José OramasOur survey on the #intepretability/#explainability of Capsule Networks was accepted at #Neurocomputing. Give it a look while it is free to access.
https://doi.org/10.1016/j.neucom.2025.132025
Following some requests, the deadline for #AIMLAI at ECML-PKDD'23 has been extended until 30/06.
Looking forward to receive your submissions.
Call for papers: https://lnkd.in/eWvp74t8
Website: https://lnkd.in/eeZNFSZG
#xai #ai #ml #graphml #machinelearning #artificialintelligence #intepretability
AIMLAI@ECML/PKDD 2023 : Joint Tutorial on Explainable GraphML and International Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence
AIMLAI@ECML/PKDD 2023 : Joint Tutorial on Explainable GraphML and International Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence
Less than one week for the submission deadline of #AIMLAI at ECML-PKDD'23. Looking forward to receive your short and long papers.
The workshop will be complemented by a great keynote speaker and a tutorial on Explainable GraphML.
Call for papers: https://lnkd.in/eWvp74t8
Website: https://lnkd.in/eeZNFSZG
#xai #ai #ml #graphml #machinelearning #artificialintelligence #intepretability
AIMLAI@ECML/PKDD 2023 : Joint Tutorial on Explainable GraphML and International Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence
AIMLAI@ECML/PKDD 2023 : Joint Tutorial on Explainable GraphML and International Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence
We are thrilled to announce that Prof. Mihaela van der Schaar (University of Cambridge, UK) will be giving a keynote presentation at the #AIMLAI #workshop at ECML-PKDD'23. Prof. Van der Schaar is an active contributor and author of salient work in the field
link: https://project.inria.fr/aimlai
#xai #intepretability #ml #ai
link: https://project.inria.fr/aimlai
#xai #intepretability #ml #ai