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Towards Mental Workload Time Series Classification and Interpretation for Real-Time Fe...
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 In...
Toward Improving Effectiveness of Crowdsourced, On-Demand Assistance From Authors in O...
Probablement, Likely, Wahrscheinlich? A Cross-Language Study of the Verbalization of P...
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 Op...
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 Sco...
Improving Automated Assessment for Student Open-responses in Mathematics
Modern Computer Science Approaches in Biology: From Predicting Molecular Functions to ...
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...
Artistic Reflection Through Co-Creative Support Tool Curation
Residential Network Security: Using Software-defined Networking to Inspect and Label T...
Redesigning Deep Neural Networks for Resource-Efficient Inference
Understanding Internal Feature Development in Deep Convolutional Neural Networks for T...
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-directi...
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 ...
Text Representations of Math Tutorial Videos for Clustering, Retrieval, and Learning G...
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 ASS...
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 Dete...
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 ...
The Effects of Latency and Game Device on Moving Target Selection
Application of Function Matching Techniques to Determine Libraries in Embedded Firmware