Learning From Small Samples: A Machine Learning Model of Belief Polarization

Frequent Pattern Mining Analytics

Towards Mental Workload Time Series Classification and Interpretation for Real-Time Feedback in Brain-Computer Interfacing Video Games

Big Time Series Analytics Using a Distributed Infrastructure

The Learning and Communication Complexity of Subsequence Containment

Visual Analytics for Smartphone Health Phenotyping

Defect Characterization and Classification for Metal Additive Manufacturing Process Optimization Using Machine Learning

Effects of Digital Jury Moderation on the Polarization of Social Media Users

MiseEnPlace : Fine- and Coarse-grained Approaches for Mobile-Oriented Deep Learning Inference

Probablement, Likely, Wahrscheinlich? A Cross-Language Study of the Verbalization of Probabilities through Data Visualizations

Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms

Compositional Embeddings and Their Applications in Speaker Diarization

Evaluating SGX’s Remote Attestation Security Through the Analysis of Copland Phrases

Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to Modeling Protein Structure

Human-In-The-Loop Person Re-Id for Sensitive Datasets

Improving Automated Assessment for Student Open-responses in Mathematics

Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring

Artistic Reflection Through Co-Creative Support Tool Curation

ClinicalICDBERT: Predicting Re-Admission Risk from Clinical Notes, Vital Signs and ICD Codes using BERT Models

Searching for Contextual Subtasks for Semantic Segmentation

Redesigning Deep Neural Networks for Resource-Efficient Inference

Residential Network Security: Using Software-defined Networking to Inspect and Label Traffic

The Effects of Latency and Game Device on Moving Target Selection

Display of Multi-Attribute Data Using a Presentation Description Language

A Study of Replicated and Distributed Web Content

Deterministic Object Management in Large Distributed Systems

Quantifying Resource Sharing, Resource Isolation and Agility for Web Applications with Virtual Machines

Using Network Application Behavior to Predict Performance

Network Performance Evaluation within the Web Browser Sandbox

Study on the Leakage of Private User Information Via a Range of Popular Websites

Predicting Network Performance for Internet Activities Using a Web Browser

Validating the Veracity of User Data Collected and Disclosed by Ad Networks

Exploiting Flow Relationships to Improve the Performance of Distributed Applications

How's My Network - Incentives and Impediments of Home Network Measurements

Understanding Internal Feature Development in Deep Convolutional Neural Networks for Time Series

Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with Limited Labeled Data

Learning Deep Social Interactions to Identify Positive Classroom Climate

Text Representations of Math Tutorial Videos for Clustering, Retrieval, and Learning Gain Prediction

Concurrent Deep Learning Workloads on NVIDIA GPUs

Protecting Model Confidentiality for Machine Learning as a Service

MIC-TOK: A Musical Live Coding Environment for Constrained Input

Traumatic Brain Injury (TBI) detection and bioscore generation for ailment monitoring using smartphone sensor data

Predicting TBI by using Smartphone-sensed mobility patterns, gait and balance

Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection

Appjudicator: Enhancing Android Network Analysis through UI Monitoring

PEGASUS: Powerful, Expressive, Graphical Analyzer for the Single-Use Server

Behavior Detectors to Support Feedback Generation using Problem-Solving Action Data

Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP

Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASSISTments