Deep Learning for Semi-Automated Brain Claustrum Segmentation on Magnetic Resonance (MR) Images

The Impact of Machine Learning Algorithms on Benchmarking Process in Healthcare Service Delivery

Globalization and Advances in Computer Sciences: Using Interconnected Innovative Technologies for the Healthcare Industry

Nonrigid Registration Techniques and Evaluation for Augmented Reality in Robotic Assisted Minimally Invasive Surgery

Analyzing the Security Gap in Bootstrapping Obfuscation

High Performance Algorithms for Pan Sharpening Of Images

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

A Learning-Based Dynamic Caching in the Cloud

Learning Based Quantitative Evaluation of Community Living Index with Google Street-View Images

Continuous Behavior Acquisition in Clinical Environments

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

SAF-Dl: Semantic Analysis Framework for Deep Learning Open Source Projects

Fault Tolerance through Invariant Checks in Applications Using Linear Algebraic Methods

Fog Computing Based IoT Applications and Their Performance

Multi-layered HITS on Multi-sourced Networks

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

Towards Neural Network Embeddings of Optimal Motion Planners

Teaching Landscape Construction Using Augmented Reality

Analysis of User Response to Complexity in Password Composition Policies in U.S. Healthcare Organizations

Creating Fluid Game Assets by Synchronizing Video Textures to Geometry Sequences

CR-GAN: Content-Based Recommender System with Conditional Generative Adversarial Networks

Automatically Measuring Software Architecture and Identifying Architecture Problems

Performance Analysis and Privacy Protection of Network Data

Implementation of Self-organizing Maps with Python

Collective Program Analysis

Algorithms for Mining Maximal Quasi Frequent Subnetworks

TeleSense: A Teleoperation System by Using Embedded Proximity Sensors and Leap Motion

Exploiting Implicit Belief to Resolve Sparse Usage Problem in Usage-Based Specification Mining

Specificationless Intrusion Detection Using Thermodynamic Formalism of Free Energy

An Approach for Testing the Extract-Transform-Load Process in Data Warehouse Systems

Using Machine Learning to Detect Malicious Websites

Cloud Transactions and Caching for Improved Performance in Clouds and DTNs

Model-based Testing of Off-nominal Behaviors

Selective Search Architectures and Brute Force Scan Techniques for Summarizing Social Media Posts

Machine Learning-inspired High-performance and Energy-efficient Heterogeneous Manycore Chip Design

Ontology-guided Pre-release Inference Disruption

Hacking the Dark Web

Monitoring and Characterizing Application Service Availability

Energy Efficiency of Java Programming Language

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

Communicating Data Quality in On-demand Curation

A 360 VR and Wi-Fi Tracking Based Autonomous Telepresence Robot for Virtual Tour

Linearizing Convolutional Neural Networks Improves P300 Detection

Data-based Motion Planning for Full-body Virtual Human Interaction with the Environment

Reducing Labeling Complexity in Streaming Data Mining

A Polymorphic Computing Architecture Based on a Dataflow Processor Core

Parallelizing Tabu Search Based Optimization Algorithm on GPUs

Online MindReader Game Utilizing Weighted Hedging Trees

Visualization of Large Diverse Collections of Scholarly Output

Architecture, Models, and Algorithms for Textual Similarity

Bytecode-based Multiple Condition Coverage: An Initial Investigation

Determining Optimal Arithmetic Circuits for Solving Linear Optimization Problems with SAT Solvers

An Approach for Formal Analysis of the Security of a Water Treatment Testbed

Improving the Security of Building Automation Systems Through an seL4-based Communication Framework

Assessing and Supporting the Use of Fuzzy Cognitive Maps to Simulate Complex Phenomena

Study of Electricity Generation in North Carolina Using Linear Regression and Regression Trees

Deep Learning Based Human Age Estimation

Positioning by Road Feature Correspondence

Improving Speech-Related Facial Action Unit Recognition by Audiovisual Information Fusion

Active Cloud Authentication Based on Touch Dynamics with Distributed TensorFlow

Explainable Recommendation for Event Sequences: A Visual Analytics Approach

Performance Evaluation of Machine Learning Algorithms in Apache Spark for Intrusion Detection

Multi-type Fair Resource Allocation for Distributed Multi-robot Systems

A Neural Network Model for Classifying Bubble-Based Instructor Evaluations, and an Accompanying Web Portal

An Empirical Evaluation of Machine Learning Classification Algorithms on User Movement Data

Assessing and Developing Two Educational Tools on ARP Spoofing Attacks

Bipartite Network Community Detection: Algorithms and Applications

Assessment of Societal Impact of Research

Novel Deep Learning Methods for Brain Image Analysis

An Analysis of Railway Industrial Control Systems Vulnerabilities

RNA Secondary Structure Annotation Using RAB Representation

Semi-Supervised Machine Learning for Network Intrusion Detection

A Decision Support System for Sprint Planning in Scrum Practice

Computational Models for Characterization of Idea Evolution in Collaborative Learning and Research Communities

Techniques for Enhancing the Security of Future Smart Grids

Organizing High-Dimensional Data through Semantic Discovery

Statistics Meets Optimization: Computational Guarantees for Statistical Learning Algorithms

FeelX: A Next Generation Haptic Device for Semantic Web Browsing

Advances in Safety Assurances for Cyber-Physical Systems

Link Discovery through Iterative Link Classification: Towards a Real-Time Analysis of Graph Evolution

Deep Learning Methods for Mining Genomic Sequence Patterns

Programming Abstractions and Synthesis-Aided Compilation for Emerging Computing Platforms

Learning and Optimization for Mixed Autonomy Systems: A Mobility Context

Interactions of Microbes in Communities

Accountable Data Fusion and Privacy Preservation Techniques in Cyber-Physical Systems

Tracking the Mechanism of Water Oxidation in Photosystem II Using X-ray Free Electron Laser Diffraction

Load Balancing for Packet Switches and Datanceter Networks

Adaptive Parallelism for Coupled, Multithreaded Message-Passing Programs

Statistical Learning Towards Gamification in Human-centric Cyber-physical Systems

Augmenting a Hazard Analysis Method With Error Propagation Information for Safety-Critical Systems

The Implications of the Internet's Topological Structure for Its Efficiency, Security, and Reliability

Multi-Resolution Analysis of Large Molecular Structures and Interactions

An Initial Study of Two Approaches to Eliminating Out-of-Thin-Air Results

Criticality Assessments for Improving Algorithmic Robustness

Learning Robust Features and Metrics for Image Classification and Matching

Network Resilience under Dynamic Changes

Graph Drawing Metrics and Representations with Applications

Resilient Communications Middleware for IoT Data Exchange

Machine Learning for the Developing World using Mobile Communication Metadata

Control System Design Automation Using Reinforcement Learning

The Benefits of Participatory Vehicular Sensing

Graph Characteristics and Branch-and-Reduce Algorithms for Minimum Vertex Cover

Robust Geographic Routing Protocol for Inter Drone Communication

Performance-Driven Hierarchical Design and Management of Networks-on-Chip in Many-Core System

Graphlet Analysis Of Networks

Fast and Space-Efficient Maps for Large Data Sets

Access Classification for Race Detection Optimization

A Fine-Grain Parallel Execution Model for Homogeneous/Heterogeneous Many-Core Systems

A Deep Learning, Model-Predictive Approach to Neighborhood Congestion Prediction and Control

Visual Analytics of Heterogeneous High-Dimensional Datasets to Support Machine Learning Tasks

Learning to Navigate in Visual Environments

Acquiring Diverse Robot Skills via Maximum Entropy Deep Reinforcement Learning

Knowledge Discovery for Health Informatics from Structured and Textual Data

Domain-Specific Techniques for High-Performance Computational Image Reconstruction