33.1k citations · 33.1k across the 5 of their papers we have counts for
6 papers
Experimental Evaluation of Baselines for Forecasting Social Media Timeseries
Kin Wai Ng, Frederick Mubang, Lawrence O. Hall +2
Forecasting social media activity can be of practical use in many scenarios, from understanding trends, such as which topics are likely to engage more users in the coming week, to…
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders
Kaoutar Ben Ahmed, Lawrence O. Hall, Dmitry B. Goldgof +2
Identifying who is infected with the Covid-19 virus is critical for controlling its spread. X-ray machines are widely available worldwide and can quickly provide images that can be…
Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset
Lawrence O. Hall, Rahul Paul, Dmitry B. Goldgof +1
Testing for COVID-19 has been unable to keep up with the demand. Further, the false negative rate is projected to be as high as 30% and test results can take some time to obtain. X…
Iterative Deep Learning Based Unbiased Stereology With Human-in-the-Loop
Saeed S. Alahmari, Dmitry Goldgof, Lawrence O. Hall +3
Lack of enough labeled data is a major problem in building machine learning based models when the manual annotation (labeling) is error-prone, expensive, tedious, and time-consumin…
SMOTE: Synthetic Minority Over-sampling Technique
N. V. Chawla, K. W. Bowyer, L. O. Hall +1
An approach to the construction of classifiers from imbalanced datasets is described. A dataset is imbalanced if the classification categories are not approximately equally represe…
Learning Membership Functions in a Function-Based Object Recognition System
K. Woods, D. Cook, L. Hall +2
Functionality-based recognition systems recognize objects at the category level by reasoning about how well the objects support the expected function. Such systems naturally associ…