Schlüter F, Bromberg F, Pérez DS.  2010.  Speeding up the execution of a large number of statistical tests of independence. Proceedings of ASAI 2010, Argentinean Symposioum of Artificial Intelligence.

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Schlüter F, Bromberg F, Abraham L.  2011.  Strategies for piecing-together Local-to-Global Markov network learning algorithms. ASAI 2011.

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Schlüter F, Hermida RSantana, Lozano JAntonio.  2016.  An analysis of the impact of Kikuchi approximations.

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Schlüter F.  2012.  A survey on independence-based Markov networks learning. Artificial Intelligence Review. 42(4):1093.

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Schlüter F, Strappa Y, Bromberg F, Milone DH.  2017.  Blankets Joint Posterior score for learning Markov network structures . International Journal of Approximate Reasoning. https://doi.org/10.1016/j.ijar.2017.10.018

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Schlüter F, Bromberg F, Edera A.  2014.  The IBMAP approach for Markov network structure learning. Annals of Mathematics and Artificial Intelligence. 72(3):197--223.

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Schlüter F, Bromberg F.  2014.  El enfoque IBMAP para aprendizaje de estructuras de redes de Markov. Tesis doctoral en Facultad de Ciencias Exactas - Universidad Nacional del Centro de la Provincia de Buenos Aires. Director: Facundo Bromberg. . Doctorado en Ciencias de la Computación (PhD in Computer Science):138.

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