1. A review on instance ranking problems in statistical learning

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2. Reinforcement learning for robotic manipulation using simulated locomotion demonstrations

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3. Non-technical losses detection in energy consumption focusing on energy recovery and explainability

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4. ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks

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   • Tianjin Huang
   • Mykola Pechenizkiy

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5. Generalized vec trick for fast learning of pairwise kernel models

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6. Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment

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7. Symbolic DNN-Tuner

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8. Multi-target prediction for dummies using two-branch neural networks

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   OriginalPaper 06 January 2022 Pages: 651 - 684

   

9. Achieving adversarial robustness via sparsity

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   • Pengzhi Chu

   OriginalPaper 12 October 2021 Pages: 685 - 711

   

10. A flexible class of dependence-aware multi-label loss functions

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11. Model selection in reconciling hierarchical time series

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    • Rob J. Hyndman
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    OriginalPaper 14 January 2022 Pages: 739 - 789

    

12. Multiway p-spectral graph cuts on Grassmann manifolds

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    OriginalPaper Open access 18 November 2021 Pages: 791 - 829