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Social Networks and Social Media |
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Maximizing Friend-Making Likelihood for Social Activity Organization |
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3 | (13) |
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What Is New in Our City? A Framework for Event Extraction Using Social Media Posts |
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16 | (17) |
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Link Prediction in Aligned Heterogeneous Networks |
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33 | (12) |
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Scale-Adaptive Group Optimization for Social Activity Planning |
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45 | (13) |
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Influence Maximization Across Partially Aligned Heterogenous Social Networks |
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58 | (12) |
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Multiple Factors-Aware Diffusion in Social Networks |
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70 | (12) |
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Understanding Community Effects on Information Diffusion |
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82 | (14) |
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On Burst Detection and Prediction in Retweeting Sequence |
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96 | (12) |
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#FewThingsAboutIdioms: Understanding Idioms and Its Users in the Twitter Online Social Network |
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108 | (14) |
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Retweeting Activity on Twitter: Signs of Deception |
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122 | (13) |
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Resampling-Based Gap Analysis for Detecting Nodes with High Centrality on Large Social Network |
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135 | (16) |
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Double Ramp Loss Based Reject Option Classifier |
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151 | (13) |
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Ramasubramanian Sundararajan |
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Efficient Methods for Multi-label Classification |
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164 | (12) |
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A Coupled k-Nearest Neighbor Algorithm for Multi-label Classification |
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176 | (12) |
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Learning Topic-Oriented Word Embedding for Query Classification |
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188 | (11) |
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Reliable Early Classification on Multivariate Time Series with Numerical and Categorical Attributes |
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199 | (13) |
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Distributed Document Representation for Document Classification |
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212 | (14) |
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Prediciton of Emergency Events: A Multi-Task Multi-Label Learning Approach |
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226 | (13) |
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Nearest Neighbor Method Based on Local Distribution for Classification |
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239 | (12) |
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Immune Centroids Over-Sampling Method for Multi-Class Classification |
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251 | (13) |
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Optimizing Classifiers for Hypothetical Scenarios |
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264 | (13) |
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Repulsive-SVDD Classification |
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277 | (12) |
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Centroid-Means-Embedding: an Approach to Infusing Word Embeddings into Features for Text Classification |
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289 | (14) |
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Collaborating Differently on Different Topics: A Multi-Relational Approach to Multi-Task Learning |
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303 | (14) |
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Multi-Task Metric Learning on Network Data |
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317 | (13) |
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A Bayesian Nonparametric Approach to Multilevel Regression |
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330 | (13) |
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Learning Conditional Latent Structures from Multiple Data Sources |
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343 | (12) |
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Collaborative Multi-view Learning with Active Discriminative Prior for Recommendation |
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355 | (14) |
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Online and Stochastic Universal Gradient Methods for Minimizing Regularized Holder Continuous Finite Sums in Machine Learning |
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369 | (11) |
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Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages |
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380 | (12) |
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Uncovering the Latent Structures of Crowd Labeling |
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392 | (13) |
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Use Correlation Coefficients in Gaussian Process to Train Stable ELM Models |
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405 | (13) |
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Local Adaptive and Incremental Gaussian Mixture for Online Density Estimation |
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418 | (11) |
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Latent Space Tracking from Heterogeneous Data with an Application for Anomaly Detection |
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429 | (13) |
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A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization |
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442 | (17) |
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On Damage Identification in Civil Structures Using Tensor Analysis |
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459 | (13) |
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Predicting Smartphone Adoption in Social Networks |
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472 | (14) |
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Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data |
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486 | (12) |
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Locating Self-collection Points for Last-mile Logistics using Public Transport Data |
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498 | (13) |
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A Stochastic Framework for Solar Irradiance Forecasting Using Condition Random Field |
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511 | (14) |
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Online Prediction of Chess Match Result |
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525 | (13) |
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Learning of Performance Measures from Crowd-Sourced Data with Application to Ranking of Investments |
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538 | (12) |
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Hierarchical Dirichlet Process for Tracking Complex Topical Structure Evolution and its Application to Autism Research Literature |
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550 | (13) |
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Automated Detection for Probable Homologous Foodborne Disease Outbreaks |
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563 | (13) |
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Identifying Hesitant and Interested Customers for Targeted Social Marketing |
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576 | (15) |
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Activity-Partner Recommendation |
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591 | (14) |
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Iterative Use of Weighted Voronoi Diagrams to Improve Scalability in Recommender Systems |
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605 | (16) |
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Novel Methods and Algorithms |
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Principal Sensitivity Analysis |
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621 | (12) |
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SocNL: Bayesian Label Propagation with Confidence |
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633 | (13) |
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An Incremental Local Distribution Network for Unsupervised Learning |
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646 | (13) |
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Trend-Based Citation Count Prediction for Research Articles |
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659 | (13) |
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Mining Text Enriched Heterogeneous Citation Networks |
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672 | (12) |
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Boosting via Approaching Optimal Margin Distribution |
|
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684 | (12) |
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o-HETM: An Online Hierarchical Entity Topic Model for News Streams |
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696 | (12) |
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Modeling User Interest and Community Interest in Microbloggings: An Integrated Approach |
|
|
708 | (14) |
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Minimal Jumping Emerging Patterns: Computation and Practical Assessment |
|
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722 | (12) |
|
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Rank Matrix Factorisation |
|
|
734 | (13) |
|
|
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|
An Empirical Study of Personal Factors and Social Effects on Rating Prediction |
|
|
747 | (12) |
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| Author Index |
|
759 | |
Lisainfo e-raamatute kohta