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Christoph Bergmeir

Universidad de Granada

Publicaciones

Balancing forecast accuracy and switching costs in online optimization of energy management systems

Expert Systems with Applications

  • 2026
  • journal-article
DeepHGNN: Study of graph neural network based forecasting methods for hierarchically related multivariate time series

Expert Systems with Applications

  • 2025
  • journal-article
Local and global trend Bayesian exponential smoothing models

International Journal of Forecasting

  • 2025
  • journal-article
On forecast stability

International Journal of Forecasting

  • 2025
  • journal-article
Predict+Optimize Problem in Renewable Energy Scheduling

IEEE Access

  • 2025
  • journal-article
Causal Effect Estimation With Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand

IEEE Transactions on Power Systems

  • 2024
  • journal-article
Deep Active Audio Feature Learning in Resource-Constrained Environments

IEEE/ACM Transactions on Audio, Speech, and Language Processing

  • 2024
  • journal-article
Machine learning applications in hierarchical time series forecasting: Investigating the impact of promotions

International Journal of Forecasting

  • 2024
  • journal-article
Probabilistic Causal Effect Estimation With Global Neural Network Forecasting Models

IEEE Transactions on Neural Networks and Learning Systems

  • 2024
  • journal-article
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
  • 2024
  • conference-paper
An accurate and fully-automated ensemble model for weekly time series forecasting

International Journal of Forecasting

  • 2023
  • journal-article
An overview of clustering methods with guidelines for application in mental health research

Psychiatry Research

  • 2023
  • journal-article
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices

Pattern Recognition

  • 2023
  • journal-article
Forecast evaluation for data scientists: common pitfalls and best practices

Data Mining and Knowledge Discovery

  • 2023
  • journal-article
LoMEF: A framework to produce local explanations for global model time series forecasts

International Journal of Forecasting

  • 2023
  • journal-article
Forecasting: theory and practice

International Journal of Forecasting

  • 2022
  • journal-article
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans

IEEE Transactions on Software Engineering

  • 2022
  • journal-article
Causal Inference Using Global Forecasting Models for Counterfactual Prediction
  • 2021
  • book-chapter
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns

IEEE Transactions on Neural Networks and Learning Systems

  • 2021
  • journal-article
LoRMIkA: Local rule-based model interpretability with k-optimal associations

Information Sciences

  • 2020
  • journal-article
Self-organising Neural Network Hierarchy
  • 2020
  • book-chapter
Closing the Gap in Surveillance and Audit of Invasive Mold Diseases for Antifungal Stewardship Using Machine Learning

Journal of Clinical Medicine

  • 2019
  • journal-article
A note on the validity of cross-validation for evaluating autoregressive time series prediction

Computational Statistics & Data Analysis

  • 2018
  • journal-article
Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study

PLOS Medicine

  • 2018
  • journal-article
Self-labeling techniques for semi-supervised time series classification: an empirical study

Knowledge and Information Systems

  • 2018
  • journal-article
Designing a more efficient, effective and safe Medical Emergency Team (MET) service using data analysis

PLOS ONE

  • 2017
  • journal-article
On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems

Information Sciences

  • 2016
  • journal-article
frbs: Fuzzy rule-based systems for classication and regression in R

Journal of Statistical Software

  • 2015
  • journal-article
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package «roughSets»

Information Sciences

  • 2014
  • journal-article
Learning from data using the R package «fRBS»

IEEE International Conference on Fuzzy Systems

  • 2014
  • conference-paper
On the usefulness of cross-validation for directional forecast evaluation

Computational Statistics and Data Analysis

  • 2014
  • journal-article
Actigraph GT3X: Validation and determination of physical activity intensity cut points

International Journal of Sports Medicine

  • 2013
  • journal-article
Neural networks in R using the Stuttgart neural network simulator: RSNNS

Journal of Statistical Software

  • 2012
  • journal-article
On the use of cross-validation for time series predictor evaluation

Information Sciences

  • 2012
  • journal-article
Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework

Computer Methods and Programs in Biomedicine

  • 2012
  • journal-article
Time series modeling and forecasting using memetic algorithms for regime-switching models

IEEE Transactions on Neural Networks and Learning Systems

  • 2012
  • journal-article
Forecaster performance evaluation with cross-validation and variants

International Conference on Intelligent Systems Design and Applications, ISDA

  • 2011
  • conference-paper
Segmentation of cervical cell images using mean-shift filtering and morphological operators

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

  • 2010
  • conference-paper
Classification of standard levels in 2D echocardiography using 2D-3D image registration | Klassifikation von Standardebenen in der 2D-Echokardiographie mittels 2D-3D-Bildregistrierung

Informatik aktuell

  • 2009
  • conference-paper
Comparing calibration approaches for 3D ultrasound probes

International Journal of Computer Assisted Radiology and Surgery

  • 2009
  • journal-article
Development and evaluation of a calibration method for 3D ultrasound | Entwicklung und Evaluation einer Kalibrierungsmethode für 3D-Ultraschall

Informatik aktuell

  • 2008
  • conference-paper
Contacto
bergmeir@ugr.es
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