Paolo Soda

Orcid: 0000-0003-2621-072X

According to our database1, Paolo Soda authored at least 126 papers between 2006 and 2024.

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Bibliography

2024
Multi-Scale Texture Loss for CT denoising with GANs.
CoRR, 2024

Translating Image XAI to Multivariate Time Series.
IEEE Access, 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

A Deep Learning Approach for Virtual Contrast Enhancement in Contrast Enhanced Spectral Mammography.
CoRR, 2023

A Deep Learning Approach for Overall Survival Prediction in Lung Cancer with Missing Values.
CoRR, 2023

LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space.
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

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

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

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

Multimodal Explainability via Latent Shift applied to COVID-19 stratification.
CoRR, 2022

PyTrack: A Map-Matching-Based Python Toolbox for Vehicle Trajectory Reconstruction.
IEEE Access, 2022

MLOps: A Taxonomy and a Methodology.
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

Optimized Fusion of CNNs to Diagnose Pulmonary Diseases on Chest X-Rays.
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
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

Introduction to the special issue on Methods and applications in the analysis of social data in healthcare.
Inf. Process. Manag., 2021

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

An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification.
CoRR, 2021

EDITORIAL.
Comput. Intell., 2021

Visual4DTracker: a tool to interact with 3D + t image stacks.
BMC Bioinform., 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

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

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

Artificial intelligence against COVID-19 Pandemic using Chest X-ray Images.
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

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

A computer-aided diagnosis system for HEp-2 fluorescence intensity classification.
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
Twitter rumour detection in the health domain.
Expert Syst. Appl., 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

Hospital 4.0 and Its Innovation in Methodologies and Technologies.
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

Discovering COPD phenotyping via simultaneous feature selection and clustering.
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

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
A Decision Support System for Tele-Monitoring COPD-Related Worrisome Events.
IEEE J. Biomed. Health Informatics, 2017

ECG databases for biometric systems: A systematic review.
Expert Syst. Appl., 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

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

2016
Automated Neuron Tracing Methods: An Updated Account.
Neuroinformatics, 2016

A survey on using domain and contextual knowledge for human activity recognition in video streams.
Expert Syst. Appl., 2016

Towards automated neuron tracing via global and local 3D image analysis.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

On Using Active Contour to Segment HEp-2 Cells.
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

Automatic Neuron Tracing Using a Locally Tunable Approach.
Proceedings of the 29th IEEE International Symposium on Computer-Based Medical Systems, 2016

On the remote detection of COPD-related worrisome events.
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
Mitotic cells recognition in HEp-2 images.
Pattern Recognit. Lett., 2014

Special issue on the analysis and recognition of indirect immuno-fluorescence images.
Pattern Recognit., 2014

Multiple subsequence combination in human action recognition.
IET Comput. Vis., 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

"Real-time" Instance Selection for Biomedical Data Classification.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Real-Time Biomedical Instance Selection.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

Early Experiences in COPD Exacerbation Detection.
Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2013
Benchmarking HEp-2 Cells Classification Methods.
IEEE Trans. Medical Imaging, 2013

Centromere and cytoplasmic staining pattern recognition: a local approach.
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

Softmax Regression for ECOC Reconstruction.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

Solving biomedical classification tasks by softmax reconstruction in ECOC framework.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

2012
Trends in computer-based medical systems.
SIGHIT Rec., 2012

Polichotomies on Imbalanced Domains by One-per-Class Compensated Reconstruction Rule.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2012

A Double-Ensemble Approach for Classifying Skewed Data Streams.
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

Combining video subsequences for human action recognition.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A One-per-Class reconstruction rule for class imbalance learning.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A classification-based approach to segment HEp-2 cells.
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
A multi-objective optimisation approach for class imbalance learning.
Pattern Recognit., 2011

A decision support system for Crithidia Luciliae image classification.
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

Mitotic HEp-2 Cells Recognition under Class Skew.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

Automatic Facial Expression Recognition Using Statistical-Like Moments.
Proceedings of the Image Analysis and Processing - ICIAP 2011, 2011

An efficient autofocus algorithm for indirect immunofluorescence applications.
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

Color to grayscale staining pattern representation in IIF.
Proceedings of the 24th IEEE International Symposium on Computer-Based Medical Systems, 2011

2010
Knowledge discovery and computer-based decision support in biomedicine.
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

A 2D segmentation algorithm for the analisys of TBY-2 cells.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

Early experiences in mitotic cells recognition on HEp-2 slides.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

Methods for greyscale representation of HEp-2 colour images.
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

Analysis and Classification of Crithidia Luciliae Fluorescent Images.
Proceedings of the Image Analysis and Processing, 2009

A Hybrid Approach Handling Imbalanced Datasets.
Proceedings of the Image Analysis and Processing, 2009

An experimental comparison of MES aggregation rules in case of imbalanced datasets.
Proceedings of the Twenty-Second IEEE International Symposium on Computer-Based Medical Systems, 2009

Advances in Computer-Based Autoantibodies Analysis.
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
A Supervised Pattern Recognition Approach for Human Movement Onset Detection.
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
A Hybrid Multi-Expert Systems for HEp-2 Staining Pattern Classification.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

Early Experiences in the Staining Pattern Classification of HEp-2 Slides.
Proceedings of the 20th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2007), 2007

2006
Video-Rhino-Hygrometer (RH).
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Automatic Acquisition of Immunofluorescence Images: Algorithms and Evaluation.
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


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