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Mario Manzo
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2020 – today
- 2023
- [j15]Maurizio Giordano
, Lucia Maddalena
Adversarial attacks on graph-level embedding methods: a case study. Ann. Math. Artif. Intell. 91(2-3): 259-285 (2023) - [j14]Lucia Maddalena
Integrating Different Data Modalities for the Classification of Alzheimer's Disease Stages. SN Comput. Sci. 4(3): 249 (2023) - 2022
- [j13]Ihsan Ullah
Graph convolutional networks: analysis, improvements and results. Appl. Intell. 52(8): 9033-9044 (2022) - [j12]Ichcha Manipur
Netpro2vec: A Graph Embedding Framework for Biomedical Applications. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 729-740 (2022) - [c13]Lucia Maddalena
Classifying Alzheimer's Disease using MRIs and Transcriptomic Data. BIOIMAGING 2022: 70-79 - 2021
- [j11]Mario Manzo, Simone Pellino:
FastGCN + ARSRGemb: a novel framework for object recognition. J. Electronic Imaging 30(3) (2021) - [j10]Mario Manzo
Voting in Transfer Learning System for Ground-Based Cloud Classification. Mach. Learn. Knowl. Extr. 3(3): 542-553 (2021) - [c12]Mario Manzo, Maurizio Giordano
Performance Evaluation of Adversarial Attacks on Whole-Graph Embedding Models. LION 2021: 219-236 - [i5]Mario Manzo, Simone Pellino:
Voting in Transfer Learning System for Ground-Based Cloud Classification. CoRR abs/2103.04667 (2021) - 2020
- [j9]Mario Manzo
Bucket of Deep Transfer Learning Features and Classification Models for Melanoma Detection. J. Imaging 6(12): 129 (2020) - [j8]Mario Manzo
Attributed Relational SIFT-Based Regions Graph: Concepts and Applications. Mach. Learn. Knowl. Extr. 2(3): 233-255 (2020) - [j7]Franco Manessi, Alessandro Rozza
Dynamic graph convolutional networks. Pattern Recognit. 97 (2020) - [c11]Lucia Maddalena
Glioma Grade Classification via Omics Imaging. BIOIMAGING 2020: 82-92 - [c10]Lucia Maddalena
A Framework Based on Metabolic Networks and Biomedical Images Data to Discriminate Glioma Grades. BIOSTEC (Selected Papers) 2020: 165-189 - [i4]Mario Manzo, Simone Pellino:
Bucket of deep transfer learning features and classification models for melanoma detection. CoRR abs/2009.08639 (2020)
2010 – 2019
- 2019
- [j6]Mario Manzo
DOPSIE: Deep-Order Proximity and Structural Information Embedding. Mach. Learn. Knowl. Extr. 1(2): 684-697 (2019) - [j5]Mario Manzo
Graph-Based Image Matching for Indoor Localization. Mach. Learn. Knowl. Extr. 1(3): 785-804 (2019) - [j4]Mario Manzo
Bag of ARSRG Words (BoAW). Mach. Learn. Knowl. Extr. 1(3): 871-882 (2019) - [j3]Mario Manzo
KGEARSRG: Kernel Graph Embedding on Attributed Relational SIFT-Based Regions Graph. Mach. Learn. Knowl. Extr. 1(3): 962-973 (2019) - [c9]Francesco Caputo
Product And Process Integrated Design To Enhance Smart Manufacturing Systems. ECMS 2019: 213-218 - [i3]Ihsan Ullah, Mario Manzo, Mitul Shah, Michael G. Madden:
Graph Convolutional Networks: analysis, improvements and results. CoRR abs/1912.09592 (2019) - [i2]Mario Manzo:
Attributed Relational SIFT-based Regions Graph (ARSRG): concepts and applications. CoRR abs/1912.09972 (2019) - 2017
- [j2]Antonio Maratea, Alfredo Petrosino, Mario Manzo
User Click Modeling on a Learning Management System. Int. J. Hum. Cap. Inf. Technol. Prof. 8(4): 38-49 (2017) - [c8]Antonio Maratea, Alfredo Petrosino, Mario Manzo
Extended Graph Backbone for Motif Analysis. CompSysTech 2017: 36-43 - [i1]Franco Manessi, Alessandro Rozza, Mario Manzo:
Dynamic Graph Convolutional Networks. CoRR abs/1704.06199 (2017) - 2016
- [c7]Antonio Maratea, Alfredo Petrosino, Mario Manzo
Triadic Motifs in the Partitioned World Trade Web. EUSPN/ICTH 2016: 479-484 - 2014
- [j1]Antonio Maratea, Alfredo Petrosino, Mario Manzo
Adjusted F-measure and kernel scaling for imbalanced data learning. Inf. Sci. 257: 331-341 (2014) - [c6]Mario Manzo
A Novel Graph Embedding Framework for Object Recognition. ECCV Workshops (4) 2014: 341-352 - [c5]Alessandro Rozza, Mario Manzo
A Novel Graph-Based Fisher Kernel Method for Semi-supervised Learning. ICPR 2014: 3786-3791 - 2013
- [c4]Antonio Maratea, Alfredo Petrosino, Mario Manzo
Generation of description metadata for video files. CompSysTech 2013: 262-269 - [c3]Mario Manzo
Attributed Relational SIFT-Based Regions Graph for Art Painting Retrieval. ICIAP (1) 2013: 833-842 - 2012
- [c2]Antonio Maratea, Alfredo Petrosino, Mario Manzo
Automatic generation of SCORM compliant metadata for portable document format files. CompSysTech 2012: 360-367 - [c1]Antonio Maratea, Alfredo Petrosino, Mario Manzo
Integrating Navigational and Structural Information in SCORM Content Aggregation Modeling. ICALT 2012: 379-380
Coauthor Index
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