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Bidur-Khanal / MVAAL-medical-images

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In this work we present a task-agnostic Multimodal Variational Aversarial Active Learning (M-VAAL) for sampling the most informative samples for annotation in various Medical Image Analysis Downstream tasks, such as segmentation, and classification.

segmentation chest-xray-images medical-images active-learning brats2018 classificaiton multimodal-active-learning multimodal-variational-adversarial-active-learning task-agnostic
  • Updated Jun 23, 2023
  • Jupyter Notebook
Sensor-Data-Time-Series-Classification-Forecasting-Clustering-Anomaly-Detection-Explainability

emailic / Sensor-Data-Time-Series-Classification-Forecasting-Clustering-Anomaly-Detection-Explainability

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In this repository you may find data and code used for a machine learning project in sensor data done in collaboration with my colleagues Lorenzo Ferri and Roberta Pappolla at the University of Pisa.

machine-learning timeseries deep-learning random-forest regression lstm pca ensemble-learning outlier-detection convolutional-neural-network time-series-analysis time-series-classification time-series-prediction time-series-forecasting classificaiton
  • Updated Jul 17, 2022
  • Jupyter Notebook

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