Publications (6)
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization
Hong Nguyen, Hoang Nguyen, Melinda Chang +3
Understanding the severity of conditions shown in images in medical diagnosis is crucial, serving as a key guide for clinical assessment, treatment, as well as evaluating longitudi…
Deriva-ML: A Continuous FAIRness Approach to Reproducible Machine Learning Models
Zhiwei Li, Carl Kesselman, Mike D'Arch +2
Increasingly, artificial intelligence (AI) and machine learning (ML) are used in eScience applications [9]. While these approaches have great potential, the literature has shown th…
The Lowell Database Research Self Assessment
Serge Abiteboul, Rakesh Agrawal, Phil Bernstein +26
A group of senior database researchers gathers every few years to assess the state of database research and to point out problem areas that deserve additional focus. This report su…
A Natural Language Query Interface for Searching Personal Information on Smartwatches
Reza Rawassizadeh, Chelsea Dobbins, Manouchehr Nourizadeh +2
Currently, personal assistant systems, run on smartphones and use natural language interfaces. However, these systems rely mostly on the web for finding information. Mobile and wea…
Explainable Severity ranking via pairwise n-hidden comparison: a case study of glaucoma
Hong Nguyen, Cuong V. Nguyen, Shrikanth Narayanan +2
Primary open-angle glaucoma (POAG) is a chronic and progressive optic nerve condition that results in an acquired loss of optic nerve fibers and potential blindness. The gradual on…
Explaining Image Classifiers Using Contrastive Counterfactuals in Generative Latent Spaces
Kamran Alipour, Aditya Lahiri, Ehsan Adeli +2
Despite their high accuracies, modern complex image classifiers cannot be trusted for sensitive tasks due to their unknown decision-making process and potential biases. Counterfact…