posted by user: AnnalisaAppice || 3060 views || tracked by 8 users: [display]

LSHC 2011 : Joint ECML/PKDD - PASCAL Workshop on Large-Scale Hierarchical Classification: Call for Papers

FacebookTwitterLinkedInGoogle

Link: http://lshtc.iit.demokritos.gr/LSHC2_workshop
 
When Sep 5, 2011 - Sep 5, 2011
Where Athens
Submission Deadline Jun 20, 2011
Notification Due Jul 8, 2011
Final Version Due Jul 21, 2011
Categories    machine learning   artificial intelligence   classification
 

Call For Papers

Call for Papers

LSHC2: Joint ECML/PKDD - PASCAL Workshop on Large-Scale Hierarchical Classification

September 5, 2011 (as part of the ECML/PKDD 2011 conference)

http://lshtc.iit.demokritos.gr/LSHC2_workshop


*********************************************************

SCOPE

Hierarchies are becoming ever more popular for the organization of documents, particularly on the Web (e.g. Web directories). Along with their widespread use comes the need for automated classification of new documents to the categories in the hierarchy. Research on large-scale classification so far has focused on large numbers of documents and/or large numbers of features, with a limited number of categories. However, this is not the case in hierarchical category systems, such as DMOZ or Wikipedia. Approaching this problem, researchers have either extended existing large-scale classifiers, or have developed new models and methods.

LSHC2 is the second in the series of workshops on large-scale hierarchical classification. The workshop aims at bringing together researchers and practitioners of large-scale category systems and thus welcomes theoretical studies, as well as studies reporting the development of large-scale categorizers or components of such categorizers. In particular, some of the issues that we expect to cover in the workshop are:

* Learning to classify against many categories
* Data sparseness in the presence of large datasets
* Use of the statistical dependence of hierarchically organized classes
* The role of shrinkage methods in large hierarchies
* Ensemble methods for hierarchical classification
* Extending existing large-scale classifiers to hierarchies
* Computational issues in large-scale categorization
* Challenging hierarchical classification tasks and datasets

*********************************************************

IMPORTANT DATES

* Paper submission - June 20
* Acceptance notification - July 8
* Final paper - July 21

*********************************************************

SUBMISSIONS

We encourage submissions on all aspects of large-scale categorization, from purely theoretical work to practical developments of large-scale categorizers. Submissions must be written in English, following the LNCS guidelines and must not exceed 12 pages including references and figures.
The Easychair electronic submission system will be used for the papers.
Please, refer to the workshop page for details about the submission format and process.

*********************************************************

ORGANISERS

George Paliouras, NCSR "Demokritos", Athens, Greece Eric Gaussier, UJF/LIG, Grenoble, France Aris Kosmopoulos, NCSR "Demokritos" and AUEB, Athens, Greece Ion Androutsopoulos, AUEB, Athens, Greec Thierry Artières, LIP6, Paris, France Patrick Gallinari, LIP6, Paris, France

Related Resources

IPM-LLMDQKG 2025   Special issue of Information Processing & Management on Large Language Models and Data Quality for Knowledge Graphs
ECAI 2024   27th European Conference on Artificial Intelligence
AGCA 2024   Workshop on Advancements of Global Challenges Applications
IEEE ICA 2022   The 6th IEEE International Conference on Agents
Security 2025   Special Issue on Recent Advances in Security, Privacy, and Trust
CCVPR 2024   2024 International Joint Conference on Computer Vision and Pattern Recognition (CCVPR 2024)
NeurIPS 2024   The Thirty-Eighth Annual Conference on Neural Information Processing Systems
FLLM 2024   The 2nd International Conference on Foundation and Large Language Models
TRS 2025   Transportation Research Symposium
AAAI-MAKE 2024   AAAI 2024 Spring Symposium on Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge