Following is the list of accepted DSW 2019 papers, sorted by paper title. You can use the search feature of your web browser to find your paper number. Notifications to all authors have also been sent by email. If you have not received your notification of the results by email, please contact us at dsw2019@cmsworkshops.com.
| 1098 | A Convolutional Neural Network Approach to Automated Lung Bounding Box Estimation from Computed Tomography Scans |
| 1020 | A HIERARCHICAL APPROACH FOR TIMELY CYBERBULLYING DETECTION |
| 1019 | A Stochastic LBFGS Algorithm for Radio Interferometric Calibration |
| 1105 | ASSESSING THE RESILIENCE OF TEXAS POWER GRID NETWORK |
| 1090 | Asynchronous Distributed Edge-Variant Graph Filters |
| 1085 | BAYESIAN MULTIPLE HYPOTHESIS TESTING FOR DISTRIBUTED DETECTION IN SENSOR NETWORKS |
| 1121 | BLIND ENSEMBLE CLASSIFICATION OF SEQUENTIAL DATA |
| 1122 | BYZANTINE-ROBUST STOCHASTIC GRADIENT DECENT FOR DISTRIBUTED LOW-RANK MATRIX COMPLETION |
| 1093 | Canonical Polyadic (CP) Decomposition of Structured Semi-Symmetric Fourth-Order Tensors |
| 1044 | CENSORING-BASED DISTRIBUTED KERNEL LEARNING VIA RANDOM FEATURES |
| 1077 | Classification of Hyperspectral Colon Cancer Images Using Convolutional Neural Networks |
| 1036 | CLUSTERED GAUSSIAN GRAPHICAL MODEL VIA SYMMETRIC CONVEX CLUSTERING |
| 1112 | Data Driven Measurement Matrix Learning for Sparse Reconstruction |
| 1111 | Data-Driven Mean-Field Game Approximation for a Population of Electric Vehicles |
| 1054 | DEEP ONE-CLASS CLASSIFICATION USING INTRA-CLASS SPLITTING |
| 1061 | DISTANCE-PENALIZED ACTIVE LEARNING VIA MARKOV DECISION PROCESSES |
| 1005 | DISTRIBUTED TRAINING WITH MOBILE AGENTS: OPTIMIZATION OVER DYNAMIC DIRECTED GRAPHS |
| 1007 | DISTRIBUTION SYSTEM STATE ESTIMATION VIA DATA-DRIVEN AND PHYSICS-AWARE DEEP NEURAL NETWORKS |
| 1017 | DYNAMIC FUNCTIONAL CONNECTIVITY USING HEAT KERNEL |
| 1014 | ENHANCING MEDICAL IMAGING SEMANTIC SEGMENTATION USING THE DIGITAL ANNEALER |
| 1063 | ESTIMATION OF STATE-SPACE MODELS WITH GAUSSIAN MIXTURE PROCESS NOISE |
| 1043 | FINITE SAMPLE BOUNDS ON THE PERFORMANCE OF WEIGHTED LINEAR LEAST SQUARES IN SUB-GAUSSIAN CORRELATED NOISE |
| 1022 | GENERALIZED JORDAN CENTER: A SOURCE LOCALIZATION HEURISTIC FOR NOISY AND INCOMPLETE OBSERVATIONS |
| 1073 | GNSD: A Gradient-Tracking based Nonconvex Stochastic Algorithm for Decentralized Optimization |
| 1081 | GRADIENT CODING WITH CLUSTERING AND MULTI-MESSAGE COMMUNICATION |
| 1003 | Graph Topology Learning and Signal Recovery via Bayesian Inference |
| 1099 | GRAPHICAL MODELS AND DYNAMIC LATENT FACTORS FOR MODELING FUNCTIONAL BRAIN CONNECTIVITY |
| 1092 | INTRODUCING GRAPH SMOOTHNESS LOSS FOR TRAINING DEEP LEARNING ARCHITECTURES |
| 1117 | KERNEL-BASED EFFICIENT LIFELONG LEARNING ALGORITHM |
| 1028 | LEARNING PARTIALLY OBSERVABLE MARKOV DECISION PROCESSES USING COUPLED CANONICAL POLYADIC DECOMPOSITION |
| 1011 | LEARNING TO DETECT AN ANOMALOUS TARGET WITH OBSERVATIONS FROM AN EXPONENTIAL FAMILY |
| 1103 | LEARNING TO INFER VOLTAGE STABILITY MARGIN USING TRANSFER LEARNING |
| 1071 | LEARNING TO REGULARIZE USING NEUMANN NETWORKS |
| 1033 | LOCALIZATION OF DATA INJECTION ATTACKS ON DISTRIBUTED M-ESTIMATION |
| 1100 | LONG-RANGE DEPENDENCE PARAMETER ESTIMATION FOR MIXED SPECTRA GAUSSIAN PROCESSES |
| 1076 | MULTISPECTRAL SNAPSHOT DEMOSAICING VIA NON-CONVEX MATRIX COMPLETION |
| 1059 | MULTITAPER ANALYSIS OF EVOLUTIONARY SPECTRAL DENSITY MATRIX FROM MULTIVARIATE SPIKING OBSERVATIONS |
| 1057 | NON-NEGATIVE MATRIX FACTORIZATION OF CLUSTERED DATA WITH MISSING VALUES |
| 1113 | NUMERICAL ANALYSIS OF RANDOMIZED ALGORITHMS FOR DATA-DRIVEN STABILIZATION |
| 1047 | ON MODELING VOLTAGE PHASOR MEASUREMENTS AS GRAPH SIGNALS |
| 1086 | Online Distributed Estimation of Principal Eigenspaces |
| 1106 | ONLINE SELECTIVE TRAINING FOR FASTER NEURAL NETWORK LEARNING |
| 1060 | ONLINE SPARSE SUBSPACE CLUSTERING |
| 1080 | ONLINE TENSOR DECOMPOSITION AND IMPUTATION FOR COUNT DATA |
| 1109 | Online Topology Inference from Streaming Stationary Graph Signals |
| 1034 | OPTIMAL SAMPLING SETS IN COGRAPHS |
| 1037 | RECENT NUMERICAL AND CONCEPTUAL ADVANCES FOR TENSOR DECOMPOSITIONS — A PREVIEW OF TENSORLAB 4.0 |
| 1091 | Recovery of Missing Data in Correlated Smart Grid Datasets |
| 1041 | RUMOUR DETECTION VIA NEWS PROPAGATION DYNAMICS AND USER REPRESENTATION LEARNING |
| 1009 | SAMPLING OF GRAPH SIGNALS WITH BLUE NOISE DITHERING |
| 1129 | SCALABLE LEARNING WITH PRIVACY OVER GRAPHS |
| 1123 | SEMI-SUPERVISED TRACKING OF DYNAMIC PROCESSES OVER SWITCHING GRAPHS |
| 1023 | SIMULTANEOUS MULTIVARIATE OUTLIER AND TREND DETECTION |
| 1065 | SPARSE AND FUNCTIONAL PRINCIPAL COMPONENTS ANALYSIS |
| 1064 | SPLITTING METHODS FOR CONVEX BI-CLUSTERING AND CO-CLUSTERING |
| 1025 | STATISTICAL LEARNING USING HIERARCHICAL MODELING OF PROBABILITY TENSORS |
| 1055 | Stochastic Optimization for Coupled Tensor Decomposition with Applications in Statistical Learning |
| 1094 | Structural Robustness for Deep Learning Architectures |
| 1024 | SUPERVISED PRINCIPAL COMPONENT ANALYSIS VIA MANIFOLD OPTIMIZATION |
| 1026 | THE CORE CONSISTENCY OF A COMPRESSED TENSOR |
| 1102 | TIME-VARYING INTERACTION ESTIMATION USING ENSEMBLE METHODS |
| 1126 | TRAINING GENERATIVE NETWORKS USING RANDOM DISCRIMINATORS |
| 1110 | VERTEX-FREQUENCY CLUSTERING |