Gianni D'Angelo

Orcid: 0000-0001-7164-5736

According to our database1, Gianni D'Angelo authored at least 42 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Privacy-preserving malware detection in Android-based IoT devices through federated Markov chains.
Future Gener. Comput. Syst., November, 2023

Enhancing COVID-19 tracking apps with human activity recognition using a deep convolutional neural network and HAR-images.
Neural Comput. Appl., July, 2023

A co-evolutionary genetic algorithm for robust and balanced controller placement in software-defined networks.
J. Netw. Comput. Appl., March, 2023

Identifying patterns in multiple biomarkers to diagnose diabetic foot using an explainable genetic programming-based approach.
Future Gener. Comput. Syst., 2023

An Association Rules-Based Approach for Anomaly Detection on CAN-bus.
Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

Recurrence Plots-Based Network Attack Classification Using CNN-Autoencoders.
Proceedings of the Computational Science and Its Applications - ICCSA 2023 Workshops, 2023

2022
A genetic programming-based approach for classifying pancreatic adenocarcinoma: the SICED experience.
Soft Comput., 2022

Forecasting the spread of SARS-CoV-2 in the campania region using genetic programming.
Soft Comput., 2022

Artificial neural networks for resources optimization in energetic environment.
Soft Comput., 2022

DNS tunnels detection via DNS-images.
Inf. Process. Manag., 2022

A federated approach to Android malware classification through Perm-Maps.
Clust. Comput., 2022

2021
Network traffic classification using deep convolutional recurrent autoencoder neural networks for spatial-temporal features extraction.
J. Netw. Comput. Appl., 2021

GGA: A modified genetic algorithm with gradient-based local search for solving constrained optimization problems.
Inf. Sci., 2021

A Cluster-Based Multidimensional Approach for Detecting Attacks on Connected Vehicles.
IEEE Internet Things J., 2021

A stacked autoencoder-based convolutional and recurrent deep neural network for detecting cyberattacks in interconnected power control systems.
Int. J. Intell. Syst., 2021

Effective classification of android malware families through dynamic features and neural networks.
Connect. Sci., 2021

A machine learning-based memory forensics methodology for TOR browser artifacts.
Concurr. Comput. Pract. Exp., 2021

Association rule-based malware classification using common subsequences of API calls.
Appl. Soft Comput., 2021

Effectiveness of Video-Classification in Android Malware Detection Through API-Streams and CNN-LSTM Autoencoders.
Proceedings of the Mobile Internet Security - 5th International Symposium, 2021

2020
A machine learning evolutionary algorithm-based formula to assess tumor markers and predict lung cancer in cytologically negative pleural effusions.
Soft Comput., 2020

Special Issue on Intelligent Systems in Sensor Networks and Internet of Things.
Sensors, 2020

Malware detection in mobile environments based on Autoencoders and API-images.
J. Parallel Distributed Comput., 2020

Discovering genomic patterns in SARS-CoV-2 variants.
Int. J. Intell. Syst., 2020

Knowledge elicitation based on genetic programming for non destructive testing of critical aerospace systems.
Future Gener. Comput. Syst., 2020

On applying AI-driven flight data analysis for operational spacecraft model-based diagnostics.
Annu. Rev. Control., 2020

2019
Cyfra 21.1 CEA for both serum and pleural fluid of 168 patients.
Dataset, April, 2019

A proposal for distinguishing between bacterial and viral meningitis using genetic programming and decision trees.
Soft Comput., 2019

A data-driven approximate dynamic programming approach based on association rule learning: Spacecraft autonomy as a case study.
Inf. Sci., 2019

Detecting unfair recommendations in trust-based pervasive environments.
Inf. Sci., 2019

2018
Dishonest Internet users Dataset.
Dataset, March, 2018

Fast Eddy Current Testing Defect Classification Using Lissajous Figures.
IEEE Trans. Instrum. Meas., 2018

Toward a soft computing-based correlation between oxygen toxicity seizures and hyperoxic hyperpnea.
Soft Comput., 2018

A NAT traversal mechanism for cloud video surveillance applications using WebSocket.
Multim. Tools Appl., 2018

2017
Developing a trust model for pervasive computing based on Apriori association rules learning and Bayesian classification.
Soft Comput., 2017

2016
Feature Extraction and Soft Computing Methods for Aerospace Structure Defect Classification.
CoRR, 2016

Diagnosis of aerospace structure defects by a HPC implemented soft computing algorithm.
CoRR, 2016

Shape-based defect classification for Non Destructive Testing.
CoRR, 2016

2015
An uncertainty-managing batch relevance-based approach to network anomaly detection.
Appl. Soft Comput., 2015

An Artificial Intelligence-Based Trust Model for Pervasive Computing.
Proceedings of the 10th International Conference on P2P, 2015

2014
Towards a HPC-oriented parallel implementation of a learning algorithm for bioinformatics applications.
BMC Bioinform., 2014

2007
A bluetooth infrastructure for automatic services access in ubiquitous and nomadic computing environments.
Proceedings of the Fifth ACM International Workshop on Mobility Management & Wireless Access, 2007

2002
Analisi e progetto di circuiti translineari per applicazioni optoelettroniche.
PhD thesis, 2002


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