3 citations · 9 across the 10 of their papers we have counts for
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A Neuro-Symbolic Framework for Sequence Classification with Relational and Temporal Knowledge
Luca Salvatore Lorello, Marco Lippi, Stefano Melacci
One of the goals of neuro-symbolic artificial intelligence is to exploit background knowledge to improve the performance of learning tasks. However, most of the existing frameworks…
The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns
Luca Salvatore Lorello, Marco Lippi, Stefano Melacci
Artificial intelligence is continuously seeking novel challenges and benchmarks to effectively measure performance and to advance the state-of-the-art. In this paper we introduce K…
Collectionless Artificial Intelligence
Marco Gori, Stefano Melacci
By and large, the professional handling of huge data collections is regarded as a fundamental ingredient of the progress of machine learning and of its spectacular results in relat…