AIMLAI-XKDD@ECMLPKDD19: Joint International Workshop on Advances in
Interpretable Machine Learning and Artificial Intelligence & eXplainable
Knowledge Discovery in Data Mining
Website:
https://kdd.isti.cnr.it/xkdd2019/
Submission link:
https://easychair.org/conferences/?conf=aimlai-xkdd-ecmlpkdd19
Submission deadline:
June 7, 2019
The purpose of AIMLAI-XKDD (Advances in Interpretable Machine Learning
and Artificial Intelligence & eXplainable Knowledge Discovery in Data
Mining), is to encourage principled research that will lead to the
advancement of explainable, transparent, ethical and fair data mining,
machine learning, and artificial intelligence. AIMLAI-XKDD is an event
organized into two moments: a tutorial to introduce audience to the
topic, and a workshop to discuss recent advances in the research field.
The tutorial will provide a broad overview of the state of the art and
the major applications for explainable and transparent approaches.
Likewise it will highlight the main open challenges.
The workshop will seek top-quality submissions addressing uncovered
important issues related to explainable and interpretable data mining
and machine learning models. Papers should present research results in
any of the topics of interest for the workshop as well as application
experiences, tools and promising preliminary ideas. AIMLAI-XKDD asks for
contributions from researchers, academia and industries, working on
topics addressing these challenges primarily from a technical point of
view, but also from a legal, ethical or sociological perspective.
Besides the central topic of interpretable algorithms and explanation
methods, we also welcome submissions that answer research questions like
"how to measure and evaluate interpretability and explainability?" and
"how to integrate humans in the machine learning pipeline for
interpretability purposes?".
Submission Guidelines
Papers must be written in English and formatted according to the
Springer Lecture Notes in Computer Science (LNCS) guidelines following
the style of the main conference (format).
The maximum length of either research or position papers is 12 pages in
this format. Overlength papers will be rejected without review (papers
with smaller page margins and font sizes than specified in the author
instructions and set in the style files will also be treated as overlength).
Authors who submit their work to AIMLAI-XKDD 2019 commit themselves to
present their paper at the workshop in case of acceptance. AIMLAI-XKDD
2019 considers the author list submitted with the paper as final. No
additions or deletions to this list may be made after paper submission,
either during the review period, or in case of acceptance, at the final
camera ready stage.
Condition for inclusion in the post-proceedings is that at least one of
the co-authors has presented the paper at the workshop. Pre-proceedings
will be available online before the workshop. A special issue of a
relevant international journal with extended versions of selected papers
is under consideration.
All papers for AIMLAI-XKDD 2019 must be submitted by using the on-line
submission system
athttps://easychair.org/conferences/?conf=aimlai-xkdd-ecmlpkdd19.
Committees
Tutorial Program Chairs
*
Riccardo Guidotti, KDD Lab, ISTI-CNR, Italy
*
Pasquale Minervini, University College London, UK
*
Anna Monreale, KDD Lab, University of Pisa, Italy
*
Salvatore Rinzivillo, KDD Lab, ISTI-CNR, Italy
Workshop Program Chairs
*
Adrien Bibal, University of Namur, Belgium
*
Tassadit Bouadi, University of Rennes/IRISA, France
*
Benoît Frénay, University of Namur, Belgium
*
Luis Galárraga, Inria/IRISA, France
*
Stefan Kramer, Universität Mainz, Germany
*
Ruggero G. Pensa, University of Turin, Italy
Publication
All accepted papers will be published as post-proceedings in LNCSI and
included in the series name Lecture Notes in Computer Science by Springer.
Venue
The conference will be colocated with the conference ECML/PKDD, which
will be held in the Hubland campus of the University of Würzburg in
Germany on September 20th, 2019.
Contact
All questions about submissions should be emailed to
aimlai-xkdd-ecmlpkd...@easychair.org
--
Benoît FRÉNAY
Associate Professor
Faculty of Computer Science
T. +32 (0)81 724 976 (secr. 725 252)
F. +32 (0)81 724 967
benoit.fre...@unamur.be <mailto:benoit.fre...@unamur.be>
Université de Namur ASBL
Rue de Bruxelles 61 - 5000 Namur
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