Rosa Sicilia

Lorenzo Ricciardi Celsi

IEEE Access, 2024

2023

RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy.

[BibT_eX]

[DOI]

IEEE Access, 2023

A Cascade of Learners for Firemen' Emergency Events Classification.

[BibT_eX]

[DOI]

IEEE Access, 2023

Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges.

[BibT_eX]

[DOI]

Proceedings of the Italia Intelligenza Artificiale, 2023

Making AI trustworthy in multimodal and healthcare scenarios.

[BibT_eX]

[DOI]

Proceedings of the Italia Intelligenza Artificiale, 2023

Sustainable AI: inside the deep, alongside the green.

[BibT_eX]

[DOI]

Proceedings of the Italia Intelligenza Artificiale, 2023

Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays.

[BibT_eX]

[DOI]

Valerio Guarrasi

Pattern Recognit., 2022

A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer.

[BibT_eX]

[DOI]

J. Imaging, 2022

Exploiting AI to make insulin pens smart: injection site recognition and lipodystrophy detection.

[BibT_eX]

[DOI]

Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021

Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2021

AIforCOVID: Predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre study.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

Rule-based space characterization for rumour detection in health.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma.

[BibT_eX]

[DOI]

Artif. Intell. Medicine, 2021

Evaluating GANs in Medical Imaging.

[BibT_eX]

[DOI]

Proceedings of the Deep Generative Models, and Data Augmentation, Labelling, and Imperfections, 2021

Describing rumours: a comparative evaluation of two handcrafted representations for rumour detection.

[BibT_eX]

[DOI]

Luisa Francini

Proceedings of the International Conference on Information and Digital Technologies, 2021

Representation and Knowledge Transfer for Health-related Rumour Detection.

[BibT_eX]

[DOI]

Luisa Francini

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Exploring Deep Pathomics in Lung Cancer.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

A Multi-Expert System to Detect COVID-19 Cases in X-ray Images.

[BibT_eX]

[DOI]

Valerio Guarrasi

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Explainable AI for Car Crash Detection using Multivariate Time Series.

[BibT_eX]

[DOI]

Lorenzo Tronchin

Lorenzo Ricciardi Celsi

Daniele Maccagnola

Massimo Natale

Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021

2020

Categorizing the feature space for two-class imbalance learning.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

On Using Meta-Features to Learn Under Class Skew in Biomedical Domains.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Time-Window SIQR Analysis of COVID-19 Outbreak and Containment Measures in Italy.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Radiomics-Based Non-Invasive Lymph Node Metastases Prediction in Breast Cancer.

[BibT_eX]

[DOI]

Carlo Cosimo Quattrocchi

Bruno Beomonte Zobel

Giulio Iannello

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019

Tackling imbalance radiomics in acoustic neuroma.

[BibT_eX]

[DOI]

Rolando Maria D'Angelillo

Int. J. Data Min. Bioinform., 2019

Early Radiomic Experiences in Classifying Prostate Cancer Aggressiveness using 3D Local Binary Patterns.

[BibT_eX]

[DOI]

Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018

Twitter rumour detection in the health domain.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

Exploratory Radiomics for Predicting Adaptive Radiotherapy in Non-Small Cell Lung Cancer.

[BibT_eX]

[DOI]

Patrizia Cornacchione

Edy Ippolito

Giulio Iannello

Patrizia Benedetta Dragone

Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Cross-topic Rumour Detection in the Health Domain.

[BibT_eX]

[DOI]

Sara Esposito

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Radiomics for Predicting CyberKnife response in acoustic neuroma: a pilot study.

[BibT_eX]

[DOI]