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Learning From Small Samples: A Machine Learning Model of Belief Polarization
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Towards Mental Workload Time Series Classification and Interpretation for Real-Time Feedback in Brain-Computer Interfacing Video Games
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The Learning and Communication Complexity of Subsequence Containment
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Defect Characterization and Classification for Metal Additive Manufacturing Process Optimization Using Machine Learning
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Effects of Digital Jury Moderation on the Polarization of Social Media Users
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Probablement, Likely, Wahrscheinlich? A Cross-Language Study of the Verbalization of Probabilities through Data Visualizations
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Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms
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Evaluating SGX’s Remote Attestation Security Through the Analysis of Copland Phrases
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Human-In-The-Loop Person Re-Id for Sensitive Datasets
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Improving Automated Assessment for Student Open-responses in Mathematics
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Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring
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Artistic Reflection Through Co-Creative Support Tool Curation
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ClinicalICDBERT: Predicting Re-Admission Risk from Clinical Notes, Vital Signs and ICD Codes using BERT Models
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Searching for Contextual Subtasks for Semantic Segmentation
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The Effects of Latency and Game Device on Moving Target Selection
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Display of Multi-Attribute Data Using a Presentation Description Language
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A Study of Replicated and Distributed Web Content
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Quantifying Resource Sharing, Resource Isolation and Agility for Web Applications with Virtual Machines
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Using Network Application Behavior to Predict Performance
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Network Performance Evaluation within the Web Browser Sandbox
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Study on the Leakage of Private User Information Via a Range of Popular Websites
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Predicting Network Performance for Internet Activities Using a Web Browser
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Validating the Veracity of User Data Collected and Disclosed by Ad Networks
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Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with Limited Labeled Data
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Learning Deep Social Interactions to Identify Positive Classroom Climate
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Text Representations of Math Tutorial Videos for Clustering, Retrieval, and Learning Gain Prediction
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Concurrent Deep Learning Workloads on NVIDIA GPUs
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Protecting Model Confidentiality for Machine Learning as a Service
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MIC-TOK: A Musical Live Coding Environment for Constrained Input
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Traumatic Brain Injury (TBI) detection and bioscore generation for ailment monitoring using smartphone sensor data
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Predicting TBI by using Smartphone-sensed mobility patterns, gait and balance
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Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection
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Appjudicator: Enhancing Android Network Analysis through UI Monitoring
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PEGASUS: Powerful, Expressive, Graphical Analyzer for the Single-Use Server
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Behavior Detectors to Support Feedback Generation using Problem-Solving Action Data
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Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP
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Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASSISTments
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Disrupting Attacker Value Propositions in Residential Networks
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Aloja: Breaking IoT Software Homogeneity with Protocol Mutations
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Examining Student Effort on Hint through Response Time Decomposition
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Detecting Evasive Multiprocess Ransomware
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Rethink Lighting Estimation for 3D Vision-enabled Mobile Augmented Reality
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HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion
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Training Noise-Robust Spoken Phrase Detectors with Scarce and Private Data: An Application to Classroom Observation Videos
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The Influence of Automated Narrative Feedback on Student-Designed Gamified Research
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SIFT: A Deep Network for Irregularly-Sampled Multivariate Time Series
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Application of Function Matching Techniques to Determine Libraries in Embedded Firmware
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Concurrent Programming in Education: Time for a Change
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Test First Model-Driven Development
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Improving Model Performance with Robust PCA
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Constructing an Authoring Tool for Intelligent Tutoring Systems with Hierarchical Domain Models
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Tutorial Dialog in an Equation Solving Intelligent Tutoring System
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Evaluating Predictions of Transfer and Analyzing Student Motivation
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Using Association Rules to Guide a Search for Best Fitting Transfer Models of Student Learning
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Applying Machine Learning Techniques to Rule Generation in Intelligent Tutoring Systems
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Collaborative Warrior Tutoring
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Developing an Affordable Authoring Tool For Intelligent Tutoring Systems
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Towards Teachers Quickly Creating Tutoring Systems
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Visual Feedback for Gaming Prevention in Intelligent Tutoring Systems
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The Common Tutor Object Platform
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The Assistment Builder: A tool for rapid tutor development
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Tools to help build models that predict student learning
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Developing a Cognitive Rule-Based Tutor for the ASSISTment System
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Measuring Student Engagement in an Intelligent Tutoring System
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Trying to Reduce Gaming Behavior by Students in Intelligent Tutoring Systems
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Increasing parent engagement in student learning using an Intelligent Tutoring System with Automated Messages
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Learning the Effectiveness of Content and Methodology in an Intelligent Tutoring System
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Responding to Moments of Learning
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Reaching More Students: A Web-based Intelligent Tutoring System with support for Offline Access
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A Graph Theoretic Clustering Algorithm based on the Regularity Lemma and Strategies to Exploit Clustering for Prediction
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Leveraging Influential Factors into Bayesian Knowledge Tracing
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An Empirical Evaluation of Student Learning by the Use of a Computer Adaptive System
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Can a computer adaptive assessment system determine, better than traditional methods, whether students know mathematics skills?
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Improving Educational Content: A Web-based Intelligent Tutoring System with Support for Teacher Collaboration
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Boredom and student modeling in intelligent tutoring systems
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Refining Learning Maps with Data Fitting Techniques
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Enhancing Personalization Within ASSISTments
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Student Modeling From Different Aspects
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A Prediction Model Uses the Sequence of Attempts and Hints to Better Predict Knowledge: Better to Attempt the Problem First, Rather Than Ask for A Hint
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Improvements on Trained Across Multiple Experiments (TAME), a New Method for Treatment Effect Detection
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Reusable Annotations for Matching of Event Sequences to Construct Firewall Policies
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Relating Cognitive Models of Computer Games to User Evaluations of Entertainment
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Selective Flooding for Better QoS Routing
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WAIT: Selective Loss Recovery for Multimedia Multicast.
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Adaptive Content-Aware Scaling for Improved Video Streaming
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Adaptive Multimedia Content Delivery for Scalable Web Servers
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Better Admission Control and Disk Scheduling for Multimedia Applications
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TCP-Carson: A loss-event based Adaptive AIMD algorithm for Long-lived Flows
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Traffic Sensitive Active Queue Management for Improved Quality of Service
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Traffic Sensitive Quality of Service Controller
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Measurement of Windows Streaming Media
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Evaluating User Feedback Systems
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Media Scaling for Power Optimization on Wireless Video Sensors
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CStream: Neighborhood Bandwidth Aggregation For Better Video Streaming
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Fresh Analysis of Streaming Media Stored on the Web
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Predicting Performance for Reading News Online from within a Web Browser Sandbox
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Measurement and Method for Receiver Buffer Sizing in Video Streaming
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Impact of Acknowledgments on Application Performance in 4G LTE Networks
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Performance Evaluation of QUIC protocol under Network Congestion
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WHITE - Achieving Fair Bandwidth Allocation with Priority Dropping Based On Round Trip Times
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