Data Science & Analytics

Separating Fact from Fear: Tracking Flu Infections on Twitter NAACL 2013 Shape Index Descriptors Applied to Texture-Based Galaxy Analysis ICCV 2013 Sparse Adaptive Dirichlet-Multinomial-like Processes COLT 2013 Sparse Principal Component Analysis for High Dimensional Multivariate Time Series AISTATS 2013 Speeding up Permutation Testing in Neuroimaging NeurIPS 2013 Speedup Matrix Completion with Side Information: Application to Multi-Label Learning NeurIPS 2013 Stable Hyper-pooling and Query Expansion for Event Detection ICCV 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013 Stochastic blockmodel approximation of a graphon: Theory and consistent estimation NeurIPS 2013 Stochastic blockmodeling of relational event dynamics AISTATS 2013 Strict Monotonicity of Sum of Squares Error and Normalized Cut in the Lattice of Clusterings ICML 2013 Summary Statistics for Partitionings and Feature Allocations NeurIPS 2013 The Extended Parameter Filter ICML 2013 To Aggregate or Not to aggregate: Selective Match Kernels for Image Search ICCV 2013 Tracking Time-varying Graphical Structure NeurIPS 2013 Training and Analysing Deep Recurrent Neural Networks NeurIPS 2013 Transition Matrix Estimation in High Dimensional Time Series ICML 2013 Tree-Independent Dual-Tree Algorithms ICML 2013 Uncover Topic-Sensitive Information Diffusion Networks AISTATS 2013 Unsupervised Random Forest Manifold Alignment for Lipreading ICCV 2013 What do row and column marginals reveal about your dataset? NeurIPS 2013 Which Space Partitioning Tree to Use for Search? NeurIPS 2013 Why Steiner-tree type algorithms work for community detection AISTATS 2013 A Coupled Indian Buffet Process Model for Collaborative Filtering ACML 2012 Adaptive Learning of Smoothing Functions: Application to Electricity Load Forecasting NeurIPS 2012