1 code implementation • 28 Dec 2023 • Stefano Fiorini, Stefano Coniglio, Michele Ciavotta, Enza Messina
We introduce QuaterGCN, a spectral Graph Convolutional Network (GCN) with quaternion-valued weights at whose core lies the Quaternionic Laplacian, a quaternion-valued Laplacian matrix by whose proposal we generalize two widely-used Laplacian matrices: the classical Laplacian (defined for undirected graphs) and the complex-valued Sign-Magnetic Laplacian (proposed to handle digraphs with weights of arbitrary sign).
no code implementations • 7 Dec 2023 • Xuejiao Tang, Jiong Qiu, Wenbin Zhang, Ibrahim Toure, Mingli Zhang, Enza Messina, Xueping Xie, Xuebing Wang, Sheng Yu
Accountability in the workplace is critically important and remains a challenging problem, especially with respect to workplace safety management.
1 code implementation • 26 May 2022 • Stefano Fiorini, Stefano Coniglio, Michele Ciavotta, Enza Messina
$L^{\sigma}$ is also completely parameter-free, which is not the case of other Laplacian operators such as, e. g., the Magnetic Laplacian.
no code implementations • 6 Dec 2020 • Xuejiao Tang, Liuhua Zhang, Wenbin Zhang, Xin Huang, Vasileios Iosifidis, Zhen Liu, Mingli Zhang, Enza Messina, Ji Zhang
Early detection of breast cancer in X-ray mammography is believed to have effectively reduced the mortality rate.
1 code implementation • 1 Feb 2020 • Silvia Terragni, Elisabetta Fersini, Enza Messina
Relational topic models (RTM) have been widely used to discover hidden topics in a collection of networked documents.
no code implementations • 11 Jun 2019 • Antonio Candelieri, Stanislav Fedorov, Enza Messina
This paper presents an efficient approach for subsequence search in data streams.
no code implementations • EACL 2017 • Debora Nozza, Elisabetta Fersini, Enza Messina
Sentiment Analysis is a broad task that involves the analysis of various aspect of the natural language text.
no code implementations • EACL 2017 • Debora Nozza, Fausto Ristagno, Matteo Palmonari, Elisabetta Fersini, Manch, Pikakshi a, Enza Messina
In this paper we present TWINE, a real-time system for the big data analysis and exploration of information extracted from Twitter streams.