Abstract: Machine learning (ML) is ever more frequently used as ... In this article we propose the use of binary decision diagrams (BDDs) as an interpretable ML model. BDDs can be deemed as ...

As data volumes surge across every industry and machine learning tools become more ... combinations to identify the best-performing model for a given dataset. It supports a variety of tasks, including ...

Amy is an ACA and the CEO and founder of OnPoint Learning, a financial training ... or things. Venn diagrams show at a glance the similarities and differences between concepts, things, or people.

Abstract: Reservoir classification is an important component ... A comparison with the prediction results of 5 classic machine learning methods and baseline models shows that the Bi-LSTM model with ...

The deep-learning algorithm used in this study is shown as Figure 2. The model comprises a gated module, a LSTM module, and a prediction module ... two main features are selected for further ...

Despite the advances in deep learning for hyperspectral image classification ... parts, the spatially separable convolutional context exploration (SSCE) module and the dilated convolutional context ...

├── AKIS_SEMASI_FLOWCHART/ # Project flowcharts and visual diagrams ├── FTIR_DATA/ # FTIR-based spectral data for classification ├── KODLAR/ # Python scripts and Jupyter notebooks ├── MAKale/ # ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...