Publications

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

DOI

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

DOI

Tracking vision transformer with class and regression tokens

Emanuel Di Nardo, Angelo Ciaramella

Information Sciences, 2023

DOI

Skip-SegFormer Efficient Semantic Segmentation for urban driving

Andrea Lombardi, Emanuel Di Nardo, Angelo Ciaramella

Ital-IA 2023, 2023

Link

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

DOI

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

Link

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

DOI

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

DOI

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

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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

DOI

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

DOI

Emotion recognition at the edge with AI specific low power architectures

Emanuel Di Nardo, Angelo Ciaramella

International Workshop on Fuzzy Logic and Applications 2021, 2021

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Emotion recognition at the edge with AI specific low power architectures

Emanuel Di Nardo, Vincenzo Santopietro, Alfredo Petrosino

Microprocessors and Microsystems, 2021

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Distributed Training of 3DPyranet over Intel AI DevCloud Platform

Emanuel Di Nardo, Fabio Narducci

International Conference on Internet and Distributed Computing Systems, 2021

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Adversarial Learning for Visual Tracking Research Idea

Emanuel Di Nardo

Discussion and Doctoral Consortium papers of AI*IA 2019, 2019

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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

DOI

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

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Unsupervised cyber bullying detection in social networks

Michele Di Capua, Emanuel Di Nardo, Alfredo Petrosino

23rd International conference on pattern recognition (ICPR), 2016

DOI

An architecture for sentiment analysis in twitter

Michele Di Capua, Emanuel Di Nardo, Alfredo Petrosino

Proceed. of Int. Conference on E-learning, Germany, 2015

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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

DOI