Abstractions for Third-Party Extensibility of Educational Programming Environments

Epsilon Optimal Path Planning for Active Vision for Grasping

Using Visualization to Counteract Discounting

Beyond Typosquatting: An In-depth Look at Package Confusability

Homotopy Type Theory for Sewn Quilts

Help or Hinder? Evaluating Fairness Metrics and Algorithms in Visualization Systems for Consensus Ranking

Leveraging Android OS to Secure Diverse Devices in Residential Networks

Mitigating Temporal Memory Safety Errors in the Linux Kernel

Memory Efficient Shadow Stacks for Real-Time Embedded Systems

Programming Abstractions for GPU-Accelerated Agent-Based Simulations

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

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

The Learning and Communication Complexity of Subsequence Containment

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

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

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

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

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

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

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

Disrupting Attacker Value Propositions in Residential Networks

Aloja: Breaking IoT Software Homogeneity with Protocol Mutations