Publications

Advancing User Profiling: A Comprehensive Analysis of 200k+ Physicians Using LDA Topic Extraction

Antonio Agliata, Angelo Ciaramella, Emanuel Di Nardo, Alfonso Moscato, Luca Rizzuti, Bruno Sfogliarini, Mariacarmen Sorrentino
Neural Networks: Overview of Current Theories and Applications, 2026

Perceptual Learning for On-Line Visual Object Tracking

Davide De Cicco, Gennaro Iannuzzo, Emanuel Di Nardo, Angelo Ciaramella
Neural Networks: Overview of Current Theories and Applications, 2026

Stable and Efficient Gaussian-Based Kolmogorov–Arnold Networks

Pasquale De Luca, Emanuel Di Nardo, Livia Marcellino, Angelo Ciaramella
Mathematics, 2026

A new Image Similarity Metric for a Perceptual and Transparent Geometric and Chromatic Assessment

Antonio Di Marino, Vincenzo Bevilacqua, Emanuel Di Nardo, Angelo Ciaramella, Ivanoe De Falco, Giovanna Sannino
arXiv preprint (submitted to journal), 2026

Domain-Adaptive Transfer Learning for HPV Lesion Classification in Whole Slide Images: A Patient-Level Pipeline Across the Cytology–Histology Continuum

Annabella Di Mauro, Pasquale De Luca, Maria Lina Tornesello, Emanuel Di Nardo, Luca D'Anna, Andrea Cerasuolo, Veronica Sanna, Saverio Simonelli, Vincenzo Gigantino, Antonella Gioioso, Margherita Cerrone, Rossella De Cecio, Gerardo Ferrara, Livia Marcellino, Angelo Ciaramella
Bioengineering, 2026

Unveiling AI Decisions: A Unified Approach Through Explainable Learning for Optimizing Counterfactual Explanations

Gennaro Mellone, Emanuel Di Nardo, Alberto Mennella, Pietro Patrizio Ciro Aucelli, Angelo Ciaramella
Neural Networks: Overview of Current Theories and Applications, 2026

A hybrid CFD-DNN framework for ship motion prediction based on residual learning

Yan Qi, Alessandro La Ferlita, Emanuel Di Nardo, Markus Mühmer, Ould el Moctar
Ocean Engineering, Volume 353, Part 2, 2026

Emotion Recognition Tool for Brain-Computer Interface

Davide De Angelis, Manuel Manco, Emilio Garzia, Emanuel Di Nardo, Angelo Ciaramella
Neural Networks: Overview of Current Theories and Applications, 2026

Bridging LLMs and Symbolic Reasoning in Educational QA Systems: Insights from the XAI Challenge at IJCNN 2025

Long S. T. Nguyen, Khang H. N. Vo, Thu H. A. Nguyen, Tuan C. Bui, Duc Q. Nguyen, Thanh-Tung Tran, Anh D. Nguyen, Minh L. Nguyen, Fabien Baldacci, Thang H. Bui, Emanuel Di Nardo, Angelo Ciaramella, Son H. Le, Ihsan Ullah, Lorenzo Di Rocco, Tho T. Quan
4th Italian Conference on Big Data and Data Science (ITADATA 2025), CEUR Workshop Proceedings, Vol-4152, 2025

Visual Question Answering and XAI: Multimodal Approach for Automatic Diagnosis from Lung Radiographs

Antonio Agliata, Vittorio Bilò, Mariano Caiazzo, Antonio Mario Caruso, Angelo Ciaramella, Emanuel Di Nardo, Antonio Pilato, Mariacarmen Sorrentino, Cosimo Vinci
2025 IEEE Symposium on Computers and Communications (ISCC), 2025

G-Litter Marine Litter Dataset Augmentation with Diffusion Models and Large Language Models on GPU Acceleration

Gennaro Mellone, Ciro Giuseppe De Vita, Emanuel Di Nardo, Giuseppe Coviello, Diana Di Luccio, Pietro Patrizio Ciro Aucelli, Angelo Ciaramella, Raffaele Montella
33rd Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), 2025

Exploring the Effectiveness of Slot Attention-Based Classifier in Detecting Underwater Marine Litter: A Study

Gennaro Mellone, Emanuel Di Nardo, Ciro Giuseppe De Vita, Raffaele Montella, Pietro Patrizio Ciro Aucelli, Angelo Ciaramella
Advanced Neural Artificial Intelligence: Theories and Applications, 2025

AI and HPC for intense rain event early warning leveraging real-time weather radar

Diana Di Luccio, Ciro Giuseppe De Vita, Gennaro Mellone, Dante D. Sánchez-Gallegos, Pasquale Corvino, Mario Di Sarno, Pasquale De Luca, Emanuel Di Nardo, Vincenzo Capozzi, Vincenzo Bucciero, Raffaele Montella
2025 IEEE International Conference on eScience (eScience), 2025

Discrete Diffusion Model for Image Captioning by Self-Critical Learning

Vincenzo Silvio, Emanuel Di Nardo, Angelo Ciaramella
Advanced Neural Artificial Intelligence: Theories and Applications, 2025

Competitive advantage in healthcare based on augmentation of clinical images with artificial intelligence: case study of the 'Sambias' project

Alessandra D'Amico, Michele Di Capua, Emanuel Di Nardo, Joanna Rosak-Szyrocka, Giuseppe Tortorella, Giuseppe Festa
International Journal of Managerial and Financial Accounting, 2024

Recursive Learning Framework for Structured Data Agglomeration

Angelo Ciaramella, Emanuel Di Nardo, Giuseppe Vettigli
2024 International Joint Conference on Neural Networks, IJCNN 2024, 2024

A framework of a data-driven model for ship performance

Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, Ould El Moctar, Thomas Schellin, Angelo Ciaramella
Ocean Engineering, 2024

Data-driven model assessment: A comparative study for ship response determination

Alessandro La Ferlita, Jens Ley, Yan Qi, Thomas Schellin, Emanuel Di Nardo, Ould El Moctar, Angelo Ciaramella
Ocean Engineering, 2024

A Data-Driven Model for Rapid CII Prediction

Mühmer, Markus, et al.
Journal of Marine Science and Engineering, 2024

A 3D-CNNs Approach to Classify Users' Emotion through EEG-based Topographical Maps in HRI

Lorenzo D'Errico, Emanuel di Nardo, Angelo Ciaramella, Mariacarla Staffa
HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

Tracking vision transformer with class and regression tokens

Emanuel Di Nardo, Angelo Ciaramella
Information Sciences, 2023

Skip-SegFormer Efficient Semantic Segmentation for urban driving

Andrea Lombardi, Emanuel Di Nardo, Angelo Ciaramella
Ital-IA 2023, 2023

Power Prediction of a 15,000 TEU Containership: Deep-Learning Algorithm Compared to a Physical Model

Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, Karoline Moenster, Thomas E Schellin, Ould EL Moctar, Christoph Rasewsky, Angelo Ciaramella
Journal of Marine Science and Engineering, 2023

AI-based Monitoring of Coastal and Marine Environments

Francesco Camastra, Angelo Ciaramella, Emanuel Di Nardo, Alessio Ferone, Antonio Maratea, Raffaele Montella, Antonino Staiano
Ital-IA 2023, 2023

A Comparative Study to Estimate Fuel Consumption: A Simplified Physical Approach against a Data-Driven Model

Alessandro La Ferlita, Yan Qi, Emanuel Di Nardo, Ould el Moctar, Thomas E Schellin, Angelo Ciaramella
Journal of Marine Science and Engineering, 2023

Application of Different Methods to Determine the Ultimate Strength of Ships in Bending

Thomas Lindemann, Alessandro La Ferlita, Emanuel Di Nardo, Patrick Kaeding
International Conference on Offshore Mechanics and Arctic Engineering, 2023

Deep Neural Network (DNN) Method to predict the displacement behavior of neutral axis for ships in vertical bending

Alessandro La Ferlita, Emanuel Di Nardo, Massimo Macera, Thomas Lindemann, Angelo Ciaramella, Patrick Kaeding
Technology and Science for the Ships of the Future, 2022

A Deep Neural Network to Predict the Residual Hull Girder Strength

Alessandro La Ferlita, Emanuel Di Nardo, Massimo Macera, Thomas Lindemann, Angelo Ciaramella, Nikolaos Koulianos
SNAME Maritime Convention, 2022

A new biomarker panel of ultraconserved long non-coding RNAs for bladder cancer prognosis by a machine learning based methodology

Angelo Ciaramella, Emanuel Di Nardo, Daniela Terracciano, Lia Conte, Ferdinando Febbraio, Amelia Cimmino
BMC bioinformatics, 2022

Advanced Fuzzy Relational Neural Network

Emanuel Di Nardo, Angelo Ciaramella
International Workshop on Fuzzy Logic and Applications 2021, 2021

Emotion recognition at the edge with AI specific low power architectures

Emanuel Di Nardo, Vincenzo Santopietro, Alfredo Petrosino
Microprocessors and Microsystems, 2021

Distributed Training of 3DPyranet over Intel AI DevCloud Platform

Emanuel Di Nardo, Fabio Narducci
International Conference on Internet and Distributed Computing Systems, 2021

Adversarial Learning for Visual Tracking Research Idea

Emanuel Di Nardo
Discussion and Doctoral Consortium papers of AI*IA 2019, 2019

Parallel implementation of a machine learning algorithm on GPU

Salvatore Cuomo, Pasquale De Michele, Emanuel Di Nardo, Livia Marcellino
International Journal of Parallel Programming, 2018

EmoP3D: A brain like pyramidal deep neural network for emotion recognition

Emanuel Di Nardo, Alfredo Petrosino, Ihsan Ullah
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018

Unsupervised cyber bullying detection in social networks

Michele Di Capua, Emanuel Di Nardo, Alfredo Petrosino
23rd International conference on pattern recognition (ICPR), 2016

An architecture for sentiment analysis in twitter

Michele Di Capua, Emanuel Di Nardo, Alfredo Petrosino
Proceed. of Int. Conference on E-learning, Germany, 2015

Vdeo-based access control by automatic license plate recognition

Emanuel Di Nardo, Lucia Maddalena, Alfredo Petrosino
Advances in Neural Networks: Computational and Theoretical Issues, 2015