Call for Papers: 5th International Workshop on Learning to Quantify (LQ 2025)
Call for Papers: 5th International Workshop on Learning to Quantify (LQ 2025) at ECML/PKDD 2025
The 5th International Workshop on Learning to Quantify (LQ 2025) will be held at the 2025 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2025) in Porto, PT. The workshop aims to bring together researchers and practitioners interested in methods, algorithms, evaluation measures, and methodologies for Learning to Quantify (LQ).
We seek papers on topics of relevance to LQ, including binary, multiclass, multilabel, and ordinal LQ, supervised algorithms for LQ, semi-supervised/transductive LQ, deep learning for LQ, representation learning for LQ, LQ and dataset shift, evaluation measures for LQ, experimental protocols for the evaluation of LQ, quantification of streaming data, cost-sensitive quantification, improving classifier performance via LQ, and novel applications of LQ.
Papers should be submitted via the EasyChair system at https://easychair.org/conferences/?conf=lq2025 and should be formatted according to Springer’s LNCS template. The paper submission deadline is June 14, 2025.
Important: By submitting a paper, authors commit to having one of them register and present the paper at the workshop in case of acceptance.
- Paper submission deadline: June 14, 2025
- A/R notification deadline: July 14, 2025
- Final copy submission deadline: September 5, 2025
Tags: Learning to Quantify, LQ 2025, ECML/PKDD 2025, Machine Learning, Quantification, Classification, Deep Learning, Representation Learning