676 results on '"Chuan Luo"'
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52. SCHash: Speedy Simplicial Complex Neural Networks via Randomized Hashing.
53. An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing.
54. Better Understandings and Configurations in MaxSAT Local Search Solvers via Anytime Performance Analysis.
55. Design optimization of advanced tow-steered composites with manufacturing constraints.
56. Contrastive Learning with Negative Sampling Correction.
57. Dynamic graph-based attribute reduction approach with fuzzy rough sets.
58. Robust unsupervised feature selection via dual space latent representation learning and adaptive structure learning.
59. Feature Selection With Local Density-Based Fuzzy Rough Set Model for Noisy Data.
60. 'A right to be forgotten': retrospective privacy concerns in social networking services.
61. MFGAD: Multi-fuzzy granules anomaly detection.
62. RHDOFS: A Distributed Online Algorithm Towards Scalable Streaming Feature Selection.
63. Spark Rough Hypercuboid Approach for Scalable Feature Selection.
64. Large-Scale Meta-Heuristic Feature Selection Based on BPSO Assisted Rough Hypercuboid Approach.
65. Search-based Diverse Sampling from Real-world Software Product Lines.
66. NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365.
67. Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems.
68. SamplingCA: effective and efficient sampling-based pairwise testing for highly configurable software systems.
69. T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification.
70. Examining how emotions affect online audience retention: Empirical evidence from livestreaming electronic commerce platforms.
71. Feature-guided multi-view clustering by jointing local subspace label learning and global label learning.
72. Understanding the effect of group emotions on consumer instant order cancellation behavior in livestreaming E-commerce: Empirical evidence from TikTok.
73. Sparse orthogonal supervised feature selection with global redundancy minimization, label scaling, and robustness.
74. Unsupervised feature selection via dual space-based low redundancy scores and extended OLSDA.
75. Sparse low-redundancy multilabel feature selection based on dynamic local structure preservation and triple graphs exploration.
76. Multi-view clustering via pseudo-label guide learning and latent graph structure recovery.
77. Dual space-based fuzzy graphs and orthogonal basis clustering for unsupervised feature selection.
78. Fast Multi-view Subspace Clustering with Balance Anchors Guidance.
79. LEFMIFS: Label enhancement and fuzzy mutual information for robust multilabel feature selection.
80. Exploiting fuzzy rough entropy to detect anomalies.
81. Adaptive label secondary reconstruction for missing multi-label learning.
82. Multi-label Feature selection with adaptive graph learning and label information enhancement.
83. Unsupervised feature selection with high-order similarity learning.
84. Feature Decomposition for Reducing Negative Transfer: A Novel Multi-Task Learning Method for Recommender System (Student Abstract).
85. Orthogonally constrained matrix factorization for robust unsupervised feature selection with local preserving.
86. Student-t kernelized fuzzy rough set model with fuzzy divergence for feature selection.
87. Feature selection via minimizing global redundancy for imbalanced data.
88. Multi-label feature selection based on manifold regularization and imbalance ratio.
89. Sparkle: Toward Accessible Meta-Algorithmics for Improving the State of the Art in Solving Challenging Problems.
90. A novel hierarchical feature selection method based on large margin nearest neighbor learning.
91. Robust dual-graph regularized and minimum redundancy based on self-representation for semi-supervised feature selection.
92. A data-level fusion model for unsupervised attribute selection in multi-source homogeneous data.
93. Distributed Evolution Strategies for Black-Box Stochastic Optimization.
94. Particle swarm optimization pattern recognition neural network for transmission lines faults classification.
95. AMG-DTRS: Adaptive multi-granulation decision-theoretic rough sets.
96. Feature Decomposition for Reducing Negative Transfer: A Novel Multi-task Learning Method for Recommender System.
97. AutoCCAG: An Automated Approach to Constrained Covering Array Generation.
98. FastCA: An Effective and Efficient Tool for Combinatorial Covering Array Generation.
99. Semi-supervised Multi-Label Feature Selection Using Hessian Energy based on Maximum Relevance and Minimum Redundancy.
100. Hierarchical Feature Selection via Large Margin Nearest Neighbor.
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