TY - CONF AU - Arostegi, Maria AU - Lobo, Jesus L. AU - Del Ser, Javier PY - 2021 SN - 1613-0073 UR - https://hdl.handle.net/11556/3094 AB - Classification models learned from data streams often assume the availability of true labels after predicting new examples, either instantly or with some delay with respect to inference time. However, in many real-world scenarios comprising sensors,... LA - eng TI - SLAYER: A Semi-supervised Learning Approach for Drifting Data Streams under Extreme TY - conference output ER -