17 citations · 28 across the 8 of their papers we have counts for
8 papers
Instance Space Analysis of Search-Based Software Testing
Neelofar Neelofar, Kate Smith-Miles, Mario Andres Munoz +1
Search-based software testing (SBST) is now a mature area, with numerous techniques developed to tackle the challenging task of software testing. SBST techniques have shown promisi…
Comprehensive Algorithm Portfolio Evaluation using Item Response Theory
Sevvandi Kandanaarachchi, Kate Smith-Miles
Item Response Theory (IRT) has been proposed within the field of Educational Psychometrics to assess student ability as well as test question difficulty and discrimination power. M…
An Efficient Transformer for Simultaneous Learning of BEV and Lane Representations in 3D Lane Detection
Ziye Chen, Kate Smith-Miles, Bo Du +2
Accurately detecting lane lines in 3D space is crucial for autonomous driving. Existing methods usually first transform image-view features into bird-eye-view (BEV) by aid of inver…
A novel machine learning enabled hybrid optimization framework for efficient and transferable coarse-graining of a model polymer
Zakiya Shireen, Hansani Weeratunge, Adrian Menzel +4
This work presents a novel framework governing the development of an efficient, accurate, and transferable coarse-grained (CG) model of a polyether material. The proposed framework…
PyHard: a novel tool for generating hardness embeddings to support data-centric analysis
Pedro Yuri Arbs Paiva, Kate Smith-Miles, Maria Gabriela Valeriano +1
For building successful Machine Learning (ML) systems, it is imperative to have high quality data and well tuned learning models. But how can one assess the quality of a given data…
Anomaly Detection in High Dimensional Data
Priyanga Dilini Talagala, Rob J. Hyndman, Kate Smith-Miles
The HDoutliers algorithm is a powerful unsupervised algorithm for detecting anomalies in high-dimensional data, with a strong theoretical foundation. However, it suffers from some…