 |
 |
[Apologies for multiple postings] *********************************************************************** 1st CALL FOR PAPERS Special Session on Automatic Machine Learning (AutoML) @ IJCNN 2019 July 14-19, 2019, Budapest, Hungary Web site: https://tinyurl.com/y7vgwrvb Paper submission: https://ieee-cis.org/conferences/ijcnn2019/upload.php (select: S12. Automatic Machine Learning as main research topic) ************************************************************************ Machine learning has achieved great successes in online advertising, recommender systems, financial market analysis, computer vision, computational linguistics, bioinformatics and many other fields. However, its success crucially relies on human machine learning experts involved in all systems design stages. Commonly, humans make critical decisions that include: converting real world problems into machine learning problems, data collection and preprocessing, feature engineering, selecting or designing model architectures, tuning model hyper-parameters, evaluating model performance, deploying on-line systems, and so on. The complexity of these tasks, which is often beyond non-experts, together with the rapid growth of machine learning applications, have motivated a huge demand for off-the-shelf machine learning methods that can be used easily and without expert knowledge. We call the resulting research area that targets at progressive automation of machine learning AutoML (Automatic Machine Learning). In this context, we are organizing a special session on Automatic Machine Learning (AutoML) collocated with the International Joint Conference on Neural Networks 2019 (IJCNN2019) that aims to compile the latest progress on this topic. The scope of the proposed special session covers all aspects of automatic machine learning, with special interest in supervised learning. The following are topics of interest for the special session: ● Model selection, hyper-parameter optimization, and model search ● Neural architecture search ● Meta learning and transfer learning ● Automatic feature extraction / construction ● Automatic generation of workflows / workflow reuse ● Automatic problem "ingestion" (from raw data and miscellaneous formats) ● Automatic feature transformation to match algorithm requirements ● Automatic detection and handling of skewed data and/or missing values ● Automatic acquisition of new data (active learning, experimental design) ● Automatic report writing (providing insight on automatic data analysis) ● Automatic selection of evaluation metrics / validation procedures ● Automatic selection of algorithms under time/space/power constraints ● Automatic prediction post-processing and calibration ● Automatic leakage detection ● Automatic inference and differentiation ● User interfaces and human-in-the-loop approaches for AutoML ● Automatic machine learning in the life long learning setting. ● Automatic model generation for evolving data streams. ● AutoML in the presence of concept drift. ● Hyper-heuristics ● Automatic hybridization of techniques ● Automatic operator creation ● Automatic heuristic generation ● Explainable machine learning ****************************** Paper Submission ****************************** Please submit your paper using the following link: https://ieee-cis.org/conferences/ijcnn2019/upload.php ** Make sure to select: S12. Automatic Machine Learning as main research topic in the submission system! ** Accepted papers will be published in IEEE IJCNN2019 proceedings. Authors should follow the instructions from INNS- IJCNN for preparing their papers: https://injcnn.memberclicks.net/paper-submission-guidelines ****************************** Journal Special Issue ****************************** A Special Issue associated to the workshop and challenge is planned in a top tier journal (more information coming soon). ****************************** Important dates ****************************** - Deadline for paper submission: December 15, 2018 - Author notification of acceptance: January 30, 2019 ******************************* Special session organizers ******************************* Hugo Jair Escalante, INAOE, Mexico, ChaLearn, USA (contact person, [log in to unmask]) Nelishia Pillay, University of Pretoria, South Africa Isabelle Guyon, UPSud and researcher at INRIA (Université Paris-Saclay), France Rong Qu, University of Nottingham, UK Wei-Wei Tu, 4Paradigm Inc., China -- This message and attachments are subject to a disclaimer. Please refer to http://upnet.up.ac.za/services/it/documentation/docs/004167.pdf <http://upnet.up.ac.za/services/it/documentation/docs/004167.pdf> for full details. ######################################################################## To unsubscribe from the AI-SGES list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=AI-SGES&A=1