Nicola Saccomanno

Orcid: 0000-0001-5916-3195

According to our database1, Nicola Saccomanno authored at least 14 papers between 2020 and 2025.

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

Timeline

2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
A survey on recent trends in robotics and artificial intelligence in the furniture industry.
Robotics Comput. Integr. Manuf., 2025

2024
Evaluating LLMs Capabilities at Natural Language to Logic Translation: A Preliminary Investigation.
Proceedings of the Short Paper Proceedings of the 6th International Workshop on Artificial Intelligence and Formal Verification, 2024

Learning What to Monitor: Using Machine Learning to Improve past STL Monitoring.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023
Towards interpretability in fingerprint based indoor positioning: May attention be with us.
Expert Syst. Appl., November, 2023

Crowdsourced Reconstruction of Cellular Networks to Serve Outdoor Positioning: Modeling, Validation and Analysis.
Sensors, 2023

Monitors That Learn From Failures: Pairing STL and Genetic Programming.
IEEE Access, 2023

Towards Machine Learning Enhanced LTL Monitoring.
Proceedings of the Short Paper Proceedings of the 5th Workshop on Artificial Intelligence and Formal Verification, 2023

Towards Learning an Optimal Metric for Fingerprint-based Localisation.
Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Usage of Language Model for the Filling of Lacunae in Ancient Latin Inscriptions: A Case Study (full paper).
Proceedings of the 2nd Workshop on Artificial Intelligence for Cultural Heritage (IAI4CH 2023) co-located with the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023), 2023

2022
A genetic programming approach to WiFi fingerprint meta-distance learning.
Pervasive Mob. Comput., 2022

A Framework for Indoor Positioning Including Building Topology.
IEEE Access, 2022

2021
AIOSA: An approach to the automatic identification of obstructive sleep apnea events based on deep learning.
Artif. Intell. Medicine, 2021

2020
Let's Forget About Exact Signal Strength: Indoor Positioning based on Access Point Ranking and Recurrent Neural Networks.
Proceedings of the MobiQuitous '20: Computing, 2020

A new similarity measure for low-sampling cellular fingerprint trajectories.
Proceedings of the 21st IEEE International Conference on Mobile Data Management, 2020


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