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SAIS 2021: Sweden
- Swedish Artificial Intelligence Society Workshop, SAIS 2021, Sweden, June 14-15, 2021. IEEE 2021, ISBN 978-1-6654-4236-7
- Karl Holmquist, Lena Klasén, Michael Felsberg:
Class-Incremental Learning for Semantic Segmentation - A study. 1-4 - Filip Simán, Nils Jansson, Tobias A. Kampmann, Foteini Liwicki:
Rock Classification with Machine Learning: a Case Study from the Zinkgruvan Zn-Pb-Ag Deposit, Bergslagen, Sweden. 1-5 - Einav Peretz-Andersson, Niklas Lavesson, Albert Bifet
, Patrick Mikalef
AI Transformation in the Public Sector: Ongoing Research. 1-4 - Martin Cooney, Felipe Valle
Robot First Aid: Autonomous Vehicles Could Help in Emergencies. 1-4 - Alexander Bridgwater, András Bóta
Identifying regions most likely to contribute to an epidemic outbreak in a human mobility network. 1-4 - Elinore Stenhager, Niklas Lavesson:
Hit Detection in Sports Pistol Shooting. 1-4 - Ali Usman
Machine Learning Computational Fluid Dynamics. 1-4 - Esteban Guerrero
Towards motivation-driven intelligent interfaces: formal argumentation meets activity theory. 1-4 - Qinghua Wang
Smart Sewage Water Management and Data Forecast. 1-4 - Christian Günther, Nils Jansson, Marcus Liwicki, Foteini Simistira Liwicki:
Towards a Machine Learning Framework for Drill Core Analysis. 1-6 - Emil Brissman, Joakim Johnander, Michael Felsberg:
Predicting Signed Distance Functions for Visual Instance Segmentation. 1-6 - Elina Kock, Yamma Sarwari, Nancy Russo, Magnus Johnsson
Identifying cheating behaviour with machine learning. 1-4
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