Accepted workshops

  • DMS: Data Mining for Service
  • DMESS: Data Mining in Earth System Science
  • ISAW: International Sustainable AI Workshop
  • MLC: Machine Learning for Cybersecurity
  • SocDM: Social Data Mining in the Post-pandemic Era
  • OEDM: Optimization Based Techniques for Emerging Data Mining Problems
  • SENTIRE: Sentiment Elicitation from Natural Text for Information Retrieval and Extraction
  • NeuRec: The Third International Workshop on Advanced Neural Algorithms and Theories for Recommender Systems
  • DMLS: Data Mining in Learning Science
  • EDMML: Evolutionary Data Mining and Machine Learning
  • KG: Knowledge Graph
  • ML-HOS: Machine Learning on Higher-Order Structured data
  • IncrLeam: Incremental classification and clustering, concept drift, novelty detection, active learning in big/fastdatacontext
  • UNIT: Urban Internet-of-Things Intelligence
  • DMBIH: Data Mining in Biomedical Informatics and Healthcare
  • MLoG: Machine Learning on Graphs
  • AESM: Algorithms towards Ethical/Privacy challenges in Social Media recommendation systems
  • FOMO-VL: Foundation Models in Vision and Language
  • ARIAL: AI for Aging, Rehabilitation, and Intelligent Assisted Living
  • MRL: Multi-view Representation Learning
  • HDM: High Dimensional Data Mining
  • UDML 2022: 5th International Workshop on Utility-Driven Mining and Learning
  • DLC: Deep Learning and Clustering
  • SSTDM: Spatial and Spatiotemporal Data Mining
  • WAIN: AI for Nudging and Personalization
Workshop Paper Submission