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

Happy to announce that the 6th edition of the workshop on Advances in Interpretable Machine Learning and Artificial Intelligence Advances will be held this year jointly with ECML/PKDD 2023.

This year the workshop will be complemented with a tutorial on Explainable Graph-ML.

Deadline: June 27, 2023.

Call for papers: https://lnkd.in/eWvp74t8

Website: https://lnkd.in/eeZNFSZG

#machinelearning #artificialintelligence #ml #xai #graphml

(Migrating to sigmoid.social. Sorry for reposting)

#Introduction

Hi Mastodon :mastodondance: ! This is Jiaqi Ma. I'm currently a postdoc at #Harvard Business School. I'm also an incoming assistant professor in the School of Information Sciences at #UIUC.

My research interests include trustworthy machine learning, graph machine learning, and recommender systems. Recently, I'm also dipping into explainable ML and NLP.

More at jiaqima.com

#machinelearning #trustworthyML #graphML #recsys #XAI

My first #introduction toot 😂 !
Hi, I'm a PhD candidate at the VU Amsterdam.
I'm interested in combining ML and specifically Graph ML approaches with background knowledge to predict novel, viable and interesting research hypotheses to investigate and propose research directions. Also into biomedical AI and apply my research on problems such as interaction prediction (DDI, DTI) and more.

#ai #machinelearning #deeplearning #graphml #bioinformatics #cheminformatics #scientificdiscovery