Christoph Bergmeir

发表

Time series extrinsic regression

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2020, Data mining and knowledge discovery.

Monash University, UEA, UCR Time Series Extrinsic Regression Archive

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2020 .

Operator guidance in 2D echocardiography via 3D model to image registration

Navneeth Subramanian, Christoph Bergmeir, C. Bergmeir, 2009, Medical Imaging.

Monash University, UEA, UCR Time Series Regression Archive pdf

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2020, ArXiv.

Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation pdf

Yanfei Kang, Christoph Bergmeir, Hansika Hewamalage, 2020, Pattern Recognit..

Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution

José Manuel Benítez, Isaac Triguero, Christoph Bergmeir, 2012, HAIS.

A Forecasting Methodology for Workload Forecasting in Cloud Systems

Francisco Herrera, Sergio Ramírez-Gallego, Christoph Bergmeir, 2018, IEEE Transactions on Cloud Computing.

Exploring the sources of uncertainty: Why does bagging for time series forecasting work?

Fotios Petropoulos, Rob J. Hyndman, Rob J Hyndman, 2018, Eur. J. Oper. Res..

Time Series Regression pdf

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2020, ArXiv.

Learning from data using the R package "FRBS"

Francisco Herrera, Lala Septem Riza, José Manuel Benítez, 2014, 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS

José Manuel Benítez, Christoph Bergmeir, J. M. Benítez, 2012 .

Global Models for Time Series Forecasting: A Simulation Study pdf

Christoph Bergmeir, Hansika Hewamalage, Kasun Bandara, 2020, ArXiv.

forecast: Forecasting functions for time series and linear models

Fotios Petropoulos, George Athanasopoulos, Rob J. Hyndman, 2018 .

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions pdf

Christoph Bergmeir, Hansika Hewamalage, Kasun Bandara, 2019, ArXiv.

frbs: Fuzzy Rule-Based Systems for Classification and Regression in R

Lala Septem Riza, Francisco Herrera, José Manuel Benítez, 2015 .

A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks

José Manuel Benítez, Christoph Bergmeir, Gregorio Ismael Sainz Palmero, 2013, IEA/AIE.

Memetic Algorithms with Local Search Chains in R: The Rmalschains Package

Daniel Molina, José Manuel Benítez, Christoph Bergmeir, 2016 .

Segmentation of cervical cell images using mean-shift filtering and morphological operators

José Manuel Benítez, Miguel García-Silvente, Christoph Bergmeir, 2010, Medical Imaging.

Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series pdf

Christoph Bergmeir, Slawek Smyl, Kasun Bandara, 2017, ArXiv.

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

José Manuel Benítez, Isaac Triguero, Yanet Rodríguez, 2016, Inf. Sci..

Simulation and Optimisation of Air Conditioning Systems using Machine Learning pdf

Arnaud Prouzeau, Chang Deng, Christoph Bergmeir, 2020, ArXiv.

Self-labeling techniques for semi-supervised time series classification: an empirical study

José Manuel Benítez, Isaac Triguero, Yanet Rodríguez, 2018, Knowledge and Information Systems.

Comparing calibration approaches for 3D ultrasound probes

Hans-Peter Meinzer, Ivo Wolf, Raffaele De Simone, 2008, International Journal of Computer Assisted Radiology and Surgery.

On the usefulness of cross-validation for directional forecast evaluation

José Manuel Benítez, Christoph Bergmeir, Mauro Costantini, 2014, Comput. Stat. Data Anal..

Forecaster performance evaluation with cross-validation and variants

José Manuel Benítez, Christoph Bergmeir, J. M. Benítez, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Multiobjective optimization for railway maintenance plans

Frank Klawonn, Daniel Peralta, José Manuel Benítez, 2018 .

Towards Accurate Predictions and Causal ‘What-if’ Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand

Christoph Bergmeir, Sam Campbell, Kasun Bandara, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations

Wray L. Buntine, Wray Buntine, Christoph Bergmeir, 2019, Inf. Sci..

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

José Manuel Benítez, Miguel García-Silvente, Christoph Bergmeir, 2012, Comput. Methods Programs Biomed..

Ensembles of Localised Models for Time Series Forecasting pdf

Geoffrey I. Webb, Christoph Bergmeir, Slawek Smyl, 2020, ArXiv.

On the use of cross-validation for time series predictor evaluation

José Manuel Benítez, Christoph Bergmeir, J. M. Benítez, 2012, Inf. Sci..

Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets"

Francisco Herrera, Chris Cornelis, Dominik Slezak, 2014, Inf. Sci..

Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach

Christoph Bergmeir, Slawek Smyl, Kasun Bandara, 2017, Expert Syst. Appl..

Forecasting: theory and practice

Fotios Petropoulos, Nikolaos Kourentzes, Daniele Apiletti, 2020, International Journal of Forecasting.

Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology

Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, 2019, ICONIP.

Klassifikation von Standardebenen in der 2D-Echokardiographie mittels 2D-3D-Bildregistrierung

Navneeth Subramanian, Christoph Bergmeir, 2009, Bildverarbeitung für die Medizin.

Machine learning applications in time series hierarchical forecasting pdf

Rob J Hyndman, Christoph Bergmeir, Garth Tarr, 2019, ArXiv.

A Strong Baseline for Weekly Time Series Forecasting pdf

Geoffrey I. Webb, Pablo Montero-Manso, Christoph Bergmeir, 2020, ArXiv.

Continuous Optimization using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R [R package Rmalschains version 0.2-6]

Daniel Molina, Christoph Bergmeir, D. Molina, 2019 .

Entwicklung und Evaluation einer Kalibrierungsmethode für 3D-Ultraschall

Hans-Peter Meinzer, Ivo Wolf, Raffaele De Simone, 2008, Bildverarbeitung für die Medizin.

A note on the validity of cross-validation for evaluating autoregressive time series prediction

Rob J. Hyndman, Rob J Hyndman, Christoph Bergmeir, 2018, Comput. Stat. Data Anal..

Self-organising Neural Network Hierarchy

Gideon Kowadlo, Christoph Bergmeir, Levin Kuhlmann, 2020, Australasian Conference on Artificial Intelligence.

Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification

Christoph Bergmeir, Rakshitha Godahewa, Francois Petitjean, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A Note on the Validity of Cross-Validation for Evaluating Time Series Prediction

Rob J. Hyndman, Rob J Hyndman, Christoph Bergmeir, 2015 .

Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models

Daniel Molina, José Manuel Benítez, Isaac Triguero, 2012, IEEE Transactions on Neural Networks and Learning Systems.

Model selection in reconciling hierarchical time series pdf

Evangelos Spiliotis, Rob J Hyndman, Christoph Bergmeir, 2020, Machine Learning.

LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns

Christoph Bergmeir, Hansika Hewamalage, Kasun Bandara, 2020, IEEE transactions on neural networks and learning systems.

Versatile and Robust Transient Stability Assessment via Instance Transfer Learning pdf

Ariel Liebman, Christoph Bergmeir, Guido Tack, 2021, ArXiv.

Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devices

Christoph Bergmeir, Md Mohaimenuzzaman, Bernd Meyer, 2021, IEEE Access.

MSTL: A Seasonal-Trend Decomposition Algorithm for Time Series with Multiple Seasonal Patterns

Rob J Hyndman, Christoph Bergmeir, Kasun Bandara, 2021, International Journal of Operational Research.

MultiRocket: multiple pooling operators and transformations for fast and effective time series classification

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2021, Data mining and knowledge discovery.

A Look at the Evaluation Setup of the M5 Forecasting Competition pdf

Pablo Montero-Manso, Rob J Hyndman, Christoph Bergmeir, 2021, ArXiv.

MultiRocket: Effective summary statistics for convolutional outputs in time series classification pdf

Geoffrey I. Webb, Chang Wei Tan, Christoph Bergmeir, 2021, ArXiv.

Causal Inference Using Global Forecasting Models for Counterfactual Prediction

Christoph Bergmeir, Kasun Bandara, Dan I. Lubman, 2021, PAKDD.

Monash Time Series Forecasting Archive pdf

Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso, 2021, NeurIPS Datasets and Benchmarks.

SQAPlanner: Generating Data-Informed Software Quality Improvement Plans pdf

John Grundy, Christoph Bergmeir, Chakkrit Tantithamthavorn, 2021, IEEE Transactions on Software Engineering.

Environmental Sound Classification on the Edge: Deep Acoustic Networks for Extremely Resource-Constrained Devices pdf

Christoph Bergmeir, Md Mohaimenuzzaman, Bernd Meyer, 2021, ArXiv.

Global Models for Time Series Forecasting: A Simulation Study pdf

Christoph Bergmeir, Hansika Hewamalage, Kasun Bandara, 2020, Pattern Recognit..

Ensembles of Localised Models for Time Series Forecasting

Geoffrey I. Webb, Christoph Bergmeir, Slawek Smyl, 2020, Knowl. Based Syst..