Spikiness Assessment of Term Occurrences in Microblogs: An Approach based on Computational Stigmergy. - Mario G. C. A. Cimino; Federico A. Galatolo; Alessandro Lazzeri; Witold Pedrycz; Gigliola Vaglini (ICPRAM, 2017)

Using Stigmergy to Incorporate the Time into Artificial Neural Networks. - Federico A. Galatolo; Mario Giovanni C. A. Cimino; Gigliola Vaglini (MIKE, 2018)

Using Stigmergy as a Computational Memory in the Design of Recurrent Neural Networks. - Federico A. Galatolo; Mario G. C. A. Cimino; Gigliola Vaglini (ICPRAM, 2019)

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 (EUC, 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 (IMPROVE, 2021)

Noise Boosted Neural Receptive Fields. - Federico A. Galatolo; Mario G. C. A. Cimino; Alessandro Marincioni; Gigliola Vaglini (SSCI, 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)

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)

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 (CogSIMA, 2022)

Convolutional Neural Networks for Structural Damage Localization on Digital Twins. - Marco Parola; Federico A. Galatolo; Matteo Torzoni; Mario G. C. A. Cimino (DeLTA (Selected Papers), 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 (DeLTA, 2022)

Zero-shot Mathematical Problem Solving via Generative Pre-trained Transformers. - Federico A. Galatolo; Mario G. C. A. Cimino; Gigliola Vaglini (ICEIS (1), 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 (ICEIS (1), 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 (IJCCI, 2022)

Efficient Information Representation and Propagation in Artificial Neural Networks. - Federico Andrea Galatolo (2022)

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 (DATA, 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 (GECCO, 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 (GISTAM, 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 (GISTAM (Selected Papers), 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 (ICEIS (1), 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 (ICPRAM, 2023)

Image-Based Screening of Oral Cancer via Deep Ensemble Architecture. - Marco Parola; Gaetano La Mantia; Federico A. Galatolo; Mario G. C. A. Cimino; Giuseppina Campisi; Olga Di Fede (SSCI, 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)

Blockchain-based Shared Additive Manufacturing. - Francesco Lupi; Mario G. C. A. Cimino; Tomaz Berlec; Federico A. Galatolo; Marko Corn; Nejc Rozman; Andrea Rossi 001; Michele Lanzetta (Comput. Ind. Eng., 2023)

Interpretable Machine Learning for Oral Lesion Diagnosis Through Prototypical Instances Identification. - Alessio Cascione; Mattia Setzu; Federico A. Galatolo; Mario G. C. A. Cimino; Riccardo Guidotti (DS (2), 2024)

An Overview On Large Language Models Across Key Domains: A Systematic Review. - Mattia Bruscia; Graziano A. Manduzio; Federico A. Galatolo; Mario G. C. A. Cimino; Alberto Greco 001; Lorenzo Cominelli; Enzo Pasquale Scilingo (MetroXRAINE, 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)

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)

Optimizing sparse topologies via competitive joint unstructured neural networks. - Federico A. Galatolo; Mario G. C. A. Cimino (Prog. Artif. Intell., 2024)

Deep Learning-Based Classification of Social Anxiety Disorder Using Continuous Self-Reported Anxiety in Virtual Reality. - Marco Pardini; Sergio Frumento; Matteo Martini; Gianluca Rho; Valerio Vatteroni; Krishant Tharun; Martina Alaimo; Federico A. Galatolo; Martina De Marinis; Enzo Pasquale Scilingo; Danilo Menicucci; Mario G. C. A. Cimino; et al. (MeMeA, 2025)