Jane Hung
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View article: Leveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories
Leveraging Knowledge Graphs and Large Language Models to Track and Analyze Learning Trajectories Open
This study addresses the challenges of tracking and analyzing students' learning trajectories, particularly the issue of inadequate knowledge coverage in course assessments. Traditional assessment tools often fail to fully cover course con…
View article: Piximi - An Images to Discovery web tool for bioimages and beyond
Piximi - An Images to Discovery web tool for bioimages and beyond Open
Deep learning has greatly accelerated research in biological image analysis yet it often requires programming skills and specialized tool installation. Here we present Piximi, a modern, no-programming image analysis tool leveraging deep le…
View article: Chemoinformatics approaches to help antibacterial discovery
Chemoinformatics approaches to help antibacterial discovery Open
Many bacteria are acquiring more resistance to usual treatments worldwide, to the point that the possible advent of pathogens resistant to the entire current arsenal is a true concern. Therefore, there is an urgent need for finding new eff…
View article: Plug and Play Language Models: A Simple Approach to Controlled Text Generation
Plug and Play Language Models: A Simple Approach to Controlled Text Generation Open
Large transformer-based language models (LMs) trained on huge text corpora have shown unparalleled generation capabilities. However, controlling attributes of the generated language (e.g. switching topic or sentiment) is difficult without …
View article: Metropolis-Hastings Generative Adversarial Networks
Metropolis-Hastings Generative Adversarial Networks Open
We introduce the Metropolis-Hastings generative adversarial network (MH-GAN), which combines aspects of Markov chain Monte Carlo and GANs. The MH-GAN draws samples from the distribution implicitly defined by a GAN's discriminator-generator…
View article: Assessing microscope image focus quality with deep learning
Assessing microscope image focus quality with deep learning Open
Background
\n Large image datasets acquired on automated microscopes typically have some fraction of low quality, out-of-focus images, despite the use of hardware autofocus systems. Identification of these images using automated image anal…
View article: Data-analysis strategies for image-based cell profiling
Data-analysis strategies for image-based cell profiling Open
Image-based cell profiling is a high-throughput strategy for the quantification of phenotypic differences among a variety of cell populations. It paves the way to studying biological systems on a large scale by using chemical and genetic p…
View article: Applying Faster R-CNN for Object Detection on Malaria Images
Applying Faster R-CNN for Object Detection on Malaria Images Open
Deep learning based models have had great success in object detection, but the state of the art models have not yet been widely applied to biological image data. We apply for the first time an object detection model previously used on natu…
View article: CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets
CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets Open
Summary: CellProfiler Analyst allows the exploration and visualization of image-based data, together with the classification of complex biological phenotypes, via an interactive user interface designed for biologists and data scientists. C…
View article: CellProfiler Analyst: interactive data exploration, analysis, and classification of large biological image sets
CellProfiler Analyst: interactive data exploration, analysis, and classification of large biological image sets Open
Summary CellProfiler Analyst allows the exploration and visualization of image-based data, together with the classification of complex biological phenotypes, via an interactive user interface designed for biologists and data scientists. Ce…