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2020 – today
- 2023
[j28]Hansika Hewamalage, Klaus Ackermann
, Christoph Bergmeir:
Forecast evaluation for data scientists: common pitfalls and best practices. Data Min. Knowl. Discov. 37(2): 788-832 (2023)- [j27]Abishek Sriramulu, Nicolas Fourrier, Christoph Bergmeir:
Adaptive dependency learning graph neural networks. Inf. Sci. 625: 700-714 (2023) - [j26]Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir:
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting. Mach. Learn. 112(7): 2555-2591 (2023) - [j25]Md Mohaimenuzzaman, Christoph Bergmeir, Ian Thomas West, Bernd Meyer:
Environmental Sound Classification on the Edge: A Pipeline for Deep Acoustic Networks on Extremely Resource-Constrained Devices. Pattern Recognit. 133: 109025 (2023) - [d1]Christoph Bergmeir, Quang Bui, Frits de Nijs, Peter J. Stuckey:
Residential Power and Battery Data. Zenodo, 2023
- [i35]Ziyi Liu, Rakshitha Godahewa, Kasun Bandara, Christoph Bergmeir:
Handling Concept Drift in Global Time Series Forecasting. CoRR abs/2304.01512 (2023) - [i34]Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer:
Deep Active Audio Feature Learning in Resource-Constrained Environments. CoRR abs/2308.13201 (2023) - 2022
- [j24]Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer:
Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-Devices. IEEE Access 10: 6696-6707 (2022) - [j23]Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir:
A Generative Deep Learning Framework Across Time Series to Optimize the Energy Consumption of Air Conditioning Systems. IEEE Access 10: 6842-6855 (2022) - [j22]Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb:
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification. Data Min. Knowl. Discov. 36(5): 1623-1646 (2022) - [j21]Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir:
Model selection in reconciling hierarchical time series. Mach. Learn. 111(2): 739-789 (2022) - [j20]Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara:
Global models for time series forecasting: A Simulation study. Pattern Recognit. 124: 108441 (2022) - [j19]Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John Grundy, Wray L. Buntine:
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. IEEE Trans. Software Eng. 48(8): 2814-2835 (2022) - [c17]Dilini Rajapaksha, Christoph Bergmeir:
LIMREF: Local Interpretable Model Agnostic Rule-Based Explanations for Forecasting, with an Application to Electricity Smart Meter Data. AAAI 2022: 12098-12107 - [c16]Aidan Quinn, Melanie Simmons, Benjamin Spivak, Christoph Bergmeir:
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression. IJCNN 2022: 1-8 - [c15]Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier:
Smooth Perturbations for Time Series Adversarial Attacks. PAKDD (1) 2022: 485-496 - [i33]Dilini Rajapaksha, Christoph Bergmeir:
LIMREF: Local Interpretable Model Agnostic Rule-based Explanations for Forecasting, with an Application to Electricity Smart Meter Data. CoRR abs/2202.07766 (2022) - [i32]Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir:
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices. CoRR abs/2203.10716 (2022) - [i31]Alexey Chernikov, Chang Wei Tan, Pablo Montero-Manso, Christoph Bergmeir:
FRANS: Automatic Feature Extraction for Time Series Forecasting. CoRR abs/2209.07018 (2022) - [i30]Ankitha Nandipura Prasanna, Priscila Grecov, Angela Dieyu Weng, Christoph Bergmeir:
Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand. CoRR abs/2209.08885 (2022) - [i29]Jahan C. Penny-Dimri, Christoph Bergmeir, Julian Smith:
Dealing with missing data using attention and latent space regularization. CoRR abs/2211.07059 (2022) - [i28]Rakshitha Godahewa, Geoffrey I. Webb, Daniel F. Schmidt, Christoph Bergmeir:
SETAR-Tree: A Novel and Accurate Tree Algorithm for Global Time Series Forecasting. CoRR abs/2211.08661 (2022) - [i27]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:
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy. CoRR abs/2212.10723 (2022) - 2021
- [j18]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Time series extrinsic regression. Data Min. Knowl. Discov. 35(3): 1032-1060 (2021) - [j17]Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir:
Ensembles of localised models for time series forecasting. Knowl. Based Syst. 233: 107518 (2021) - [j16]Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir:
Improving the accuracy of global forecasting models using time series data augmentation. Pattern Recognit. 120: 108148 (2021) - [j15]Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage:
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns. IEEE Trans. Neural Networks Learn. Syst. 32(4): 1586-1599 (2021) - [c14]Arth Patel, Abishek Sriramulu, Christoph Bergmeir, Nicolas Fourrier:
Dependency Learning Graph Neural Network for Multivariate Forecasting. ICONIP (5) 2021: 114-123 - [c13]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso:
Monash Time Series Forecasting Archive. NeurIPS Datasets and Benchmarks 2021 - [c12]Priscila Grecov, Kasun Bandara, Christoph Bergmeir, Klaus Ackermann, Sam Campbell, Deborah Scott, Dan I. Lubman:
Causal Inference Using Global Forecasting Models for Counterfactual Prediction. PAKDD (2) 2021: 282-294 - [i26]Chang Wei Tan, Angus Dempster, Christoph Bergmeir, Geoffrey I. Webb:
MultiRocket: Effective summary statistics for convolutional outputs in time series classification. CoRR abs/2102.00457 (2021) - [i25]Dilini Rajapaksha, Chakkrit Tantithamthavorn, Jirayus Jiarpakdee, Christoph Bergmeir, John C. Grundy, Wray L. Buntine:
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans. CoRR abs/2102.09687 (2021) - [i24]Seyedali Meghdadi, Guido Tack, Ariel Liebman, Nicolas Langrené, Christoph Bergmeir:
Versatile and Robust Transient Stability Assessment via Instance Transfer Learning. CoRR abs/2102.10296 (2021) - [i23]Md Mohaimenuzzaman, Christoph Bergmeir, Ian Thomas West, Bernd Meyer:
Environmental Sound Classification on the Edge: Deep Acoustic Networks for Extremely Resource-Constrained Devices. CoRR abs/2103.03483 (2021) - [i22]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Rob J. Hyndman, Pablo Montero-Manso:
Monash Time Series Forecasting Archive. CoRR abs/2105.06643 (2021) - [i21]Hansika Hewamalage, Pablo Montero-Manso, Christoph Bergmeir, Rob J. Hyndman:
A Look at the Evaluation Setup of the M5 Forecasting Competition. CoRR abs/2108.03588 (2021) - [i20]Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer:
Pruning vs XNOR-Net: A Comprehensive Study of Deep Learning for Audio Classification on Edge-devices. CoRR abs/2108.06128 (2021) - [i19]Dilini Rajapaksha, Christoph Bergmeir, Rob J. Hyndman:
LoMEF: A Framework to Produce Local Explanations for Global Model Time Series Forecasts. CoRR abs/2111.07001 (2021) - [i18]Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal:
NeuralProphet: Explainable Forecasting at Scale. CoRR abs/2111.15397 (2021) - 2020
- [j14]Kasun Bandara, Christoph Bergmeir, Slawek Smyl:
Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach. Expert Syst. Appl. 140 (2020) - [j13]Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine:
LoRMIkA: Local rule-based model interpretability with k-optimal associations. Inf. Sci. 540: 221-241 (2020) - [c11]Satya Borgohain, Gideon Kowadlo, David Rawlinson, Christoph Bergmeir, Kok Loo, Harivallabha Rangarajan, Levin Kuhlmann:
Self-organising Neural Network Hierarchy. Australasian Conference on Artificial Intelligence 2020: 359-370 - [c10]Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah Scott, Dan I. Lubman:
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand. IJCNN 2020: 1-10 - [c9]Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, François Petitjean:
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification. IJCNN 2020: 1-8 - [i17]Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah Scott, Dan I. Lubman:
Towards Accurate Predictions and Causal 'What-if' Analyses for Planning and Policy-making: A Case Study in Emergency Medical Services Demand. CoRR abs/2004.12092 (2020) - [i16]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Monash University, UEA, UCR Time Series Regression Archive. CoRR abs/2006.10996 (2020) - [i15]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Time Series Regression. CoRR abs/2006.12672 (2020) - [i14]Rakshitha Godahewa, Chang Deng, Arnaud Prouzeau, Christoph Bergmeir:
Simulation and Optimisation of Air Conditioning Systems using Machine Learning. CoRR abs/2006.15296 (2020) - [i13]Rakshitha Godahewa, Trevor Yann, Christoph Bergmeir, François Petitjean:
Seasonal Averaged One-Dependence Estimators: A Novel Algorithm to Address Seasonal Concept Drift in High-Dimensional Stream Classification. CoRR abs/2006.15311 (2020) - [i12]Kasun Bandara, Hansika Hewamalage, Yuan-Hao Liu, Yanfei Kang, Christoph Bergmeir:
Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation. CoRR abs/2008.02663 (2020) - [i11]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso:
A Strong Baseline for Weekly Time Series Forecasting. CoRR abs/2010.08158 (2020) - [i10]Mahdi Abolghasemi, Rob J. Hyndman, Evangelos Spiliotis, Christoph Bergmeir:
Model selection in reconciling hierarchical time series. CoRR abs/2010.10742 (2020) - [i9]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:
Forecasting: theory and practice. CoRR abs/2012.03854 (2020) - [i8]Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara:
Global Models for Time Series Forecasting: A Simulation Study. CoRR abs/2012.12485 (2020) - [i7]Rakshitha Godahewa, Kasun Bandara, Geoffrey I. Webb, Slawek Smyl, Christoph Bergmeir:
Ensembles of Localised Models for Time Series Forecasting. CoRR abs/2012.15059 (2020)
2010 – 2019
- 2019
- [c8]Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman:
Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology. ICONIP (3) 2019: 462-474 - [i6]Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman:
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology. CoRR abs/1901.04028 (2019) - [i5]Dilini Rajapaksha, Christoph Bergmeir, Wray L. Buntine:
LoRMIkA: Local Rule-based Model Interpretability with k-optimal Associations. CoRR abs/1908.03840 (2019) - [i4]Hansika Hewamalage, Christoph Bergmeir, Kasun Bandara:
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions. CoRR abs/1909.00590 (2019) - [i3]Kasun Bandara, Christoph Bergmeir, Hansika Hewamalage:
LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series with Multiple Seasonal Patterns. CoRR abs/1909.04293 (2019) - [i2]Mahdi Abolghasemi, Rob J. Hyndman, Garth Tarr, Christoph Bergmeir:
Machine learning applications in time series hierarchical forecasting. CoRR abs/1912.00370 (2019) - 2018
- [j12]Christoph Bergmeir, Rob J. Hyndman, Bonsoo Koo:
A note on the validity of cross-validation for evaluating autoregressive time series prediction. Comput. Stat. Data Anal. 120: 70-83 (2018) - [j11]Fotios Petropoulos, Rob J. Hyndman, Christoph Bergmeir:
Exploring the sources of uncertainty: Why does bagging for time series forecasting work? Eur. J. Oper. Res. 268(2): 545-554 (2018) - [j10]Daniel Peralta, Christoph Bergmeir, Martin Krone, Marta Galende, Manuel Menéndez, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, Frank Klawonn, José Manuel Benítez:
Multiobjective Optimization for Railway Maintenance Plans. J. Comput. Civ. Eng. 32(3) (2018) - [j9]Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez:
Self-labeling techniques for semi-supervised time series classification: an empirical study. Knowl. Inf. Syst. 55(2): 493-528 (2018) - [j8]Francisco Javier Baldan, Sergio Ramírez-Gallego, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez:
A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Trans. Cloud Comput. 6(4): 929-941 (2018) - 2017
- [i1]Kasun Bandara, Christoph Bergmeir, Slawek Smyl:
Forecasting Across Time Series Databases using Long Short-Term Memory Networks on Groups of Similar Series. CoRR abs/1710.03222 (2017) - 2016
- [j7]Mabel González Castellanos, Christoph Bergmeir, Isaac Triguero, Yanet Rodríguez, José Manuel Benítez:
On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems. Inf. Sci. 328: 42-59 (2016) - 2014
- [j6]Christoph Bergmeir, Mauro Costantini, José Manuel Benítez:
On the usefulness of cross-validation for directional forecast evaluation. Comput. Stat. Data Anal. 76: 132-143 (2014) - [j5]Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez:
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Inf. Sci. 287: 68-89 (2014) - [c7]Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez:
Learning from data using the R package "FRBS". FUZZ-IEEE 2014: 2149-2155 - 2013
- [c6]Christoph Bergmeir, Gregorio Ismael Sainz Palmero, Carlos Martínez Bertrand, José Manuel Benítez:
A Study on the Use of Machine Learning Methods for Incidence Prediction in High-Speed Train Tracks. IEA/AIE 2013: 674-683 - 2012
- [j4]Christoph Bergmeir, Miguel García-Silvente, José Manuel Benítez:
Segmentation of cervical cell nuclei in high-resolution microscopic images: A new algorithm and a web-based software framework. Comput. Methods Programs Biomed. 107(3): 497-512 (2012) - [j3]Christoph Bergmeir, José Manuel Benítez:
On the use of cross-validation for time series predictor evaluation. Inf. Sci. 191: 192-213 (2012) - [j2]Christoph Bergmeir, Isaac Triguero, Daniel Molina, José Luis Aznarte, José Manuel Benítez:
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models. IEEE Trans. Neural Networks Learn. Syst. 23(11): 1841-1847 (2012) - [c5]Christoph Bergmeir, Isaac Triguero, Francisco Velasco, José Manuel Benítez:
Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution. HAIS (1) 2012: 464-473 - 2011
- [c4]Christoph Bergmeir, José Manuel Benítez:
Forecaster performance evaluation with cross-validation and variants. ISDA 2011: 849-854 - 2010
- [c3]Christoph Bergmeir, Miguel García-Silvente, J. Esquivias López-Cuervo, José Manuel Benítez:
Segmentation of cervical cell images using mean-shift filtering and morphological operators. Medical Imaging: Image Processing 2010: 76234C
2000 – 2009
- 2009
- [j1]Christoph Bergmeir, Mathias Seitel, Christian Frank, Raffaele De Simone, Hans-Peter Meinzer, Ivo Wolf:
Comparing calibration approaches for 3D ultrasound probes. Int. J. Comput. Assist. Radiol. Surg. 4(2): 203-213 (2009) - [c2]Christoph Bergmeir, Navneeth Subramanian:
Klassifikation von Standardebenen in der 2D-Echokardiographie mittels 2D-3D-Bildregistrierung. Bildverarbeitung für die Medizin 2009: 222-226 - 2008
- [c1]Christoph Bergmeir, Mathias Seitel, Christian Frank, Raffaele De Simone, Hans-Peter Meinzer, Ivo Wolf:
Entwicklung und Evaluation einer Kalibrierungsmethode für 3D-Ultraschall. Bildverarbeitung für die Medizin 2008: 237-241
Coauthor Index
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last updated on 2023-09-21 22:57 CEST by the dblp team
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