Paolo Soda
Orcid: 0000-0003-2621-072X
According to our database1,
Paolo Soda
authored at least 139 papers
between 2006 and 2024.
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Bibliography
2024
BMC Medical Informatics Decis. Mak., December, 2024
Cross-Modality Calibration in Multi-Input Network for Axillary Lymph Node Metastasis Evaluation.
IEEE Trans. Artif. Intell., September, 2024
Pattern Recognit., 2024
AI-based methodologies for exoskeleton-assisted rehabilitation of the lower limb: a review.
Frontiers Robotics AI, 2024
Class Balancing Diversity Multimodal Ensemble for Alzheimer's Disease Diagnosis and Early Detection.
CoRR, 2024
CoRR, 2024
A Systematic Review of Intermediate Fusion in Multimodal Deep Learning for Biomedical Applications.
CoRR, 2024
Not Another Imputation Method: A Transformer-based Model for Missing Values in Tabular Datasets.
CoRR, 2024
A deep learning approach for overall survival prediction in lung cancer with missing values.
Comput. Methods Programs Biomed., 2024
A deep learning approach for virtual contrast enhancement in Contrast Enhanced Spectral Mammography.
Comput. Medical Imaging Graph., 2024
Multi input-Multi output 3D CNN for dementia severity assessment with incomplete multimodal data.
Artif. Intell. Medicine, 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
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
Proceedings of the Ital-IA Intelligenza Artificiale, 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
2023
Correction to: An empirical study on the joint impact of feature selection and data resampling on imbalance classification.
Appl. Intell., April, 2023
Multi-objective optimization determines when, which and how to fuse deep networks: An application to predict COVID-19 outcomes.
Comput. Biol. Medicine, March, 2023
An empirical study on the joint impact of feature selection and data resampling on imbalance classification.
Appl. Intell., March, 2023
CoRR, 2023
MATNet: Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting.
CoRR, 2023
RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy.
IEEE Access, 2023
IEEE Access, 2023
Building an AI-Enabled Metaverse for Intelligent Healthcare: Opportunities and Challenges.
Proceedings of the Italia Intelligenza Artificiale, 2023
Proceedings of the Italia Intelligenza Artificiale, 2023
Proceedings of the Italia Intelligenza Artificiale, 2023
A Comparative Study Between Paired And Unpaired Image Quality Assessment In Low-Dose CT Denoising.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
Early Experiences on using Triplet Networks for Histological Subtype Classification in Non-Small Cell Lung Cancer.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
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
Pattern Recognit., 2022
A Multimodal Ensemble Driven by Multiobjective Optimisation to Predict Overall Survival in Non-Small-Cell Lung Cancer.
J. Imaging, 2022
IEEE Access, 2022
Evaluating Tumour Bounding Options for Deep Learning-based Axillary Lymph Node Metastasis Prediction in Breast Cancer.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the Image Analysis and Processing - ICIAP 2022, 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
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
Introduction to the special issue on Methods and applications in the analysis of social data in healthcare.
Inf. Process. Manag., 2021
Eng. Appl. Artif. Intell., 2021
An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification.
CoRR, 2021
Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma.
Artif. Intell. Medicine, 2021
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
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
IEEE ICCI*CC Series in Year 20: Latest Advances in Cognitive Informatics and Cognitive Computing towards General AI (Plenary Panel Report-I).
Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021
Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021
Proceedings of the 20th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2021
2020
Auto-Regressive Time Delayed jump neural network for blood glucose levels forecasting.
Knowl. Based Syst., 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020
2019
Artif. Intell. Medicine, 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
On Autonomous Systems: From Reflexive, Imperative and Adaptive Intelligence to Autonomous and Cognitive Intelligence.
Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019
Early Experience in Forecasting Blood Glucose Levels Using a Delayed and Auto-Regressive Jump Neural Network.
Proceedings of the 18th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2019
2018
A decision support system for type 1 diabetes mellitus diagnostics based on dual channel analysis of red blood cell membrane fluidity.
Comput. Methods Programs Biomed., 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
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Early experiences in 4D quantitative analysis of insulin granules in living beta-cells.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
2017
IEEE J. Biomed. Health Informatics, 2017
Feature selection and resampling in class imbalance learning: Which comes first? An empirical study in the biological domain.
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017
2016
A survey on using domain and contextual knowledge for human activity recognition in video streams.
Expert Syst. Appl., 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
Early Experiences in Using Blood Cells Biomembranes as Markers for Diabetes Diagnosis.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016
Proceedings of the 2016 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2016
2015
Computer-based automatic identification of neurons in gigavoxel-sized 3D human brain images.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
A multi-environment dataset for activity of daily living recognition in video streams.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Special issue on the analysis and recognition of indirect immuno-fluorescence images.
Pattern Recognit., 2014
Large-scale automated identification of mouse brain cells in confocal light sheet microscopy images.
Bioinform., 2014
A HPC infrastructure for processing and visualizing neuro-anatomical images obtained by Confocal Light Sheet Microscopy.
Proceedings of the International Conference on High Performance Computing & Simulation, 2014
Proceedings of the Data Warehousing and Knowledge Discovery, 2014
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014
2013
Medical Biol. Eng. Comput., 2013
Whole-body isometric force/torque measurements for functional assessment in neuro-rehabilitation: User interface and data pre-processing techniques.
Comput. Methods Programs Biomed., 2013
A Slightly Supervised Approach for Positive/Negative Classification of Fluorescence Intensity in HEp-2 Images.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013
2012
Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012
Biomedical Images Classification by Universal Nearest Neighbours Classifier Using Posterior Probability.
Proceedings of the Machine Learning in Medical Imaging - Third International Workshop, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Proceedings of CBMS 2012, 2012
A bag of visual words approach for centromere and cytoplasmic staining pattern classification on HEp-2 images.
Proceedings of CBMS 2012, 2012
2011
Pattern Recognit., 2011
Artif. Intell. Medicine, 2011
Automatic Recognition of Mitotic HEp-2 Cells.
Proceedings of the Advances in Mass Data Analysis of Images and Signals in Medicine, 2011
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011
2010
Artif. Intell. Medicine, 2010
Human movement onset detection from isometric force and torque measurements: A supervised pattern recognition approach.
Artif. Intell. Medicine, 2010
Decomposition Methods and Learning Approaches for Imbalanced Dataset: An Experimental Integration.
Proceedings of the 20th International Conference on Pattern Recognition, 2010
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010
2009
Aggregation of Classifiers for Staining Pattern Recognition in Antinuclear Autoantibodies Analysis.
IEEE Trans. Inf. Technol. Biomed., 2009
A multiple expert system for classifying fluorescent intensity in antinuclear autoantibodies analysis.
Pattern Anal. Appl., 2009
On the use of classification reliability for improving performance of the one-per-class decomposition method.
Data Knowl. Eng., 2009
Proceedings of the Image Analysis and Processing, 2009
Proceedings of the Image Analysis and Processing, 2009
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009
Proceedings of the Biomedical Engineering Systems and Technologies, 2009
A CAD System for IIF Tests.
Proceedings of the Second International Conference on Health Informatics, 2009
2008
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008
Reliability Estimators for Classification by Decomposition Method: Experiments in the Medical Domain.
Proceedings of the Twenty-First IEEE International Symposium on Computer-Based Medical Systems, 2008
Staining Pattern Classification in Antinuclear Autoantibodies Testing.
Proceedings of the First International Conference on Health Informatics, 2008
Facing Polychotomies through Classification by Decomposition: Applications in the Bio-medical Domain.
Proceedings of the Biomedical Engineering Systems and Technologies, 2008
Experiments on Solving Multiclass Recognition Tasks in the Biological and Medical Domains.
Proceedings of the First International Conference on Biomedical Electronics and Devices, 2008
2007
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007
2006
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006
A Multi-Expert System to Classify Fluorescent Intensity in Antinuclear Autoantibodies Testing.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006