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Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Sco...
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Improving Automated Assessment for Student Open-responses in Mathematics
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Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to ...
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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...
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Artistic Reflection Through Co-Creative Support Tool Curation
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Residential Network Security: Using Software-defined Networking to Inspect and Label T...
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Redesigning Deep Neural Networks for Resource-Efficient Inference
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Understanding Internal Feature Development in Deep Convolutional Neural Networks for T...
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Automatic Emotion Detection in Text Messages using Supervised Learning
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Towards Instantaneous Mental Health Screening From Voice Using Machine and Deep Learning
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HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directi...
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Making Sense of Human-generated Spatial-temporal Data from Urban Environment
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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 ...
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Text Representations of Math Tutorial Videos for Clustering, Retrieval, and Learning G...
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Examining Student Effort on Hint through Response Time Decomposition
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Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform
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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 ASS...
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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 Dete...
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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 ...
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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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Decoding Cognitive States from fNIRS Neuroimaging Data Using Machine Learning
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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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Attention-based Deep Learning Models for Text Classification and their Interpretability
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Ranking for Decision Making: Fairness and Usability
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Contextual Outlier Detection from Heterogeneous Data Sources
Work
Development of a Data-Grounded Theory of Program Design in HTDP
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Single-Use Servers: A Generalized Design for Eliminating the Confused Deputy Problem i...
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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