15 citations · 34 across the 11 of their papers we have counts for
12 papers
Decoding Insect Song: A Multitask Semisupervised Orthoptera Bioacoustic Classifier
Olga Isupova, Danil Kuzin, Ella Browning +2
Passive acoustic monitoring holds great promise for ecological inference, yet existing automated tools are typically narrowly trained and non-transferable. We address these limitat…
Improving Deep Ensembles by Estimating Confusion Matrices
Danil Kuzin, Olga Isupova, Steven Reece +1
Ensembling in deep learning improves accuracy and calibration over single networks. The traditional aggregation approach, ensemble averaging, treats all individual networks equally…
Disaster mapping from satellites: damage detection with crowdsourced point labels
Danil Kuzin, Olga Isupova, Brooke D. Simmons +1
High-resolution satellite imagery available immediately after disaster events is crucial for response planning as it facilitates broad situational awareness of critical infrastruct…
Uncertainty propagation in neural networks for sparse coding
Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
A novel method to propagate uncertainty through the soft-thresholding nonlinearity is proposed in this paper. At every layer the current distribution of the target vector is repres…
BCCNet: Bayesian classifier combination neural network
Olga Isupova, Yunpeng Li, Danil Kuzin +3
Machine learning research for developing countries can demonstrate clear sustainable impact by delivering actionable and timely information to in-country government organisations (…
Spatio-Temporal Structured Sparse Regression with Hierarchical Gaussian Process Priors
Danil Kuzin, Olga Isupova, Lyudmila Mihaylova
This paper introduces a new sparse spatio-temporal structured Gaussian process regression framework for online and offline Bayesian inference. This is the first framework that give…