posted by user: ivor || 35795 views || tracked by 112 users: [display]

ACML 2012 : Asian Conference on Machine Learning


Conference Series : Asian Conference on Machine Learning
When Nov 4, 2012 - Nov 6, 2012
Where Singapore
Submission Deadline Aug 6, 2012
Notification Due Sep 8, 2012
Final Version Due Sep 24, 2012
Categories    machine learning   data mining   artificial intelligence

Call For Papers

The 4th Asian Conference on Machine Learning (ACML2012) will be held on November 4-6, 2012, at the Singapore Management University, Singapore. The conference aims at providing a leading international forum for researchers in machine learning and related fields to share their new ideas and achievements. The conference program consist of tutorials, workshops, invited keynote talks by distinguished researchers as well as single track sessions of research paper presentations. The invited keynote speakers for ACML 2012 are

James Rehg (Georgia Tech),
Dale Schuurmans (University of Alberta), and
Bob Williamson (Australian National University and NICTA).

The conference solicits research papers reporting original investigation results and proposals focusing on frontier research in all aspects of machine learning. Submissions from other than the Asia-Pacific regions are also highly encouraged. Each paper will be rigorously reviewed by at least three reviewers and reviewing is double-blind. The proceedings will be published after the conference as a volume of Journal of Machine Learning Research(JMLR): Workshop and Conference Proceedings. Besides, authors of selected papers will be invited to submit a significantly extended version of their paper to a post-conference special issue of the Machine Learning journal. The best student paper will receive an award sponsored by the Machine Learning journal.

Paper Submission:

Please submit your paper(s) at the paper submission site. Each submission should be regarded as an undertaking that, if the paper is accepted, at least one of the authors must attend the conference to present the work. No-show papers will not be included in the proceedings.

This year ACML will have a new feature: two submission deadlines. The late deadline has the usual “accept” or “reject” outcomes. In addition to the two outcomes, the early deadline also has "conditional accept subject to required revisions", and “resubmit” with notification in time for them to make the final deadline. The submission of "conditional accept" decision is strongly encouraged to carefully address the review comments in their revision. The revision without addressing the review comments properly might be rejected. The submission of "resubmit" decision must be significantly improved and revised before it can be re-submitted in the late deadline. Fresh submissions that have not caught up with the early deadline are also welcome for the late deadline.

Further details about policies regarding paper formats, paper submission, dual submission, and conference no-shows are at the conference website.

Important Dates

Early Paper Submission: 8 May
Early Notification: 24 June
Final Paper Submission: 6 Aug
Final Notification: 8 Sept
Camera ready: 24 Sept
Conference: November 4-6, 2012

Paper Format

The proceedings will be published after the conference as a volume of Journal of Machine Learning Research (JMLR): workshop and conference proceedings. The detailed paper formats will be announce here at a later date.

Program Chairs

Wray Buntine (NICTA)
Steven C.H. Hoi (Nanyang Technological University)

Senior Program Committee

Edward Chang (Google Research Asia)
Wei Fan (IBM TJ Watson Lab)
Xaiofei He (Zhejiang University)
Tu Bao Ho (Japan)
Chun-Nan Hsu (University of Southern California)
Aapo Hyvarinen (Helsinki Institute for Information Technology)
Rong Jin (Michigan State University)
Kristian Kersting (University of Bonn)
Irwin King (Chinese University of Hong Kong)
James Kwok (Hong Kong University of Science and Technology)
Pavel Laskov (University of Tubingen)
Yuh-Jye Lee (NTUST)
YoonKyung Lee (Ohio State University)
Ping Li (Cornell University)
Hang Li (Microsoft Research Asia)
Phil Long (Google)
Klaus-Robert Muller (Technical University Berlin)
Bernhard Pfahringer (University of Waikato)
Scott Sanner (Australian National University)
Shirish Shevade (Indian Institute of Science)
Masashi Sugiyama (Tokyo Institute of Technology)
Jieping Ye (Arizona State University)
Dell Zhang (Birbeck College University of London)
Min-Ling Zhang (Southeast University)
Xiaojin Jerry Zhu (University of Wisconsin (Madison)

Related Resources

Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
IJCAI 2022   31st International Joint Conference on Artificial Intelligence
IEEE COINS 2022   IEEE COINS 2022: Hybrid (3 days on-site | 2 days virtual)
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
MLDM 2022   18th International Conference on Machine Learning and Data Mining
ACML 2021   The 13th Asian Conference on Machine Learning
IEEE COINS 2022   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems |
ICADCML 2022   3rd International Conference on Advances in Distributed Computing and Machine Learning - 2022
CiViE 2022   6th International Conference On Civil Engineering
IJCNN 2023   International Joint Conference on Neural Networks