan Koopman's repositories
deep-learning-fake-news-classifer
Classify news article titles from ABC News and Examiner according to quality.
med_eval
This page provides a test collection with associated queries and relevance judgement for evaluating information retrieval of medical records. Details of the design of the evaluation framework are provided in the following paper: Koopman, B., Bruza, P., Sitbon, L., Lawley, M. Evaluation of medical information retrieval. Poster proceedings of the 34st annual international ACM SIGIR conference on Research and development in information retrieval, 2011.
trec_tools
A simple toolkit to process TREC files in Python.
academicpages.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
angular-seed
Seed project for angular apps.
bevankoopman.github.io
Bevan Koopman
evaluator
Python script for evaluating classification tasks against ground truth.
GraphINferenceModel
C++ implementation of the Graph INference Model - an information retrieval model combining knowledge graphs and statistical IR models.
importantdates.net
Online database of computer science conference deadlines.
jGraphINferenceModel
Java implementation of the Graph INference Model - an information retrieval model combining knowledge graphs and statistical IR models.
learn-julia
Resource for learning the Julia language.
r-libsvm-format-read-write
R code for reading and writing files in libsvm format
scikit-learn
scikit-learn: machine learning in Python
TextAnalysis.jl
Julia package for text analysis
tiny-contacts
Automatically exported from code.google.com/p/tiny-contacts