-------- Forwarded Message --------
We organise a workshop to be held at ECML PKDD 2018 on
September 10, 2018 in Dublin (Ireland)
Interactive Adaptive Learning
link :
http://www.uni-kassel.de/go/ial2018
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
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