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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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Learning From Small Samples: A Machine Learning Model of Belief Polarization
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Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms
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Probablement, Likely, Wahrscheinlich? A Cross-Language Study of the Verbalization of Probabilities through Data Visualizations
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Effects of Digital Jury Moderation on the Polarization of Social Media Users
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Defect Characterization and Classification for Metal Additive Manufacturing Process Optimization Using Machine Learning
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The Learning and Communication Complexity of Subsequence Containment
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Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring
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Improving Automated Assessment for Student Open-responses in Mathematics
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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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Searching for Contextual Subtasks for Semantic Segmentation
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ClinicalICDBERT: Predicting Re-Admission Risk from Clinical Notes, Vital Signs and ICD Codes using BERT Models
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Artistic Reflection Through Co-Creative Support Tool Curation
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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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Rethink Lighting Estimation for 3D Vision-enabled Mobile Augmented Reality
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Detecting Evasive Multiprocess Ransomware
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Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with Limited Labeled Data
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Text Representations of Math Tutorial Videos for Clustering, Retrieval, and Learning Gain Prediction
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Examining Student Effort on Hint through Response Time Decomposition
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Protecting Model Confidentiality for Machine Learning as a Service
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Aloja: Breaking IoT Software Homogeneity with Protocol Mutations
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Disrupting Attacker Value Propositions in Residential Networks
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Concurrent Deep Learning Workloads on NVIDIA GPUs
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Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASSISTments
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Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP
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Learning Deep Social Interactions to Identify Positive Classroom Climate
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Behavior Detectors to Support Feedback Generation using Problem-Solving Action Data
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PEGASUS: Powerful, Expressive, Graphical Analyzer for the Single-Use Server
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Appjudicator: Enhancing Android Network Analysis through UI Monitoring
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Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection
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Predicting TBI by using Smartphone-sensed mobility patterns, gait and balance
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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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The Effects of Latency and Game Device on Moving Target Selection
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Application of Function Matching Techniques to Determine Libraries in Embedded Firmware
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SIFT: A Deep Network for Irregularly-Sampled Multivariate Time Series
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The Influence of Automated Narrative Feedback on Student-Designed Gamified Research
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Developing Automated Audio Assessment Tools for a Chinese Language Course
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Single-Use Servers: A Generalized Design for Eliminating the Confused Deputy Problem in Networked Services
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Live Performance and Emotional Analysis of MathSpring Intelligent Tutor System Students
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Unsupervised Semantic Segmentation through Cross-Instance Representation Similarity
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Towards Better Kernel and Network Monitoring of Software Actions
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Improving Model Performance with Robust PCA
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The effect of prompted self-revision on student performance in the context of open-ended problems using Randomized Control Trials
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Alloy-Guided Verification of Cooperative Autonomous Driving Behavior
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Detecting Various Types of Malicious Users at One Sitting in Online Social Networks
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Deep Learning Approach to Trespass Detection using Video Surveillance Data
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Pointwise and Instance Segmentation for 3D Point Cloud
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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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Using Smart Scheduling to Reduce the Negative Impacts of Instrumentation-based Defenses on Embedded Systems
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Boosting Gene Expression Clustering with System-Wide Biological Information and Deep Learning
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Improving Math Learning With Embodied Game- Based Mobile and Wearable Technologies
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Robot-Enhanced ABA Therapy: Exploring Emerging Artificial Intelligence Embedded Systems in Socially Assistive Robots for the Treatment of Autism
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Secure Key Agreement for Wearable Medical Devices
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Augmenting Network Flows with User Interface Context to Inform Access Control Decisions
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Reusable Annotations for Matching of Event Sequences to Construct Firewall Policies
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Anomaly Handling in Visual Analytics
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WHITE - Achieving Fair Bandwidth Allocation with Priority Dropping Based On Round Trip Times
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Exploring Host-based Software Defined Networking and its Applications
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Evaluating Clustering Techniques over Big Data in Distributed Infrastructures
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Why did they cite that?
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vU-net: edge detection in time-lapse fluorescence live cell images based on convolutional neural networks
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Automatic Eye-Gaze Following from 2-D Static Images: Application to Classroom Observation Video Analysis
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Improving User Interface and User Experience of MathSpring Intelligent Tutoring System for Teachers
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Feasibility Study on Smart Cloud Commuting with Shared Autonomous Vehicles
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Scalable User Assignment in Power Grids: A Data Driven Approach
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Using Ballistocardiography to Perform Key Distribution in Wearable IoT Networks
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Improvements on Trained Across Multiple Experiments (TAME), a New Method for Treatment Effect Detection
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Side-Channel Attacks on Intel SGX: How SGX Amplifies The Power of Cache Attack
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Control-flow Integrity for Real-time Embedded Systems
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Performance Evaluation of QUIC protocol under Network Congestion
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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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Implicit Cache Lockdown on ARM: An Accidental Countermeasure to Cache-Timing Attacks
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Pivot-based Data Partitioning for Distributed k Nearest Neighbor Mining
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Framework For Robot-Assisted Doffing of Personal Protective Equipment
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User Evaluation Framework for Model Finding Research
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Toward Enabling Safe & Efficient Human-Robot Manipulation in Shared Workspaces
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Socialoscope: Sensing User Loneliness and Its Interactions with Personality Traits
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Investigating Gyroscope Sway Features, Normalization, and Personalization in Detecting Intoxication in Smartphone Users
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BiRRTOpt: A COMBINED SOFTWARE FRAMEWORK FOR MOTION PLANNING APPLIED ON ATLAS ROBOT
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Student Modeling From Different Aspects
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High Performance Analytics in Complex Event Processing
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Many-Light Real-Time Global Illumination using Sparse Voxel Octree
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Learning From Demonstrations in Changing Environments: Learning Cost Functions and Constraints for Motion Planning
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Collaborative Learning of Hierarchical Task Networks from Demonstration and Instruction
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Systematic Vulnerability Evaluation of Interoperable Medical Device System using Attack Trees
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Validating the Veracity of User Data Collected and Disclosed by Ad Networks
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Semidefinite programming, binary codes and a graph coloring problem
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Impact of Acknowledgments on Application Performance in 4G LTE Networks
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Generating Members of a Software Product Line Using Combinatory Logic
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A Unified Multi-touch Gesture based Approach for Efficient Short-, Medium-, and Long-Distance Travel in VR
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Towards Understanding Systems Through User Interactions
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Enhancing Personalization Within ASSISTments
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Tracing Knowledge and Engagement in Parallel by Observing Behavior in Intelligent Tutoring Systems
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Refining Learning Maps with Data Fitting Techniques
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A Context-Aware Smartphone Application to Mitigate Sedentary Lifestyle
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A Feature-Oriented Software Engineering Approach to Integrate ASSISTments with Learning Management Systems
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Leveraging Software-Defined Networking and Virtualization for a One-to-One Client-Server Model
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On the Sociability of a Game-Playing Agent: A Software Framework and Empirical Study
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