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32nd International Conference on Inductive Logic Programming (ILP 2023)
University of Bari "Aldo Moro", Bari, Italy, 13-15 November 2023.
https://ilp2023.unife.it/
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SUBMISSION DEADLINE: 1st Sept. 2023
There is still time to contribute papers in the following two
categories:
*Late-breaking abstracts*, briefly outlining novel ideas and proposals
that the authors would like to present at the conference. These could
include e.g. original work in progress without conclusive experimental
findings, or other relevant work, not yet ready for publication.
Submissions of late-breaking abstracts will be accepted/rejected on the
grounds of relevance. Accepted late-breaking abstracts will be published
on the conference website. Late-breaking abstracts must not exceed 4
pages, including references.
*Recently published papers* relevant to ILP, or papers recently accepted
for publication by a first-class conference such as ECML/PKDD, ICML,
KDD, ICDM, AAAI, IJCAI, etc. or journal such as MLJ, DMKD, JMLR etc.
These will be accepted/rejected on the grounds of relevance and quality
of the original publication venue. For papers of this category a link to
the original work will be published on the conference website. Authors
should submit the abstract and the PDF file of the original submission,
specifying in the abstract the original venue where the paper was
accepted in addition to the acceptance date. Authors submitting a
recently published paper should submit it through IJCLR's "Recently
Published Papers Track" option from the submission page.
Late-breaking abstracts and recently published papers will be assigned a
reduced slot for presentation at the conference.
SUBMISSIONS
We solicit submissions in all areas of learning in logic and
multi-relational data mining. Areas of interest include, but are not
limited to:
- Theory of ILP, foundations of logical & relational learning,
computational learning theory.
- Learning in various logical representations and formalisms, such
as logic programming & answer set programming, first-order &
higher-order logic, description logic & ontologies.
- Statistical relational learning, including structure/parameter
learning for probabilistic logic languages, relational probabilistic
graphical models, kernel-based methods, neural-symbolic learning.
- Meta-interpretive learning & predicate invention.
- Semi-supervised & unsupervised relational learning.
- Methods for scaling-up ILP, parallel & distributed relational
learning.
- Incremental & online relational learning, learning from data
streams.
- Applications of ILP.
Submissions will be handled by EasyChair. To submit a paper to ILP,
authors are invited to follow the submission link
(https://easychair.org/conferences/?conf=ijclr2023) and select the ILP
track. For recently published papers please use the "Recently Published
Papers Track".
Submissions must be in Springer LNCS format, according to the Springer
LNCS author instructions. Already published papers should be submitted
in their original format and the authors should indicate the original
publication venue.
--
Riccardo Zese, PhD
Università di Ferrara
Via Luigi Borsari 46, I-44121, Ferrara, Italy
Tel.: +39 0532974802
www.unife.it
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