DESCRIPTION The purpose of the Statistical Relational AI (StarAI) workshop is to bring together researchers and practitioners from three fields: logical (or relational) AI/learning, probabilistic (or statistical) AI/learning and neural approaches for AI/learning with knowledge graphs and other structured data. These fields share many key features and often solve similar problems and tasks. Until recently, […]

;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration-style:initial;text-decoration-color:initial;background-color:rgb(255,255,255)”> Workshop: https://sumac-workshops.github.io/2022/  Conference: https://2022.acmmm.org   *** Aims and scope The digitization of large quantities of analogue data and the massive production of born-digital documents for many years now provide us with large volumes of varied multimedia data (images, maps, text, video, multi-sensor data, etc.), an important feature of which is that they are cross-domain. “Cross-domain” reflects the […]

      ACM Digital Library CALL FOR PAPERS ACM Transactions on Human-Robot Interaction Special Issue on Artificial Intelligence for Human-Robot Interaction (AI-HRI) Guest Editors Jivko Sinapov, Tufts University Matteo Leonetti, University of Leeds Katrin Lohan, Heriot-Watt University Zhao Han, Colorado School of Mines Ross Mead, Semio Muneeb Ahmad, Swansea University Emmanuel Senft, University of Wisconsin-Madison Shelly Bagchi, […]

IEEE Symposium on Computational Intelligence for Engineering Solutions (IEEE CIES)   https://www.ieeessci2022.org/symposia_cies.html   Part of IEEE Series of Symposia on Computational Intelligence, Singapore, December 4-7, 2022, https://www.ieeessci2022.org/   Developments in Engineering are characterized by a growing complexity, which is balanced by an extensive utilization of computational resources. This complexity is not only a feature of […]