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Crowdsourcing Meets Ecology: Hemisphere-Wide Spatiotemporal Species Distribution Models.

, , , , , , and . AI Magazine, 35 (2): 19-30 (2014)

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Protein interaction sentence detection using multiple semantic kernels., , and . J. Biomedical Semantics, (2011)Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection., and . Bioinformatics, 24 (10): 1264-1270 (2008)Multiclass relevance vector machines: sparsity and accuracy., , and . IEEE Trans. Neural Networks, 21 (10): 1588-1598 (2010)Enabling Dependability-Driven Resource Use and Message Log-Analysis for Cluster System Diagnosis., , , , , , , , and . HiPC, page 317-327. IEEE Computer Society, (2017)Inferring Sparse Kernel Combinations and Relevance Vectors: An Application to Subcellular Localization of Proteins., , , and . ICMLA, page 577-582. IEEE Computer Society, (2008)Multi-resolution Multi-task Gaussian Processes., , , and . NeurIPS, page 14025-14035. (2019)Adaptive Spatio-Temporal Exploratory Models: Hemisphere-wide species distributions from massively crowdsourced eBird data., , and . AAAI, AAAI Press, (2013)A spatio-temporal, Gaussian process regression, real-estate price predictor., , , and . SIGSPATIAL/GIS, page 68:1-68:4. ACM, (2016)Combining Heterogeneous User Generated Data to Sense Well-being., , , , , and . COLING, page 3007-3018. ACL, (2016)On the Constrained Least-cost Tour Problem., , and . CoRR, (2019)