Federico Galatolo

Orcid: 0000-0001-7193-3754

According to our database1, Federico Galatolo authored at least 23 papers between 2017 and 2023.

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Bibliography

2023
Blockchain-based Shared Additive Manufacturing.
Comput. Ind. Eng., September, 2023

Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation.
CoRR, 2023

Image-Based Screening of Oral Cancer via Deep Ensemble Architecture.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

TeTIm-Eval: A Novel Curated Evaluation Data Set for Comparing Text-to-Image Models.
Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods, 2023

Using Deep Learning with Attention to Detect Data Exfiltration by POS Malware.
Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

Using Deep Learning and Radar Backscatter for Mapping River Water Surface.
Proceedings of the 9th International Conference on Geographical Information Systems Theory, 2023

Swarms of Artificial Platelets for Emergent Hole Detection and Healing in Wireless Sensor Networks.
Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Dense Information Retrieval on a Latin Digital Library via LaBSE and LatinBERT Embeddings.
Proceedings of the 12th International Conference on Data Science, 2023

2022
Efficient Information Representation and Propagation in Artificial Neural Networks.
PhD thesis, 2022

Deep Learning of Structural Changes in Historical Buildings: The Case Study of the Pisa Tower.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Using Deep Learning-based Object Detection to Extract Structure Information from Scanned Documents.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Zero-shot Mathematical Problem Solving via Generative Pre-trained Transformers.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Structural Damage Localization via Deep Learning and IoT Enabled Digital Twin.
Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

Convolutional Neural Networks for Structural Damage Localization on Digital Twins.
Proceedings of the Deep Learning Theory and Applications - Third International Conference, 2022

Enhancing land subsidence awareness via InSAR data and Deep Transformers.
Proceedings of the IEEE Conference on Cognitive and Computational Aspects of Situation Management, 2022

2021
Formal Derivation of Mesh Neural Networks with Their Forward-Only Gradient Propagation.
Neural Process. Lett., 2021

Solving the scalarization issues of Advantage-based Reinforcement Learning algorithms.
Comput. Electr. Eng., 2021

Noise Boosted Neural Receptive Fields.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Generating Images from Caption and Vice Versa via CLIP-Guided Generative Latent Space Search.
Proceedings of the International Conference on Image Processing and Vision Engineering, 2021

Multi-objective optimization of water distribution networks via NSGA-II and Pseudo-Weights.
Proceedings of the 19th IEEE International Conference on Embedded and Ubiquitous Computing, 2021

2019
Using Stigmergy as a Computational Memory in the Design of Recurrent Neural Networks.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018
Using Stigmergy to Incorporate the Time into Artificial Neural Networks.
Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

2017
Spikiness Assessment of Term Occurrences in Microblogs: An Approach based on Computational Stigmergy.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017


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