Compressing Bayesian Networks: Swarm-Based Descent, Efficiency, and Posterior Accuracy -- De-Causalizing NAT-Modeled Bayesian Networks for Inference Efficiency -- A Novel Evaluation Methodology for Assessing Off-Policy Learning Methods in Contextual Bandits -- Synthesizing Controllers: On the Correspondence Between LTL Synthesis and Non-Deterministic Planning -- Logic-Based Benders Decomposition for Two-Stage Flexible Flow Shop Scheduling with Unrelated Parallel Machines -- Advice-Based Exploration in Model-Based Reinforcement Learning -- Deep Super Learner: A Deep Ensemble for Classification Problem -- One Single Deep Bidirectional LSTM Network for Word Sense Disambiguation of Text Data -- MedFact: Towards Improving Veracity of Medical Information in Social Media Using Applied Machine Learning -- Re-ranking Candidate Lists for Improved Lexical Induction -- Analysis of Social Media Posts for Early Detection of Mental Health Conditions -- Motor Bearing Fault diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal -- Mobile App for Detection of Counterfeit Banknotes -- A Multi-agent Framework for Understanding Addiction -- Infusing Domain Knowledge to Improve the Detection of Alzheimer's Disease from Everyday Motion Behavior -- An Incremental Machine Learning Algorithm for Nuclear Forensics -- MML-Based Approach for Determining the Number of Topics in EDCM Mixture Models -- Constrained Bayesian Optimization for Problems with Piece-wise Smooth Constraints -- Dimensionality Reduction and Visualization by Doubly Kernelized Unit Ball Embedding -- Accelerated Gradient and Block-wise Gradient Methods for Big Data Factorization -- Learning Belief Revision Operators -- Solving Constraint Satisfaction Problems Using Firey Algorithms -- An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem -- Predicting Transportation Modes of GPS Trajectories Using Feature Engineering and Noise Removal -- Prediction of Container Damage Insurance Claims for Optimized Maritime Port Operations -- Drug-Target Interaction Network Predictions for Drug Repurposing Using LASSO-based Regularized Linear Classification Model -- Optimal Scheduling for Smart Charging of Electric Vehicles Using Dynamic Programming -- Combining MCTS and A3C for Prediction of Spatially Spreading Processes in Forest Wildfire Settings -- Text-based Detection of Unauthorized Users of Social Media Accounts -- N-gram Based Approach for Automatic Prediction of Essay Rubric Marks -- Matching Resumes to Job Descriptions with Stacked Models -- Towards a Comprehensive Evaluation of Recommenders: A Cognition-based Approach -- A Sentence-level Sparse Gamma Topic Model for Sentiment Analysis -- Topic Detection and document Similarity on Financial News -- Software Defect Prediction from Code Quality Measurements via Machine Learning -- Automated Scheduling: Reinforcement Learning Approach to Algorithm Policy Learning -- Estimating Vineyard Grape Yield from Images -- Real-time Deep Learning Pedestrians Classification on a Micro-controller -- A Unified Evaluation Framework for Recommender Systems -- Early Detection of Alzheimer's Disease Using Deep Learning -- Learning with Prior Domain Knowledge and Insufficient Annotated Data -- Predicting Crime Using Spatial Features -- A Tool for Defining and Simulating Storage Strategies on the Smart Grid -- Decision Assist for Self-Driving Cars -- Rule Mining and Prediction Using the Flek Machine -- A New Machine Learning Engine.