Titlebook: Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, Albert Bifet,Jesse Davis,Indrė Žliobaitė Confer

FLIT

Data is Moody: Discovering Data Modification Rules from Process Event Logsding patterns in the activity sequences of an event log, while ignoring event attribute data. Event attribute data has mostly been used to predict event occurrences and process outcome, but the state of the art neglects to mine succinct and interpretable rules describing how event attribute data cha

Mhc-Molecule

Innocence

Conference proceedings 2024om this track, were selected from 30 submissions. These papers are present in the following volume: Part VIII... ..Applied Data Science Track: .The 56 full papers presented here, from this track, were carefully reviewed and selected from 224 submissions. These papers are present in the following volumes: Part IX and Part X..

EXCEL

Improving Diversity in Black-Box Few-Shot Knowledge Distillationning on-the-fly. Our approach helps expand and improve the diversity of the distillation set, significantly boosting student accuracy. Through extensive experiments, we achieve state-of-the-art results among other few-shot KD methods on seven image datasets. The code is available at ..

四牛在弯曲

种子

挣扎

delta-waves

慢跑

Absenteeism

Machine Learning and Knowledge Discovery in Databases. Research Track978-3-031-70344-7Series ISSN 0302-9743 Series E-ISSN 1611-3349