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,
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.
Organized the WSOM+2019 Conference in
Barcelona, Spain (June 26-28, 2019).
Some recent 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)
Recently organized
conference special sessions/workshops
you might want to know about:
ESANN 2021 (virtual
event) "Interpretable Models in Machine Learning and
Explainable Artificial Intelligence"
Some past special
sessions/workshops:
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"
ESANN
2018 (Bruges, Belgium) "Deep
Learning in Bioinformatics and Medicine",
IWBBIO
2018 (Granada, Spain) "Interpretable
Models in Biomedicine and Bioinformatics",
IJCNN
2017 (Anchorage, Alaska,
USA) "Machine Learning for Enhancing
Biomedical Data Analysis", and
NIPS
2017 (Long Beach, CA, USA) "Transparent
and interpretable Machine
Learning in Safety Critical Environments"
