Dear Colleagues,
Due to requests, we have extended the submission deadline to December 20th.
See the revised call below.
# CFP: IJAR Special Issue on Robustness in Probabilistic Graphical Models
Probabilistic Graphical Models (PGM) have become the de facto framework
for representing and manipulating probabilistic knowledge in the Machine
Learning and Artificial Intelligence communities. The specification of
the numerical parameters of these models relies either on estimates
obtained from data or on subjective knowledge elicited from experts. In
either case, such parameters are prone to imprecisions and inaccuracies
resulting from noisy, incomplete or scarce data, poor human judgment,
unaccounted factors, or a combination of these situations. Such issues
can be linked to a lack of model robustness, and addressing them is
crucial if such models are to be used to support scientific theories or
to automate tasks in a reliable manner.
## Description
This special issue aims at collecting papers concerned with achieving
robustness in probabilistic graphical models. Topics of interest
include, but are not limited to:
- Methods for sensitivity analysis in PGMs;
- Empirical analysis of PGMs' robustness;
- Non-trivial robustness issues in PGMs (e.g. adversarial examples);
- Design of inference, learning, or decision making techniques that are
robust to perturbations and/or outliers in data, in elicited knowledge,
or in model parameters;
- Robust analysis and design of robustness measurements;
- Extensions of PGMs that account for imprecision and incompleteness in
data and knowledge;
- Reliable qualitative learning and reasoning;
- Robust treatment of missing data;
- Computational complexity of learning, inference and/or decision making
with robust models.
## Instructions For Submission
Submissions should be carried out through the EVISE system:
http://www.evise.com/evise/jrnl/IJA <http://www.evise.com/evise/jrnl/IJA>
When submitting a manuscript, authors should **select "VSI:Robustness in
PGMs" as the article type**. Submissions will follow the standard
reviewing process of IJAR. In order to guarantee an efficient process,
articles will enter the revision process as soon as they are submitted,
and be published in a Virtual Issue. The latter entails that publication
will occur as soon as an acceptance decision is reached (an not on the
final publication date).
Submissions should comply with the high-quality standards of IJAR, and
will be assessed by their originality, relevance and contribution to the
topic of this special issue. While there is no limit for the length of
manuscripts, typical articles contain between 20-40 pages in IJAR
format.
## Important Dates
Submission Deadline: December 20th, 2018. Since reviewing starts as soon
as a paper is submitted, we encourage early submissions.
Publication: papers will be virtually published as soon as accepted.
## Guest Editors
Denis Deratani Maua', University of Sao Paulo, Brazil, denis.m...@usp.br
<mailto:denis.m...@usp.br>
Cassio P. de Campos, Utrecht University, The Netherlands, c.decam...@uu.nl
<mailto:c.decam...@uu.nl>
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