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Benchmarking in classification and regression
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Classification systems in dynamic environments: an overview
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Data Streams: Models and Algorithms
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ImageNet Large Scale Visual Recognition Challenge
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Machine Learning, Neural and Statistical Classification
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Statistical pattern recognition: a review
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Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
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The Design and Analysis of Benchmark Experiments
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Greedy function approximation: A gradient boosting machine.
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Multivariate Adaptive Regression Splines
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Evaluation of data mining approaches for the control of multifunctional arm prostheses
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The class imbalance problem: A systematic study1
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Review of the BCI Competition IV
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OpenML: networked science in machine learning
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Understanding deep learning requires rethinking generalization
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Is The Winner Really The Best? A Critical Analysis Of Common Research Practice In Biomedical Image Analysis Competitions
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