Bioinformatics

LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network SemEval 2017 Learning what to read: Focused machine reading EMNLP 2017 Target Curricula via Selection of Minimum Feature Sets: a Case Study in Boolean Networks JMLR 2017 When can Multi-Site Datasets be Pooled for Regression? Hypothesis Tests, ℓ_2-consistency and Neuroscience Applications ICML 2017 A Simple and Provable Algorithm for Sparse Diagonal CCA ICML 2016 Bayesian Matrix Factorization with Non-Random Missing Data using Informative Gaussian Process Priors and Soft Evidences PGM 2016 Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks CVPR 2016 Dirichlet Process Mixture Model for Correcting Technical Variation in Single-Cell Gene Expression Data ICML 2016 Learning brain regions via large-scale online structured sparse dictionary learning NeurIPS 2016 Representational Similarity Learning with Application to Brain Networks ICML 2016 Stable Graphical Models JMLR 2016 Building Proteins in a Day: Efficient 3D Molecular Reconstruction CVPR 2015 Efficient Classifier Training to Minimize False Merges in Electron Microscopy Segmentation ICCV 2015 Efficient Learning of Continuous-Time Hidden Markov Models for Disease Progression NeurIPS 2015 JUMP-Means: Small-Variance Asymptotics for Markov Jump Processes ICML 2015 PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data ICML 2015 Analysis of Brain States from Multi-Region LFP Time-Series NeurIPS 2014 Biclustering Using Message Passing NeurIPS 2014 Distance-Based Network Recovery under Feature Correlation NeurIPS 2014 Efficient Dimensionality Reduction for High-Dimensional Network Estimation ICML 2014 Learning Modular Structures from Network Data and Node Variables ICML 2014 Localized Data Fusion for Kernel k-Means Clustering with Application to Cancer Biology NeurIPS 2014 On Prior Distributions and Approximate Inference for Structured Variables NeurIPS 2014 On Sparse Gaussian Chain Graph Models NeurIPS 2014 Sparse Bayesian Variable Selection for the Identification of Antigenic Variability in the Foot-and-Mouth Disease Virus AISTATS 2014