ECML-PKDD Applied/ADS Paper Review Instance: Difference between revisions
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Latest revision as of 12:30, 19 April 2024
An ECML-PKDD Applied/ADS Paper Review Instance is a applied AI academic paper review instance of an ECML-PKDD ADS Paper (within the ECML-PKDD ADS track).
- Context:
- It can (typically) scrutinize the paper's contribution to Applied Machine Learning, its technical soundness, and its relevance to real-world problems.
- It can (often) engage multiple reviewers to provide expert opinions on the paper's methodology, results, and potential impact in the field.
- It can focus on assessing the merits and applicability of the Scientific Paper submitted to the track.
- It can examine the clarity with which the paper presents its findings and the robustness of the data analysis performed.
- It can assess whether the paper adheres to ethical standards required in research, particularly regarding data usage and potential societal impacts.
- It can also evaluate the reproducibility of the results and the practicality of the proposed solutions in real-world scenarios.
- ...
- Example(s):
- An instance where a paper on novel machine learning applications for real-world problems is evaluated for its methodological rigor and potential practical impact.
- An instance where a paper is critiqued for its clarity, structure, and the robustness of its experimental validations.
- ...
- Counter-Example(s):
- See: Peer Review Process, Applied Data Science, Peer Review, Machine Learning Application, Research Paper Evaluation, Scientific Conference