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LUCAS wiki

Here you'll find all the documentation pertaining to LUCAS and the API, training, modelling, features and data behind it, as well as the webapp API definitions and design decisions.

Use the sidebar and homepage to navigate between the major topics.

Table of Contents

General

• Development Guidelines
• Presentations
• Research
• Misc
• Email sent to request API access

LUCAS (Backend)

API

• Endpoint Definitions

Data Science

• ACLSW 2019
• Our datasets
• Experiment Results
• Research Analysis
• Hypothesis
• Machine Learning
  • Naive Bayes
  • Logistic Regression
• Deep Learning
  • Neural Networks: General Overview
  • Tensorflow and Keras
  • Convolutional Neural Networks
  • General Adversarial Networks
• Paper Section Drafts
  • Abstract
  • Motives
  • Introduction
  • Approach
  • Evaluation
  • Future Work
  • Related Work
  • Conclusion
  • Acknowledgements
• Feature and word embeddings
• References/Resources
• Correspondence with H. Aghakhani
• The Gotcha! Collection
• Grove Grooviness

Lucify (Frontend)

• ReviewMeta Analysis
• Research Analysis
• References/Resources