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Introduction Schedule Activities Presentations Resources

Final Presentations

We propose a list of publications on a series of topics for your final presentation. Choose a paper of your interest and prepare a few slides and a short presentation of 10 min describing the main ideas of the paper you chose. You may prepare and present in pairs.

The goal is for you to be able to understand and synthesize technical publications in fields that use machine learning tools.

PRESENTATION GUIDELINES

Topics

Read through the following list of proposed topics and publications. When you are ready and have selected a paper, follow this link and write your name and your partner’s next to your choice. Choosing a paper is a first come, first served assignment; you may not choose a paper that is no longer available.

You have until Thursday July 04th 23:59 to select a paper. If you don’t make your selection by the specified date, we will assign you a paper and a partner.

Agriculture

  1. A data-driven, machine learning framework for optimal pest management in cotton
  2. Machine learning methods for crop yield prediction and climate change impact assessment in agriculture
  3. Using Deep Learning for Image-Based Plant Disease Detection

Climate Change and Conservation

  1. Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets
  2. Climate Change and Power Security: Power Load Prediction for Rural Electrical Microgrids Using Long Short Term Memory and Artificial Neural Networks
  3. Exploiting Data and Human Knowledge for Predicting Wildlife Poaching
  4. Machine Learning to Analyze the Social-Ecological Impacts of Natural Resource Policy: Insights from Community Forest Management in the Indian Himalaya
  5. Predictive segmentation of energy consumers

Finance Business

  1. Customer segmentation of multiple category data in e-commerce using a soft-clustering approach
  2. Learned lessons in credit card fraud detection from a practitioner perspective
  3. Machine Learning for User Modeling

Health Care and Epidemology

  1. An unsupervised machine learning model for discovering latent infectious diseases using social media data
  2. Is Demography Destiny? Application of Machine Learning Techniques to Accurately Predict Population Health Outcomes from a Minimal Demographic Dataset
  3. Prediction of In-hospital Mortality inEmergency Department Patients With Sepsis:A Local Big Data–Driven, Machine LearningApproach
  4. Rodent reservoirs of future zoonotic diseases
  5. Using Machine Learning Classifiers to Assist Healthcare-Related Decisions: Classification of Electronic Patient Records

Social Welfare

  1. A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes
  2. From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth
  3. Working women and caste in India: A study of social disadvantage using feature attribution

Urban Planning

  1. A Deep Learning Approach for Population Estimation from Satellite Imagery
  2. Infrastructure Quality Assessment in Africa using Satellite Imagery and Deep Learning
  3. Spatio-temporal variation in travel regularity through transit user profiling