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Recent Additions:

Y. Djoumbou Feunang, J. Fiamoncini, A. Gil-de-la-Fuente, R. Greiner, C. Manach, D. Wishart. "BioTransformer: a comprehensive computational tool for small molecule metabolism prediction and metabolite identification". Journal Of Cheminformatics, 11(2), January 2019. view
S. Kalmady, R. Greiner, R. Agrawal, V. Shivakumar, J. Narayanaswamy, M. Brown, G. Venkatasubramanian. "Toward artificial intelligence in mental health: Improving prediction of schizophrenia using ensemble-learning with multiple brain parcellations". Nature Schizophrenia, November 2018. view
J. Tomczak, S. Zaręba, S. Ravanbakhsh, R. Greiner. "Low-dimensional Perturb-and-MAP approach for learning Restricted Boltzmann Machines". Neural Processing Letters, pp 21, September 2018. view
L. Kumar, R. Greiner. "Survival prediction using microarray data - A topic modeling approach". Workshop on Computational Frameworks for Personalization, October 2018. view
S. Ravanbakhsh, R. Rabbany, R. Greiner. "Augmentative Message Passing for Traveling Salesman Problem and Graph Partitioning". Neural Information Processing Systems (NIPS), December 2014. view
S. Ravanbakhsh, R. Greiner. "Perturbed Message Passing for Constraint Satisfaction Problems". Journal of Machine Learning Research (JMLR), 16, pp 1249−1274, October 2015. view

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