With the advancements in Artificial Intelligence (AI), AI techniques are being utilized in various real-world applications. While explainability of AI models is often not necessary when there are no significant consequences for incorrect outcomes, it remains crucial in safety-critical areas like Healthcare and Autonomous Vehicles. This has led to a growing demand for interpretability in Deep Learning models. The number of publications on Explainable AI/Interpretable ML has been increasing in recent years, as evident from major AI conferences such as ICML.
Knowledge Graph Conference 2023: A Learning Experience
DaSe Lab members Pascal Hitzler, Cogan Shimizu, Md kamruzzaman Sarker, Lu Zhou, Monireh Ebrahimi, Joseph Zalewski, Andrew Eells, and alumnus Raghava Mutharaju a
DaSe Lab members Pascal Hitzler, Cogan Shimizu, Md kamruzzaman Sarker, Lu Zhou, Monireh Ebrahimi, Aaron Eberhart, and Abhilekha Dalal attended the ISWC 202
Below an update to a list posted some time ago on DaSe Lab videos and audio publicly available. If you know of anything missing from the lists, please let us know.
Ashish Darbari of axiomise interviewed Pascal Hitzler for a podcast in June 2020 on topics related to semantic web and neuro-symbolic integration.
Podcast on the axiomise page.
Podcast on youtube (sound only).
By Cogan Shimizu.
Adila Krisnadhi, Cogan Shimizu, Raghava Mutharaju at ISWC 2019
As of August 2019, DaSeLab will find a new home at the Department of Computer Science at Kansas State University. We're looking forward to the new adventures!
Four membes of the DaSe Lab - Michelle Cheatham, Md Kamruzzaman Sarker, Cogan Shimizu and Lu Zhou - visited the 17th International Semantic Web Confernece, ISWC 2018, this year in Monterey, California, which is the key annual conference in the field.
IOS Press just launched it's linked data portal LD Connect. With contributions by Krzysztof Janowicz's STKO Lab and DaSe Lab.