Biography
RESEARCH INTERESTS
Machine Learning (Structured Learning, Representation Learning, Spatial-Temporal Data Analysis,
Online Learning, Sequential Pattern Mining, Hierarchical Bayes Models, Clustering, Feature Selection,
Dimensionality Reduction, Label Ranking, Semi-Supervised Learning, Multi-Task Learning, Multi-Label
Learning, Multi-Instance Learning, Multi-Source Learning, Support Vector Machines, Boosting, Neural
Networks, Regularization, Biased Data, Missing and Corrupted Data, Class Imbalance)
Data Mining Applications (Remote Sensing, Intelligent Transportation Systems, Medical Records,
Epidemiology, Computational Advertising, Crowdsourcing, Collaborative Filtering, Industrial Informatics, Financial Engineering, Power Systems, Precision Agriculture) Big Data (Learning on a Budget, Scalability, Sampling, Indexing, Distributed Learning, Data Intensive and Cloud Computing) Bioinformatics (Protein Function and Structure Prediction, Genomics, Drug Discovery)
Data Visualization, Convex Optimization, Data Compression, Algorithms, Nonlinear Systems, Signal Processing
Courses Taught
Number | Name | Level |
|---|---|---|
CIS 5526 | Machine Learning | Graduate |
Selected Publications
Recent
McGee, F., Hauri, S., Novinger, Q., Vucetic, S., Levy, R.M., Carnevale, V., & Haldane, A. (2021). The generative capacity of probabilistic protein sequence models. Nat Commun, 12(1), 6302. England. 10.1038/s41467-021-26529-9
Egleston, B.L., Bai, T., Bleicher, R.J., Taylor, S.J., Lutz, M.H., & Vucetic, S. (2021). Statistical inference for natural language processing algorithms with a demonstration using type 2 diabetes prediction from electronic health record notes. Biometrics, 77(3), 1089-1100. England. 10.1111/biom.13338
Henry, K.A., Wiese, D., Maiti, A., Harris, G., Vucetic, S., & Stroup, A.M. (2021). Geographic clustering of cutaneous T-cell lymphoma in New Jersey: an exploratory analysis using residential histories. Cancer Causes Control, 32(9), 989-999. Netherlands. 10.1007/s10552-021-01452-y
Wiese, D., Stroup, A.M., Maiti, A., Harris, G., Lynch, S.M., Vucetic, S., Gutierrez-Velez, V.H., & Henry, K.A. (2021). Measuring Neighborhood Landscapes: Associations between a Neighborhood's Landscape Characteristics and Colon Cancer Survival. Int J Environ Res Public Health, 18(9). Switzerland. 10.3390/ijerph18094728
Banjade, H.R., Hauri, S., Zhang, S., Ricci, F., Gong, W., Hautier, G., Vucetic, S., & Yan, Q. (2021). Structure motif-centric learning framework for inorganic crystalline systems. Sci Adv, 7(17). United States. 10.1126/sciadv.abf1754
Wiese, D., Stroup, A.M., Maiti, A., Harris, G., Lynch, S.M., Vucetic, S., & Henry, K.A. (2020). Residential Mobility and Geospatial Disparities in Colon Cancer Survival. Cancer Epidemiol Biomarkers Prev, 29(11), 2119-2125. United States. 10.1158/1055-9965.EPI-20-0772
Wiese, D., Stroup, A.M., Maiti, A., Harris, G., Lynch, S.M., Vucetic, S., & Henry, K.A. (2020). Socioeconomic Disparities in Colon Cancer Survival: Revisiting Neighborhood Poverty Using Residential Histories. Epidemiology, 31(5), 728-735. United States. 10.1097/EDE.0000000000001216
Shapovalov, M., Dunbrack, R.L., & Vucetic, S. (2020). Multifaceted analysis of training and testing convolutional neural networks for protein secondary structure prediction. PLoS One, 15(5), e0232528. United States. 10.1371/journal.pone.0232528