Showing 1–12 of 12 results
/ Date/ Name
May 9, 2024Driving down Poisson error can offset classification error in clinical tasksAug 3, 2018Built to Last: Functional and structural mechanisms in the moth olfactory network mitigate effects of neural injuryFeb 15, 2018Putting a bug in ML: The moth olfactory network learns to read MNISTNov 12, 2021PySINDy: A comprehensive Python package for robust sparse system identificationNov 8, 2021A toolkit for data-driven discovery of governing equations in high-noise regimesFeb 8, 2018Biological Mechanisms for Learning: A Computational Model of Olfactory Learning in the Manduca sexta Moth, with Applications to Neural NetsSep 14, 2022Metrics to guide development of machine learning algorithms for malaria diagnosisAug 23, 2018Insect cyborgs: Bio-mimetic feature generators improve machine learning accuracy on limited dataJan 26, 2019Money on the Table: Statistical information ignored by Softmax can improve classifier accuracyOct 5, 2023How Good Are Synthetic Medical Images? An Empirical Study with Lung UltrasoundAug 5, 2019Fully-automated patient-level malaria assessment on field-prepared thin blood film microscopy images, including Supplementary InformationJan 22, 2026Beyond validation loss: Clinically-tailored optimization metrics improve a model's clinical performance