412 citations · 494 across the 12 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…
Assessing the Potential of AI for Spatially Sensitive Nature-Related Financial Risks
Steven Reece, Emma O'Donnell, Felicia Liu +4
There is growing recognition among financial institutions, financial regulators and policy makers of the importance of addressing nature-related risks and opportunities. Evaluating…
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…
Mining and Tailings Dam Detection In Satellite Imagery Using Deep Learning
Remis Balaniuk, Olga Isupova, Steven Reece
This work explores the combination of free cloud computing, free open-source software, and deep learning methods to analyse a real, large-scale problem: the automatic country-wide…
Bayesian Heatmaps: Probabilistic Classification with Multiple Unreliable Information Sources
Edwin Simpson, Steven Reece, Stephen J. Roberts
Unstructured data from diverse sources, such as social media and aerial imagery, can provide valuable up-to-date information for intelligent situation assessment. Mining these diff…