Giuseppe Patanè

Orcid: 0000-0001-5845-9680

Affiliations:
  • Park Smart s.r.l., Catania, Italy


According to our database1, Giuseppe Patanè authored at least 11 papers between 2016 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
CAHOOT: a Context-Aware veHicular intrusiOn detectiOn sysTem.
Proceedings of the IEEE International Conference on Trust, 2022

2021
Secure Routine: A Routine-Based Algorithm for Drivers Identification.
CoRR, 2021

Private Drivers Identification based on users' routine.
Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

2020
SceneAdapt: Scene-based domain adaptation for semantic segmentation using adversarial learning.
Pattern Recognit. Lett., 2020

2019
Estimating the occupancy status of parking areas by counting cars and non-empty stalls.
J. Vis. Commun. Image Represent., 2019

An IoT service ecosystem for Smart Cities: The #SmartME project.
Internet Things, 2019

2018
A Comparison of Techniques based on Image Classification and Object Detection to Count Cars and Non-empty Stalls in Parking Spaces.
Proceedings of the 15th International Joint Conference on e-Business and Telecommunications, 2018

Scene Adaptation for Semantic Segmentation using Adversarial Learning.
Proceedings of the 15th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2018

Building a Smart City Service Platform in Messina with the #SmartME Project.
Proceedings of the 32nd International Conference on Advanced Information Networking and Applications Workshops, 2018

2017
Park Smart.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016
Learning Approaches for Parking Lots Classification.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016


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