34 citations · 84 across the 24 of their papers we have counts for
27 papers
Governance Matters: Lessons from Restructuring the data.table OSS Project
Pedro Oliveira, Doris Amoakohene, Toby Hocking +2
Open source software (OSS) forms the backbone of industrial data workflows and enterprise systems. However, many OSS projects face operational risks due to informal or centralized…
Fused Lasso Improves Accuracy of Co-occurrence Network Inference in Grouped Samples
Daniel Agyapong, Briana H. Beatty, Peter G. Kennedy +2
Co-occurrence network inference algorithms have significantly advanced our understanding of microbiome communities. However, these algorithms typically analyze microbial associatio…
Finite Sample Complexity Analysis of Binary Segmentation
Toby Dylan Hocking
Binary segmentation is the classic greedy algorithm which recursively splits a sequential data set by optimizing some loss or likelihood function. Binary segmentation is widely use…
SOAK: Same/Other/All K-fold cross-validation for estimating similarity of patterns in data subsets
Toby Dylan Hocking, Gabrielle Thibault, Cameron Scott Bodine +3
In many real-world applications of machine learning, we are interested to know if it is possible to train on the data that we have gathered so far, and obtain accurate predictions…
Efficient line search for optimizing Area Under the ROC Curve in gradient descent
Jadon Fowler, Toby Dylan Hocking
Receiver Operating Characteristic (ROC) curves are useful for evaluation in binary classification and changepoint detection, but difficult to use for learning since the Area Under…
Cross-Validation for Training and Testing Co-occurrence Network Inference Algorithms
Daniel Agyapong, Jeffrey Ryan Propster, Jane Marks +1
Microorganisms are found in almost every environment, including the soil, water, air, and inside other organisms, like animals and plants. While some microorganisms cause diseases,…