Nico Piatkowski - Böcker

The two volume set LNCS 14641 and 14642 constitutes the proceedings of the 22nd International Symposium on Intelligent Data Analysis, IDA 2024, which was held in Stockholm, Sweden, during April 24-26, 2024. The 40 full and 3 short papers included in the proceedings were carefully reviewed and selected from 94 submissions.

The two volume set LNCS 14641 and 14642 constitutes the proceedings of the 22nd International Symposium on Intelligent Data Analysis, IDA 2024, which was held in Stockholm, Sweden, during April 24-26, 2024. The 40 full and 3 short papers included in the proceedings were carefully reviewed and selected from 94 submissions.

For all autonomous devices the development of resource-aware machine learning techniques is required to reduce the tremendous resource consumption. This work provides theoretical and practical building blocks to bring full-fledged machine learning pipelines to systems with very low computational power or highly restricted energy supply. The presentation of theoretical methods is accompanied by actual learning results on ultra-low-power hardware.