CZII CryoET Object Identification
The CZII CryoET Object Identification Challenge, hosted on Kaggle from November 2024 to February 2025, was a machine learning competition focused on automating the detection of protein complexes in cryo-electron tomography (cryoET) data. This competition addressed a critical bottleneck in structural biology research by developing algorithms to accurately identify and annotate multiple types of protein complexes in 3D tomographic volumes. More on the Kaggle page
Nov 6, 2024
Open-source Tools for CryoET Particle Picking Machine Learning Competitions
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
Annotating CryoET Volumes: A Machine Learning Challenge
A machine learning challenge and data portal to automate the annotation of cryoET volumes, advancing protein complex identification in cellular environments.
Nov 4, 2024
napari Tutorial DL at MBL 2024
This is the napari tutorial for DL at MBL 2024
Aug 27, 2024
Machine learning-based ozone and PM2.5 forecasting: Application to multiple AQS sites in the Pacific Northwest
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
Development of a Machine Learning Approach for Local-Scale Ozone Forecasting: Application to Kennewick, WA
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
Neuromodulated Learning in Deep Neural Networks
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
Introduction to Machine Learning and Data Mining
Overview of COMP 135 Introduction to Machine Learning and Data Mining at Tufts University, Spring 2016.
Jan 1, 2016