Artificial Intelligence

Chapter 1 Early Detection of Sepsis Induced Deterioration Using Machine Learning

Chapter 2 Deriving Formulas for Integer Sequences Using Inductive Programming

Chapter 3 All or In-cloud: How the Identification of Six Types of Anomalies Is Affected by the Discretization Method

Chapter 5 Model Selection for Multi-directional Ensemble of Regression and Classification Trees

Chapter 6 Finding Dissimilar Explanations in Bayesian Networks: Complexity Results

Chapter 7 Beyond Local Nash Equilibria for Adversarial Networks

Chapter 7 Beyond Local Nash Equilibria for Adversarial Networks

Chapter 8 Deep Multi-agent Reinforcement Learning in a Homogeneous Open Population

Chapter 9 Computing and Predicting Winning Hands in the Trick-Taking Game of Klaverjas

Chapter 10 Style Transfer of Abstract Drum Patterns Using a Light-Weight Hierarchical Autoencoder

Chapter 11 Assessing the Potential of Classical Q-learning in General Game Playing

Chapter 12 Visual Rationalizations in Deep Reinforcement Learning for Atari Games