Accepted papers

  • Jatin Bedi and Durga Toshniwal.
    Data Decomposition based Learning for Electricity Demand Forecasting

  • Juan de Benedetti, Namir Oues, Zhenchen Wang, Puja Myles and Allan Tucker.
    Practical Lessons from Generating Synthetic Healthcare Data with Bayesian Networks

  • Benjamin Evans, Allan Tucker, Oliver Wearn and Chris Carbone.
    Reasoning about Neural Network Activations: An Application in Spatial Animal Behaviour from Camera Trap Classifications

  • Seyed Erfan Sajjadi, Barbara Draghi, Lucia Sacchi, Arianna Dagliani, John Holmes and Allan Tucker.
    Building Trajectories over Topology with TDA-PTS: An Application in Modelling Temporal Phenotypes of Disease

  • Soumajyoti Sarkar and Hamidreza Alvari.
    Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org

  • Hendrik Santoso Sugiarto and Ee Peng Lim.
    On Modeling Labor Markets for Fine-grained Insights

  • Fabio Massimo Zennaro.
    A Left Realist Critique of the Political Value of Adopting Machine Learning Systems in Criminal Justice