Eugenio Vocaturo

Orcid: 0000-0001-7457-7118

According to our database1, Eugenio Vocaturo authored at least 61 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Forecasting of mobile network traffic and spatio-temporal analysis using modLSTM.
Mach. Learn., April, 2024

2023
Low-Cost Multisensory Robot for Optimized Path Planning in Diverse Environments.
Comput., December, 2023

Role of Internet of Things and Deep Learning Techniques in Plant Disease Detection and Classification: A Focused Review.
Sensors, September, 2023

Molecular Structure-Based Prediction of Absorption Maxima of Dyes Using ANN Model.
Big Data Cogn. Comput., 2023

Conditional Generative Adversarial Network Model for Conversion of 2 Dimensional Radiographs Into 3 Dimensional Views.
IEEE Access, 2023

Multiple Instance Learning for Diabetic Retinopathy Detection.
Proceedings of the 31st Symposium of Advanced Database Systems, 2023

On Detection of Diabetic Retinopathy via Multiple Instance Learning.
Proceedings of the International Database Engineered Applications Symposium Conference, 2023

AI-Driven Agriculture: Opportunities and Challenges.
Proceedings of the IEEE International Conference on Big Data, 2023

A focused review of ANN-based models for Predicting Absorption Maxima (λmax) of Dyes.
Proceedings of the IEEE International Conference on Big Data, 2023

Crop Loss Estimation in Maize Agriculture: A Deep Learning Perspective.
Proceedings of the IEEE International Conference on Big Data, 2023

Federated Learning Applications for Breast Cancer.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Revealing Brain Tumor with Federated Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Lung Cancer Detection via Federated Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022
Process mining applications in the healthcare domain: A comprehensive review.
WIREs Data Mining Knowl. Discov., 2022

A heuristic approach for multiple instance learning by linear separation.
Soft Comput., 2022

A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs.
Intell. Syst. Appl., 2022

Argumentation approaches for explanaible AI in medical informatics.
Intell. Syst. Appl., 2022

On forecasting non-renewable energy production with uncertainty quantification: A case study of the Italian energy market.
Expert Syst. Appl., 2022

KUB-UNet: Segmentation of Organs of Urinary System from a KUB X-ray Image.
Comput. Methods Programs Biomed., 2022

Spatial feature and resolution maximization GAN for bone suppression in chest radiographs.
Comput. Methods Programs Biomed., 2022

Machine Learning Techniques on X-ray Images for Covid-19 Classification.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2022

Multiple Instance Learning for viral pneumonia chest X-ray Classification.
Proceedings of the 30th Italian Symposium on Advanced Database Systems, 2022

Assembling Fragments of Ancient Papyrus via Artificial Intelligence.
Proceedings of the Pervasive Knowledge and Collective Intelligence on Web and Social Media, 2022

Poster SIMPATICO 3D.
Proceedings of the IEEE Symposium on Computers and Communications, 2022

Fake News Detection on COVID 19 tweets via Supervised Learning Approach.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

AI for the Detection of the Diabetic Retinopathy.
Proceedings of the Integrating Artificial Intelligence and IoT for Advanced Health Informatics, 2022

2021
A Multiple Instance Learning Approach for the Automatic Classification of Skin Lesions (Discussion Paper).
Proceedings of the 29th Italian Symposium on Advanced Database Systems, 2021

Viral pneumonia images classification by Multiple Instance Learning: preliminary results.
Proceedings of the IDEAS 2021: 25th International Database Engineering & Applications Symposium, 2021

Diabetic Retinopathy Images Classification via Multiple Instance Learning.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2021

Convolutional Neural Network Techniques on X-ray Images for Covid-19 Classification.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Artificial Intelligence approaches on Ultrasound for Breast Cancer Diagnosis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

ECG Analysis via Machine Learning Techniques: News and Perspectives.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Classification in the multiple instance learning framework via spherical separation.
Soft Comput., 2020

Smart Apps for Risk Assessment of Skin Cancer.
Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

Automatic Detection of Dysplastic Nevi: A Multiple Instance Learning Solution.
Proceedings of the 28th Italian Symposium on Advanced Database Systems, 2020

A Mobile Application for the Enhancement of POIs in Calabria.
Proceedings of 2nd International Workshop on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding co-located with 16th Italian Research Conference on Digital Libraries (IRCDL 2020), 2020

DC-SMIL: a multiple instance learning solution via spherical separation for automated detection of displastyc nevi.
Proceedings of the IDEAS 2020: 24th International Database Engineering & Applications Symposium, 2020

Multiple Instance Learning approaches for Melanoma and Dysplastic Nevi images classification.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Supporting the Diagnosis of Dysplastic Nevi Syndrome via Multiple Instance Learning approaches.
Proceedings of the First International AAI4H, 2020

On the Development of a Tool for Tongue Images Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

The contribution of AI in the detection of the Diabetic Retinopathy.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Machine Learning Opportunities for Automatic Tongue Diagnosis Systems.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Features for Melanoma Lesions: Extraction and Classification.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Multiple Instance Learning Algorithm for Medical Image Classification.
Proceedings of the 27th Italian Symposium on Advanced Database Systems, 2019

Educational Games for Cultural Heritage.
Proceedings of 1st International Workshop on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding co-located with 15th Italian Research Conference on Digital Libraries (IRCDL 2019), 2019

Augmented Reality for the Enhancement of Archaeological Heritage: a Calabrian Experience (short paper).
Proceedings of 1st International Workshop on Visual Pattern Extraction and Recognition for Cultural Heritage Understanding co-located with 15th Italian Research Conference on Digital Libraries (IRCDL 2019), 2019

SIMPATICO 3D Mobile for Diagnostic Procedures.
Proceedings of the 21st International Conference on Information Integration and Web-based Applications & Services, 2019

On discovering relevant features for tongue colored image analysis.
Proceedings of the 23rd International Database Applications & Engineering Symposium, 2019

On the Usefulness of Pre-Processing Step in Melanoma Detection Using Multiple Instance Learning.
Proceedings of the Flexible Query Answering Systems - 13th International Conference, 2019

Dangerousness of dysplastic nevi: a Multiple Instance Learning Solution for Early Diagnosis.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Machine Learning Techniques for Automated Melanoma Detection.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Features for Melanoma Lesions Characterization in Computer Vision Systems.
Proceedings of the 9th International Conference on Information, 2018

Deep Learning Techniques for Electronic Health Record Analysis.
Proceedings of the 9th International Conference on Information, 2018

A Multiple Instance Learning Algorithm for Color Images Classification.
Proceedings of the 22nd International Database Engineering & Applications Symposium, 2018

SIMPATICO 3D: A Medical Information System for Diagnostic Procedures.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Image pre-processing in computer vision systems for melanoma detection.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
On the use of Networks in Biomedicine.
Proceedings of the 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops, 2017

On a recent algorithm for multiple instance learning. Preliminary applications in image classification.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016
A New ICT Based Model for Wellness and Health Care.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

SINSE+: a software for the acquisition and analysis of open data in health and social area.
Proceedings of the 24th Italian Symposium on Advanced Database Systems, 2016

2015
Voice signal features analysis and classification: looking for new diseases related parameters.
Proceedings of the 6th ACM Conference on Bioinformatics, 2015


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