DS 2021 : International Conference on Discovery Science

in Conferences   Posted on April 19, 2021 

Conference Information

Submission Deadline Sunday 16 May 2021 Proceedings indexed by :
Conference Dates Oct 11, 2021 - Oct 13, 2021
Conference Address Halifax, Canada
Conference & Submission Link https://ds2021.cs.dal.ca/
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 1.32
#Contributing Top Scientists 8
#Papers published by Top Scientists 13
Google Scholar H5-index 11
Number of Editions: 24
Guide2Research Overall Ranking: 751
Category Rankings
Machine Learning & Artificial Intelligence 165
Web, Mobile & Multimedia Technologies 134
Proceedings https://link.springer.com/conference/dis

Conference Call for Papers

Possible topics include, but are not limited to:

Artificial intelligence (machine learning, knowledge representation and reasoning, natural language processing, statistical methods, etc.) applied to science
Machine learning: supervised learning (including ranking, multi-target prediction and structured prediction), unsupervised learning, semi-supervised learning, active learning, reinforcement learning, online learning, transfer learning, etc.
Knowledge discovery and data mining
Causal modelling
AutoML, meta-learning, planning to learn
Machine learning and high-performance computing, grid and cloud computing
Literature-based discovery
Ontologies for science, including the representation and annotation of datasets and domain knowledge
Explainable AI, interpretability of machine learning and deep learning models
Process discovery and analysis
Computational creativity
Anomaly detection and outlier detection
Data streams, evolving data, change detection, concept drift, model maintenance
Network analysis
Time-series analysis
Learning from complex data
Graphs, networks, linked and relational data
Spatial, temporal and spatiotemporal data
Unstructured data, including textual and web data
Multimedia data
Data and knowledge visualization
Human-machine interaction for knowledge discovery and management
Evaluation of models and predictions in discovery setting
Machine learning and cybersecurity
Applications of the above techniques in scientific domains, such as
Physical sciences (e.g., materials sciences, particle physics)
Life sciences (e.g., systems biology/systems medicine)
Environmental sciences
Natural and social sciences

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