Connectionists: ESANN 2021 SS CFP - Anomaly and change point detection, in geometric and non-vector data (deadline extension: May 17)

[Fabrice Rossi]

[Apologies if you receive multiple copies of this CFP]

Call for papers: special session on "Anomaly and change point detection
in geometric and non-vector data" at ESANN 2021 -
https://www.esann.org/special-sessions

European Symposium on Artificial Neural Networks, Computational
Intelligence and Machine Learning (ESANN 2021).
6-8 October 2021, Bruges, Belgium - http://www.esann.org

Non vector data are ubiquitous in contemporary data science
applications. They take various forms, from simple categorical
observations to dynamic graphs. In some cases, they also integrate a
temporal component. Because of the geometry implied by their quantized
nature, non-vector data raise specific challenges in the context of
abnormal behaviour detection. Consider for instance a time series which
values are vertices of a graph: how can we extend the notion of change
point detection in such a series? What about a time series of full graphs?

Numerous research directions have been explored in this context,
including, among others the following ones:

 - vector embedding
 - dissimilarity based methods
 - generative models
 - kernel methods
 - deep learning
 - etc.

This special session is driven by two related and complementary issues:

 - detecting outliers in non-vector data
 - detecting anomalies and change-points in non-vector data with a
temporal dimension, whether in online and/or offline fashion.

Non-vector data may include, but are not limited to, the following cases:
 - categorical data, especially when the number of categories is high or
when some structure exists over the categories (such as a taxonomy)
 - texts, for instance organized in collections or evolving through time
as the results of editions
 - graphs, including temporal graphs, attributed graphs, etc.
 - other (semi)structured data such as for instance computer programs in
binary or source form, XML documents, etc.

We encourage submission of theoretical results, methodological advances
and novel applications.

SUBMISSION:

Prospective authors must submit their paper through the ESANN portal
following the instructions provided in https://www.esann.org/node/6.
Papers will undergo a peer reviewing process for acceptance.

IMPORTANT DATES:

 - Paper submission (updated) deadline: 17 May 2021
 - Notification of acceptance: 20 July 2021
 - Deadline for final papers: 20 August 2021
 - The ESANN 2021 conference: 06-08 October 2021

Organisers:

  - Madalina Olteanu (Madalina.Olteanu at dauphine.psl.eu) CEREMADE -
Université Paris Dauphine PSL
  - Fabrice Rossi (Fabrice.Rossi at dauphine.psl.eu) CEREMADE - Université
Paris Dauphine PSL
  - Florian Yger (Florian.Yger at dauphine.psl.eu) LAMSADE - Université
Paris Dauphine PSL