Georg Krempl

Open challenges for data stream mining research

Georg Krempl, Indrė Žliobaitė, Dariusz Brzeziński et al. · ACM SIGKDD Explorations Newsletter · 2014 · 286 citations

Data Streams, Data Stream, Engineering +15

Optimised probabilistic active learning (OPAL)

Georg Krempl, Daniel Kottke, Vincent Lemaire · Machine Learning · 2015 · 44 citations · Full text

Artificial Intelligence, Interactive Machine Learning, Machine Learning +5

Drift mining in data: A framework for addressing drift in classification

Vera Hofer, Georg Krempl · Computational Statistics & Data Analysis · 2012 · 34 citations

Data Classification, Engineering, Machine Learning +14

Classification in Presence of Drift and Latency

Georg Krempl, Vera Hofer · 2011 · 23 citations

Incremental Learning, Underlying Distributions, Engineering +15

Challenges of Reliable, Realistic and Comparable Active Learning Evaluation

Daniel Kottke, Adrian Calma, Denis Huseljic et al. · Data Archiving and Networked Services (DANS) · 2017 · 20 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17