Efficient Multiclass ROC Approximation by Decomposition via Confusion Matrix Perturbation Analysis

VizBin: An application for reference-independent visualization and human-augmented binning of metagenomic data

Learning about the opponent in automated bilateral negotiation: A comprehensive survey of opponent modeling techniques

Diffuse reflectance spectroscopy as a tool for real-time tissue assessment during colorectal cancer surgery

On Developing a Driver Identification Methodology Using In-Vehicle Data Recorders

Machine Learning as Enabler of Design-to-Robotic-Operation

In Situ  Failure Detection of Electronic Control Units Using Piezoresistive Stress Sensor

DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks

Toward complete oral cavity cancer resection using a handheld diffuse reflectance spectroscopy probe

Comparison of Logistic Regression and Bayesian Networks for Risk Prediction of Breast Cancer Recurrence

Using Vine Copulas to Generate Representative System States for Machine Learning

Bayesian Machine Learning in metamaterial design: Fragile becomes supercompressible

Predicting Cell Populations in Single Cell Mass Cytometry Data

Mapping by Observation: Building a User-Tailored Conducting System From Spontaneous Movements

Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification

Neural network decoder for topological color codes with circuit level noise

Is real options analysis fit for purpose in supporting climate adaptation planning and decision-making?

WhiskEras: A New Algorithm for Accurate Whisker Tracking

Sequential Human Gait Classification with Distributed Radar Sensor Fusion

Individual Scatterer Model Learning for Satellite Interferometry