Interactive Adaptive Learning
IAL@ECMLPKDD 2018
- URL: http://www.uni-kassel.de/go/ial2018
- Event Date: 2018-09-10 ~ 2018-09-10
- Abstract Submission Date: 2018-07-02
- Submission Date: 2018-07-23
- Location: Dublin, Ireland
We organize 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 technqiues,
(*) 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 \url{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
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 technqiues,
(*) 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 \url{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
Journal Promotion
|
| Acta Koreana (Acta Koreana) |
|
| Acta Via Serica (AVS) |
|
| Computers and Concrete (CAC) |
|
| Journal of Information Processing Systems (JIPS) |
|
| Journal of Internet Computing and Services (KSII - JICS) |
|
| Journal of Smart Tourism (Smart Tourism) |
|
| Membrane and Water Treatment (MWT) |
|
| Wind and Structures, An International Journal (Wind and Structures) |
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