- ๐ง๐ฝโ๐ฆฑ I'm Filippo Maria Bianchi
- ๐ฎ๐น I'm Italian but I live in Norway ๐ณ๐ด
- ๐ I'm an associate professor at UiT the Arctic University of Norway
- ๐ฌ I do research in ML for time series and graphs
- ๐ I also work on remote sensing applications
- ๐ I mostly work with Python and I try to open-source all my work
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UiT the Arctic University of Norway
- Tromsรธ
- https://sites.google.com/view/filippombianchi/home
- https://orcid.org/0000-0002-7145-3846
- in/filippo-maria-bianchi
- @FilippoMariaBi1
Highlights
- Pro
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python-time-series-handbook
python-time-series-handbook PublicBook and material for the course "Time series analysis with Python" (STA-2003)
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Time-series-classification-and-clustering-with-Reservoir-Computing
Time-series-classification-and-clustering-with-Reservoir-Computing PublicLibrary for implementing reservoir computing models (echo state networks) for multivariate time series classification, clustering, forecasting, and much more!
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Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling PublicReproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling".
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Ensemble-Conformalized-Quantile-Regression
Ensemble-Conformalized-Quantile-Regression PublicValid and adaptive prediction intervals for probabilistic time series forecasting.
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Benchmark_dataset_for_graph_classification
Benchmark_dataset_for_graph_classification PublicDataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
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Simplifying-Clustering-with-Graph-Neural-Networks
Simplifying-Clustering-with-Graph-Neural-Networks PublicImplementation of "Just Balance GNN" for graph classification and node clustering from the paper "Simplifying Clusterings with Graph Neural Networks".
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