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Peerj. Computer Science|September 24, 2024
Ten quick tips for electrocardiogram (ECG) signal processingDavide Chicco, Angeliki-Ilektra Karaiskou, Maarten De Vos
Frontiers in Neuroinformatics|January 6, 2025
hvEEGNet: a novel deep learning model for high-fidelity EEG reconstructionGiulia Cisotto, Alberto Zancanaro, Italo F Zoppis, et al.
Peerj. Computer Science|September 24, 2025
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clustersDavide Chicco, Giuseppe Sabino, Luca Oneto, et al.
PLOS Digital Health|March 15, 2024
Identifying prognostic factors for survival in intensive care unit patients with SIRS or sepsis by machine learning analysis on electronic health recordsMaximiliano Mollura, Davide Chicco, Alessia Paglialonga, et al.
Peerj. Computer Science|April 5, 2021
Supervised deep learning embeddings for the prediction of cervical cancer diagnosisKelwin Fernandes, Davide Chicco, Jaime S Cardoso, et al.
Biodata Mining|March 29, 2025
Multivariate longitudinal clustering reveals neuropsychological factors as dementia predictors in an Alzheimer's disease progression studyPatrizia Ribino, Claudia Di Napoli, Giovanni Paragliola, et al.
European Journal of Cancer (Oxford, England : 1990)|September 14, 2023
Computational intelligence analysis of high-risk neuroblastoma patient health records reveals time to maximum response as one of the most relevant factors for outcome predictionDavide Chicco, Riccardo Haupt, Alberto Garaventa, et al.
Biodata Mining|May 18, 2026
A novel Vector-Symbolic Architecture for graph encoding and its application to viral pangenome-based species classificationFabio Cumbo, Kabir Dhillon, Jayadev Joshi, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Deep Learning Techniques for Improving Digital Gait SegmentationMatteo Gadaleta, Giulia Cisotto, Michele Rossi, et al.
Biodata Mining|September 27, 2025
Temporal phenotyping and prognostic stratification of patients with sepsis through longitudinal clusteringPatrizia Ribino, Maria Mannone, Claudia Di Napoli, et al.
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