Slobodan Vucetic

Computer and Information Science Temple University, Philadelphia, PA, United States 
Computer Science, Biostatistics Biology
"Slobodan Vucetic"
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Egleston BL, Bai T, Bleicher RJ, et al. (2020) Statistical inference for natural language processing algorithms with a demonstration using type 2 diabetes prediction from electronic health record notes. Biometrics
Bai T, Egleston BL, Bleicher R, et al. (2019) Medical Concept Representation Learning from Multi-source Data. Ijcai : Proceedings of the Conference. 2019: 4897-4903
Zhou N, Jiang Y, Bergquist TR, et al. (2019) The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens. Genome Biology. 20: 244
Bai T, Egleston BL, Zhang S, et al. (2018) Interpretable Representation Learning for Healthcare via Capturing Disease Progression through Time. Kdd : Proceedings. International Conference On Knowledge Discovery & Data Mining. 2018: 43-51
Bai T, Chanda AK, Egleston BL, et al. (2018) EHR phenotyping via jointly embedding medical concepts and words into a unified vector space. Bmc Medical Informatics and Decision Making. 18: 123
Bai T, Chanda AK, Egleston BL, et al. (2017) Joint Learning of Representations of Medical Concepts and Words from EHR Data. Proceedings. Ieee International Conference On Bioinformatics and Biomedicine. 2017: 764-769
Zhang K, Lan L, Kwok JT, et al. (2015) Scaling up graph-based semisupervised learning via prototype vector machines. Ieee Transactions On Neural Networks and Learning Systems. 26: 444-57
Djuric N, Radosavljevic V, Obradovic Z, et al. (2015) Gaussian conditional random fields for aggregation of operational aerosol retrievals Ieee Geoscience and Remote Sensing Letters. 12: 761-765
Radosavljevic V, Vucetic S, Obradovic Z. (2014) Neural Gaussian conditional random fields Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8725: 614-629
Lan L, Vucetic S. (2013) Multi-task feature selection in microarray data by binary integer programming. Bmc Proceedings. 7: S5
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