Federico A. Galatolo

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 27

Top Topics

Eligibility Traces

Top Venues

GISTAM (Selected Papers)

Publications

Gabriele Martino, Federico A. Galatolo, Mario G. C. A. Cimino, Christian Callegari
Using Deep Learning with Attention to Detect Data Exfiltration by POS Malware. ICEIS (1) (2023)
Giada Simionato, Federico A. Galatolo, Mario G. C. A. Cimino
Swarms of Artificial Platelets for Emergent Hole Detection and Healing in Wireless Sensor Networks. GECCO (2023)
Francesco Lupi, Mario G. C. A. Cimino, Tomaz Berlec, Federico A. Galatolo, Marko Corn, Nejc Rozman, Andrea Rossi, Michele Lanzetta
Blockchain-based Shared Additive Manufacturing. Comput. Ind. Eng. 183 (2023)
Federico A. Galatolo, Mario G. C. A. Cimino
Cerbero-7B: A Leap Forward in Language-Specific LLMs Through Enhanced Chat Corpus Generation and Evaluation. CoRR (2023)
Diana Orlandi, Federico A. Galatolo, Mario G. C. A. Cimino, Carolina Pagli, Nicola Perilli, Joao A. Pompeu, Itxaso Ruiz
Using Deep Learning and Radar Backscatter for Mapping River Water Surface. GISTAM (2023)
Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti
TeTIm-Eval: A Novel Curated Evaluation Data Set for Comparing Text-to-Image Models. ICPRAM (2023)
Diana Orlandi, Federico A. Galatolo, Alessandro La Rosa, Mario G. C. A. Cimino, Pierfrancesco Foglia, Carolina Pagli, Cosimo Antonio Prete
U-Nets and Multispectral Images for Detecting the Surface Water of Rivers via SAR Images. GISTAM (Selected Papers) (2023)
Federico A. Galatolo, Gabriele Martino, Mario G. C. A. Cimino, Chiara Ombretta Tommasi
Dense Information Retrieval on a Latin Digital Library via LaBSE and LatinBERT Embeddings. DATA (2023)
Diana Orlandi, Federico A. Galatolo, Mario G. C. A. Cimino, Alessandro La Rosa, Carolina Pagli, Nicola Perilli
Enhancing land subsidence awareness via InSAR data and Deep Transformers. CogSIMA (2022)
Mario G. C. A. Cimino, Federico A. Galatolo, Marco Parola, Nicola Perilli, Nunziante Squeglia
Deep Learning of Structural Changes in Historical Buildings: The Case Study of the Pisa Tower. IJCCI (2022)
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
Zero-shot Mathematical Problem Solving via Generative Pre-trained Transformers. ICEIS (1) (2022)
Federico A. Galatolo, Mario G. C. A. Cimino, Edoardo Cogotti
TeTIm-Eval: a novel curated evaluation data set for comparing text-to-image models. CoRR (2022)
Marco Parola, Federico A. Galatolo, Matteo Torzoni, Mario G. C. A. Cimino
Convolutional Neural Networks for Structural Damage Localization on Digital Twins. DeLTA (Selected Papers) (2022)
Marco Parola, Federico A. Galatolo, Matteo Torzoni, Mario G. C. A. Cimino, Gigliola Vaglini
Structural Damage Localization via Deep Learning and IoT Enabled Digital Twin. DeLTA (2022)
Alice Nannini, Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
Using Deep Learning-based Object Detection to Extract Structure Information from Scanned Documents. ICEIS (1) (2022)
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
Formal Derivation of Mesh Neural Networks with Their Forward-Only Gradient Propagation. Neural Process. Lett. 53 (3) (2021)
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search. CoRR (2021)
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
Generating Images from Caption and Vice Versa via CLIP-Guided Generative Latent Space Search. IMPROVE (2021)
Samar Ben Ammar, Mario G. C. A. Cimino, Pierfrancesco Foglia, Federico A. Galatolo, Issam Nouiri
Multi-objective optimization of water distribution networks via NSGA-II and Pseudo-Weights. EUC (2021)
Federico A. Galatolo, Mario G. C. A. Cimino, Alessandro Marincioni, Gigliola Vaglini
Noise Boosted Neural Receptive Fields. SSCI (2021)
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
Solving the scalarization issues of Advantage-based Reinforcement Learning algorithms. Comput. Electr. Eng. 92 (2021)
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
Solving the scalarization issues of Advantage-based Reinforcement Learning Algorithms. CoRR (2020)
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
Using Stigmergy as a Computational Memory in the Design of Recurrent Neural Networks. ICPRAM (2019)
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
Formal derivation of Mesh Neural Networks with their Forward-Only gradient Propagation. CoRR (2019)
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
Using stigmergy as a computational memory in the design of recurrent neural networks. CoRR (2019)
Federico A. Galatolo, Mario G. C. A. Cimino, Gigliola Vaglini
Using stigmergy to incorporate the time into artificial neural networks. CoRR (2018)
Federico A. Galatolo, Mario Giovanni C. A. Cimino, Gigliola Vaglini
Using Stigmergy to Incorporate the Time into Artificial Neural Networks. MIKE (2018)