Mario Manzo

According to our database, Mario Manzo authored at least 29 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adversarial attacks on graph-level embedding methods: a case study.

Maurizio Giordano, Lucia Maddalena, Mario Manzo, Mario Rosario Guarracino

Ann. Math. Artif. Intell., June, 2023

Integrating Different Data Modalities for the Classification of Alzheimer's Disease Stages.

Lucia Maddalena, Ilaria Granata, Maurizio Giordano, Mario Manzo, Mario Rosario Guarracino

SN Comput. Sci., May, 2023

2022

Netpro2vec: A Graph Embedding Framework for Biomedical Applications.

Ichcha Manipur, Mario Manzo, Ilaria Granata, Maurizio Giordano, Lucia Maddalena, Mario R. Guarracino

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Graph convolutional networks: analysis, improvements and results.

Ihsan Ullah, Mario Manzo, Mitul Shah, Michael G. Madden

Appl. Intell., 2022

Classifying Alzheimer's Disease using MRIs and Transcriptomic Data.

Lucia Maddalena, Ilaria Granata, Maurizio Giordano, Mario Manzo, Mario Rosario Guarracino, Alzheimer's Disease Neuroimaging Initiative

Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies, 2022

2021

Voting in Transfer Learning System for Ground-Based Cloud Classification.

Mario Manzo, Simone Pellino

Mach. Learn. Knowl. Extr., 2021

FastGCN + ARSRGemb: a novel framework for object recognition.

Mario Manzo, Simone Pellino

J. Electronic Imaging, 2021

Performance Evaluation of Adversarial Attacks on Whole-Graph Embedding Models.

Mario Manzo, Maurizio Giordano, Lucia Maddalena, Mario R. Guarracino

Proceedings of the Learning and Intelligent Optimization - 15th International Conference, 2021

2020

Dynamic graph convolutional networks.

Franco Manessi, Alessandro Rozza, Mario Manzo

Pattern Recognit., 2020

Attributed Relational SIFT-Based Regions Graph: Concepts and Applications.

Mario Manzo

Mach. Learn. Knowl. Extr., 2020

Bucket of Deep Transfer Learning Features and Classification Models for Melanoma Detection.

Mario Manzo, Simone Pellino

J. Imaging, 2020

A Framework Based on Metabolic Networks and Biomedical Images Data to Discriminate Glioma Grades.

Lucia Maddalena, Ilaria Granata, Ichcha Manipur, Mario Manzo, Mario R. Guarracino

Proceedings of the Biomedical Engineering Systems and Technologies, 2020

Glioma Grade Classification via Omics Imaging.

Lucia Maddalena, Ilaria Granata, Ichcha Manipur, Mario Manzo, Mario R. Guarracino

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2019

DOPSIE: Deep-Order Proximity and Structural Information Embedding.

Mario Manzo, Alessandro Rozza

Mach. Learn. Knowl. Extr., 2019

Bag of ARSRG Words (BoAW).

Mario Manzo, Simone Pellino

Mach. Learn. Knowl. Extr., 2019

KGEARSRG: Kernel Graph Embedding on Attributed Relational SIFT-Based Regions Graph.

Mario Manzo

Mach. Learn. Knowl. Extr., 2019

Graph-Based Image Matching for Indoor Localization.

Mario Manzo

Mach. Learn. Knowl. Extr., 2019

Attributed Relational SIFT-based Regions Graph (ARSRG): concepts and applications.

Mario Manzo

CoRR, 2019

Product And Process Integrated Design To Enhance Smart Manufacturing Systems.

Francesco Caputo, Mario Caterino, Alessandro De Luca, Marcello Fera, Alessandro Greco, Giuseppe Lamanna, Roberto MacChiaroli, Pasquale Manco, Mario Manzo, Donato Perfetto

Proceedings of the 33rd International ECMS Conference on Modelling and Simulation, 2019

2017

User Click Modeling on a Learning Management System.

Antonio Maratea, Alfredo Petrosino, Mario Manzo

Int. J. Hum. Cap. Inf. Technol. Prof., 2017

Extended Graph Backbone for Motif Analysis.

Antonio Maratea, Alfredo Petrosino, Mario Manzo

Proceedings of the 18th International Conference on Computer Systems and Technologies, 2017

2016

Triadic Motifs in the Partitioned World Trade Web.

Antonio Maratea, Alfredo Petrosino, Mario Manzo

Proceedings of the 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2016)/The 6th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2016)/Affiliated Workshops, 2016

2014

Adjusted F-measure and kernel scaling for imbalanced data learning.

Antonio Maratea, Alfredo Petrosino, Mario Manzo

Inf. Sci., 2014

A Novel Graph-Based Fisher Kernel Method for Semi-supervised Learning.

Alessandro Rozza, Mario Manzo, Alfredo Petrosino

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Novel Graph Embedding Framework for Object Recognition.

Mario Manzo, Simone Pellino, Alfredo Petrosino, Alessandro Rozza

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Attributed Relational SIFT-Based Regions Graph for Art Painting Retrieval.

Mario Manzo, Alfredo Petrosino

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Generation of description metadata for video files.

Antonio Maratea, Alfredo Petrosino, Mario Manzo

Proceedings of the Computer Systems and Technologies, 2013

2012

Integrating Navigational and Structural Information in SCORM Content Aggregation Modeling.

Antonio Maratea, Alfredo Petrosino, Mario Manzo

Proceedings of the 12th IEEE International Conference on Advanced Learning Technologies, 2012

Automatic generation of SCORM compliant metadata for portable document format files.

Antonio Maratea, Alfredo Petrosino, Mario Manzo

Proceedings of the 2012 Conference on Computer Systems and Technologies, 2012