ILP Best Paper Awards
Best paper awards are an old tradition for the ILP conference, constantly supported over the years by Springer and the Machine Learning journal. This year we have three best paper awards, one for a best ILP paper and two for the best student papers.
The ILP best paper award goes to:
Tony Ribeiro, Maxime Folschette, Morgan Magnin and Katsumi Inoue Learning Any Memoryless Discrete Semantics for Dynamical Systems Represented by Logic Programs
The ILP best student paper awards go to:
Best student paper (journal track): Stassa Patsantzis, Stephen H. Muggleton Top Program Construction and Reduction for Polynomial Time Meta-Interpretive Learning
Best student paper (conference track): Thais Luca, Aline Paes and Gerson Zaverucha Mapping Across Relational Domains for Transfer Learning with Word Embeddings-based Similarity