2 papers
cs.HC2026
Designing Accessible and Rigorous ML Experiments: No-Code Visual Workflows and Structured Guidance for Beginners
Henrik H. J. Detjen, David Pfrang, Max Westphal +3
Designing machine learning (ML) experiments requires beginners to plan a methodologically sound workflow and implement it in a concrete environment. We evaluated two forms of suppo…
cs.LG2025
From Data to Diagnosis: A Large, Comprehensive Bone Marrow Dataset and AI Methods for Childhood Leukemia Prediction
Henning Höfener, Farina Kock, Martina Pontones +9
Leukemia diagnosis primarily relies on manual microscopic analysis of bone marrow morphology supported by additional laboratory parameters, making it complex and time consuming. Wh…