Pubblicazioni

Protocol to explain support vector machine predictions via exact Shapley value computation

2024 - STAR PROTOCOLS
Mastropietro, Andrea; Bajorath, Jürgen

Separability and Its Approximations in Ontology-based Data Management

2024 - SEMANTIC WEB
Cima, Gianluca; Croce, Federico; Lenzerini, Maurizio

Convergent Approaches to AI Explainability for HEP Muonic Particles Pattern Recognition

2023 - COMPUTING AND SOFTWARE FOR BIG SCIENCE
Maglianella, L.; Nicoletti, L.; Giagu, S.; Napoli, C.; Scardapane, S.

Explainable AI in drug discovery: self-interpretable graph neural network for molecular property prediction using concept whitening

2023 - MACHINE LEARNING
Proietti, Michela; Ragno, Alessio; Rosa, Biagio La; Ragno, Rino; Capobianco, Roberto

Learning characteristics of graph neural networks predicting protein–ligand affinities

2023 - NATURE MACHINE INTELLIGENCE
Mastropietro, Andrea; Pasculli, Giuseppe; Bajorath, Jürgen

Calculation of exact Shapley values for explaining support vector machine models using the radial basis function kernel

2023 - SCIENTIFIC REPORTS
Mastropietro, Andrea; Feldmann, Christian; Bajorath, Jürgen

Real-world data to build explainable trustworthy artificial intelligence models for prediction of immunotherapy efficacy in NSCLC patients

2023 - FRONTIERS IN ONCOLOGY
Prelaj, Arsela; Galli, Edoardo Gregorio; Miskovic, Vanja; Pesenti, Mattia; Viscardi, Giuseppe; Pedica, Benedetta; Mazzeo, Laura; Bottiglieri, Achille; Provenzano, Leonardo; Spagnoletti, Andrea; Marinacci, Roberto; De Toma, Alessandro; Proto, Claudia; Ferrara, Roberto; Brambilla, Marta; Occhipinti, Mario; Manglaviti, Sara; Galli, Giulia; Signorelli, Diego; Giani, Claudia; Beninato, Teresa; Pircher, Chiara Carlotta; Rametta, Alessandro; Kosta, Sokol; Zanitti, Michele; Di Mauro, Maria Rosa; Rinaldi, Arturo; Di Gregorio, Settimio; Antonia, Martinetti; Garassino, Marina Chiara; de Braud, Filippo G M; Restelli, Marcello; Lo Russo, Giuseppe; Ganzinelli, Monica; Trovò, Francesco; Pedrocchi, Alessandra Laura Giulia

An Explainable Fake News Detector Based on Named Entity Recognition and Stance Classification Applied to COVID-19

2022 - INFORMATION
De Magistris, Giorgio; Russo, Samuele; Roma, Paolo; Starczewski, Janusz T.; Napoli, Christian

A Discussion about Explainable Inference on Sequential Data via Memory-Tracking

2022 - CEUR Workshop Proceedings
La Rosa, B.; Capobianco, R.; Nardi, D.

EdgeSHAPer: Bond-Centric Shapley Value-Based Explanation Method for Graph Neural Networks

2022 - ISCIENCE
Mastropietro, Andrea; Pasculli, Giuseppe; Feldmann, Christian; Rodríguezpérez, Raquel; Bajorath, Jürgen

A Granular Computing Approach for Multi-Labelled Sequences Classification in IEEE 802.11 Networks

2022 - Proc. of 2022 International Joint Conference on Neural Networks (IJCNN)
Granato, Giuseppe; Martino, Alessio; Rizzi, Antonello

KERMIT for Sentiment Analysis in Italian Healthcare Reviews

2022 - Italian Conference on Computational Linguistics 2021
Ranaldi, Leonardo; Mastromattei, Michele; Onorati, Dario; Sofia Ruzzetti, Elena; Fallucchi, Francesca; Massimo Zanzotto, Fabio

Features and explainable methods for cytokines analysis of Dry Eye Disease in HIV infected patients

2021 - HEALTHCARE ANALYTICS
Curia, Francesco

An ecology-based index for text embedding and classification

2020 - Proceedings of the International Joint Conference on Neural Networks
Martino, Alessio; De Santis, Enrico; Rizzi, Antonello

Pat-in-the-loop: Syntax-based neural networks with activation visualization and declarative control

2020 - CEUR Workshop Proceedings
Zanzotto, F. M.; Onorati, D.; Tommasino, P.; Santilli, A.; Ranaldi, L.; Fallucchi, F.

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