Machine Learning and Knowledge Discovery in Databases

ADS Data Science Applications.- Neural Article Pair Modeling for Wikipedia Sub-article Matching.- LinNet: Probabilistic Lineup Evaluation Through Network Embedding.- Improving Emotion Detection with Sub-clip Boosting.- Machine Learning for Targeted Assimilation of Satellite Data.- From Empirical Analysis to Public Policy: Evaluating Housing Systems for Homeless Youth.- Discovering Groups of Signals in In-Vehicle Network Traces for Redundancy Detection and Functional Grouping.- ADS E-commerce.- SPEEDING up the Metabolism in E-commerce by Reinforcement Mechanism DESIGN.- Intent-aware Audience Targeting for Ride-hailing Service.- A Recurrent Neural Network Survival Model: Predicting Web User Return Time.- Implicit Linking of Food Entities in Social Media.- A Practical Deep Online Ranking System in E-commerce Recommendation.- ADS Engineering and Design.- ST-DenNetFus: A New Deep Learning Approach for Network Demand Prediction.- Automating Layout Synthesis with Constructive Preference Elicitation.- Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems.- Learning Cheap and Novel Flight Itineraries.- Towards Resource-Efficient Classifiers for Always-On Monitoring.- ADS Financial / Security.- Uncertainty Modelling in Deep Networks: Forecasting Short and Noisy Series.- Using Reinforcement Learning to Conceal Honeypot Functionality.- Flexible Inference for Cyberbully Incident Detection.- Solving the \false positives" problem in fraud prediction - Automated Data Science at an Industrial Scale.- Learning Tensor-based Representations from Brain-Computer Interface Data for Cybersecurity.- ADS Health.- Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation.- AMIE: Automatic Monitoring of Indoor Exercises.- Rough Set Theory as a Data Mining Technique: A Case Study in Epidemiology and Cancer Incidence Prediction.- Selecting Influenza Mitigation Strategies Using Bayesian Bandits.-