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  1. Item response theory in AI: Analysing machine learning classifiers at the instance level.Fernando Martínez-Plumed, Ricardo B. C. Prudêncio, Adolfo Martínez-Usó & José Hernández-Orallo - 2019 - Artificial Intelligence 271 (C):18-42.
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  • Algorithms and mechanisms for procuring services with uncertain durations using redundancy.S. Stein, E. H. Gerding, A. C. Rogers, K. Larson & N. R. Jennings - 2011 - Artificial Intelligence 175 (14-15):2021-2060.
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  • A study of mechanisms for improving robotic group performance.Avi Rosenfeld, Gal A. Kaminka, Sarit Kraus & Onn Shehory - 2008 - Artificial Intelligence 172 (6-7):633-655.
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  • Planning as satisfiability: Heuristics.Jussi Rintanen - 2012 - Artificial Intelligence 193 (C):45-86.
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  • Automatic construction of optimal static sequential portfolios for AI planning and beyond.Sergio Núñez, Daniel Borrajo & Carlos Linares López - 2015 - Artificial Intelligence 226 (C):75-101.
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  • Alors: An algorithm recommender system.Mustafa Mısır & Michèle Sebag - 2017 - Artificial Intelligence 244:291-314.
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  • The algorithm selection competitions 2015 and 2017.Marius Lindauer, Jan N. van Rijn & Lars Kotthoff - 2019 - Artificial Intelligence 272 (C):86-100.
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  • Automatic construction of parallel portfolios via algorithm configuration.Marius Lindauer, Holger Hoos, Kevin Leyton-Brown & Torsten Schaub - 2017 - Artificial Intelligence 244 (C):272-290.
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  • SATenstein: Automatically building local search SAT solvers from components.Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos & Kevin Leyton-Brown - 2016 - Artificial Intelligence 232 (C):20-42.
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  • ASlib: A benchmark library for algorithm selection.Bernd Bischl, Pascal Kerschke, Lars Kotthoff, Marius Lindauer, Yuri Malitsky, Alexandre Fréchette, Holger Hoos, Frank Hutter, Kevin Leyton-Brown, Kevin Tierney & Joaquin Vanschoren - 2016 - Artificial Intelligence 237 (C):41-58.
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