Rosa Sicilia

Orcid: 0000-0002-2513-0827

According to our database1, Rosa Sicilia authored at least 38 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection.
CoRR, 2024

Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine.
Artif. Intell. Medicine, 2024

Translating Image XAI to Multivariate Time Series.
IEEE Access, 2024

Exploring Negated Entites for Named Entity Recognition in Italian Lung Cancer Clinical Reports.
Proceedings of the pHealth 2024 - Proceedings of the 20th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2024


Virtual Scanner: Leveraging Resilient Generative AI for Radiological Imaging in the Era of Medical Digital Twins.
Proceedings of the Ital-IA Intelligenza Artificiale, 2024

Low-Rank Tensor Completion for Heart Failure Exacerbation Detection in Multivariate Time Series with Missing Data.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

2023
RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy.
IEEE Access, 2023

A Cascade of Learners for Firemen' Emergency Events Classification.
IEEE Access, 2023

Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges.
Proceedings of the Italia Intelligenza Artificiale, 2023

Making AI trustworthy in multimodal and healthcare scenarios.
Proceedings of the Italia Intelligenza Artificiale, 2023

Sustainable AI: inside the deep, alongside the green.
Proceedings of the Italia Intelligenza Artificiale, 2023

Named Entity Recognition in Italian Lung Cancer Clinical Reports using Transformers.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Exploring Early Stress Detection from Multimodal Time Series with Deep Reinforcement Learning.
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.
Pattern Recognit., 2022

A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer.
J. Imaging, 2022

Exploiting AI to make insulin pens smart: injection site recognition and lipodystrophy detection.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

2021
Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series.
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.
Medical Image Anal., 2021

Rule-based space characterization for rumour detection in health.
Eng. Appl. Artif. Intell., 2021

Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma.
Artif. Intell. Medicine, 2021

Evaluating GANs in Medical Imaging.
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.
Proceedings of the International Conference on Information and Digital Technologies, 2021

Representation and Knowledge Transfer for Health-related Rumour Detection.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Exploring Deep Pathomics in Lung Cancer.
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.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Explainable AI for Car Crash Detection using Multivariate Time Series.
Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021

2020
Categorizing the feature space for two-class imbalance learning.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

On Using Meta-Features to Learn Under Class Skew in Biomedical Domains.
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.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

Radiomics-Based Non-Invasive Lymph Node Metastases Prediction in Breast Cancer.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
Tackling imbalance radiomics in acoustic neuroma.
Int. J. Data Min. Bioinform., 2019

Early Radiomic Experiences in Classifying Prostate Cancer Aggressiveness using 3D Local Binary Patterns.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018
Twitter rumour detection in the health domain.
Expert Syst. Appl., 2018

Exploratory Radiomics for Predicting Adaptive Radiotherapy in Non-Small Cell Lung Cancer.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

Cross-topic Rumour Detection in the Health Domain.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Radiomics for Predicting CyberKnife response in acoustic neuroma: a pilot study.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Health-related rumour detection on Twitter.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017


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