Alfredo Vellido
I am currently a full professor (formerly a Ramón y
Cajal researcher) at CS / UPC,
and part of the SOCO
SGR Research Group
and the IDEAI
Research Center. Member of the CIBER-BBN,
IABiomed
and the IEEE-CIS
Data Mining and Big Data Analytics Technical
Committee ,
in which I am Chair of the
Explainable
Machine Learning (EXML) Task Force
and a member of the Task
Force on Medical Data Analysis.
Member of the Editorial Boards of PLoS ONE,
Neural
Processing Letters and Frontiers
in Artificial Intelligence, Medicine and Public Health.
CS academic
coordinator at Escola Superior d’Enginyeries
Industrial, Aeroespacial i Audiovisual de Terrassa
(ESEIAAT)
Deputy Academic Director of the CS
department.
Special Sessions
Currently
Organized:
The
Coming of Age of Explainable AI (XAI) and
Machine Learning, IJCNN 2023, (Queensland, Australia)
Explainable AI in
Healthcare (XAI-Healthcare 2023) Workshop,
AIME
2023, (Portoroz, Slovenia)
Analysis of Molecular Dynamics Data in
Proteomics, IWBBIO
2023, (Gran Canaria, Spain)
Some
invited talks:
1st Industrial Conference on
AI and Health (ICAIH 2019), Milano, Italy, 2019: "Cautionary
Tales about the Application of AI in
Health"
Workshop
on the Impact of Artificial Intelligence in
Healthcare
(UPF, Barcelona, Spain), 2019: "Interpretability,
explainability, and rigurous validation of AI
tools for clinical decison making"
2nd Science
for Dialysis Meeting: Artificial
Intelligence at
Bellvitge University Hospital (Barcelona, Spain),
2018:
"Social
beasts: societal challenges of AI and ML
in medicine" (youtube
video)
Some past conferences/special
sessions/workshops over the last five years:
ESANN
2021 (virtual event)
"Interpretable Models in Machine
Learning and Explainable Artificial
Intelligence"
IJCNN
2021 (virtual event) "Transparent
and Explainable Artificial
Intelligence (XAI) for Health"
WCCI/IJCNN
2020 (Glasgow, Scotland, UK) "Explainable
Computational/Artificial Intelligence
Methods"
IJCNN
2019 (Budapest, Hungary) "Explainable
Machine Learning"
IDEAL
2019 (Manchester, UK) "Machine
Learning in Healthcare"
ESANN
2019 (Bruges, Belgium) "Societal
Issues in Machine Learning: When Learning
from Data is Not Enough"
WSOM+2019 Conference
in Barcelona, Spain (June 26-28, 2019)
