Christoph Bergmeir
ScholarGPS® ID: 35308592985384
Affiliation History
Discipline
Computer Science
Top Specialties
Forecasting | Neural Network | Machine Learning | Artificial Intelligence | Asthma | Computational Statistics | Data Mining | Deep Learning
Metrics Summary
Publication Count
75
Predicted Citations
4,740
Predicted h-index
26
Ranking
Publications and Citation History
Publications based on Top Specialties
Types of Publication
- Publications
- Books
- Patents
- NIH/NSF
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Probabilistic Causal Effect Estimation With Global Neural Network Forecasting Models (journal article) IEEE Transactions on Neural Networks and Learning Systems, volume 35, issue 4, pages 4999-5013 (2024). |
Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions (journal article) International Journal of Forecasting, volume 40, issue 2, pages 597-615 (2024). |
Local and global trend Bayesian exponential smoothing models (journal article) International Journal of Forecasting (2024). |
Causal Effect Estimation With Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand (journal article) IEEE Transactions on Power Systems, volume 39, issue 2, pages 3417-3430 (2024). |
Deep Active Audio Feature Learning in Resource-Constrained Environments (journal article) IEEE/ACM Transactions on Audio, Speech, and Language Processing, volume 32 (2024). |
Counterfactual Predictions in Shared Markets: A Global Forecasting Approach with Deep Learning and Spillover Considerations (journal article) SSRN Electronic Journal (2024). |
Time series adversarial attacks: an investigation of smooth perturbations and defense approaches (journal article) International Journal of Data Science and Analytics (2023). |
An overview of clustering methods with guidelines for application in mental health research (journal article) Psychiatry Research, volume 327 (2023). |
Paying attention to cardiac surgical risk: An interpretable machine learning approach using an uncertainty-aware attentive neural network (journal article) PLOS ONE, volume 18, issue 8, pages e0289930- (2023). |
Frontiers in Cardiovascular Medicine, volume 10 (2023). |
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting (journal article) Machine Learning, volume 112, issue 7, pages 2555-2591 (2023). |
LoMEF: A framework to produce local explanations for global model time series forecasts (journal article) International Journal of Forecasting, volume 39, issue 3, pages 1424-1447 (2023). |
Adaptive dependency learning graph neural networks (journal article) Information Sciences, volume 625 (2023). |
International Journal of Forecasting, volume 39, issue 2, pages 641-658 (2023). |
Data Mining and Knowledge Discovery, volume 37, issue 2, pages 788-832 (2023). |
Handling Concept Drift in Global Time Series Forecasting (book chapter) In Forecasting with Artificial Intelligence Springer Nature Switzerland (2023) |
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices (journal article) Pattern Recognition, volume 133 (2023). |
Machine learning to predict adverse outcomes after cardiac surgery: A systematic review and meta‐analysis (journal article) Journal of Cardiac Surgery, volume 37, issue 11, pages 3838-3845 (2022). |
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification (journal article) Data Mining and Knowledge Discovery, volume 36, issue 5, pages 1623-1646 (2022). |
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans (journal article) IEEE Transactions on Software Engineering, volume 48, issue 8, pages 2814-2835 (2022). |