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Found 5 papers, 1 papers with code
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds
Interactive computing notebooks, such as Jupyter notebooks, have become a popular tool for developing and improving data-driven models.
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast
Running high-resolution physical models is computationally expensive and essential for many disciplines.
Using link and content over time for embedding generation in Dynamic Attributed Networks
In this work, we consider the problem of combining link, content and temporal analysis for community detection and prediction in evolving networks.
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast
Yield forecast is essential to agriculture stakeholders and can be obtained with the use of machine learning models and data coming from multiple sources.
Determining Song Similarity via Machine Learning Techniques and Tagging Information
We conclude that tf-idf achieves better results than Word2Vec to model the dataset to feature vectors.
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