CFP - Interactive Adaptive Learning Workshop @ ECML PKDD

[Georg Krempl]

We invite paper and abstract submissions and participation in the
  Interactive Adaptive Learning Workshop
  https://www.ies.uni-kassel.de/p/ial2018/index.html
at ECML PKDD 2018 in September in Dublin.

The workshop aims at discussing techniques and approaches for optimising
the whole learning process, including the interaction with human
supervisors, processing systems, and includes adaptive, active,
semi-supervised, and transfer learning techniques, and combinations
thereof in interactive and adaptive machine learning systems. Our
objective is to bridge the communities researching and developing these
techniques and systems in machine learning and data mining. Therefore, we
welcome contributions that present a novel problem setting, propose a
novel approach, or report experience with the practical deployment of such
a system and raise unsolved questions to the research community.

In particular, we welcome contributions that address aspects including,
but not limited to:

(*) Novel Techniques for Active, Semi-Supervised, Transfer Learning
    - methods for big, evolving, or streaming data,
    - methods for recent complex model structures such as DL neural networks
    - methods for interacting with imperfect or multiple oracles, e.g.
learning from crowds,
    - methods for incorporating domain knowledge and constraints,
    - methods for timing the interaction and for combining different types
of information,
    - online and ensemble methods for evolving models and systems, with
specific switching and fusion techniques, and (inter-)active data
integration techniques,

(*) Innovative Use and Applications of Active, Semi-Supervised, Transfer
Learning
    - for filtering, forgetting, resampling,
    - for active class or feature selection, e.g. from multi-modal data,
    - for detection of change, outliers, frauds, or attacks,
    - new interactive learning protocols and application scenarios, e.g.,
brain-computer interfaces, crowdsourcing, ...
    - in application in data-intensive science,
    - in applications with real-world deployment,

(*) Techniques for Combined Interactive Adaptive Learning
    - methods combining adaptive, active, semi-supervised, or transfer
learning techniques,
    - cost-aware methods and methods for estimating the impact of
employing additional resources, such as data or processing capacities,
on the learning progress,
    - methodologies for the evaluation of such techniques, and comparative
studies,
    - methods for automating the control of an interactive adaptive
learning process.


We welcome submissions of *full papers* (max. 10 pages) and *extended
abstracts* (up to 2 pages). Each paper will be single-blinded
peer-reviewed, and upon selection be presented and discussed at the
workshop. For extended abstracts, works-in-progress or industrial
experiences are welcome. At least one author of each accepted paper must
be registered to the conference. We intend to publish the workshop
proceedings within the open-access, indexed CEUR Workshop Proceedings
series. Please format your papers according to the LNCS format and submit
them via EasyChair https://easychair.org/conferences/?conf=ial2018.

Important Dates:
Paper Submission:
  - Monday, July 2, 2018 (Full papers)
  - Monday, July 23, 2018 (Extended abstracts)
Author Notification:
  - Monday, July 23, 2018 (Full papers)
  - Monday, July 30, 2018 (Extended abstracts)
Camera Ready:
  - Monday, August 6, 2018
Workshop:            
  - Monday, September 10, 2018

We look forward to your contributions, the organisers,
Adrian Calma, Andreas Holzinger, Daniel Kottke, Georg Krempl, Vincent Lemaire, Robi Polikar, Bernhard Sick