The CZII CryoET Object Identification competition was hosted on Kaggle from Nov 6, 2024 to Feb 5, 2025.
Nov 6, 2024
An ML competition and open-source tools for cryoET particle picking, enabling better data handling, labeling, and visualization for advancing structural biology.
Nov 4, 2024
A machine learning challenge and data portal to automate the annotation of cryoET volumes, advancing protein complex identification in cellular environments.
Nov 4, 2024
This is the napari tutorial for DL at MBL 2024
Aug 27, 2024
This study develops and evaluates a machine learning-based forecasting system for ozone and PM2.5 at multiple AQS sites in the Pacific Northwest, demonstrating improved accuracy and reliability over existing CTM-based forecasts.
Feb 24, 2023
This study developed machine learning models to improve O3 forecasts for Kennewick, WA, demonstrating improved accuracy and reduced computational resources compared to traditional chemical transport models.
Feb 10, 2022
This paper proposes a method of deep artificial neuromodulation for stochastic gradient descent, applying biological neuromodulation concepts to modify learning parameters at each layer in a deep neural network during training. The method shows adaptability to different models and new problems, demonstrating dynamic, location-specific learning strategies.
Dec 11, 2018
Overview of COMP 135 Introduction to Machine Learning and Data Mining at Tufts University, Spring 2016.
Jan 1, 2016