posted by user: ivan_bajic || 5088 views || tracked by 5 users: [display]

IEEE DSLW 2021 : IEEE Data Science and Learning Workshop

FacebookTwitterLinkedInGoogle

Link: https://conferences.ece.ubc.ca/dslw2021/
 
When Jun 5, 2021 - Jun 6, 2021
Where Toronto, Canada
Submission Deadline Oct 28, 2020
Notification Due Feb 15, 2021
Final Version Due Mar 5, 2021
Categories    machine learning   signal processing   data science   optimization
 

Call For Papers

The 2021 IEEE Data Science & Learning Workshop (DSLW 2021), to be co-located with ICASSP 2021, will be held at the University of Toronto, June 5-6, 2021. The workshop is organized by the IEEE Signal Processing Society (supported by the SPS Data Science Initiative). It aims to bring together researchers in academia and industry to share the most recent and exciting advances in data science and learning theory and applications. The workshop provides a venue for innovative data science & learning studies in various academic disciplines, including signal processing, statistics, machine learning, data mining and computer vision. Both studies on theoretical and methodological foundations and application studies in different domains (e.g., health care, earth and environmental science, applied physics, finance and economics, intelligent manufacturing) are welcome.

The technical program will include invited plenary talks, as well as regular oral and poster sessions with contributed research papers. Papers are solicited in, but not limited to, the following areas:

- Statistical learning algorithms, models and theories
- Machine learning theories, models and systems
- Computational models and representation for data science
- Visualization, summarization, and analytics
- Acquisition, storage, and retrieval for big data
- Large scale optimization
- Learning, modeling, and inference with data
- Data science process and principles
- Ethics, privacy, fairness, security and trust in data science and learning (explainable AI, federated learning, collaborative learning, etc)
- Applications: biology and medicine; audio, image, and video analytics; social media; business and finance; applications leveraging domain knowledge for data science.

The organizing committee is closely monitoring the worldwide health and travel situation and will be considering novel hybrid and, if necessary, fully virtual conference models.

Related Resources

MLDM 2023   18th International Conference on Machine Learning and Data Mining
IEEE ICA 2022   The 6th IEEE International Conference on Agents
CFDSP 2023   2023 International Conference on Frontiers of Digital Signal Processing (CFDSP 2023)
IEEE SSCI 2023   2023 IEEE Symposium Series on Computational Intelligence
IJCNN 2023   International Joint Conference on Neural Networks
ICISPP 2023   IEEE--2023 4th International Conference on Information Security and Privacy Protection (ICISPP 2023)
FAIML 2023   2023 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2023)
ICCSN 2023   IEEE--2023 15th International Conference on Communication Software and Networks (ICCSN 2023)
CVPR 2023   The IEEE/CVF Conference on Computer Vision and Pattern Recognition
IEEE ICVR 2023   2023 the 9th International Conference on Virtual Reality (ICVR 2023)--IEEE, SCI