GIORDANO, MAURIZIO
GIORDANO, MAURIZIO
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR - Sede Secondaria Napoli
Advancing EEG-Based Emotion Recognition: Unleashing the Power of Graph Neural Networks for Dynamic and Topology-Aware Models
2024 Galluccio, Luigi; D'Errico, Lorenzo; Giordano, Maurizio; Staffa, Mariacarla
Context-specific essential genes identification and prediction by learning multi-omics and network data
2024 Giordano, Maurizio; Maddalena, Lucia; Manzo, Mario; Guarracino, MARIO ROSARIO; Granata, Ilaria
HELP: A computational framework for labelling and predicting human common and context-specific essential genes
2024 Granata, I.; Maddalena, L.; Manzo, M.; Guarracino, M. R.; Giordano, M.
HELP: Human Gene Essentiality Labelling & Prediction
2024 Giordano, Maurizio; Granata, Ilaria; Maddalena, Lucia
SVElearn: Machine learning methods for unbalanced datasets
2024 Giordano, Maurizio; Granata, Ilaria
Untangling the Context-Specificity of Essential Genes by Means of Machine Learning: A Constructive Experience
2024 Giordano, Maurizio; Falbo, Emanuele; Maddalena, Lucia; Piccirillo, Marina; Granata, Ilaria
Community Detection in Protein-Protein Interaction Networks and Applications
2023 Manipur, I; Giordano, M; Piccirillo, M; Parashuraman, S; Maddalena, L
Computational Data Science Approaches for Biomedical Images and Biological Data
2023 Antonelli, L; Falbo, E; Giordano, M; Granata, I; Guarracino, Mr; Maddalena, L
Integrating Different Data Modalities for the Classification of Alzheimer's Disease Stages
2023 Maddalena, L.; Granata, I.; Giordano, M.; Manzo, M.; Guarracino, M. R.
Network-based computational modeling to unravel gene essentiality
2023 Granata, I.; Giordano, M.; Maddalena, L.; Manzo, M.; Guarracino, M. R.
Novel Data Science Methodologies for Essential Genes Identification Based on Network Analysis
2023 Manzo, M; Giordano, M; Maddalena, L; Guarracino, M. R.; Granata, I
OI_AD
2023 Maddalena, L.; Granata, I.; Giordano, M.; Manzo, M.; Guarracino, M. R.
Results and lessons learned from the sbv IMPROVER metagenomics diagnostics for inflammatory bowel disease challenge
2023 Khachatryan, L.; Xiang, Y.; Ivanov, A.; Glaab, E.; Graham, G.; Granata, I.; Giordano, M.; Maddalena, L; Piccirillo, M; Manipur, I; Baruzzo, G.; Cappellato, M; Avot, B; Stan, A; Battey, J; Lo Sasso, G; Boue, S; Ivanov, N. V.; Peitsch, M. C.; Hoeng, J; Falquet, L; Di Camillo, B; Guarracino, M. R.; Ulyantsev, V; Sierro, N; Poussin, C
Adversarial attacks on graph-level embedding methods: a case study
2022 Giordano, Maurizio; Maddalena, Lucia; Manzo, Mario; Rosario Guarracino, Mario
Classifying Alzheimer's Disease using MRIs and Transcriptomic Data
2022 Maddalena, Lucia; Granata, Ilaria; Giordano, Maurizio; Manzo, Mario; Guarracino, Mario R.; Alzheimer's Disease Neuroimaging Initiative, (ADNI)
Met2Graph
2022 Granata, Ilaria; Giordano, Maurizio; Maddalena, Lucia
Netpro2vec: a Graph Embedding Framework for Biomedical Applications
2022 Manipur, I; Manzo, M; Granata, I; Giordano, M; Maddalena, L; Guarracino, Mr
Netpro2vec: a graph embedding technique based on probability distribution representations of graphs and skip-gram learning model
2022 Ichcha Manipur;Maurizio Giordano;Lucia Maddalena;Ilaria Granata
TumorMet: A repository of tumor metabolic networks derived from context-specific Genome-scale Metabolic Models
2022 Granata, Ilaria; Manipur, Ichcha; Giordano, Maurizio; Maddalena, Lucia; Guarracino, Mario
TumorMet: A repository of tumor metabolic networks derived from context-specific Genome-Scale Metabolic Models.
2022 Granata, I; Manipur, I; Giordano, M; Maddalena, L; Guarracino, Mr
Titolo | Data di pubblicazione | Autore(i) | File |
---|---|---|---|
Advancing EEG-Based Emotion Recognition: Unleashing the Power of Graph Neural Networks for Dynamic and Topology-Aware Models | 1-gen-2024 | Galluccio, Luigi; D'Errico, Lorenzo; Giordano, Maurizio; Staffa, Mariacarla | |
Context-specific essential genes identification and prediction by learning multi-omics and network data | 1-gen-2024 | Giordano, Maurizio; Maddalena, Lucia; Manzo, Mario; Guarracino, MARIO ROSARIO; Granata, Ilaria | |
HELP: A computational framework for labelling and predicting human common and context-specific essential genes | 1-gen-2024 | Granata, I.; Maddalena, L.; Manzo, M.; Guarracino, M. R.; Giordano, M. | |
HELP: Human Gene Essentiality Labelling & Prediction | 1-gen-2024 | Giordano, Maurizio; Granata, Ilaria; Maddalena, Lucia | |
SVElearn: Machine learning methods for unbalanced datasets | 1-gen-2024 | Giordano, Maurizio; Granata, Ilaria | |
Untangling the Context-Specificity of Essential Genes by Means of Machine Learning: A Constructive Experience | 1-gen-2024 | Giordano, Maurizio; Falbo, Emanuele; Maddalena, Lucia; Piccirillo, Marina; Granata, Ilaria | |
Community Detection in Protein-Protein Interaction Networks and Applications | 1-gen-2023 | Manipur, I; Giordano, M; Piccirillo, M; Parashuraman, S; Maddalena, L | |
Computational Data Science Approaches for Biomedical Images and Biological Data | 1-gen-2023 | Antonelli, L; Falbo, E; Giordano, M; Granata, I; Guarracino, Mr; Maddalena, L | |
Integrating Different Data Modalities for the Classification of Alzheimer's Disease Stages | 1-gen-2023 | Maddalena, L.; Granata, I.; Giordano, M.; Manzo, M.; Guarracino, M. R. | |
Network-based computational modeling to unravel gene essentiality | 1-gen-2023 | Granata, I.; Giordano, M.; Maddalena, L.; Manzo, M.; Guarracino, M. R. | |
Novel Data Science Methodologies for Essential Genes Identification Based on Network Analysis | 1-gen-2023 | Manzo, M; Giordano, M; Maddalena, L; Guarracino, M. R.; Granata, I | |
OI_AD | 1-gen-2023 | Maddalena, L.; Granata, I.; Giordano, M.; Manzo, M.; Guarracino, M. R. | |
Results and lessons learned from the sbv IMPROVER metagenomics diagnostics for inflammatory bowel disease challenge | 1-gen-2023 | Khachatryan, L.; Xiang, Y.; Ivanov, A.; Glaab, E.; Graham, G.; Granata, I.; Giordano, M.; Maddalena, L; Piccirillo, M; Manipur, I; Baruzzo, G.; Cappellato, M; Avot, B; Stan, A; Battey, J; Lo Sasso, G; Boue, S; Ivanov, N. V.; Peitsch, M. C.; Hoeng, J; Falquet, L; Di Camillo, B; Guarracino, M. R.; Ulyantsev, V; Sierro, N; Poussin, C | |
Adversarial attacks on graph-level embedding methods: a case study | 1-gen-2022 | Giordano, Maurizio; Maddalena, Lucia; Manzo, Mario; Rosario Guarracino, Mario | |
Classifying Alzheimer's Disease using MRIs and Transcriptomic Data | 1-gen-2022 | Maddalena, Lucia; Granata, Ilaria; Giordano, Maurizio; Manzo, Mario; Guarracino, Mario R.; Alzheimer's Disease Neuroimaging Initiative, (ADNI) | |
Met2Graph | 1-gen-2022 | Granata, Ilaria; Giordano, Maurizio; Maddalena, Lucia | |
Netpro2vec: a Graph Embedding Framework for Biomedical Applications | 1-gen-2022 | Manipur, I; Manzo, M; Granata, I; Giordano, M; Maddalena, L; Guarracino, Mr | |
Netpro2vec: a graph embedding technique based on probability distribution representations of graphs and skip-gram learning model | 1-gen-2022 | Ichcha Manipur;Maurizio Giordano;Lucia Maddalena;Ilaria Granata | |
TumorMet: A repository of tumor metabolic networks derived from context-specific Genome-scale Metabolic Models | 1-gen-2022 | Granata, Ilaria; Manipur, Ichcha; Giordano, Maurizio; Maddalena, Lucia; Guarracino, Mario | |
TumorMet: A repository of tumor metabolic networks derived from context-specific Genome-Scale Metabolic Models. | 1-gen-2022 | Granata, I; Manipur, I; Giordano, M; Maddalena, L; Guarracino, Mr |