 Connection
Eric Prince to Machine Learning
This is a "connection" page, showing publications Eric Prince has written about Machine Learning.
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Connection Strength |
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0.761 |
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Prince EW, Apps JR, Jeang J, Chee K, Medlin S, Jackson EM, Dudley R, Limbrick D, Naftel R, Johnston J, Feldstein N, Prolo LM, Ginn K, Niazi T, Smith A, Kilburn L, Chern J, Leonard J, Lam S, Hersh DS, Gonzalez-Meljem JM, Amani V, Donson AM, Mitra SS, Bandopadhayay P, Martinez-Barbera JP, Hankinson TC. Unraveling the complexity of the senescence-associated secretory phenotype in adamantinomatous craniopharyngioma using multimodal machine learning analysis. Neuro Oncol. 2024 06 03; 26(6):1109-1123.
Score: 0.604
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Prince EW, Hankinson TC, Görg C. A Visual Analytics Framework for Assessing Interactive AI for Clinical Decision Support. Pac Symp Biocomput. 2025; 30:40-53.
Score: 0.157
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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