Using Autoencoder Feature Residuals to Improve Network Intrusion Detection

Abstractions for Third-Party Extensibility of Educational Programming Environments

Epsilon Optimal Path Planning for Active Vision for Grasping

Using Visualization to Counteract Discounting

Homotopy Type Theory for Sewn Quilts

Beyond Typosquatting: An In-depth Look at Package Confusability

Calendar Visualizations of Money Earlier or Later Questions

Help or Hinder? Evaluating Fairness Metrics and Algorithms in Visualization Systems for Consensus Ranking

Leveraging Android OS to Secure Diverse Devices in Residential Networks

Mitigating Temporal Memory Safety Errors in the Linux Kernel

Memory Efficient Shadow Stacks for Real-Time Embedded Systems

Programming Abstractions for GPU-Accelerated Agent-Based Simulations

Neural Networks Models for Multi-Attribute Assessment of Fine Grained Wound Images

Towards Mental Workload Time Series Classification and Interpretation for Real-Time Feedback in Brain-Computer Interfacing Video Games

Frequent Pattern Mining Analytics

Learning From Small Samples: A Machine Learning Model of Belief Polarization

The Impact of Latency on Players in First-person Shooter Games

MiseEnPlace : Fine- and Coarse-grained Approaches for Mobile-Oriented Deep Learning Inference

Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in Online Learning Platforms

Probablement, Likely, Wahrscheinlich? A Cross-Language Study of the Verbalization of Probabilities through Data Visualizations

Big Time Series Analytics Using a Distributed Infrastructure

Compositional Embeddings and Their Applications in Speaker Diarization

Effects of Digital Jury Moderation on the Polarization of Social Media Users

Defect Characterization and Classification for Metal Additive Manufacturing Process Optimization Using Machine Learning

Visual Analytics for Smartphone Health Phenotyping

The Learning and Communication Complexity of Subsequence Containment

Leveraging Auxiliary Data from Similar Problems to Improve Automatic Open Response Scoring

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