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Browse Illinois Research and Scholarship by Subject "Machine learning algorithms"

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Kernel-based Gaussian process for anomaly detection in sparse gamma-ray data

Romanchek, Gregory R.; Liu, Zheng; Abbaszadeh, Shiva (PLoS, 2020-01-23)

In radioactive source surveying protocols, a number of task-inherent features degrade the quality of collected gamma ray spectra, including: limited dwell times, a fluctuating background, a large distance to the source, ...

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Tissue-guided LASSO for prediction of clinical drug response using preclinical samples

Huang, Edward W.; Bhope, Ameya; Lim, Jing; Sinha, Saurabh; Emad, Amin (PLoS, 2020-01-22)

Prediction of clinical drug response (CDR) of cancer patients, based on their clinical and molecular profiles obtained prior to administration of the drug, can play a significant role in individualized medicine. Machine ...

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