3rd International Tutorial & Workshop on Interactive Adaptive Learning (IAL2019) @ ECML

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Lemaire Vincent

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May 21, 2019, 3:48:37 AM5/21/19
to Active Learning (Machine Learning)
3rd International Tutorial & Workshop on Interactive Adaptive Learning (IAL2019) @ ECML

All the details here :

Science, technology, and commerce increasingly recognize the importance of machine learning approaches for data-intensive, evidence-based decision making.

 

Science, technology, and commerce increasingly recognize the importance of machine learning approaches for data-intensive, evidence-based decision making. This is accompanied by increasing numbers of machine learning applications and volumes of data. Nevertheless, the capacities of processing systems or human supervisors or domain experts remain limited in real-world applications. Furthermore, many applications require fast reaction to new situations, which means that first predictive models need to be available even if little data is yet available. Therefore approaches are needed that optimize the whole learning process, including the interaction with human supervisors, processing systems, and data of various kind and at different timings: techniques for estimating the impact of additional resources (e.g. data) on the learning progress; techniques for the active selection of the information processed or queried; techniques for reusing knowledge across time, domains, or tasks, by identifying similarities and adaptation to changes between them; techniques for making use of different types of information, such as labeled or unlabeled data, constraints or domain knowledge. Such techniques are studied for example in the fields of adaptive, active, semi-supervised, and transfer learning. However, this is mostly done in separate lines of research, while combinations thereof in interactive and adaptive machine learning systems that are capable of operating under various constraints, and thereby address the immanent real-world challenges of volume, velocity and variability of data and data mining systems, are rarely reported. Therefore, this workshop and tutorial aims to bring together researchers and practitioners from these different areas, and to stimulate research in interactive and adaptive machine learning systems as a whole. It continues a successful series of events at ECML PKDD 2017 in Skopje (Workshop & Tutorial), IJCNN 2018 in Rio (Tutorial), and ECML PKDD 2018 in Dublin (Workshop). (Links to be completed)

 

The workshop aims at discussing techniques and approaches for optimizing 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

o    methods for big, evolving, or streaming data,

o    methods for recent complex model structures such as deep learning neural networks or recurrent neural networks,

o    methods for interacting with imperfect or multiple oracles, e.g. learning from crowds,

o    methods for incorporating domain knowledge and constraints,

o    methods for timing the interaction and for combining different types of information,

o    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

o   for filtering, forgetting, resampling,

o   for active class or feature selection, e.g. from multi-modal data,

o   for detection of change, outliers, frauds, or attacks,

o   new interactive learning protocols and application scenarios, e.g., brain-computer interfaces, crowdsourcing, ...

o   in application in data-intensive science,

o   in applications with real-world deployment,

 

·        Techniques for Combined Interactive Adaptive Learning

o   methods combining adaptive, active, semi-supervised, or transfer learning techniques,

o   cost-aware methods and methods for estimating the impact of employing additional resources, such as data or processing capacities, on the learning progress,

o   methodologies for the evaluation of such techniques, and comparative studies,

o   methods for automating the control of an interactive adaptive learning process.

 

 

 

We welcome submissions of *full papers* (8-16 pages) and *extended abstracts* (2-4 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. All accepted papers will be published at ceur-ws.org (indexed by e.g. google scholar) or within Springer LNCS proceedings depending on the number of submissions. Reviews are single-blind. Please format your papers according to the LNCS format and submit them via EasyChair \url{https://easychair.org/conferences/?conf=ial2019}.

 

Important Dates:

  Paper Submission:     Monday, July 5, 2019

  Author Notification:  Monday, July 19, 2019

  Camera Ready:        Monday, July 26, 2019

  Tutorial & Workshop (Full Day) : Monday, September 16

 

We look forward to your contributions, the organizers,

Adrian Calma, Andreas Holzinger, Daniel Kottke, Georg Krempl, Vincent Lemaire, Robi Polikar, Bernhard Sick

 

 

 

-------------------------------------

Vincent Lemaire - Orange Labs

Research Scientist - Data Mining

http://www.vincentlemaire-labs.fr

-------------------------------------

Emille Ishida

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Jun 12, 2019, 7:16:56 AM6/12/19
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hi Vincent, 

question about this workshop.
your email says that the submission deadline is 5th July but the website says 14 June. 
can you confirm which is the deadline for the abstract submission?

emille

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Lemaire Vincent

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Jun 14, 2019, 12:30:46 PM6/14/19
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Dear Emille

sorry for the mystake the deadline is June 28

the web site has the right information

regards

Vincent
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Lemaire Vincent

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Jun 14, 2019, 12:31:22 PM6/14/19
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Dear Emille

sorry for the mystake the deadline is June 28

the web site has the right information

regards

Vincent

Le mercredi 12 juin 2019 13:16:56 UTC+2, Emille Ishida a écrit :
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vincent...@orange.com

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Jun 14, 2019, 12:32:10 PM6/14/19
to Krempl, G.M. (Georg), active-le...@googlegroups.com, Daniel Kottke
Dear all,

Yes sorry for the mistake

The new key dates are as follows:
Submission: 28 June 2019
Notification: 24 July 2019
Camera Ready: 5 August 2019

vincent


-----Message d'origine-----
De : Krempl, G.M. (Georg) [mailto:g.m.k...@uu.nl]
Envoyé : vendredi 14 juin 2019 17:43
À : active-le...@googlegroups.com
Cc : LEMAIRE Vincent TGI/OLS; Daniel Kottke
Objet : Re: [active-learning-ml] 3rd International Tutorial & Workshop on Interactive Adaptive Learning (IAL2019) @ ECML

Dear Emille,

we extended all deadlines of our workshop by 2 weeks:

The new key dates are as follows:
Submission: 28 June 2019
Notification: 24 July 2019
Camera Ready: 5 August 2019

Best regards
Georg


Am Wed, 12 Jun 2019 13:15:46 +0200
schrieb Emille Ishida <emille...@gmail.com>:
> > <https://groups.google.com/d/msgid/active-learning-ml/d5fb2db2-ae84-4952-bfff-853cb2b352ee%40googlegroups.com?utm_medium=email&utm_source=footer>
> > .
> > For more options, visit https://groups.google.com/d/optout.
> >
>
>

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