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pietro.lio@uniroma1.it
Pietro Lio
Professore Ordinario
Struttura:
DIPARTIMENTO DI INGEGNERIA INFORMATICA, AUTOMATICA E GESTIONALE -ANTONIO RUBERTI-
E-mail:
pietro.lio@uniroma1.it
Pagina istituzionale corsi di laurea
Curriculum Sapienza
Pubblicazioni
Titolo
Pubblicato in
Anno
Multimodal and multicontrast image fusion via deep generative models
INFORMATION FUSION
2022
StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptides
METHODS
2022
SAPPHIRE: A stacking-based ensemble learning framework for accurate prediction of thermophilic proteins
COMPUTERS IN BIOLOGY AND MEDICINE
2022
AMYPred-FRL is a novel approach for accurate prediction of amyloid proteins by using feature representation learning
SCIENTIFIC REPORTS
2022
StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy
SCIENTIFIC REPORTS
2022
Early downregulation of hsa-miR-144-3p in serum from drug-naïve Parkinson’s disease patients
SCIENTIFIC REPORTS
2022
Metabolite and lipoprotein profiles reveal sex-related oxidative stress imbalance in de novo drug-naive Parkinson’s disease patients
NPJ PARKINSON'S DISEASE
2022
Cell graph neural networks enable the precise prediction of patient survival in gastric cancer
NPJ PRECISION ONCOLOGY
2022
3D Infomax improves GNNs for Molecular Property Prediction
International Conference on Machine Learning, 17-23 July 2022, Baltimore, Maryland, USA
2022
Entropy-Based Logic Explanations of Neural Networks
Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022
2022
AI-Based Reconstruction for Fast MRI-A Systematic Review and Meta-Analysis
PROCEEDINGS OF THE IEEE
2022
SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins
SCIENTIFIC REPORTS
2022
Modeling Brain–Heart Crosstalk Information in Patients with Traumatic Brain Injury
NEUROCRITICAL CARE
2022
Adversarial generation of gene expression data
BIOINFORMATICS
2022
SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino Acids
PHARMACEUTICS
2022
Transcriptional biomarkers of response to pharmacological treatments in severe mental disorders: A systematic review
EUROPEAN NEUROPSYCHOPHARMACOLOGY
2022
Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteins
EXCLI JOURNAL
2022
iAMAP-SCM: A Novel Computational Tool for Large-Scale Identification of Antimalarial Peptides Using Estimated Propensity Scores of Dipeptides
ACS OMEGA
2022
Heterogeneous Model Fusion Federated Learning Mechanism Based on Model Mapping
IEEE INTERNET OF THINGS JOURNAL
2022
Unsupervised construction of computational graphs for gene expression data with explicit structural inductive biases
BIOINFORMATICS
2022
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