[agents] Third CFP: Machine Learning for Data Streams (within ECAI-2020)
he.nugra
he.nugra at alumnos.upm.es
Mon Mar 30 07:16:06 EDT 2020
Dear colleagues,
Due to the conference reschedule because of the coronavirus crisis the
important dates have changed
Please consider submitting a contribution to the
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ECAI-2020 (http://ecai2020.eu/) Workshop entitled "Machine Learning for
Data Streams".
URL: http://www.ml4ds2020.site/
Submission of papers: https://easychair.org/cfp/ml4ds2020
Held in Santiago de Compostela (Spain) on August 29 or 30, 2020 (to be
confirmed).
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We are looking forward to receiving your contributions.
Topics of interest:
- Supervised classification models for data streams
- Clustering methods for data streams
- Discovering association methodology for data streams
- Real and virtual concept drift detection methods
- Evaluation measures in machine learning for data streams
- Anomaly and novelty detection for data streams
Important Dates:
May 24, 2020 – Submission deadline
June 15, 2020 – Final decision to authors
August 29 or 30, 2020 (to be confirmed) – Workshop
Invited talk:
Boaz Lerner (Ben-Gurion University of the Negev, Israel), "Detection of
Concept Drift, Novelty, and Latent Mechanisms in Data Streams"
Publication:
The accepted papers will be published as an edited book by Now
Publishers, indexed in leading databases such as the Web of Science Book
Citation Index and SCOPUS. There will be the hardcover (full color) and
the eBook versions. The paper with the best reviews will be invited to
be extended and submitted to the JCR "International Journal of
Interactive Multimedia and Artificial Intelligence" journal, in a
special issue that will be published by 2021. There will be a special
issue in "Progress in Artificial Intelligence" for an extended version
of the second-best paper.
Organizing Committee:
Concha Bielza, Universidad Politecnica de Madrid, Spain
Pedro Larrañaga, Universidad Politecnica de Madrid, Spain
Joao Gama, Porto University, Portugal
All questions about submissions can be emailed to mcbielza at fi.upm.es,
pedro.larranaga at fi.upm.es and
jgama at fep.up.p
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