Andrea Apicella

A simple and efficient architecture for trainable activation functions

Francesco Isgrò, Roberto Prevete, Andrea Apicella, 2019, Neurocomputing.

Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification

Giuseppe Vettigli, Anna Corazza, Francesco Isgrò, 2018, Inf..

A survey on modern trainable activation functions pdf

Roberto Prevete, Francesco Donnarumma, Andrea Apicella, 2020, Neural Networks.

Integrating a Priori Probabilistic Knowledge into Classification for Image Description

Giuseppe Vettigli, Anna Corazza, Francesco Isgrò, 2017, 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE).

Preliminary validation of a measurement system for emotion recognition

Pasquale Arpaia, Roberto Prevete, Nicola Moccaldi, 2020, 2020 IEEE International Symposium on Medical Measurements and Applications (MeMeA).

Sparse Dictionaries for the Explanation of Classification Systems

Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini, 2019, PIE@CAiSE.

Exploiting Context Information for Image Description

Giuseppe Vettigli, Anna Corazza, Francesco Isgrò, 2017, ICIAP.

A general approach to compute the relevance of middle-level input features pdf

Roberto Prevete, Andrea Apicella, Francesco Isgro, 2020, ArXiv.

Contrastive Explanations to Classification Systems Using Sparse Dictionaries

Francesco Isgrò, Roberto Prevete, Guglielmo Tamburrini, 2019, ICIAP.

Improving Face Recognition in Low Quality Video Sequences: Single Frame vs Multi-frame Super-Resolution

Daniel Riccio, Francesco Isgrò, Andrea Apicella, 2017, ICIAP.