Federico Galatolo

According to our database, Federico Galatolo authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Optimizing sparse topologies via competitive joint unstructured neural networks.

Federico A. Galatolo, Mario G. C. A. Cimino

Prog. Artif. Intell., December, 2024

Improving Small-Scale Large Language Models Function Calling for Reasoning Tasks.

Graziano A. Manduzio, Federico A. Galatolo, Mario G. C. A. Cimino, Enzo Pasquale Scilingo, Lorenzo Cominelli

CoRR, 2024

Towards explainable oral cancer recognition: Screening on imperfect images via Informed Deep Learning and Case-Based Reasoning.

Marco Parola, Federico A. Galatolo, Gaetano La Mantia, Mario G. C. A. Cimino, Giuseppina Campisi, Olga Di Fede

Comput. Medical Imaging Graph., 2024

2023

Blockchain-based Shared Additive Manufacturing.

Francesco Lupi, Mario G. C. A. Cimino, Tomaz Berlec, Federico A. Galatolo, Marko Corn, Nejc Rozman, Andrea Rossi, Michele Lanzetta

Comput. Ind. Eng., September, 2023

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

Federico A. Galatolo, Mario G. C. A. Cimino

CoRR, 2023

Image-Based Screening of Oral Cancer via Deep Ensemble Architecture.

Marco Parola, Gaetano La Mantia, Federico Galatolo, Mario G. C. A. Cimino, Giuseppina Campisi, Olga Di Fede

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

TeTIm-Eval: A Novel Curated Evaluation Data Set for Comparing Text-to-Image Models.

Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti

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.

Gabriele Martino, Federico A. Galatolo, Mario G. C. A. Cimino, Christian Callegari

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

U-Nets and Multispectral Images for Detecting the Surface Water of Rivers via SAR Images.

Diana Orlandi, Federico A. Galatolo, Alessandro La Rosa, Mario G. C. A. Cimino, Pierfrancesco Foglia, Carolina Pagli, Cosimo Antonio Prete

Proceedings of the Geographical Information Systems Theory, Applications and Management, 2023

Using Deep Learning and Radar Backscatter for Mapping River Water Surface.

Diana Orlandi, Federico A. Galatolo, Mario G. C. A. Cimino, Carolina Pagli, Nicola Perilli, Joao A. Pompeu, Itxaso Ruiz

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.

Giada Simionato, Federico A. Galatolo, Mario G. C. A. Cimino

Proceedings of the Genetic and Evolutionary Computation Conference, 2023

Dense Information Retrieval on a Latin Digital Library via LaBSE and LatinBERT Embeddings.

Federico A. Galatolo, Gabriele Martino, Mario G. C. A. Cimino, Chiara Ombretta Tommasi

Proceedings of the 12th International Conference on Data Science, 2023

2022

Efficient Information Representation and Propagation in Artificial Neural Networks.

Federico Galatolo

PhD thesis, 2022

Deep Learning of Structural Changes in Historical Buildings: The Case Study of the Pisa Tower.

Mario G. C. A. Cimino, Federico A. Galatolo, Marco Parola, Nicola Perilli, Nunziante Squeglia

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Using Deep Learning-based Object Detection to Extract Structure Information from Scanned Documents.

Alice Nannini, Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Zero-shot Mathematical Problem Solving via Generative Pre-trained Transformers.

Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Structural Damage Localization via Deep Learning and IoT Enabled Digital Twin.

Marco Parola, Federico A. Galatolo, Matteo Torzoni, Mario G. C. A. Cimino, Gigliola Vaglini

Proceedings of the 3rd International Conference on Deep Learning Theory and Applications, 2022

Convolutional Neural Networks for Structural Damage Localization on Digital Twins.

Marco Parola, Federico A. Galatolo, Matteo Torzoni, Mario G. C. A. Cimino

Proceedings of the Deep Learning Theory and Applications - Third International Conference, 2022

Enhancing land subsidence awareness via InSAR data and Deep Transformers.

Diana Orlandi, Federico A. Galatolo, Mario G. C. A. Cimino, Alessandro La Rosa, Carolina Pagli, Nicola Perilli

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.

Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

Neural Process. Lett., 2021

Solving the scalarization issues of Advantage-based Reinforcement Learning algorithms.

Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

Comput. Electr. Eng., 2021

Noise Boosted Neural Receptive Fields.

Federico A. Galatolo, Mario G. C. A. Cimino, Alessandro Marincioni, Gigliola Vaglini

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Generating Images from Caption and Vice Versa via CLIP-Guided Generative Latent Space Search.

Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

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.

Samar Ben Ammar, Mario G. C. A. Cimino, Pierfrancesco Foglia, Federico A. Galatolo, Issam Nouiri

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.

Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018

Using Stigmergy to Incorporate the Time into Artificial Neural Networks.

Federico A. Galatolo, Mario Giovanni C. A. Cimino, Gigliola Vaglini

Proceedings of the Mining Intelligence and Knowledge Exploration, 2018

2017

Spikiness Assessment of Term Occurrences in Microblogs: An Approach based on Computational Stigmergy.

Mario G. C. A. Cimino, Federico Galatolo, Alessandro Lazzeri, Witold Pedrycz, Gigliola Vaglini

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017