We are happy to announce that Avi (Avigdor) Gal will deliver the keynote of the Business Process Optimization workshop (https://lnkd.in/eNfDTprR). In an interactive session, he will discuss his ideas on responsible decision making in business process design. In particular, he will discuss responsible use of data and AI in business processes. Read more: https://lnkd.in/eE-iFs4P
The paper “An unsupervised machine learning approach to the spatial analysis of urban systems through neighbourhoods’ dynamics” is a result of a collaborative effort with Alon Sagi, Avigdor Gal, Dani Broitman, and Danny Czamanski. It tells the story of the dynamics that affect the social-environmental sustainability of UK’s urban system using unsupervised learning. Read about …
CopycHats is an LLM-based agent that performs schema matching just like humans, allowing us to test revolving doors research questions that we cannot with humans. Matan Solomon presented this work, co-authored with Bar Genossar and Avigdor Gal as part of the hilda2024 workshop in SIGMOD. Link: https://dl.acm.org/doi/10.1145/3665939.3665963
Improving entity resolution while playing battleship? Yes, we can. The paper, co-authored by Bar Genossar, Roee Shraga, and Avigdor Gal, was presented in sigmod2024, offering an active learning approach to entity resolution, using spatial uncertainty over a vectorspace.
