Useful Summary: Title: Evaluating Mobile App Release Authors: Ya Xu*, LinkedIn Corporation Nanyu Chen, LinkedIn Corporation Abstract: We ... Title: FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks Authors: Chen Chen*, Arizona State ...
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Title: From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach Authors: ... Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ... Title: FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks Authors: Chen Chen*, Arizona State ...
Topic Summary
Title: FASCINATE: Fast Cross-Layer Dependency Inference on Multi-layered Networks Authors: Chen Chen*, Arizona State ... Title: TRIÈST: Counting Local and Global Triangles in Fully-dynamicStreams with Fixed Memory Size Authors: Lorenzo De ...
Source Context for Readers
Title: Evaluating Mobile App Release Authors: Ya Xu*, LinkedIn Corporation Nanyu Chen, LinkedIn Corporation Abstract: We ... Title: Convex Optimization for Linear Query Processing under Approximate Differential Privacy Authors: Ganzhao Yuan*, South ... Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ...
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Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ... Title: CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents Authors: Fedor ...
Important details found
- Title: TRIÈST: Counting Local and Global Triangles in Fully-dynamicStreams with Fixed Memory Size Authors: Lorenzo De ...
- Title: A Subsequence Interleaving Model for Sequential Pattern Mining Authors: Jaroslav Fowkes, University of Edinburgh Charles ...
- Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ...
- Title: Convex Optimization for Linear Query Processing under Approximate Differential Privacy Authors: Ganzhao Yuan*, South ...
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