Pietro Lio | Ricerc@Sapienza

Pubblicazioni

Titolo	Pubblicato in	Anno
Deep Graph Mapper: Seeing Graphs Through the Neural Lens	FRONTIERS IN BIG DATA	2021
Heterogeneity of prodromal Parkinson symptoms in siblings of Parkinson disease patients	NPJ PARKINSON'S DISEASE	2021
Modeling Social Groups, Policies and Cognitive Behavior in COVID-19 Epidemic Phases. Basic Scenarios	SUBSTANTIA	2021
Cosmonet: An r package for survival analysis using screening-network methods	MATHEMATICS	2021
Analysis of single-cell RNA sequencing data based on autoencoders	BMC BIOINFORMATICS	2021
Analysis of Cardio-Cerebral Crosstalk Events in an Adult Cohort from the CENTER-TBI Study	Acta Neurochirurgica, Supplementum	2021
Deep Learning for Protein–Protein Interaction Site Prediction	Methods in Molecular Biology	2021
A geroscience approach for Parkinson's disease: Conceptual framework and design of PROPAG-AGEING project	MECHANISMS OF AGEING AND DEVELOPMENT	2021
Horizontal gene transfer and silver nanoparticles production in a new Marinomonas strain isolated from the Antarctic psychrophilic ciliate Euplotes focardii	SCIENTIFIC REPORTS	2020
PECLIDES Neuro: A Personalisable Clinical Decision Support System for Neurological Diseases	FRONTIERS IN ARTIFICIAL INTELLIGENCE	2020
An Asynchronous Federated Learning Mechanism for Edge Network Computing	JISUANJI YANJIU YU FAZHAN	2020
A Novel Methodology for designing Policies in Mobile Crowdsensing Systems	PERVASIVE AND MOBILE COMPUTING	2020
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients	EXPERT SYSTEMS WITH APPLICATIONS	2020
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation	SCIENTIFIC REPORTS	2020
Domain-oriented topic discovery based on features extraction and topic clustering	IEEE ACCESS	2020
DADIM: A distance adjustment dynamic influence map model	FUTURE GENERATION COMPUTER SYSTEMS	2020
ChronoMID—Cross-modal neural networks for 3-D temporal medical imaging data	PLOS ONE	2020
XFlow: Cross-Modal Deep Neural Networks for Audiovisual Classification	IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS	2020
Privacy-preserving asynchronous federated learning mechanism for edge network computing	IEEE ACCESS	2020
Unsupervised generative and graph representation learning for modelling cell differentiation	SCIENTIFIC REPORTS	2020