Automatic generation of SCORM compliant metadata for portable document format files. - Antonio Maratea; Alfredo Petrosino; Mario Manzo (CompSysTech, 2012)

Integrating Navigational and Structural Information in SCORM Content Aggregation Modeling. - Antonio Maratea; Alfredo Petrosino; Mario Manzo (ICALT, 2012)

Generation of description metadata for video files. - Antonio Maratea; Alfredo Petrosino; Mario Manzo (CompSysTech, 2013)

Attributed Relational SIFT-Based Regions Graph for Art Painting Retrieval. - Mario Manzo; Alfredo Petrosino (ICIAP (1), 2013)

A Novel Graph Embedding Framework for Object Recognition. - Mario Manzo; Simone Pellino; Alfredo Petrosino; Alessandro Rozza (ECCV Workshops (4), 2014)

A Novel Graph-Based Fisher Kernel Method for Semi-supervised Learning. - Alessandro Rozza; Mario Manzo; Alfredo Petrosino (ICPR, 2014)

Adjusted F-measure and kernel scaling for imbalanced data learning. - Antonio Maratea; Alfredo Petrosino; Mario Manzo (Inf. Sci., 2014)

Triadic Motifs in the Partitioned World Trade Web. - Antonio Maratea; Alfredo Petrosino; Mario Manzo (EUSPN/ICTH, 2016)

Extended Graph Backbone for Motif Analysis. - Antonio Maratea; Alfredo Petrosino; Mario Manzo (CompSysTech, 2017)

User Click Modeling on a Learning Management System. - Antonio Maratea; Alfredo Petrosino; Mario Manzo (Int. J. Hum. Cap. Inf. Technol. Prof., 2017)

Product And Process Integrated Design To Enhance Smart Manufacturing Systems. - Francesco Caputo; Mario Caterino; Alessandro De Luca 004; Marcello Fera; Alessandro Greco; Giuseppe Lamanna; Roberto MacChiaroli; Pasquale Manco; Mario Manzo; Donato Perfetto (ECMS, 2019)

Attributed Relational SIFT-based Regions Graph (ARSRG): concepts and applications. - Mario Manzo (CoRR, 2019)

Graph-Based Image Matching for Indoor Localization. - Mario Manzo (Mach. Learn. Knowl. Extr., 2019)

KGEARSRG: Kernel Graph Embedding on Attributed Relational SIFT-Based Regions Graph. - Mario Manzo (Mach. Learn. Knowl. Extr., 2019)

Bag of ARSRG Words (BoAW). - Mario Manzo; Simone Pellino (Mach. Learn. Knowl. Extr., 2019)

DOPSIE: Deep-Order Proximity and Structural Information Embedding. - Mario Manzo; Alessandro Rozza (Mach. Learn. Knowl. Extr., 2019)

Glioma Grade Classification via Omics Imaging. - Lucia Maddalena 001; Ilaria Granata; Ichcha Manipur; Mario Manzo; Mario R. Guarracino (BIOIMAGING, 2020)

A Framework Based on Metabolic Networks and Biomedical Images Data to Discriminate Glioma Grades. - Lucia Maddalena 001; Ilaria Granata; Ichcha Manipur; Mario Manzo; Mario R. Guarracino (BIOSTEC (Selected Papers), 2020)

Bucket of Deep Transfer Learning Features and Classification Models for Melanoma Detection. - Mario Manzo; Simone Pellino (J. Imaging, 2020)

Attributed Relational SIFT-Based Regions Graph: Concepts and Applications. - Mario Manzo (Mach. Learn. Knowl. Extr., 2020)

Dynamic graph convolutional networks. - Franco Manessi; Alessandro Rozza; Mario Manzo (Pattern Recognit., 2020)

Performance Evaluation of Adversarial Attacks on Whole-Graph Embedding Models. - Mario Manzo; Maurizio Giordano; Lucia Maddalena 001; Mario R. Guarracino (LION, 2021)

FastGCN + ARSRGemb: a novel framework for object recognition. - Mario Manzo; Simone Pellino (J. Electronic Imaging, 2021)

Voting in Transfer Learning System for Ground-Based Cloud Classification. - Mario Manzo; Simone Pellino (Mach. Learn. Knowl. Extr., 2021)

Classifying Alzheimer's Disease using MRIs and Transcriptomic Data. - Lucia Maddalena 001; Ilaria Granata; Maurizio Giordano; Mario Manzo; Mario Rosario Guarracino; Alzheimer's Disease Neuroimaging Initiative (BIOIMAGING, 2022)

Graph convolutional networks: analysis, improvements and results. - Ihsan Ullah 002; Mario Manzo; Mitul Shah; Michael G. Madden (Appl. Intell., 2022)

Netpro2vec: A Graph Embedding Framework for Biomedical Applications. - Ichcha Manipur; Mario Manzo; Ilaria Granata; Maurizio Giordano; Lucia Maddalena 001; Mario R. Guarracino (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Integrating Different Data Modalities for the Classification of Alzheimer's Disease Stages. - Lucia Maddalena 001; Ilaria Granata; Maurizio Giordano; Mario Manzo; Mario Rosario Guarracino (SN Comput. Sci., 2023)

Adversarial attacks on graph-level embedding methods: a case study. - Maurizio Giordano; Lucia Maddalena 001; Mario Manzo; Mario Rosario Guarracino (Ann. Math. Artif. Intell., 2023)

HELP: A computational framework for labelling and predicting human common and context-specific essential genes. - Ilaria Granata; Lucia Maddalena 001; Mario Manzo; Mario Rosario Guarracino; Maurizio Giordano (PLoS Comput. Biol., 2024)