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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.
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.