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Beating the baseline prediction in food sales: How intelligent an intelligent predictor is?

, , and . Expert Syst. Appl., 39 (1): 806-815 (2012)

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Introduction to the special issue on handling concept drift in adaptive information systems., and . Evol. Syst., 4 (1): 1-2 (2013)Feature Extraction for Dynamic Integration of Classifiers., , , and . Fundam. Informaticae, 77 (3): 243-275 (2007)Generation of False Data Injection Attacks using Conditional Generative Adversarial Networks., , , , and . ISGT-Europe, page 41-45. IEEE, (2020)Can Fairness be Automated? Guidelines and Opportunities for Fairness-aware AutoML., , , , , , , , , and . J. Artif. Intell. Res., (2024)A Graph-Based Approach for Mitigating Multi-Sided Exposure Bias in Recommender Systems., , , , and . ACM Trans. Inf. Syst., 40 (2): 32:1-32:31 (2022)struc2gauss: Structure Preserving Network Embedding via Gaussian Embedding., , , , and . CoRR, (2018)Topological Insights in Sparse Neural Networks., , , , , , , and . CoRR, (2020)Intrinsically Sparse Long Short-Term Memory Networks., , and . CoRR, (2019)Dynamic and adaptive hypertext: generic frameworks, approaches and techniques., and . Hypertext, page 387-388. ACM, (2009)Guest editorial for DKE special issue on "Biomedical Data Mining"., and . Data Knowl. Eng., 68 (12): 1357-1358 (2009)