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Semi-Automated Semantic Segmentation of Arctic Shorelines Using Very High-Resolution Airborne Imagery, Spectral Indices and Weakly Supervised Machine Learning Approaches
land water segmentation remote sensing deep learning sparse labels
2023/12/5
Precise coastal shoreline mapping is essential for monitoring changes in erosion rates, surface hydrology, and ecosystem structure and function. Monitoring water bodies in the Arctic National Wildlife...
2017 International Workshop on Machine Learning Approaches for Understanding the Brain
International Workshop Understanding the Brain
2017/3/21
International Workshop on Machine Learning for Understanding the Brain (MLUB) welcomes original and unpublished work on theory, systems, algorithms and applications related to Machine Learning and und...
The Assessment Methods and Learning Approaches in Nursing Students of Kerman University of Medical Sciences in Iran
Assessment Methods Learning Approaches Medical Surgical Nursing Courses Nursing Students Student Evaluation
2013/2/19
The purpose of this paper is to gain insight into the relationship between the conventional methods of assessment in medical surgical courses and students’ approaches to learning. In this descriptive ...
Androulakis Machine learning approaches in promoter sequence analysis
Androulakis Machine learning promoter sequence analysis
2009/12/24
Gene transcription is one of the main biological processes that govern an organism's response
to external stimuli. Understanding the mechanism of gene regulation offers an avenue with
which to mode...
Assessing learning achievement, time effort, learning approaches and tempo during learning within the experiment-based behavioral task LAsO – reliability and incremental validity
personnel selection learning achievement approaches
2009/12/16
The assessment of aspects of learning potential like learning achievement and approaches in our days of life long learning is interesting for an appraisal of aptitude and the identification of high- a...