15 citations · 21 across the 3 of their papers we have counts for
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cs.LG2024
Harmful algal bloom forecasting. A comparison between stream and batch learning
Andres Molares-Ulloa, Elisabet Rocruz, Daniel Rivero +4
Diarrhetic Shellfish Poisoning (DSP) is a global health threat arising from shellfish contaminated with toxins produced by dinoflagellates. The condition, with its widespread incid…
cs.LG2024★ 15 cited
Hybrid Machine Learning techniques in the management of harmful algal blooms impact
Andres Molares-Ulloa, Daniel Rivero, Jesus Gil Ruiz +2
Harmful algal blooms (HABs) are episodes of high concentrations of algae that are potentially toxic for human consumption. Mollusc farming can be affected by HABs because, as filte…