Ross Vennell

Orcid: 0000-0001-6961-9977

According to our database1, Ross Vennell authored at least 11 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Local Context-Aware Buoyancy Prediction for Mussel Farm Floats.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Automated Design of Neural Networks for River Flow Prediction Using Weather Data.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

2024
Genetic Programming-Based Multi-Object Matching for Mussel Floats in Mussel Farm Images.
Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

Deep Learning-Based Buoyancy Prediction for Intelligent Mussel Farm Monitoring.
Proceedings of the 39th International Conference on Image and Vision Computing New Zealand, 2024

Evaluating Machine Learning Techniques for Predicting Salinity.
Proceedings of the IEEE Congress on Evolutionary Computation, 2024

2023
Large-Scale Mussel Farm Reconstruction with GPS Auxiliary.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

Buoy Detection under Extreme Low-light Illumination for Intelligent Mussel Farming.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

A New Genetic Programming-Based Approach to Object Detection in Mussel Farm Images.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

Improving Buoy Detection with Deep Transfer Learning for Mussel Farm Automation.
Proceedings of the 38th International Conference on Image and Vision Computing New Zealand, 2023

2021
Deep Convolutional Neural Networks with Transfer Learning for Waterline Detection in Mussel Farms.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Deep Convolutional Neural Networks for Detecting Dolphin Echolocation Clicks.
Proceedings of the 36th International Conference on Image and Vision Computing New Zealand, 2021


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