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Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to Modeling Protein Structure
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Redesigning Deep Neural Networks for Resource-Efficient Inference
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Residential Network Security: Using Software-defined Networking to Inspect and Label Traffic
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Deterministic Object Management in Large Distributed Systems
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Exploiting Flow Relationships to Improve the Performance of Distributed Applications
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How's My Network - Incentives and Impediments of Home Network Measurements
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Understanding Internal Feature Development in Deep Convolutional Neural Networks for Time Series
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Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform
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Making Sense of Human-generated Spatial-temporal Data from Urban Environment
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Towards Instantaneous Mental Health Screening From Voice Using Machine and Deep Learning
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Automatic Emotion Detection in Text Messages using Supervised Learning
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Decoding Cognitive States from fNIRS Neuroimaging Data Using Machine Learning
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Creating Systems and Applying Large-Scale Methods to Improve Student Remediation in Online Tutoring Systems in Real-time and at Scale
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Towards Assessing Students' Fine Grained Knowledge: Using an Intelligent Tutor for Assessment
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Investigating Learning in an Intelligent Tutoring System through Randomized Controlled Experiments
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Predictive Models of Student Learning
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Layout Optimization for Distributed Relational Databases Using Machine Learning
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Student Modeling within a Computer Tutor for Mathematics: Using Bayesian Networks and Tabling Methods
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Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials
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Refining Prerequisite Skill Structure Graphs Using Randomized Controlled Trials
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Congestion Control for Streaming Media
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Using Bandwidth Estimation to Optimize Buffer and Rate Selection for Streaming Multimedia over IEEE 802.11 Wireless Networks
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ARMOR - Adjusting Repair and Media Scaling with Operations Research for Streaming Video
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Modeling and Evaluating Feedback-Based Error Control for Video Transfer
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A Credit-based Home Access Point (CHAP) to Improve Application Quality on IEEE 802.11 Networks
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Treatment-Based Classication in Residential Wireless Access Points
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Ranking for Decision Making: Fairness and Usability
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Deep Learning on Graph-structured Data
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Sequential Data Mining and its Applications to Pharmacovigilance
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Quantifying, Modeling and Managing How People Interact with Visualizations on the Web
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Time Series Data Analytics
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Ubiquitous Scalable Graphics: An End-to-End Framework using Wavelets
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Programmable Image-Based Light Capture for Previsualization
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Practical and Theoretical Applications of the Regularity Lemma
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Detecting Data Manipulation Attacks on Physiological Sensor Measurements in Wearable Medical Systems
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Building Web Based Programming Environments for Functional Programming
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First-Order Models for Configuration Analysis
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Attention-based Deep Learning Models for Text Classification and their Interpretability
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Contextual Outlier Detection from Heterogeneous Data Sources
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Development of a Data-Grounded Theory of Program Design in HTDP
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Deep Learning on Attributed Sequences
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Event stream analytics
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Pattern Mining and Sense-Making Support for Enhancing the User Experience
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Recurring Query Processing on Big Data
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Outlier Detection In Big Data
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Theory and Practice: Improving Retention Performance through Student Modeling and System Building
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Software-defined Networking: Improving Security for Enterprise and Home Networks
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Affective Motivational Collaboration Theory
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Tutoring Students with Adaptive Strategies
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Targeted Prioritized Processing in Overloaded Data Stream Systems
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Contributions to Collective Dynamical Clustering-Modeling of Discrete Time Series
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Spatial and Temporal Learning in Robotic Pick-and-Place Domains via Demonstrations and Observations
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A Model-driven Visual Analytic Framework for Local Pattern Analysis
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Similarity Reasoning over Semantic Context-Graphs
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Hybrid and Coordinated 3D Interaction in Immersive Virtual Environments
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A Framework for Exploring Finite Models
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Student Modeling in Intelligent Tutoring Systems
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Evaluation of Multi-sensory Feedback in Virtual and Real Remote Environments in a USAR Robot Teleoperation Scenario
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Supporting Multi-Criteria Decision Support Queries over Disparate Data Sources
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Extending Complex Event Processing for Advanced Applications
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Visually Mining Interesting Patterns in Multivariate Datasets
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Extending Event Sequence Processing:New Models and Optimization Techniques
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Continuously Providing Approximate Results under Limited Resources: Load Shedding and Spilling in XML Streams
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Mining and Managing Neighbor-Based Patterns in Data Streams
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Exploratory Visualization of Data Pattern Changes in Multivariate Data Streams
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Fexprs as the basis of Lisp function application; or, $vau: the ultimate abstraction
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Robust Complex Event Pattern Detection over Streams
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Body Deformation Correction for SPECT Imaging
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Metadata-Aware Query Processing over Data Streams
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Improving the Productivity of Volunteer Computing
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State-Slice: A New Stream Query Optimization Paradigm for Multi-query and Distributed Processing
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Incremental Maintenance Of Materialized XQuery Views
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Updating XML Views
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Dynamic Optimization and Migration of Continuous Queries Over Data Streams
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Graphical Data Mining for Computational Estimation in Materials Science Applications
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Automaton Meet Algebra: A Hybrid Paradigm for Efficiently Processing XQuery over XML Stream
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Efficient Incremental View Maintenance for Data Warehousing
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Scalable Integration View Computation and Maintenance with Parallel, Adaptive and Grouping Techniques
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A General Framework for Multi-Resolution Visualization
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Software Engineering Using design RATionale
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Semantic Caching for XML Queries
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Evolving Legacy System's Features into Fine-grained Components Using Regression Test-Cases
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Managing Schema Change in an Heterogeneous Environment
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Integration of Heterogeneous Databases: Discovery of Meta-Information and Maintenance of Schema-Restructuring Views
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VIL: A Visual Inter Lingua
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Design Simplification by Analogical Reasoning
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