Big Data Science: Applying Unsupervised and Supervised Machine Learning Algorithms to Predict and Differentiate Between Vulvodynia and Healthy Controls Using High Dimensional Neuroimaging Data

Machine Learning Based User Modeling for Enterprise Security and Privacy Risk Mitigation

Complexity in Coevolution and Deep Learning

Real-Time Image Editing and iOS Application with Convolutional Networks

Learning Perceptual Similarity from Crowds and Machines

Provable and Practical Algorithms for Non-Convex Problems in Machine Learning

Toward Automated Sketching Collaborators: An Analogical Route

Discovering and Exploiting Structure for Gaussian Processes

Joint-Stochastic Spectral Inference for Robust Co-Occurrence Modeling and Latent Topic Analysis

Examining Effects of Groups and Intergroup Contexts on Human-Robot Interaction

Capabilities of Robotics Applications in Clinical Rehabilitation and Behavioral Control

Automated Runtime Data Analysis for System Reliability Management

Contributions to Machine Learning in Biomedical Informatics

System for Serving Deep Neural Networks Efficiently

Domain Invariant and Semantic Aware Visual Servoing

Deep Learning Methods for Mining Genomic Sequence Patterns

Learning to Navigate in Visual Environments

Online MindReader Game Utilizing Weighted Hedging Trees

Causal Reasoning and Machine Learning Models for Cellular Regulatory Mechanisms

Semi-Supervised Machine Learning for Network Intrusion Detection

A Study of Ensemble Learning with AdaBoost and NEAT

Real Time Zika Virus Detection System with Unknown Symptoms and Visualization

Automatic Selection of MapReduce Machine Learning Algorithms: A Model Building Approach

Adaptation and Augmentation: Towards Better Rescoring Strategies for Automatic Speech Recognition and Spoken Term Detection

Enhancement of Deep Neural Networks and Their Application to Text Mining

Domain-Specific Knowledge Exploration with Ontology Hierarchical Re-ranking and Adaptive Learning and Extension

Behavioral Health Stigma: Breaking the Code with Stigma Index

Compressed Deep Supervision and Residual Learning Network for Scene Recognition

Orchestrating Dynamic Deep Learning for Skin Cancer Classification on Mobile Systems

Incorporating EMR and Genomic Data Using NLP and Machine Learning to Refine Cancer Treatment

Fine Tuning Image Input Sets for Deep Neural Networks Using Hallucinations

Design and Implementation of a Domain Specific Language for Deep Learning

From Motor Control to Scene Perception: Using Machine Learning to Model Human Behavior and Cognition

Comprehensive Always-on Sensing (CAS) Platform for Mobile Contextual Awareness

Bounty Hunting: A Dynamic Multiagent Task Allocation Mechanism

Application of Machine Learning: An Analysis of Asian Options Pricing Using Neural Network

Learning Hierarchical Abstractions from Human Demonstrations for Application-Scale Domains

Communicating Plans in Ad Hoc Multiagent Teams

A New Reinforcement Learning Algorithm with Fixed Exploration for Semi-Markov Decision Processes

Learning to Generate Individual Sequence Data from Population Statistics Using Dynamic Bayesian Networks

Collaborative Context-Aware Visual Question Answering

Trajectory-based Human Action Recognition

Using High-Order Prior Belief Predictions in Hierarchical Temporal Memory for Streaming Anomaly Detection

Acquiring Diverse Robot Skills via Maximum Entropy Deep Reinforcement Learning

A Deep Reinforcement Learning Approach to the Portfolio Management Problem

A Study of Interpretability Mechanisms for Deep Networks

Augmented Translation Models for Sequential Recommendation

Quantum Inspired Algorithms for Learning and Control of Stochastic Systems

Learning to Measure: Distance Metric Learning with Structured Sparsity

In-material Processing of High Bandwidth Sensor Measurements using Modular Neural Networks

Modeling User Behavior on Smartphones

Integrating Hyperspectral Imaging and Artificial Intelligence to Develop Automated Frameworks for High-throughput Phenotyping in Wheat

Anytime Approximate Inference in Graphical Models

Attentional ShapeContextNet for Point Cloud Recognition

An Ontological Approach and a Meta-Algorithm for Data and Machine Learning Algorithms Analysis and Classification with Application in the Medical Domain

Towards Prediction of Emerging Technologies

Deep Learning and Localized Features Fusion for Medical Image Classification

Investigation of Deep Neural Network Image Processing for Cubesat Size Satellites

An Evaluation of Unsupervised Machine Learning Algorithms for Detecting Fraud and Abuse in the U.S. Medicare Insurance Program

Multi-Objective Pathfinding in Dynamic Environments

A Bounded Actor-Critic Algorithm for Reinforcement Learning

Finding the Components of the Primary Language Focusing on the Algorithm of Discovery

Discovering and Harnessing Structures in Solving Application Satisfiability Instances

Exploit Grammar Induction on Pattern and Structure Discovery

Combining Machine Learning with Computer Vision for Precision Agriculture Applications

A Fall Prevention System for the Elderly and Visually Impaired

Applying Machine Learning Methods to Electronic Health Records: Studies in Risk-Stratification of Chronic Kidney Disease and Hypertrophic Cardiomyopathy

An Investigation into the Use of Esperanto as an Intermediate Language in a Machine Translation Project

Affective Intelligence in Built Environments

Higher-order Random Walk Methods for Data Analysis

Fog Computing Based IoT Applications and Their Performance

Novelty Detection of Machinery Using a Non-parametric Machine Learning Approach

Monitoring and Information Alignment in Pursuit of an IoT-Enabled Self-Sustainable Interoperability

Modelling naturalistic decision making using neural networks

Inspecting and Directing Neural Language Models

An Integrated Framework for Modeling and Predicting Spatiotemporal Phenomena in Urban Environments

Deep Learning and Structured Data

Computer Vision and Deep Learning with Applications to Object Detection, Segmentation, and Document Analysis

Feature Learning as a Tool to Identify Existence of Multiple Biological Patterns

Latent Variable Models for Understanding User Behavior in Software Applications

Second Language Learning from a Multilingual Perspective

Generative Multi-Robot Task and Motion Planning Over Long Horizons

The Integration of Mobile and Cloud Technology with Big Data Platforms in the Oil and Gas Industry

Transfer Learning for Bayesian Case Detection Systems

Supervised Learning Algorithms on Factors Impacting Retweet

A Medley of Ising Models: Monte Carlo Solutions and Machine Learning Applications

Learning, Moving, and Predicting with Global Motion Representations

Polarization in Media: Perception and Reality

Power/Performance Modeling and Optimization: Using and Characterizing Machine Learning Applications

Non-linguistic Vocalization Recognition Based on Convolutional, Long Short-term Memory, Deep Neural Networks

Reducing Labeling Complexity in Streaming Data Mining

Speech Based Machine Learning Models for Emotional State Recognition and PTSD Detection

Data Mining, Inference, and Predictive Analytics for the Built Environment with Images, Text, and WiFi Data

Vision by Alignment

The Role of Approximate Negators in Modeling the Automatic Detection of Negation in Tweets

Exploiting Correlation Structures for Geoscience

Development of Machine Learning Methodologies to Improve Outcomes in Chronic Inflammatory Diseases