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Explainable AI, Machine Learning, Signal Processing, eHealth

Biography

Marta Lenatti received a Master Degree in Biomedical Engineering, from Politecnico di Milano in 2020. She is now a PhD student of the Italian National PhD program on Artificial Intelligence (Health and life sciences area) at University Campus Bio-Medico of Rome in collaboration with CNR-IEIIT, and a Visiting Scientist at Toronto Metropolitan University. Her research interests are related to Explainable AI for the extraction of predictive and descriptive biomarkers in patients with chronic disease.

Activities

Employment (2)

Consiglio Nazionale delle Ricerche: Milan, IT

2022-11-01 to present | PhD student in Artificial Intelligence (Health and Life Sciences Area) (Institute of Electronics, Information Engineering and Telecommunications (CNR-IEIIT))
Employment
Source: Self-asserted source
Marta Lenatti

Consiglio Nazionale delle Ricerche: Milan, IT

2021-04 to 2022-10-31 | Research Fellow (Institute of Electronics, Information Engineering and Telecommunications (CNR-IEIIT))
Employment
Source: Self-asserted source
Marta Lenatti

Education and qualifications (2)

Politecnico di Milano: Milan, IT

2018-09 to 2020-12 | Master of Science- Biomedical Engineering
Education
Source: Self-asserted source
Marta Lenatti

Politecnico di Milano: Milan, IT

2015 to 2018 | Bachelor Degree- Biomedical Engineering
Education
Source: Self-asserted source
Marta Lenatti

Works (18)

Exploring Prediabetes Pathways Using Explainable AI on Data from Electronic Medical Records

2024-08-22 | Book chapter
Contributors: Davide Console; Marta Lenatti; Davide Simeone; Karim Keshavjee; Aziz Guergachi; Maurizio Mongelli; Alessia Paglialonga
Source: check_circle
Crossref

Multiclass Counterfactual Explanations Using Support Vector Data Description

IEEE Transactions on Artificial Intelligence
2024-06 | Journal article
Contributors: Alberto Carlevaro; Marta Lenatti; Alessia Paglialonga; Maurizio Mongelli
Source: check_circle
Crossref

Characterization of Synthetic Health Data Using Rule-Based Artificial Intelligence Models

IEEE Journal of Biomedical and Health Informatics
2023 | Journal article
Contributors: Marta Lenatti; Alessia Paglialonga; Vanessa Orani; Melissa Ferretti; Maurizio Mongelli
Source: check_circle
Crossref

Multi-Input Multi-Output Dynamic Modelling of Type 2 Diabetes Progression

2023-10-20 | Book chapter
Contributors: Davide Simeone; Marta Lenatti; Constantino Lagoa; Karim Keshavjee; Aziz Guergachi; Fabrizio Dabbene; Alessia Paglialonga
Source: check_circle
Crossref

A Counterfactual-Based Approach to Prevent Crowding in Intelligent Subway Systems

2023-08-07 | Preprint
Contributors: Alberto Carlevaro; Marta Lenatti; Alessia Paglialonga; Maurizio Mongelli
Source: check_circle
Crossref

A Counterfactual-Based Approach to Prevent Crowding in Intelligent Subway Systems

2023-08-07 | Preprint
Contributors: Alberto Carlevaro; Marta Lenatti; Alessia Paglialonga; Maurizio Mongelli
Source: check_circle
Crossref

Characterization of Inclination Analysis for Predicting Onset of Heart Failure from Primary Care Electronic Medical Records

Sensors
2023-04-24 | Journal article
Contributors: Federica Guida; Marta Lenatti; Karim Keshavjee; Alireza Khatami; Aziz Guergachi; Alessia Paglialonga
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Dual-View Single-Shot Multibox Detector at Urban Intersections: Settings and Performance Evaluation

Sensors
2023-03-16 | Journal article
Contributors: Marta Lenatti; Sara Narteni; Alessia Paglialonga; Vittorio Rampa; Maurizio Mongelli
Source: check_circle
Crossref

Multi-Class Counterfactual Explanations using Support Vector Data Description

2023-03-07 | Preprint
Contributors: Alberto Carlevaro; Marta Lenatti; Alessia Paglialonga; Maurizio Mongelli
Source: check_circle
Crossref

Multi-Class Counterfactual Explanations using Support Vector Data Description

2023-03-07 | Preprint
Contributors: Alberto Carlevaro; Marta Lenatti; Alessia Paglialonga; Maurizio Mongelli
Source: check_circle
Crossref

Counterfactual Building and Evaluation via eXplainable Support Vector Data Description

IEEE Access
2022 | Journal article
Part of ISSN: 2169-3536
Source: Self-asserted source
Marta Lenatti

A novel method to derive personalized minimum viable recommendations for type 2 diabetes prevention based on counterfactual explanations

PLOS ONE
2022-11-17 | Journal article
Contributors: Marta Lenatti; Muhammad Fazal Ijaz; Alberto Carlevaro; Aziz Guergachi; Karim Keshavjee; Maurizio Mongelli; Alessia Paglialonga
Source: check_circle
Crossref

Evaluation of Machine Learning Algorithms and Explainability Techniques to Detect Hearing Loss From a Speech-in-Noise Screening Test

American Journal of Audiology
2022-07-25 | Journal article
Part of ISSN: 1059-0889
Part of ISSN: 1558-9137
Source: Self-asserted source
Marta Lenatti
grade
Preferred source (of 2)‎

Characterization of Type 2 Diabetes Using Counterfactuals and Explainable AI

Studies in Health Technology and Informatics
2022-05-25 | Book chapter
Part of ISSN: 0926-9630
Part of ISSN: 1879-8365
Source: Self-asserted source
Marta Lenatti

Development and Evaluation of a Novel Method for Adult Hearing Screening: Towards a Dedicated Smartphone App

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
2021 | Book chapter
Part of ISBN: 9783030699628
Part of ISBN: 9783030699635
Part of ISSN: 1867-8211
Part of ISSN: 1867-822X
Source: Self-asserted source
Marta Lenatti

Evaluation of a Novel Speech-in-Noise Test for Hearing Screening: Classification Performance and Transducers Characteristics

IEEE Journal of Biomedical and Health Informatics
2021 | Journal article
Part of ISSN: 2168-2194
Part of ISSN: 2168-2208
Source: Self-asserted source
Marta Lenatti

Emotion recognition from multimodal physiological measurements based on an interpretable feature selection method

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
2021-11-01 | Conference paper
Source: Self-asserted source
Marta Lenatti

Analysis of the Effect of Emotion Elicitation on the Cardiovascular System

2021 Computing in Cardiology (CinC)
2021-09-13 | Conference paper
Source: Self-asserted source
Marta Lenatti

Peer review (7 reviews for 4 publications/grants)

Review activity for Applied artificial intelligence : (1)
Review activity for Biomedical engineering online (3)
Review activity for Communications engineering. (1)
Review activity for International journal of audiology. (2)