MAES20
* *International Workshop on Multimedia Assisted Dietary Management
* Developing a Segmentation Model for Microscopic Images of Microplastics Isolated from Clams
* Environment Object Detection for Marine Argo Drone by Deep Learning
* Environmental Time Series Prediction with Missing Data by Machine Learning and Dynamics Recostruction
* Finding Relevant Flood Images on Twitter Using Content-based Filters
* How Do Deep Convolutional SDM Trained on Satellite Images Unravel Vegetation Ecology?
* Location-specific vs Location-Agnostic Machine Learning Metamodels for Predicting Pasture Nitrogen Response Rate
* Machine Learning Approach to Chlorophyll a Time Series Analysis in the Mediterranean Sea, A
* Multi-input Convlstm for Flood Extent Prediction
* Natural Disaster Classification Using Aerial Photography Explainable for Typhoon Damaged Feature
* Pattern Classification from Multi-beam Acoustic Data Acquired in Kongsfjorden
* Plankton Recognition in Images with Varying Size
* Semi-supervised Learning for Grain Size Distribution Interpolation
* Spatiotemporal Air Quality Inference of Low-cost Sensor Data; Application on a Cycling Monitoring Network
* Unsupervised Classification of Acoustic Echoes from Two Krill Species in the Southern Ocean (Ross Sea)
* Unsupervised Learning of High Dimensional Environmental Data Using Local Fractality Concept
16 for MAES20