[1] Fabrizio Riguzzi. ALLPAD: Approximate learning of logic programs with annotated disjunctions. In Stephen Muggleton and Ramon Otero, editors, Proceedings of the 16th International Conference on Inductive Logic Programming, volume 4455 of Lecture Notes in Artificial Intelligence, pages 43-45, Heidelberg, Germany, 2007. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib | DOI | http | .pdf ]
[2] Evelina Lamma, Paola Mello, Marco Montali, Fabrizio Riguzzi, and Sergio Storari. Inducing declarative logic-based models from labeled traces. In Proceedings of the 5th International Conference on Business Process Management, volume 4714 of Lecture Notes in Computer Science, pages 344-359, Heidelberg, Germany, 2007. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib | DOI | http | .pdf ]
[3] Evelina Lamma, Fabrizio Riguzzi, Sergio Storari, Paola Mello, and Marco Montali. Learning decserflow models from labeled traces. In Proceedings of the 1st International Workshop on the Induction of Process Models, 2007. [ bib | .pdf ]
[4] Fabrizio Riguzzi. A top down interpreter for LPAD and CP-logic. In Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence, volume 4733 of Lecture Notes in Artificial Intelligence, pages 109-120, Heidelberg, Germany, 2007. © Springer, Springer. The original publication is available at http://www.springerlink.com. [ bib | DOI | http | .pdf ]
[5] Fabrizio Riguzzi. A top down interpreter for LPAD and CP-logic. In Proceedings of the 14th RCRA workshop Experimental Evaluation of Algorithms for Solving Problems with Combinatorial Explosion, 2007. [ bib | .pdf ]
[6] Fabrizio Riguzzi. Learning ground problog programs from interpretations. In Proceedings of the 6th Workshop on Multi-Relational Data Mining (MRDM07), 2007. [ bib | .pdf ]
[7] Giacomo Gamberoni, Evelina Lamma, Fabrizio Riguzzi, Sergio Storari, and Chiara Scapoli. Combining apriori and bootstrap techniques for marker analysis. In Proceedings of the Workshop Data Mining in Functional Genomics and Proteomics: Current Trends and Future Directions, 2007. [ bib | .pdf ]

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