output
20192025
most citedYou Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection

54 citations

10 papers

q-bio.QM2025

Estimating carbon pools in the European Shelf sea environment: replacing reanalysis by model-informed machine learning?

Jozef Skakala

Shelf seas are important for the economy and the carbon cycle, but shelf sea observations for carbon pools are often sparse, or highly uncertain. An alternative can be provided by…

q-bio.QM2025

Assimilation of machine learning-predicted nitrate to improve the quality of phytoplankton forecasting in the shelf sea environment

Deep S Banerjee, Jozef Skakala, David Ford

We demonstrate that assimilating Neural Network (NN)-predicted surface nitrate leads to a major improvement in phytoplankton short-range (1-5 day) dynamical model forecasts for the…

physics.ao-ph2025★ 1 cited

Hybrid machine learning data assimilation for marine biogeochemistry

Ieuan Higgs, Ross Bannister, Jozef Skákala +2

Marine biogeochemistry models are critical for forecasting, as well as estimating ecosystem responses to climate change and human activities. Data assimilation (DA) improves these…

math.OC2025

Quantum-Assisted Space Logistics Mission Planning

Amiratabak Bahengam, Mohammad-Ali Miri, R. Joseph Rupert +2

Quantum computing provides a novel approach to addressing conventionally intractable issues in large-scale optimization. Space logistics missions require the efficient routing of p…

cs.SD2022★ 5 cited

Word Embeddings for Automatic Equalization in Audio Mixing

Satvik Venkatesh, David Moffat, Eduardo Reck Miranda

In recent years, machine learning has been widely adopted to automate the audio mixing process. Automatic mixing systems have been applied to various audio effects such as gain-adj…

stat.AP2021★ 14 cited

Ocean Mover's Distance: Using Optimal Transport for Analyzing Oceanographic Data

Sangwon Hyun, Aditya Mishra, Christopher L. Follett +8

Remote sensing observations from satellites and global biogeochemical models have combined to revolutionize the study of ocean biogeochemical cycling, but comparing the two data st…

stat.AP2021★ 15 cited

Exploitation of error correlation in a large analysis validation: GlobCurrent case study

Richard E. Danielson, Johnny A. Johannessen, Graham D. Quartly +4

An assessment of variance in ocean current signal and noise shared by in situ observations (drifters) and a large gridded analysis (GlobCurrent) is sought as a function of day of t…

eess.AS2021★ 54 cited

You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection

Satvik Venkatesh, David Moffat, Eduardo Reck Miranda

Audio segmentation and sound event detection are crucial topics in machine listening that aim to detect acoustic classes and their respective boundaries. It is useful for audio-con…

q-bio.PE2020★ 1 cited

Low complexity model to study scale dependence of phytoplankton dynamics in the tropical Pacific

Jozef Skakala, Paolo Lazzari

We demonstrate that a simple model based on reaction-diffusion-advection (RDA) equation forced by realistic surface velocities and nutrients is skilled in reproducing the distribut…

astro-ph.IM2019★ 18 cited

Long-baseline horizontal radio-frequency transmission through polar ice

P. Allison, S. Archambault, J. J. Beatty +63

We report on analysis of englacial radio-frequency (RF) pulser data received over horizontal baselines of 1--5 km, based on broadcasts from two sets of transmitters deployed to dep…