Radiomics & Federated Learning
Pian Qi, Diletta Chiaro, Antonella Guzzo, Michele Ianni, Giancarlo Fortino, Francesco Piccialli:
Model aggregation techniques in federated learning: A comprehensive survey. Future Gener. Comput. Syst. 150: 272-293 (2024)
Saidi Guo, Heye Zhang, Yifeng Gao, Hui Wang, Lei Xu, Zhifan Gao, Antonella Guzzo, Giancarlo Fortino:
Survival prediction of heart failure patients using motion-based analysis method. Comput. Methods Programs Biomed. 236: 107547 (2023)
Saidi Guo, Xiujian Liu, Heye Zhang, Qixin Lin, Lei Xu, Changzheng Shi, Zhifan Gao, Antonella Guzzo, Giancarlo Fortino: Causal knowledge fusion for 3D cross-modality cardiac image segmentation. Inf. Fusion 99: 101864 (2023)
Antonella Guzzo, Giancarlo Fortino, Gianluigi Greco, Marcello Maggiolini:
Data and model aggregation for radiomics applications: Emerging trend and open challenges. Inf. Fusion 100: 101923 (2023)
Asaf Raza, Antonella Guzzo, Giancarlo Fortino: Federated Learning for Medical Images Analysis: A Meta Survey. DASC/PiCom/CBDCom/CyberSciTech 2023: 531-536
Eugenio Cesario, Carmela Comito, Ester Zumpano, A survey of the recent trends in deep learning for literature based discovery in the biomedical domain, Neurocomputing, 2023,127079, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2023.127079.
Luciano Caroprese, Tommaso Ruga, Eugenio Vocaturo, and Ester Zumpano, “Federated Learning Applications for Breast Cancer” 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)https://www.computer.org/csdl/proceedings/bibm/2023/1TOaCOe17jO
Luciano Caroprese, Tommaso Ruga, Eugenio Vocaturo, and Ester Zumpano, “Lung Cancer Detection via Federated Learning” 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)https://www.computer.org/csdl/proceedings/bibm/2023/1TOaCOe17jO
Luciano Caroprese, Tommaso Ruga, Eugenio Vocaturo, and Ester Zumpano, “Revealing Brain Tumor with Federated Learning” 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)https://www.computer.org/csdl/proceedings/bibm/2023/1TOaCOe17jO
Electronics & Electrical Engineering
I.Ahmed, E.Balestrieri, P.Daponte, F.Lamonaca, “A Method Based on Ellipse Fitting for Automatic Morphometric Parameter Measurements of Fish Blood Cells,” 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Jeju, Korea, Republic of, 2023, pp. 1-6, doi: 10.1109/MeMeA57477.2023.10171881.
F.Lamonaca, D.L.Carnì, “Synergizing Measurement Science and Artificial Intelligence in Smart Agriculture”, 2023 IEEE International Conference on BigData, – AI-driven Agriculture: Opportunities and Challenges (AIDA), Sorrento (Italy), December 16-18, 2023, pp. 1-7.
M. Ambrosanio, M. T. Bevacqua, J. LoVetri, V. Pascazio and T. Isernia, “In-vivo Electrical Properties Estimation of Biological Tissues by means of a multi-step Microwave Tomography Approach,” in IEEE Transactions on Medical Imaging, doi: 10.1109/TMI.2024.3354463.
Computer Science
Mario Alviano: Hashcash Tree, a Data Structure to Mitigate Denial-of-Service Attacks. Algorithms 16(10): 462 (2023)
Mario Alviano, Laura Giordano, Daniele Theseider Dupré: Preferential Temporal Description Logics with Typicality and Weighted Knowledge Bases. CILC 2023
Mario Alviano, Ly Ly T. Trieu, Tran Cao Son, Marcello Balduccini: Advancements in xASP, an XAI System for Answer Set Programming. CILC 2023
Mario Alviano, Davide Cirimele, Luis Angel Rodriguez Reiners: Introducing ASP recipes and ASP Chef. ICLP Workshops 2023
Mario Alviano, Ly Ly T. Trieu, Tran Cao Son, Marcello Balduccini: Explanations for Answer Set Programming. ICLP 2023: 27-40
Mario Alviano, Giovambattista Ianni, Francesco Pacenza, Jessica Zangari: Rethinking Answer Set Programming Templates. PADL 2024
Mario Alviano, Danilo Amendola, Luis Angel Rodriguez Reiners: Marketplace Logistics via Answer Set Programming. PADL 2024