Michela Antonelli

researcher, ORCID id # 0000-0002-3005-4523

Michela Antonelli is …
instance of (P31):
humanQ5

External links are
P9795ARPI author ID08033
P2456DBLP author ID89/1767
P6178Dimensions author ID010230774161.66
P9956IRIS Sapienza author ID129898
P11654IRIS UNIECAMPUS author ID02499
P496ORCID iD0000-0002-3005-4523
P1153Scopus author ID23392100500
P1556zbMATH author IDantonelli.michela

P734family nameAntonelliQ21504574
AntonelliQ21504574
AntonelliQ21504574
P735given nameMichelaQ12901046
MichelaQ12901046
P6104maintained by WikiProjectWikiProject MathematicsQ8487137
P106occupationresearcherQ1650915
P21sex or genderfemaleQ6581072

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author (P50)
Q108819250A CAD System for Lung Nodule Detection based on an Anatomical Model and a Fuzzy Neural Network
Q108819247A Multi-Classifier System for Pulmonary Nodule Classification
Q108819248A Multi-Objective Genetic Approach to Concurrently Learn Partition Granularity and Rule Bases of Mamdani Fuzzy Systems
Q108819227A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring
Q108819242A Three-Objective Evolutionary Approach to Generate Mamdani Fuzzy Rule-Based Systems
Q108819220A distributed approach to multi-objective evolutionary generation of fuzzy rule-based classifiers from big data
Q108819226A fast and efficient multi-objective evolutionary learning scheme for fuzzy rule-based classifiers
Q108819235A new approach to handle high dimensional and large datasets in multi-objective evolutionary fuzzy systems
Q108819225A novel associative classification model based on a fuzzy frequent pattern mining algorithm
Q111149763Accessible data curation and analytics for international-scale citizen science datasets
Q108819229An efficient multi-objective evolutionary fuzzy system for regression problems
Q108819228An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets
Q104563307Anosmia and other SARS-CoV-2 positive test-associated symptoms, across three national, digital surveillance platforms as the COVID-19 pandemic and response unfolded: an observation study
Q108819141Anosmia, ageusia, and other COVID-19-like symptoms in association with a positive SARS-CoV-2 test, across six national digital surveillance platforms: an observational study
Q108819068Anxiety and depression symptoms after COVID-19 infection: results from the COVID Symptom Study app
Q107737706Artificial Intelligence Compared to Radiologists for the Initial Diagnosis of Prostate Cancer on Magnetic Resonance Imaging: A Systematic Review and Recommendations for Future Studies
Q108242643Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App
Q108819112Attributes and predictors of Long-COVID: analysis of COVID cases and their symptoms collected by the Covid Symptoms Study App
Q106368743Attributes and predictors of long COVID
Q108819069Author Correction: Attributes and predictors of long COVID
Q108819010Changes in symptomatology, re-infection and transmissibility associated with SARS-CoV-2 variant B.1.1.7: an ecological study
Q108685623Changes in symptomatology, reinfection, and transmissibility associated with the SARS-CoV-2 variant B.1.1.7: an ecological study
Q108819236Computer-aided detection of lung nodules based on decision fusion techniques
Q90046791Correction to: Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists
Q108819210Disentangling post-vaccination symptoms from early COVID-19
Q108819230Evolutionary fuzzy classifiers for imbalanced datasets: An experimental comparison
Q108819243Exploiting a New Interpretability Index in the Multi-Objective Evolutionary Learning of Mamdani Fuzzy Rule-Based Systems
Q108819240Exploiting a coevolutionary approach to concurrently select training instances and learn rule bases of Mamdani fuzzy systems
Q108819241Exploiting a three-objective evolutionary algorithm for generating Mamdani fuzzy rule-based systems
Q108819231Feature Selection Based on Fuzzy Mutual Information
Q93373931GAS: A genetic atlas selection strategy in multi-atlas segmentation framework
Q108819233Genetic Training Instance Selection in Multiobjective Evolutionary Fuzzy Systems: A Coevolutionary Approach
Q108819219Hemodynamic matrix factorization for functional magnetic resonance imaging
Q103837520Identification of optimal symptom combinations to trigger diagnostic work-up of suspected COVID-19 cases: analysis from a community-based, prospective, observational cohort
Q108819148Illness duration and symptom profile in a large cohort of symptomatic UK school-aged children tested for SARS-CoV-2
Q108819091Knowledge barriers in the symptomatic-COVID-19 testing programme in the UK: an observational study
Q108819237Learning concurrently data and rule bases of Mamdani fuzzy rule-based systems by exploiting a novel interpretability index
Q108819244Learning concurrently partition granularities and rule bases of Mamdani fuzzy systems in a multi-objective evolutionary framework
Q108819238Learning knowledge bases of multi-objective evolutionary fuzzy systems by simultaneously optimizing accuracy, complexity and partition integrity
Q108819249Lung Nodule Detection using Eye-Tracking
Q92672901Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists
Q108819239Multi-objective evolutionary generation of Mamdani fuzzy rule-based systems based on rule and condition selection
Q108819245Multi-objective evolutionary learning of granularity, membership function parameters and rules of Mamdani fuzzy systems
Q108819234Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers
Q108819222Multiobjective Evolutionary Optimization of Type-2 Fuzzy Rule-Based Systems for Financial Data Classification
Q108819223On the influence of feature selection in fuzzy rule-based regression model generation
Q108819081Post-vaccination SARS-CoV-2 infection: risk factors and illness profile in a prospective, observational community-based case-control study
Q108819246Segmentation and reconstruction of the lung and the mediastinum volumes in CT images
Q108819251Segmentation and reconstruction of the lung volume in CT images
Q57839900Urban and social sensing for sustainable mobility in smart cities
Q108819143Vaccine side-effects and SARS-CoV-2 infection after vaccination in users of the COVID Symptom Study app in the UK: a prospective observational study
Q47107000Whole-body MRI quantitative biomarkers are associated significantly with treatment response in patients with newly diagnosed symptomatic multiple myeloma following bortezomib induction

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