On the Readability of Deep Learning Models: the role of Kernel-based Deep Architectures. - Danilo Croce; Daniele Rossini; Roberto Basili 001 (CLiC-it, 2018)

Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures. - Danilo Croce; Daniele Rossini; Roberto Basili 001 (BlackboxNLP@EMNLP, 2018)

Auditing Deep Learning processes through Kernel-based Explanatory Models. - Danilo Croce; Daniele Rossini; Roberto Basili 001 (IIR, 2019)

Neural embeddings: accurate and readable inferences based on semantic kernels. - Danilo Croce; Daniele Rossini; Roberto Basili 001 (Nat. Lang. Eng., 2019)

Actionable Ethics through Neural Learning. - Daniele Rossini; Danilo Croce; Sara Mancini; Massimo Pellegrino; Roberto Basili 001 (AAAI, 2020)