Christoph Bergmeir

105 papers A* 1A 1B 5C 2Journal 87Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Balancing forecast accuracy and switching costs in online optimization of energy management systems. Expert Syst. Appl. Evgenii Genov, Julian Ruddick, Christoph Bergmeir, Majid Vafaeipour, Thierry Coosemans, Salvador García, Maarten Messagie
2026	J	`jnl`	Seeking SOTA: Time-Series Forecasting Must Adopt Taxonomy-Specific Evaluation to Dispel Illusory Gains. CoRR Raeid Saqur, Christoph Bergmeir, Blanka Horvath, Daniel Schmidt, Frank Rudzicz, Terry Lyons
2025	J	`jnl`	Context-driven cold-start Web traffic forecasting. World Wide Web (WWW) Xin Zhou, Weiqing Wang, Wray L. Buntine, Christoph Bergmeir
2025	J	`jnl`	DeepHGNN: Study of graph neural network based forecasting methods for hierarchically related multivariate time series. Expert Syst. Appl. Abishek Sriramulu, Nicolas Fourrier, Christoph Bergmeir
2025	J	`jnl`	Extending Load Forecasting from Zonal Aggregates to Individual Nodes for Transmission System Operators. CoRR Oskar Triebe, Fletcher Passow, Simon Wittner, Leonie Wagner, Julio Arend, Tao Sun, Chad Zanocco, Marek Miltner, Arezou Ghesmati, Chen-Hao Tsai, Christoph Bergmeir, Ram Rajagopal
2025	J	`jnl`	Fast Gibbs sampling for the local-seasonal-global trend Bayesian exponential smoothing model. Stat. Comput. Xueying Long, Daniel F. Schmidt, Christoph Bergmeir, Slawek Smyl
2025	J	`jnl`	MoTime: A Dataset Suite for Multimodal Time Series Forecasting. CoRR Xin Zhou, Weiqing Wang, Francisco J. Baldán, Wray L. Buntine, Christoph Bergmeir
2025	J	`jnl`	Predict+Optimize Problem in Renewable Energy Scheduling. IEEE Access Christoph Bergmeir, Frits de Nijs, Evgenii Genov, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan
2025	J	`jnl`	Time series adversarial attacks: an investigation of smooth perturbations and defense approaches. Int. J. Data Sci. Anal. Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier
2025	J	`jnl`	Unveiling the Potential of Text in High-Dimensional Time Series Forecasting. CoRR Xin Zhou, Weiqing Wang, Shilin Qu, Zhiqiang Zhang, Christoph Bergmeir
2024	J	`jnl`	Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting. CoRR Abishek Sriramulu, Christoph Bergmeir, Slawek Smyl
2024	J	`jnl`	Creating a Cooperative AI Policymaking Platform through Open Source Collaboration. CoRR Aiden Lewington, Alekhya Vittalam, Anshumaan Singh, Anuja Uppuluri, Arjun Ashok, Ashrith Mandayam Athmaram, Austin Milt, Benjamin Smith, Charlie Weinberger, Chatanya Sarin, Christoph Bergmeir, Cliff Chang, Daivik Patel, Daniel Li, David Bell, Defu Cao, Donghwa Shin, Edward Kang, Edwin Zhang, Enhui Li, Felix Chen, Gabe Smithline, Haipeng Chen, Henry Gasztowtt, Hoon Shin, Jiayun Zhang, Joshua Gray, Khai Hern Low, Kishan Patel, Lauren Hannah Cooke, Marco Burstein, Maya Kalapatapu, Mitali Mittal, Raymond Chen, Rosie Zhao, Sameen Majid, Samya Potlapalli, Shang Wang, Shrenik Patel, Shuheng Li, Siva Komaragiri, Song Lu, Sorawit Siangjaeo, Sunghoo Jung, Tianyu Zhang, Valery Mao, Vikram Krishnakumar, Vincent Zhu, Wesley Kam, Xingzhe Li, Yumeng Liu
2024	J	`jnl`	Deep Active Audio Feature Learning in Resource-Constrained Environments. IEEE ACM Trans. Audio Speech Lang. Process. Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer
2024	J	`jnl`	DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series. CoRR Abishek Sriramulu, Nicolas Fourrier, Christoph Bergmeir
2024	J	`jnl`	Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model. CoRR Xueying Long, Daniel F. Schmidt, Christoph Bergmeir, Slawek Smyl
2024	J	`jnl`	Predict. Optimize. Revise. On Forecast and Policy Stability in Energy Management Systems. CoRR Evgenii Genov, Julian Ruddick, Christoph Bergmeir, Majid Vafaeipour, Thierry Coosemans, Salvador García, Maarten Messagie
2024	J	`jnl`	Probabilistic Causal Effect Estimation With Global Neural Network Forecasting Models. IEEE Trans. Neural Networks Learn. Syst. Priscila Grecov, Ankitha Nandipura Prasanna, Klaus Ackermann, Sam Campbell, Deborah A. Scott, Dan I. Lubman, Christoph Bergmeir
2024	A	`conf`	Scalable Transformer for High Dimensional Multivariate Time Series Forecasting. CIKM Xin Zhou, Weiqing Wang, Wray L. Buntine, Shilin Qu, Abishek Sriramulu, Weicong Tan, Christoph Bergmeir
2024	J	`jnl`	Scalable Transformer for High Dimensional Multivariate Time Series Forecasting. CoRR Xin Zhou, Weiqing Wang, Wray L. Buntine, Shilin Qu, Abishek Sriramulu, Weicong Tan, Christoph Bergmeir
2023	J	`jnl`	Adaptive Dependency Learning Graph Neural Networks. CoRR Abishek Sriramulu, Nicolas Fourrier, Christoph Bergmeir
2023	J	`jnl`	Adaptive dependency learning graph neural networks. Inf. Sci. Abishek Sriramulu, Nicolas Fourrier, Christoph Bergmeir
2023	J	`jnl`	Deep Active Audio Feature Learning in Resource-Constrained Environments. CoRR Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer
2023	J	`jnl`	Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices. Pattern Recognit. Md Mohaimenuzzaman, Christoph Bergmeir, Ian Thomas West, Bernd Meyer
2023	J	`jnl`	Forecast evaluation for data scientists: common pitfalls and best practices. Data Min. Knowl. Discov. Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
2023	J	`jnl`	Handling Concept Drift in Global Time Series Forecasting. CoRR Ziyi Liu, Rakshitha Godahewa, Kasun Bandara, Christoph Bergmeir
2023	J	`jnl`	Local and Global Trend Bayesian Exponential Smoothing Models. CoRR Slawek Smyl, Christoph Bergmeir, Alexander Dokumentov, Erwin Wibowo, Daniel F. Schmidt
2023	J	`jnl`	On Forecast Stability. CoRR Rakshitha Godahewa, Christoph Bergmeir, Zeynep Erkin Baz, Chengjun Zhu, Zhangdi Song, Salvador García, Dario Benavides
2023	J	`jnl`	RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression. CoRR Aidan Quinn, Melanie Simmons, Benjamin Spivak, Christoph Bergmeir
2023	J	`jnl`	SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting. Mach. Learn. Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir
2023	J	`jnl`	Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach. CoRR Xueying Long, Quang Bui, Grady Oktavian, Daniel F. Schmidt, Christoph Bergmeir, Rakshitha Godahewa, Seong Per Lee, Kaifeng Zhao, Paul Condylis
2023	J	`jnl`	The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR Direnc Pekaslan, Jose Maria Alonso-Moral, Kasun Bandara, Christoph Bergmeir, Juan Bernabé-Moreno, Robert Eigenmann, Nils Einecke, Selvi Ergen, Rakshitha Godahewa, Hansika Hewamalage, Jesus Lago, Steffen Limmer, Sven Rebhan, Boris Rabinovich, Dilini Rajapaksha, Heda Song, Christian Wagner, Wenlong Wu, Luis Magdalena, Isaac Triguero
2022	J	`jnl`	A Generative Deep Learning Framework Across Time Series to Optimize the Energy Consumption of Air Conditioning Systems. IEEE Access Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir
2022	J	`jnl`	Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand. CoRR Ankitha Nandipura Prasanna, Priscila Grecov, Angela Dieyu Weng, Christoph Bergmeir
2022	J	`jnl`	Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR Christoph Bergmeir, Frits de Nijs, Abishek Sriramulu, Mahdi Abolghasemi, Richard Bean, John M. Betts, Quang Bui, Nam Trong Dinh, Nils Einecke, Rasul Esmaeilbeigi, Scott Ferraro, Priya Galketiya, Evgenii Genov, Robert Glasgow, Rakshitha Godahewa, Yanfei Kang, Steffen Limmer, Luis Magdalena, Pablo Montero-Manso, Daniel Peralta, Yogesh Pipada Sunil Kumar, Alejandro Rosales-Pérez, Julian Ruddick, Akylas C. Stratigakos, Peter J. Stuckey, Guido Tack, Isaac Triguero, Rui Yuan
2022	J	`jnl`	Dealing with missing data using attention and latent space regularization. CoRR Jahan C. Penny-Dimri, Christoph Bergmeir, Julian Smith
2022	J	`jnl`	FRANS: Automatic Feature Extraction for Time Series Forecasting. CoRR Alexey Chernikov, Chang Wei Tan, Pablo Montero-Manso, Christoph Bergmeir
2022	J	`jnl`	Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices. CoRR Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
2022	J	`jnl`	Global models for time series forecasting: A Simulation study. Pattern Recognit. Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
2022	A*	`conf`	LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data. AAAI Dilini Rajapaksha, Christoph Bergmeir
2022	J	`jnl`	LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data. CoRR Dilini Rajapaksha, Christoph Bergmeir
2022	J	`jnl`	Model selection in reconciling hierarchical time series. Mach. Learn. Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir
2022	J	`jnl`	MultiRocket: multiple pooling operators and transformations for fast and effective time series classification. Data Min. Knowl. Discov. Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb
2022	J	`jnl`	Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-Devices. IEEE Access Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer
2022	B	`conf`	RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression. IJCNN Aidan Quinn, Melanie Simmons, Benjamin Spivak, Christoph Bergmeir
2022	J	`jnl`	SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting. CoRR Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir
2022	J	`jnl`	SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. IEEE Trans. Software Eng. Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John Grundy, Wray L. Buntine
2022	—	`conf`	Smooth Perturbations for Time Series Adversarial Attacks. PAKDD (1) Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier
2021	J	`jnl`	A Look at the Evaluation Setup of the M5 Forecasting Competition. CoRR Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J. Hyndman
2021	—	`conf`	Causal Inference Using Global Forecasting Models for Counterfactual Prediction. PAKDD (2) Priscila Grecov, Kasun Bandara, Christoph Bergmeir, Klaus Ackermann, Sam Campbell, Deborah A. Scott, Dan I. Lubman
2021	—	`conf`	Dependency Learning Graph Neural Network for Multivariate Forecasting. ICONIP (5) Arth Patel, Abishek Sriramulu, Christoph Bergmeir, Nicolas Fourrier
2021	J	`jnl`	Ensembles of localised models for time series forecasting. Knowl. Based Syst. Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
2021	J	`jnl`	Environmental Sound Classification on the Edge: Deep Acoustic Networks for Extremely Resource-Constrained Devices. CoRR Md Mohaimenuzzaman, Christoph Bergmeir, Ian Thomas West, Bernd Meyer
2021	J	`jnl`	Improving the accuracy of global forecasting models using time series data augmentation. Pattern Recognit. Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
2021	J	`jnl`	LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns. IEEE Trans. Neural Networks Learn. Syst. Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
2021	J	`jnl`	LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts. CoRR Dilini Rajapaksha, Christoph Bergmeir, Rob J. Hyndman
2021	—	`conf`	Monash Time Series Forecasting Archive. NeurIPS Datasets and Benchmarks Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso
2021	J	`jnl`	Monash Time Series Forecasting Archive. CoRR Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso
2021	J	`jnl`	MultiRocket: Effective summary statistics for convolutional outputs in time series classification. CoRR Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb
2021	J	`jnl`	NeuralProphet: Explainable Forecasting at Scale. CoRR Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal
2021	J	`jnl`	Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devices. CoRR Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer
2021	J	`jnl`	SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. CoRR Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John C. Grundy, Wray L. Buntine
2021	J	`jnl`	Time series extrinsic regression. Data Min. Knowl. Discov. Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2021	J	`jnl`	Versatile and Robust Transient Stability Assessment via Instance Transfer Learning. CoRR Seyedali Meghdadi, Guido Tack, Ariel Liebman, Nicolas Langrené, Christoph Bergmeir
2020	J	`jnl`	A Strong Baseline for Weekly Time Series Forecasting. CoRR Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso
2020	J	`jnl`	Ensembles of Localised Models for Time Series Forecasting. CoRR Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir
2020	J	`jnl`	Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach. Expert Syst. Appl. Kasun Bandara, Christoph Bergmeir, Slawek Smyl
2020	J	`jnl`	Forecasting: theory and practice. CoRR Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, Mohamed Zied Babai, Devon K. Barrow, Souhaib Ben Taieb, Christoph Bergmeir, Ricardo J. Bessa, Jakub Bijak, John E. Boylan, Jethro Browell, Claudio Carnevale, Jennifer L. Castle, Pasquale Cirillo, Michael P. Clements, Clara Cordeiro, Fernando Luiz Cyrino Oliveira, Shari De Baets, Alexander Dokumentov, Joanne Ellison, Piotr Fiszeder, Philip Hans Franses, David T. Frazier, Michael Gilliland, Mustafa Sinan Gönül, Paul Goodwin, Luigi Grossi, Yael Grushka-Cockayne, Mariangela Guidolin, Massimo Guidolin, Ulrich Gunter, Xiaojia Guo, Renato Guseo, Nigel Harvey, David F. Hendry, Ross Hollyman, Tim Januschowski, Jooyoung Jeon, Victor Richmond R. Jose, Yanfei Kang, Anne B. Koehler, Stephan Kolassa, Nikolaos Kourentzes, Sonia Leva, Feng Li
2020	J	`jnl`	Global Models for Time Series Forecasting: A Simulation Study. CoRR Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
2020	J	`jnl`	Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation. CoRR Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir
2020	J	`jnl`	LoRMIkA: Local rule-based model interpretability with k-optimal associations. Inf. Sci. Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine
2020	J	`jnl`	Model selection in reconciling hierarchical time series. CoRR Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir
2020	J	`jnl`	Monash University, UEA, UCR Time Series Regression Archive. CoRR Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2020	B	`conf`	Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification. IJCNN Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, François Petitjean
2020	J	`jnl`	Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification. CoRR Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, François Petitjean
2020	—	`conf`	Self-organising Neural Network Hierarchy. Australasian Conference on Artificial Intelligence Satya Borgohain, Gideon Kowadlo, David Rawlinson, Christoph Bergmeir, Kok Loo, Harivallabha Rangarajan, Levin Kuhlmann
2020	J	`jnl`	Simulation and Optimisation of Air Conditioning Systems using Machine Learning. CoRR Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir
2020	J	`jnl`	Time Series Regression. CoRR Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb
2020	B	`conf`	Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand. IJCNN Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah A. Scott, Dan I. Lubman
2020	J	`jnl`	Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand. CoRR Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah A. Scott, Dan I. Lubman
2019	J	`jnl`	LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns. CoRR Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage
2019	J	`jnl`	LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations. CoRR Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine
2019	J	`jnl`	Machine learning applications in time series hierarchical forecasting. CoRR Mahdi Abolghasemi, Rob J. Hyndman, Garth Tarr, Christoph Bergmeir
2019	J	`jnl`	Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions. CoRR Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara
2019	—	`conf`	Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology. ICONIP (3) Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman
2019	J	`jnl`	Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology. CoRR Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman
2018	J	`jnl`	A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Trans. Cloud Comput. Francisco J. Baldán, Sergio Ramírez-Gallego, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez
2018	J	`jnl`	A note on the validity of cross-validation for evaluating autoregressive time series prediction. Comput. Stat. Data Anal. Christoph Bergmeir, Rob J. Hyndman, Bonsoo Koo
2018	J	`jnl`	Exploring the sources of uncertainty: Why does bagging for time series forecasting work? Eur. J. Oper. Res. Fotios Petropoulos, Rob J. Hyndman, Christoph Bergmeir
2018	J	`jnl`	Multiobjective Optimization for Railway Maintenance Plans. J. Comput. Civ. Eng. Daniel Peralta, Christoph Bergmeir, Martin Krone, Marta Galende, Manuel Menéndez, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, Frank Klawonn, José Manuel Benítez
2018	J	`jnl`	Self-labeling techniques for semi-supervised time series classification: an empirical study. Knowl. Inf. Syst. Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez
2017	J	`jnl`	Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series. CoRR Kasun Bandara, Christoph Bergmeir, Slawek Smyl
2016	J	`jnl`	On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems. Inf. Sci. Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez
2014	J	`jnl`	Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Inf. Sci. Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez
2014	B	`conf`	Learning from data using the R package "FRBS". FUZZ-IEEE Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez
2014	J	`jnl`	On the usefulness of cross-validation for directional forecast evaluation. Comput. Stat. Data Anal. Christoph Bergmeir, Mauro Costantini, José Manuel Benítez
2013	C	`conf`	A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks. IEA/AIE Christoph Bergmeir, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, José Manuel Benítez
2012	J	`jnl`	On the use of cross-validation for time series predictor evaluation. Inf. Sci. Christoph Bergmeir, José Manuel Benítez
2012	—	`conf`	Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution. HAIS (1) Christoph Bergmeir, Isaac Triguero, Francisco Velasco, José Manuel Benítez
2012	J	`jnl`	Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework. Comput. Methods Programs Biomed. Christoph Bergmeir, Miguel García-Silvente, José Manuel Benítez
2012	J	`jnl`	Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models. IEEE Trans. Neural Networks Learn. Syst. Christoph Bergmeir, Isaac Triguero, Daniel Molina, José Luis Aznarte, José Manuel Benítez
2011	C	`conf`	Forecaster performance evaluation with cross-validation and variants. ISDA Christoph Bergmeir, José Manuel Benítez
2010	B	`conf`	Segmentation of cervical cell images using mean-shift filtering and morphological operators. Image Processing Christoph Bergmeir, Miguel García-Silvente, J. Esquivias López-Cuervo, José Manuel Benítez
2009	J	`jnl`	Comparing calibration approaches for 3D ultrasound probes. Int. J. Comput. Assist. Radiol. Surg. Christoph Bergmeir, Mathias Seitel, Christian Frank, Raffaele De Simone, Hans-Peter Meinzer, Ivo Wolf
2009	—	`conf`	Klassifikation von Standardebenen in der 2D-Echokardiographie mittels 2D-3D-Bildregistrierung. Bildverarbeitung für die Medizin Christoph Bergmeir, Navneeth Subramanian
2008	—	`conf`	Entwicklung und Evaluation einer Kalibrierungsmethode für 3D-Ultraschall. Bildverarbeitung für die Medizin Christoph Bergmeir, Mathias Seitel, Christian Frank, Raffaele De Simone, Hans-Peter Meinzer, Ivo Wolf