Special Issue: Foundations of Data Science

In this topical collection (29 articles)

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1. OriginalPaper

   Embed2Detect: temporally clustered embedded words for event detection in social media

   Hansi Hettiarachchi, Mariam Adedoyin-Olowe, Jagdev Bhogal… Pages 49-87

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2. OriginalPaper

   SAMBA: safe model-based & active reinforcement learning

   Alexander I. Cowen-Rivers, Daniel Palenicek, Vincent Moens… Pages 173-203

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3. OriginalPaper

   InfoGram and admissible machine learning

   Subhadeep Mukhopadhyay Pages 205-242

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4. OriginalPaper

   Reconciling privacy and utility: an unscented Kalman filter-based framework for differentially private machine learning

   Kunsheng Tang, Ping Li, Yide Song, Tian Luo Pages 311-351

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5. OriginalPaper

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

   Bernat Coma-Puig, Josep Carmona Pages 487-517

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6. OriginalPaper

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

   Yulong Pei, Tianjin Huang, Werner van Ipenburg, Mykola Pechenizkiy Pages 519-541

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7. OriginalPaper

   Partial counterfactual identification and uplift modeling: theoretical results and real-world assessment

   Théo Verhelst, Denis Mercier, Jeevan Shrestha, Gianluca Bontempi Pages 1043-1067

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8. OriginalPaper

   Time-aware tensor decomposition for sparse tensors

   Dawon Ahn, Jun-Gi Jang, U Kang Pages 1409-1430

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9. OriginalPaper

   PAC-learning with approximate predictors

   Andrew J. Turner, Ata Kabán Pages 1693-1732

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10. OriginalPaper

    Traditional and context-specific spam detection in low resource settings

    Kornraphop Kawintiranon, Lisa Singh, Ceren Budak Pages 2515-2536

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11. OriginalPaper

    Ordinal regression with explainable distance metric learning based on ordered sequences

    Juan Luis Suárez, Salvador García, Francisco Herrera Pages 2729-2762

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12. OriginalPaper

    ZipLine: an optimized algorithm for the elastic bulk synchronous parallel model

    Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu… Pages 2867-2903

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13. OriginalPaper

    Conditional t-SNE: more informative t-SNE embeddings

    Bo Kang, Darío García García, Jefrey Lijffijt, Raúl Santos-Rodríguez… Pages 2905-2940

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14. OriginalPaper

    MLife: a lite framework for machine learning lifecycle initialization

    Cong Yang, Wenfeng Wang, Yunhui Zhang, Zhikai Zhang, Lina Shen… Pages 2993-3013

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15. OriginalPaper

    Tensor decision trees for continual learning from drifting data streams

    Bartosz Krawczyk Pages 3015-3035

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16. OriginalPaper

    Deep learning and multivariate time series for cheat detection in video games

    José Pedro Pinto, André Pimenta, Paulo Novais Pages 3037-3057

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17. OriginalPaper

    RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification

    Michał Koziarski, Colin Bellinger, Michał Woźniak Pages 3059-3093

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18. OriginalPaper

    A unified framework for closed-form nonparametric regression, classification, preference and mixed problems with Skew Gaussian Processes

    Alessio Benavoli, Dario Azzimonti, Dario Piga Pages 3095-3133

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19. OriginalPaper

    Misalignment problem in matrix decomposition with missing values

    Sofia Fernandes, Mário Antunes, Diogo Gomes, Rui L. Aguiar Pages 3157-3175

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20. OriginalPaper

    Analyzing and repairing concept drift adaptation in data stream classification

    Ben Halstead, Yun Sing Koh, Patricia Riddle, Russel Pears… Pages 3489-3523

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