Improving Automated Assessment for Student Open-responses in Mathematics

Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to Modeling Protein Structure

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

Human-In-The-Loop Person Re-Id for Sensitive Datasets

Searching for Contextual Subtasks for Semantic Segmentation

ClinicalICDBERT: Predicting Re-Admission Risk from Clinical Notes, Vital Signs and ICD Codes using BERT Models

Artistic Reflection Through Co-Creative Support Tool Curation

Residential Network Security: Using Software-defined Networking to Inspect and Label Traffic

Redesigning Deep Neural Networks for Resource-Efficient Inference

Understanding Internal Feature Development in Deep Convolutional Neural Networks for Time Series

Automatic Emotion Detection in Text Messages using Supervised Learning

Towards Instantaneous Mental Health Screening From Voice Using Machine and Deep Learning

HDR-Like Image Generation to Mitigate Adverse Wound Illumination Using Deep Bi-directional Retinex and Exposure Fusion

Making Sense of Human-generated Spatial-temporal Data from Urban Environment

Rethink Lighting Estimation for 3D Vision-enabled Mobile Augmented Reality

Detecting Evasive Multiprocess Ransomware

Speech-based Traumatic Brain Injury (TBI) Assessment using Deep Learning Methods with Limited Labeled Data

Text Representations of Math Tutorial Videos for Clustering, Retrieval, and Learning Gain Prediction

Examining Student Effort on Hint through Response Time Decomposition

Improvement on Hint and Explanation Crowdsourcing Method for an Online Learning Platform

Protecting Model Confidentiality for Machine Learning as a Service

Aloja: Breaking IoT Software Homogeneity with Protocol Mutations

Disrupting Attacker Value Propositions in Residential Networks

Concurrent Deep Learning Workloads on NVIDIA GPUs

Applying Reinforcement Learning Based Tutor Strategy Recommendation Service To The ASSISTments

Improving Feedback Recommendation in Intelligent Tutoring Systems using NLP

Learning Deep Social Interactions to Identify Positive Classroom Climate

Behavior Detectors to Support Feedback Generation using Problem-Solving Action Data

PEGASUS: Powerful, Expressive, Graphical Analyzer for the Single-Use Server

Appjudicator: Enhancing Android Network Analysis through UI Monitoring

Smartphone TBI Sensing using Deep Embedded Clustering and Extreme Boosted Outlier Detection

Predicting TBI by using Smartphone-sensed mobility patterns, gait and balance

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

The Effects of Latency and Game Device on Moving Target Selection

Application of Function Matching Techniques to Determine Libraries in Embedded Firmware

Decoding Cognitive States from fNIRS Neuroimaging Data Using Machine Learning

SIFT: A Deep Network for Irregularly-Sampled Multivariate Time Series

The Influence of Automated Narrative Feedback on Student-Designed Gamified Research

Developing Automated Audio Assessment Tools for a Chinese Language Course

Attention-based Deep Learning Models for Text Classification and their Interpretability

Ranking for Decision Making: Fairness and Usability

Contextual Outlier Detection from Heterogeneous Data Sources

Development of a Data-Grounded Theory of Program Design in HTDP

Single-Use Servers: A Generalized Design for Eliminating the Confused Deputy Problem in Networked Services

Live Performance and Emotional Analysis of MathSpring Intelligent Tutor System Students

Unsupervised Semantic Segmentation through Cross-Instance Representation Similarity

Towards Better Kernel and Network Monitoring of Software Actions

Improving Model Performance with Robust PCA

The effect of prompted self-revision on student performance in the context of open-ended problems using Randomized Control Trials

Alloy-Guided Verification of Cooperative Autonomous Driving Behavior

Detecting Various Types of Malicious Users at One Sitting in Online Social Networks

Time Series Data Analytics

Deep Learning Approach to Trespass Detection using Video Surveillance Data

Pointwise and Instance Segmentation for 3D Point Cloud

Training Noise-Robust Spoken Phrase Detectors with Scarce and Private Data: An Application to Classroom Observation Videos

Using Smart Scheduling to Reduce the Negative Impacts of Instrumentation-based Defenses on Embedded Systems

Boosting Gene Expression Clustering with System-Wide Biological Information and Deep Learning

Improving Math Learning With Embodied Game- Based Mobile and Wearable Technologies

Quantifying, Modeling and Managing How People Interact with Visualizations on the Web

Sequential Data Mining and its Applications to Pharmacovigilance

Robot-Enhanced ABA Therapy: Exploring Emerging Artificial Intelligence Embedded Systems in Socially Assistive Robots for the Treatment of Autism

Deep Learning on Graph-structured Data

Secure Key Agreement for Wearable Medical Devices

Augmenting Network Flows with User Interface Context to Inform Access Control Decisions

Reusable Annotations for Matching of Event Sequences to Construct Firewall Policies

How's My Network - Incentives and Impediments of Home Network Measurements

Anomaly Handling in Visual Analytics

Exploiting Flow Relationships to Improve the Performance of Distributed Applications

WHITE - Achieving Fair Bandwidth Allocation with Priority Dropping Based On Round Trip Times

Deep Learning on Attributed Sequences

Event stream analytics

Pattern Mining and Sense-Making Support for Enhancing the User Experience

Recurring Query Processing on Big Data

Detecting Data Manipulation Attacks on Physiological Sensor Measurements in Wearable Medical Systems

Exploring Host-based Software Defined Networking and its Applications

Evaluating Clustering Techniques over Big Data in Distributed Infrastructures

Why did they cite that?

Refining Prerequisite Skill Structure Graphs Using Randomized Controlled Trials

Towards Personalized Learning using Counterfactual Inference for Randomized Controlled Trials

Ballistocardiography-based Authentication using Convolutional Neural Networks

vU-net: edge detection in time-lapse fluorescence live cell images based on convolutional neural networks

Automatic Eye-Gaze Following from 2-D Static Images: Application to Classroom Observation Video Analysis

Improving User Interface and User Experience of MathSpring Intelligent Tutoring System for Teachers

Outlier Detection In Big Data

Feasibility Study on Smart Cloud Commuting with Shared Autonomous Vehicles

Scalable User Assignment in Power Grids: A Data Driven Approach

Using Ballistocardiography to Perform Key Distribution in Wearable IoT Networks

Improvements on Trained Across Multiple Experiments (TAME), a New Method for Treatment Effect Detection

Side-Channel Attacks on Intel SGX: How SGX Amplifies The Power of Cache Attack

Control-flow Integrity for Real-time Embedded Systems

Theory and Practice: Improving Retention Performance through Student Modeling and System Building

Software-defined Networking: Improving Security for Enterprise and Home Networks

Performance Evaluation of QUIC protocol under Network Congestion

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

Implicit Cache Lockdown on ARM: An Accidental Countermeasure to Cache-Timing Attacks

Affective Motivational Collaboration Theory

Pivot-based Data Partitioning for Distributed k Nearest Neighbor Mining

Tutoring Students with Adaptive Strategies