Klaus Ackermann

Orcid: 0000-0001-7693-8538

According to our database1, Klaus Ackermann authored at least 11 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Probabilistic Causal Effect Estimation With Global Neural Network Forecasting Models.
IEEE Trans. Neural Networks Learn. Syst., April, 2024

2023
Forecast evaluation for data scientists: common pitfalls and best practices.
Data Min. Knowl. Discov., March, 2023

2022
Bayesian Neural Network Versus Ex-Post Calibration For Prediction Uncertainty.
CoRR, 2022

Ensembled Deep Learning for the Classification of Human Sperm Head Morphology.
Adv. Intell. Syst., 2022

2021
Causal Inference Using Global Forecasting Models for Counterfactual Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020
Estimating Sleep & Work Hours from Alternative Data by Segmented Functional Classification Analysis (SFCA).
CoRR, 2020

Object Recognition for Economic Development from Daytime Satellite Imagery.
CoRR, 2020

2018
Deploying Machine Learning Models for Public Policy: A Framework.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2017
The Internet as Quantitative Social Science Platform: Insights from a Trillion Observations.
CoRR, 2017

2016
Designing Policy Recommendations to Reduce Home Abandonment in Mexico.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014
A Resource Efficient Big Data Analysis Method for the Social Sciences: The Case of Global IP Activity.
Proceedings of the International Conference on Computational Science, 2014


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