Ackermann, Klaus

1. Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices
   2022/03/21 by Hansika Hewamalage, Klaus Ackermann, Hewamalage, Hansika +3 · 1 voice · 16 citations
   Computer Science · Decision Sciences · Mathematics · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Methodology (stat.ME) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting #cs.LG #stat.ME
2. The Internet as Quantitative Social Science Platform: Insights from a\n Trillion Observations
   2017/01/19 by Klaus Ackermann, Simon D. Angus, Ackermann, Klaus +5 · 3 voices
   Computer Science · Economics, Econometrics and Finance · Environmental Science · Mathematics · Medicine · Physics and Astronomy · Social Sciences · #Computers and Society (cs.CY) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #FOS: Economics and business #FOS: Physical sciences #General Economics (econ.GN) #Human Mobility and Location-Based Analysis #Impact of Light on Environment and Health #Machine Learning (stat.ML) #Opinion Dynamics and Social Influence #Physics and Society (physics.soc-ph) #Social Capital and Networks #Social Media and Politics #Social and Information Networks (cs.SI) #cs.CY #cs.SI #econ.GN #physics.soc-ph #stat.ML
3. Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty
   2022/09/29 by Satya Borgohain, Klaus Ackermann, Borgohain, Satya +3 · 1 citation
   Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fault Detection and Control Systems #I.2 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification