Video-Based Access Control by Automatic License Plate Recognition. - Emanuel Di Nardo; Lucia Maddalena 001; Alfredo Petrosino (Advances in Neural Networks, 2015)

Unsupervised cyber bullying detection in social networks. - Michele Di Capua; Emanuel Di Nardo; Alfredo Petrosino (ICPR, 2016)

EmoP3D: A Brain Like Pyramidal Deep Neural Network for Emotion Recognition. - Emanuel Di Nardo; Alfredo Petrosino; Ihsan Ullah 002 (ECCV Workshops (3), 2018)

Parallel Implementation of a Machine Learning Algorithm on GPU. - Salvatore Cuomo; Pasquale De Michele; Emanuel Di Nardo; Livia Marcellino (Int. J. Parallel Program., 2018)

Adversarial Learning for Visual Tracking Research Idea. - Emanuel Di Nardo (DDC@AI*IA, 2019)

Distributed Training of 3DPyranet over Intel AI DevCloud Platform. - Emanuel Di Nardo; Fabio Narducci (IDCS, 2019)

Advanced Fuzzy Relational Neural Network. - Emanuel Di Nardo; Angelo Ciaramella (WILF, 2021)

Emotion recognition at the edge with AI specific low power architectures. - Emanuel Di Nardo; Vincenzo Santopietro; Alfredo Petrosino (Microprocess. Microsystems, 2021)

The Tenth Visual Object Tracking VOT2022 Challenge Results. - Matej Kristan; Ales Leonardis; Jirí Matas; Michael Felsberg; Roman P. Pflugfelder; Joni-Kristian Kämäräinen; Hyung Jin Chang; Martin Danelljan; Luka Cehovin Zajc; Alan Lukezic; Ondrej Drbohlav; Johanna Björklund; et al. (ECCV Workshops (8), 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 Bioinform., 2022)

Prediction of Wave Energy Spectrum Based on Ship Motions Using a Data-Driven Approach. - Alessandro La Ferlita; Yan Qi; Emanuel Di Nardo; Simon Mewes; Ould el Moctar; Angelo Ciaramella (itaDATA, 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)

Skip-SegFormer - Efficient Semantic Segmentation for urban driving. - Andrea Lombardi; Emanuel Di Nardo; Angelo Ciaramella (Ital-IA, 2023)

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 (WIRN, 2023)

Discrete Diffusion Model for Image Captioning by Self-Critical Learning. - Vincenzo Silvio; Emanuel Di Nardo; Angelo Ciaramella (WIRN, 2023)

Tracking vision transformer with class and regression tokens. - Emanuel Di Nardo; Angelo Ciaramella (Inf. Sci., 2023)

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 (Companion), 2024)

Recursive Learning Framework for Structured Data Agglomeration. - Angelo Ciaramella; Emanuel Di Nardo; Giuseppe Vettigli (IJCNN, 2024)

Generative AI and Emotional Health: Innovations with Haystack. - Antonio Agliata; Antonio Pilato; Sorrentino Mariacarmen; Salvatore Bottiglieri; Emanuel Di Nardo; Angelo Ciaramella (ISCC, 2024)

Cross-domain Super-Resolution in Medical Imaging. - Vincenzo Bevilacqua; Antonio Di Marino; Emanuel Di Nardo; Angelo Ciaramella; Ivanoe De Falco; Giovanna Sannino (ISCC, 2024)

Safeguarding the Marine and Coastal Environment with Artificial Intelligence. - Paola Barra; Francesco Camastra; Angelo Ciaramella; Ciro Giuseppe De Vita; Emanuel Di Nardo; Raffaele Montella; Gennaro Mellone; Vincenzo Mariano Scarrica; Antonino Staiano (Ital-IA, 2024)

Design the modern supply chain: The SmarTwin Projec. - Michele Di Capua; Emanuel Di Nardo; Angelo Ciaramella; Gennaro Iannuzzo; Aniello De Prisco; Daniele Ruggeri Laderchi; Pietro Catalano; Pietro D'Ambrosio; Salvatore Moscariello (Ital-IA, 2024)

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 (PDP, 2025)

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; et al. (CoRR, 2025)