E-LIB Suche - Ergebnisse für: Ciravegna, Gabriele

1

Graph Neural Networks for Graph Drawing:

Tiezzi, Matteo ; Ciravegna, Gabriele ; Gori, Marco
IEEE Transactions on Neural Networks and Learning Systems. 35 (2024) 4 - p. 4668-4681 , 2024

Link: https://doi.org/10.1109/..

2

Concept Distillation in Graph Neural Networks:

, In: Communications in Computer and Information Science; Explainable Artificial Intelligence,

Magister, Lucie Charlotte ; Barbiero, Pietro ; Kazhdan, Dmitry... - p. 233-255 , 2023

Link: https://doi.org/10.1007/..

3

Knowledge-Driven Active Learning:

, In: Machine Learning and Knowledge Discovery in Databases: Research Track; Lecture Notes in Computer Science,

Ciravegna, Gabriele ; Precioso, Frédéric ; Betti, Alessandro.. - p. 38-54 , 2023

Link: https://doi.org/10.1007/..

4

Toward Novel Optimizers: A Moreau-Yosida View of Gradient-B..:

, In: AIxIA 2023 – Advances in Artificial Intelligence; Lecture Notes in Computer Science,

Betti, Alessandro ; Ciravegna, Gabriele ; Gori, Marco... - p. 218-230 , 2023

Link: https://doi.org/10.1007/..

5

Logic Explained Networks:

Ciravegna, Gabriele ; Barbiero, Pietro ; Giannini, Francesco...
Artificial Intelligence. 314 (2023) - p. 103822 , 2023

Link: https://doi.org/10.1016/..

6

Dual Deep Clustering:

, In: Applications of Artificial Intelligence and Neural Systems to Data Science; Smart Innovation, Systems and Technologies,

Cirrincione, Giansalvo ; Randazzo, Vincenzo ; Barbiero, Pietro.. - p. 51-62 , 2023

Link: https://doi.org/10.1007/..

7

Gradient-Based Competitive Learning: Theory:

Cirrincione, Giansalvo ; Randazzo, Vincenzo ; Barbiero, Pietro..
Cognitive Computation. 16 (2023) 2 - p. 608-623 , 2023

Link: https://doi.org/10.1007/..

8

Domain Knowledge Alleviates Adversarial Attacks in Multi-La..:

Melacci, Stefano ; Ciravegna, Gabriele ; Sotgiu, Angelo...
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44 (2022) 12 - p. 9944-9959 , 2022

Link: https://doi.org/10.1109/..

9

A survey on data integration for multi-omics sample cluster..:

Lovino, Marta ; Randazzo, Vincenzo ; Ciravegna, Gabriele...
Neurocomputing. 488 (2022) - p. 494-508 , 2022

Link: https://doi.org/10.1016/..

10

Encryption-agnostic classifiers of traffic originators and ..:

Canavese, Daniele ; Regano, Leonardo ; Basile, Cataldo..
Computers & Electrical Engineering. 97 (2022) - p. 107621 , 2022

Link: https://doi.org/10.1016/..

11

Minimizing Cross Intersections in Graph Drawing via Linear ..:

, In: Artificial Neural Networks in Pattern Recognition; Lecture Notes in Computer Science,

Hussain, Rida Ghafoor ; Tiezzi, Matteo ; Ciravegna, Gabriele. - p. 28-39 , 2022

Link: https://doi.org/10.1007/..

12

Data set and machine learning models for the classification..:

Canavese, Daniele ; Regano, Leonardo ; Basile, Cataldo..
Data in Brief. 41 (2022) - p. 107968 , 2022

Link: https://doi.org/10.1016/..

13

A Transcriptional Study of Oncogenes and Tumor Suppressors ..:

, In: Innovation in Medicine and Healthcare; Smart Innovation, Systems and Technologies,

Giacomini, Giorgia ; Ciravegna, Gabriele ; Pellegrini, Marco.. - p. 159-169 , 2020

Link: https://doi.org/10.1007/..

14

Unsupervised Multi-omic Data Fusion: The Neural Graph Learn..:

, In: Intelligent Computing Theories and Application; Lecture Notes in Computer Science,

Barbiero, Pietro ; Lovino, Marta ; Siviero, Mattia... - p. 172-182 , 2020

Link: https://doi.org/10.1007/..

15

Discovering Hierarchical Neural Archetype Sets:

, In: Progresses in Artificial Intelligence and Neural Systems; Smart Innovation, Systems and Technologies,

Ciravegna, Gabriele ; Barbiero, Pietro ; Cirrincione, Giansalvo.. - p. 255-267 , 2020

Link: https://doi.org/10.1007/..