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

Frequent Pattern Mining Analytics

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

Big Time Series Analytics Using a Distributed Infrastructure

The Learning and Communication Complexity of Subsequence Containment

Visual Analytics for Smartphone Health Phenotyping

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

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

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

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

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

Compositional Embeddings and Their Applications in Speaker Diarization

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

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

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

Improving Automated Assessment for Student Open-responses in Mathematics

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

Artistic Reflection Through Co-Creative Support Tool Curation

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