cmlab
We focus on computational problems for understanding online media and their interactions with and among humans.
Building 115, North Rd College of Engineering and Computer Science The Australian National University Canberra, ACT 2601, Australia
Pinned Repositories
cascade-influence
compsumm
Code and Datasets for AAAI paper "Comparative Document Summarisation via Classification"
hipie
A web-based visualiser for HIP
media_landscape
Code and Data for paper: The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries (CSCW '23)
naming-with-visual-context
Supporting files for two papers on naming visual concepts.
rnn-mas
Code for Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks, ICWSM'18 paper
semstyle
Code for learning to generate stylized image captions from unaligned text
sir-hawkes
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations
tour-cikm16
youtube-insight
An integrated YouTube data crawler.
cmlab's Repositories
computationalmedia/semstyle
Code for learning to generate stylized image captions from unaligned text
computationalmedia/sir-hawkes
SIR-Hawkes: Linking Epidemic Models and Hawkes Processes to Model Diffusions in Finite Populations
computationalmedia/cascade-influence
computationalmedia/compsumm
Code and Datasets for AAAI paper "Comparative Document Summarisation via Classification"
computationalmedia/hipie
A web-based visualiser for HIP
computationalmedia/rnn-mas
Code for Modeling Popularity in Asynchronous Social Media Streams with Recurrent Neural Networks, ICWSM'18 paper
computationalmedia/youtube-insight
An integrated YouTube data crawler.
computationalmedia/media_landscape
Code and Data for paper: The Shapes of the Fourth Estate During the Pandemic: Profiling COVID-19 News Consumption in Eight Countries (CSCW '23)
computationalmedia/naming-with-visual-context
Supporting files for two papers on naming visual concepts.
computationalmedia/tour-cikm16
computationalmedia/hip-popularity
This repo contains data, source code and other ressources related to the paper: "Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity"
computationalmedia/supmmd
SupMMD EMNLP paper
computationalmedia/featuredriven-hawkes
Code and Data for CIKM Paper Feature Driven and Point Process Approaches for Popularity Prediction
computationalmedia/numericalHawkes