Quantifying differences in feature importance rankings of #machinelearning #classification could enhance #interpretability and #explainability: we show how through the rank-biased overlap similarity measure. Take a look at my novel work!
https://link.springer.com/chapter/10.1007/978-3-031-15037-1_11
Check also my oral communication at the Brain Informatics 2022
In case you missed the live, here the recording of the BI2022 Special Session on EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR UNVEILING THE BRAIN: FROM THE BLACK-BOX TO THE GLASS-BOX (XAIB)
15th July 2022, 14:00-16:00 (GMT+2), with Prof. Monica Hernandez, Dr. Bojan Bogdanovic and Dr. Antonio Parziale
https://drive.google.com/file/d/1yr_tbZ-9QXTQWHrkIlRi_9bohkGCEpzI/view?usp=sharing
My Editorial for the Special Issue on “Machine Learning in Healthcare and Biomedical Application”
https://www.mdpi.com/1999-4893/15/3/97/htm
In case you missed the live, here the recording of the BI2021 Special Session on EXPLAINABLE ARTIFICIAL INTELLIGENCE FOR UNVEILING THE BRAIN: FROM THE BLACK-BOX TO THE GLASS-BOX (XAIB)
18th September 2021, 14:00-16:00 UK time (GMT+1), with Dr. Rich Caruana, Dr. Michele Ferrante and Dr. Dimitris Pinotsis:
https://drive.google.com/file/d/1YHdJu_PHXH_s9To7dZQ66q2OFG4-6VNK/view?usp=sharing
Machine Learning e Neuroimaging: se vi va di saperne qualcosa in più, ho fatto una bella chiacchierata sui miei lavori di ricerca con Giuseppe Dejan Lucido.
Qui il link all’intervista video su youtube: Episodio 15 – Alessia Sarica
So glad we had the front page of the Journal Algorithms MDPI for the work “A Novel Approach for Cognitive Clustering of Parkinsonisms through Affinity Propagation“!
Dear Colleagues,
I’m glad to invite you to submit original scientific contributions for the Special Issue “Machine Learning in Healthcare and Biomedical Application” that I’ve organized for the Journal “Algorithms” MDPI. The updated deadline is the 31th March 2021.
Please, feel free to contact me for further information.
https://www.mdpi.com/journal/algorithms/special_issues/Machine_Learning_Biomedical_Application
Could the AI and the Machine Learning support the neuropsychologists in their work?
We tried to answer to this question together with a colleague of mine, Dr. Maria Grazia Vaccaro, a neuropsychologist, in a new work presented at the XXV Congress of Experimental Psychology (Congresso AIP Sezione Sperimentale – Milano-San Raffaele, 18-20 Settembre 2019).
Our abstract, titled “Neuropsychological evaluation could be predictive of different clinical phenotypes of PSP: a machine learning study” won the Travel Grant Award, and it was presented in a mini-talk by Maria Grazia, just a couple of days ago.
We aimed at providing a new way to study the neuropsychological alterations of Parkinson’s disease, Progressive Supranuclear Palsy and its phenotypes PSP-P and PSP-RS, by using the AI for supporting the differential diagnosis.
This is still a challenge, but our findings are encouraging!
Lo scorso Ottobre, sono stata invitata, con mio immenso piacere, al XXXII Congresso Nazionale della Società Italiana di Criminologia, per parlare di un topic davvero innovativo: l’uso della Risonanza Magnetica nella Criminologia.
Sebbene l’America sia molto più avanti di noi in questo campo, la criminologia italiana comincia ad affacciarsi con interesse a l’utilizzo delle Neuroscienze in ambito giuridico.
Condivido con voi il mio power point e vi lascio con una domanda: può, anche in questo campo, l’Intelligenza Artificiale essere di supporto nei processi giuridici per crimini violenti?
RisonanzaMagneticaeCriminologia_Sarica
Alessia Sarica 