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2020 – today
- 2024
[j30]Md Mohaimenuzzaman
, Christoph Bergmeir, Bernd Meyer:
Deep Active Audio Feature Learning in Resource-Constrained Environments. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3224-3237 (2024)- [j29]Priscila Grecov, Ankitha Nandipura Prasanna, Klaus Ackermann, Sam Campbell, Deborah A. Scott, Dan I. Lubman, Christoph Bergmeir:
Probabilistic Causal Effect Estimation With Global Neural Network Forecasting Models. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4999-5013 (2024) - [c18]Xin Zhou, Weiqing Wang, Wray L. Buntine, Shilin Qu, Abishek Sriramulu, Weicong Tan, Christoph Bergmeir:
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting. CIKM 2024: 3515-3526 - [i46]Abishek Sriramulu, Christoph Bergmeir, Slawek Smyl:
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting. CoRR abs/2405.07117 (2024) - [i45]Abishek Sriramulu, Nicolas Fourrier, Christoph Bergmeir:
DeepHGNN: Study of Graph Neural Network based Forecasting Methods for Hierarchically Related Multivariate Time Series. CoRR abs/2405.18693 (2024) - [i44]Xueying Long, Daniel F. Schmidt, Christoph Bergmeir, Slawek Smyl:
Fast Gibbs sampling for the local and global trend Bayesian exponential smoothing model. CoRR abs/2407.00492 (2024) - [i43]Evgenii Genov, Julian Ruddick, Christoph Bergmeir, Majid Vafaeipour, Thierry Coosemans, Salvador Garcia, Maarten Messagie:
Predict. Optimize. Revise. On Forecast and Policy Stability in Energy Management Systems. CoRR abs/2407.03368 (2024) - [i42]Xin Zhou, Weiqing Wang, Wray L. Buntine, Shilin Qu, Abishek Sriramulu, Weicong Tan, Christoph Bergmeir:
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting. CoRR abs/2408.04245 (2024) - 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) - [d184]Christoph Bergmeir, Quang Bui, Frits de Nijs, Peter J. Stuckey:
Residential Power and Battery Data. Zenodo, 2023
- [i41]Ziyi Liu, Rakshitha Godahewa, Kasun Bandara, Christoph Bergmeir:
Handling Concept Drift in Global Time Series Forecasting. CoRR abs/2304.01512 (2023) - [i40]Md Mohaimenuzzaman, Christoph Bergmeir, Bernd Meyer:
Deep Active Audio Feature Learning in Resource-Constrained Environments. CoRR abs/2308.13201 (2023) - [i39]Slawek Smyl, Christoph Bergmeir, Alexander Dokumentov, Erwin Wibowo, Daniel F. Schmidt:
Local and Global Trend Bayesian Exponential Smoothing Models. CoRR abs/2309.13950 (2023) - [i38]Rakshitha Godahewa, Christoph Bergmeir, Zeynep Erkin Baz, Chengjun Zhu, Zhangdi Song, Salvador García, Dario Benavides:
On Forecast Stability. CoRR abs/2310.17332 (2023) - [i37]Xueying Long, Quang Bui, Grady Oktavian, Daniel F. Schmidt, Christoph Bergmeir, Rakshitha Godahewa, Seong Per Lee, Kaifeng Zhao, Paul Condylis:
Scalable Probabilistic Forecasting in Retail with Gradient Boosted Trees: A Practitioner's Approach. CoRR abs/2311.00993 (2023) - [i36]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:
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond. CoRR abs/2311.04007 (2023) - [i35]Aidan Quinn, Melanie Simmons, Benjamin Spivak, Christoph Bergmeir:
RNN-BOF: A Multivariate Global Recurrent Neural Network for Binary Outcome Forecasting of Inpatient Aggression. CoRR abs/2312.01029 (2023) - [i34]Abishek Sriramulu, Nicolas Fourrier, Christoph Bergmeir:
Adaptive Dependency Learning Graph Neural Networks. CoRR abs/2312.03903 (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 - [d183]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Extended Wikipedia Web Traffic Daily Dataset (with Missing Values). Zenodo, 2022 - [d182]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Extended Wikipedia Web Traffic Daily Dataset (without Missing Values). Zenodo, 2022 - [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 A. Scott, Dan I. Lubman:
Causal Inference Using Global Forecasting Models for Counterfactual Prediction. PAKDD (2) 2021: 282-294 - [d181]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Australian Electricity Demand Dataset. Zenodo, 2021 - [d180]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
COVID-19 Mobility Dataset (with Missing Values). Zenodo, 2021 - [d179]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
COVID-19 Mobility Dataset (without Missing Values). Zenodo, 2021 - [d178]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Bitcoin Dataset with Missing Values. Zenodo, 2021 - [d177]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Bitcoin Dataset without Missing Values. Zenodo, 2021 - [d176]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Rideshare Dataset with Missing Values. Zenodo, 2021 - [d175]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Rideshare Dataset without Missing Values. Zenodo, 2021 - [d174]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Vehicle Trips Dataset with Missing Values. Zenodo, 2021 - [d173]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Vehicle Trips Dataset without Missing Values. Zenodo, 2021 - [d172]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Temperature Rain Dataset with Missing Values. Zenodo, 2021 - [d171]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Temperature Rain Dataset without Missing Values. Zenodo, 2021 - [d170]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Oikolab Weather Dataset. Zenodo, 2021 - [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 A. 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 - [d169]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
CIF 2016 Dataset. Version 1. Zenodo, 2020 [all versions] - [d168]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Tourism Yearly Dataset. Version 1. Zenodo, 2020 [all versions] - [d167]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Monthly Dataset. Version 1. Zenodo, 2020 [all versions] - [d166]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d165]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Daily Dataset. Version 1. Zenodo, 2020 [all versions] - [d164]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Hourly Dataset. Version 1. Zenodo, 2020 [all versions] - [d163]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Melbourne Pedestrian Counts Dataset. Version 1. Zenodo, 2020 [all versions] - [d162]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Daily Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d161]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Daily Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d160]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d159]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
London Smart Meters Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d158]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
London Smart Meters Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d157]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d156]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d155]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d154]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d153]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions] - [d152]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
KDD Cup Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions] - [d151]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d150]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Melbourne Pedestrian Counts Dataset. Version 2. Zenodo, 2020 [all versions] - [d149]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Hourly Dataset. Version 2. Zenodo, 2020 [all versions] - [d148]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Daily Dataset. Version 2. Zenodo, 2020 [all versions] - [d147]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d146]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Monthly Dataset. Version 2. Zenodo, 2020 [all versions] - [d145]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Quarterly Dataset. Version 2. Zenodo, 2020 [all versions] - [d144]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Yearly Dataset. Version 3. Zenodo, 2020 [all versions] - [d143]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Other Dataset. Version 2. Zenodo, 2020 [all versions] - [d142]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Monthly Dataset. Version 2. Zenodo, 2020 [all versions] - [d141]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
CIF 2016 Dataset. Version 2. Zenodo, 2020 [all versions] - [d140]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Quarterly Dataset. Version 2. Zenodo, 2020 [all versions] - [d139]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Yearly Dataset. Version 2. Zenodo, 2020 [all versions] - [d138]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Yearly Dataset. Version 3. Zenodo, 2020 [all versions] - [d137]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Monthly Dataset. Version 2. Zenodo, 2020 [all versions] - [d136]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Quarterly Dataset. Version 2. Zenodo, 2020 [all versions] - [d135]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Sunspot Daily Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d134]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Sunspot Daily Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d133]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Solar Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d132]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Solar Dataset (10 Minutes Observations). Version 2. Zenodo, 2020 [all versions] - [d131]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Electricity Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d130]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Electricity Hourly Dataset. Version 2. Zenodo, 2020 [all versions] - [d129]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Traffic Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d128]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Traffic Hourly Dataset. Version 2. Zenodo, 2020 [all versions] - [d127]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
NN5 Weekly Dataset. Version 2. Zenodo, 2020 [all versions] - [d126]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
NN5 Daily Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d125]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
NN5 Daily Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d124]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Tourism Yearly Dataset. Version 2. Zenodo, 2020 [all versions] - [d123]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Tourism Monthly Dataset. Version 2. Zenodo, 2020 [all versions] - [d122]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Tourism Quarterly Dataset. Version 2. Zenodo, 2020 [all versions] - [d121]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
CIF 2016 Dataset. Version 3. Zenodo, 2020 [all versions] - [d120]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
London Smart Meters Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d119]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Daily Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d118]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Kaggle Wikipedia Web Traffic Daily Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d117]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
London Smart Meters Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d116]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Electricity Demand (Elecdemand) Dataset. Version 1. Zenodo, 2020 [all versions] - [d115]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Saugeen River Flow (SaugeenDay) Dataset. Version 1. Zenodo, 2020 [all versions] - [d114]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Tourism Quarterly Dataset. Version 1. Zenodo, 2020 [all versions] - [d113]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
US Births Dataset. Version 1. Zenodo, 2020 [all versions] - [d112]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
CIF 2016 Dataset. Version 4. Zenodo, 2020 [all versions] - [d111]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Car Parts Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d110]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Car Parts Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d109]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Hospital Dataset. Version 1. Zenodo, 2020 [all versions] - [d108]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
COVID-19 Deaths Dataset. Version 1. Zenodo, 2020 [all versions] - [d107]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Sunspot Daily Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions] - [d106]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
Sunspot Daily Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions] - [d105]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Tourism Monthly Dataset. Version 1. Zenodo, 2020 [all versions] - [d104]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
NN5 Daily Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d103]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
NN5 Daily Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d102]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
NN5 Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d101]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Traffic Hourly Dataset. Version 1. Zenodo, 2020 [all versions] - [d100]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Traffic Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d99]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Electricity Hourly Dataset. Version 1. Zenodo, 2020 [all versions] - [d98]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Electricity Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d97]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Solar Dataset (10 Minutes Observations). Version 1. Zenodo, 2020 [all versions] - [d96]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Solar Weekly Dataset. Version 1. Zenodo, 2020 [all versions] - [d95]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Sunspot Daily Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d94]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb:
Sunspot Daily Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d93]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Yearly Dataset. Version 1. Zenodo, 2020 [all versions] - [d92]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Quarterly Dataset. Version 1. Zenodo, 2020 [all versions] - [d91]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Monthly Dataset. Version 1. Zenodo, 2020 [all versions] - [d90]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M1 Yearly Dataset. Version 2. Zenodo, 2020 [all versions] - [d89]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Yearly Dataset. Version 1. Zenodo, 2020 [all versions] - [d88]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Quarterly Dataset. Version 1. Zenodo, 2020 [all versions] - [d87]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Monthly Dataset. Version 1. Zenodo, 2020 [all versions] - [d86]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M3 Other Dataset. Version 1. Zenodo, 2020 [all versions] - [d85]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Yearly Dataset. Version 1. Zenodo, 2020 [all versions] - [d84]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Yearly Dataset. Version 2. Zenodo, 2020 [all versions] - [d83]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb:
M4 Quarterly Dataset. Version 1. Zenodo, 2020 [all versions] - [d82]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Wind Power Dataset (4 Seconds Observations). Version 1. Zenodo, 2020 [all versions] - [d81]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Solar Power Dataset (4 Seconds Observations). Version 1. Zenodo, 2020 [all versions] - [d80]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Wind Farms Dataset (with Missing Values). Version 1. Zenodo, 2020 [all versions] - [d79]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi:
Wind Farms Dataset (without Missing Values). Version 1. Zenodo, 2020 [all versions] - [d78]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Farms Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d77]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Farms Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d76]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Solar Power Dataset (4 Seconds Observations). Version 2. Zenodo, 2020 [all versions] - [d75]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Mahdi Abolghasemi, Rob J. Hyndman, Pablo Montero-Manso:
Wind Power Dataset (4 Seconds Observations). Version 2. Zenodo, 2020 [all versions] - [d74]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Sunspot Daily Dataset (without Missing Values). Version 4. Zenodo, 2020 [all versions] - [d73]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Sunspot Daily Dataset (with Missing Values). Version 4. Zenodo, 2020 [all versions] - [d72]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M1 Yearly Dataset. Version 4. Zenodo, 2020 [all versions] - [d71]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Yearly Dataset. Version 3. Zenodo, 2020 [all versions] - [d70]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Quarterly Dataset. Version 3. Zenodo, 2020 [all versions] - [d69]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Monthly Dataset. Version 3. Zenodo, 2020 [all versions] - [d68]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M3 Other Dataset. Version 3. Zenodo, 2020 [all versions] - [d67]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Yearly Dataset. Version 4. Zenodo, 2020 [all versions] - [d66]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Quarterly Dataset. Version 3. Zenodo, 2020 [all versions] - [d65]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Monthly Dataset. Version 3. Zenodo, 2020 [all versions] - [d64]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d63]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Daily Dataset. Version 3. Zenodo, 2020 [all versions] - [d62]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
London Smart Meters Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions] - [d61]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M4 Hourly Dataset. Version 3. Zenodo, 2020 [all versions] - [d60]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Melbourne Pedestrian Counts Dataset. Version 3. Zenodo, 2020 [all versions] - [d59]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Kaggle Wikipedia Web Traffic Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d58]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
KDD Cup Dataset (with Missing Values). Version 4. Zenodo, 2020 [all versions] - [d57]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
KDD Cup Dataset (without Missing Values). Version 4. Zenodo, 2020 [all versions] - [d56]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
COVID-19 Deaths Dataset. Version 2. Zenodo, 2020 [all versions] - [d55]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Hospital Dataset. Version 2. Zenodo, 2020 [all versions] - [d54]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Car Parts Dataset (without Missing Values). Version 2. Zenodo, 2020 [all versions] - [d53]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Car Parts Dataset (with Missing Values). Version 2. Zenodo, 2020 [all versions] - [d52]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
CIF 2016 Dataset. Version 5. Zenodo, 2020 [all versions] - [d51]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
US Births Dataset. Version 2. Zenodo, 2020 [all versions] - [d50]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Saugeen River Flow (SaugeenDay) Dataset. Version 2. Zenodo, 2020 [all versions] - [d49]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Electricity Demand (Elecdemand) Dataset. Version 2. Zenodo, 2020 [all versions] - [d48]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
London Smart Meters Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions] - [d47]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Kaggle Wikipedia Web Traffic Daily Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions] - [d46]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Kaggle Wikipedia Web Traffic Daily Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions] - [d45]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Tourism Quarterly Dataset. Version 3. Zenodo, 2020 [all versions] - [d44]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Tourism Monthly Dataset. Version 3. Zenodo, 2020 [all versions] - [d43]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Tourism Yearly Dataset. Version 3. Zenodo, 2020 [all versions] - [d42]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
NN5 Daily Dataset (with Missing Values). Version 3. Zenodo, 2020 [all versions] - [d41]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
NN5 Daily Dataset (without Missing Values). Version 3. Zenodo, 2020 [all versions] - [d40]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
NN5 Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d39]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Traffic Hourly Dataset. Version 3. Zenodo, 2020 [all versions] - [d38]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Traffic Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d37]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Electricity Hourly Dataset. Version 3. Zenodo, 2020 [all versions] - [d36]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Electricity Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d35]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Solar Dataset (10 Minutes Observations). Version 3. Zenodo, 2020 [all versions] - [d34]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
Solar Weekly Dataset. Version 3. Zenodo, 2020 [all versions] - [d33]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M1 Quarterly Dataset. Version 3. Zenodo, 2020 [all versions] - [d32]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Rob J. Hyndman, Pablo Montero-Manso:
M1 Monthly Dataset. Version 3. Zenodo, 2020 [all versions] - [d31]Rakshitha Godahewa, Christoph Bergmeir, Geoffrey I. Webb, Pablo Montero-Manso:
FRED-MD Dataset. Version 1. Zenodo, 2020 [all versions] - [d30]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso:
Weather Dataset. Version 1. Zenodo, 2020 [all versions] - [d29]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso:
Dominick Dataset. Version 1. Zenodo, 2020 [all versions] - [d28]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso, Rob J. Hyndman:
Dominick Dataset. Version 2. Zenodo, 2020 [all versions] - [d27]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso, Rob J. Hyndman:
Weather Dataset. Version 2. Zenodo, 2020 [all versions] - [d26]Rakshitha Godahewa, Christoph Bergmeir, Geoff Webb, Pablo Montero-Manso, Rob J. Hyndman:
FRED-MD Dataset. Version 2. Zenodo, 2020 [all versions] - [d25]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Appliances Energy Dataset. Zenodo, 2020 - [d24]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Monash, UEA & UCR Time Series Regression Datasets. Version 1. Zenodo, 2020 [all versions] - [d23]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Australia Rainfall Dataset. Zenodo, 2020 - [d22]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Beijing PM10 Dataset. Zenodo, 2020 - [d21]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Beijing PM2.5 Dataset. Zenodo, 2020 - [d20]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Benzene Concentration Dataset. Zenodo, 2020 - [d19]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Heart Rate Dataset (32 seconds window). Version 1. Zenodo, 2020 [all versions] - [d18]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Respiratory Rate Dataset (32 seconds window). Version 1. Zenodo, 2020 [all versions] - [d17]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Blood Oxygen Saturation Dataset (32 seconds window). Version 1. Zenodo, 2020 [all versions] - [d16]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Covid-19 Death Rate Dataset. Zenodo, 2020 - [d15]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Flood Modeling Dataset 1. Zenodo, 2020 - [d14]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Flood Modeling Dataset 2. Zenodo, 2020 - [d13]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Flood Modeling Dataset 3. Zenodo, 2020 - [d12]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Household Active Power Consumption Dataset. Zenodo, 2020 - [d11]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Household Reactive Power Consumption Dataset. Zenodo, 2020 - [d10]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
IEEEPPG Dataset. Zenodo, 2020 - [d9]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Live Fuel Moisture Content Dataset. Version 1. Zenodo, 2020 [all versions] - [d8]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
News Headline Sentiment Dataset. Zenodo, 2020 - [d7]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
News Title Sentiment Dataset. Zenodo, 2020 - [d6]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
PPGDalia Dataset. Zenodo, 2020 - [d5]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Heart Rate Dataset (32 seconds window). Version 2. Zenodo, 2020 [all versions] - [d4]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Respiratory Rate Dataset (32 seconds window). Version 2. Zenodo, 2020 [all versions] - [d3]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
BIDMC Blood Oxygen Saturation Dataset (32 seconds window). Version 2. Zenodo, 2020 [all versions] - [d2]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Live Fuel Moisture Content Dataset. Version 2. Zenodo, 2020 [all versions] - [d1]Chang Wei Tan, Christoph Bergmeir, François Petitjean, Geoffrey I. Webb:
Monash, UEA & UCR Time Series Regression Datasets. Version 2. Zenodo, 2020 [all versions] - [i17]Kasun Bandara, Christoph Bergmeir, Sam Campbell, Deborah A. 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
[j26] [i41] [i38] [i37] [i36] [j23] [d183] [d182] [i28] [i27] [j17] [c13] [d181] [d180] [d179] [d178] [d177] [d176] [d175] [d174] [d173] [d172] [d171] [d170] [i22] [c9] [d169] [d168] [d167] [d166] [d165] [d164] [d163] [d162] [d161] [d160] [d159] [d158] [d157] [d156] [d155] [d154] [d153] [d152] [d151] [d150] [d149] [d148] [d147] [d146] [d145] [d144] [d143] [d142] [d141] [d140] [d139] [d138] [d137] [d136] [d135] [d134] [d133] [d132] [d131] [d130] [d129] [d128] [d127] [d126] [d125] [d124] [d123] [d122] [d121] [d120] [d119] [d118] [d117] [d116] [d115] [d114] [d113] [d112] [d111] [d110] [d109] [d108] [d107] [d106] [d105] [d104] [d103] [d102] [d101] [d100] [d99] [d98] [d97] [d96] [d95] [d94] [d93] [d92] [d91] [d90] [d89] [d88] [d87] [d86] [d85] [d84] [d83] [d82] [d81] [d80] [d79] [d78] [d77] [d76] [d75] [d74] [d73] [d72] [d71] [d70] [d69] [d68] [d67] [d66] [d65] [d64] [d63] [d62] [d61] [d60] [d59] [d58] [d57] [d56] [d55] [d54] [d53] [d52] [d51] [d50] [d49] [d48] [d47] [d46] [d45] [d44] [d43] [d42] [d41] [d40] [d39] [d38] [d37] [d36] [d35] [d34] [d33] [d32] [d31] [d30] [d29] [d28] [d27] [d26] [i14] [i13] [i11] [i7]
[j21] [d183] [d182] [c13] [d181] [d180] [d179] [d178] [d177] [d176] [d175] [d174] [d173] [d172] [d171] [d170] [i22] [i21] [i19] [d78] [d77] [d76] [d75] [d74] [d73] [d72] [d71] [d70] [d69] [d68] [d67] [d66] [d65] [d64] [d63] [d62] [d61] [d60] [d59] [d58] [d57] [d56] [d55] [d54] [d53] [d52] [d51] [d50] [d49] [d48] [d47] [d46] [d45] [d44] [d43] [d42] [d41] [d40] [d39] [d38] [d37] [d36] [d35] [d34] [d33] [d32] [d28] [d27] [d26] [i10] [i2] [j12] [j11]
[d183] [d182] [i31] [i27] [c13] [d181] [d180] [d179] [d178] [d177] [d176] [d175] [d174] [d173] [d172] [d171] [d170] [i22] [i21] [d78] [d77] [d76] [d75] [d74] [d73] [d72] [d71] [d70] [d69] [d68] [d67] [d66] [d65] [d64] [d63] [d62] [d61] [d60] [d59] [d58] [d57] [d56] [d55] [d54] [d53] [d52] [d51] [d50] [d49] [d48] [d47] [d46] [d45] [d44] [d43] [d42] [d41] [d40] [d39] [d38] [d37] [d36] [d35] [d34] [d33] [d32] [d31] [d30] [d29] [d28] [d27] [d26] [i11]
Geoffrey I. Webb
aka: Geoff Webb
aka: Geoff Webb
[j26] [j22] [c15] [d183] [d182] [i28] [j18] [j17] [c13] [d181] [d180] [d179] [d178] [d177] [d176] [d175] [d174] [d173] [d172] [d171] [d170] [i26] [i22] [d169] [d168] [d167] [d166] [d165] [d164] [d163] [d162] [d161] [d160] [d159] [d158] [d157] [d156] [d155] [d154] [d153] [d152] [d151] [d150] [d149] [d148] [d147] [d146] [d145] [d144] [d143] [d142] [d141] [d140] [d139] [d138] [d137] [d136] [d135] [d134] [d133] [d132] [d131] [d130] [d129] [d128] [d127] [d126] [d125] [d124] [d123] [d122] [d121] [d120] [d119] [d118] [d117] [d116] [d115] [d114] [d113] [d112] [d111] [d110] [d109] [d108] [d107] [d106] [d105] [d104] [d103] [d102] [d101] [d100] [d99] [d98] [d97] [d96] [d95] [d94] [d93] [d92] [d91] [d90] [d89] [d88] [d87] [d86] [d85] [d84] [d83] [d82] [d81] [d80] [d79] [d78] [d77] [d76] [d75] [d74] [d73] [d72] [d71] [d70] [d69] [d68] [d67] [d66] [d65] [d64] [d63] [d62] [d61] [d60] [d59] [d58] [d57] [d56] [d55] [d54] [d53] [d52] [d51] [d50] [d49] [d48] [d47] [d46] [d45] [d44] [d43] [d42] [d41] [d40] [d39] [d38] [d37] [d36] [d35] [d34] [d33] [d32] [d31] [d30] [d29] [d28] [d27] [d26] [d25] [d24] [d23] [d22] [d21] [d20] [d19] [d18] [d17] [d16] [d15] [d14] [d13] [d12] [d11] [d10] [d9] [d8] [d7] [d6] [d5] [d4] [d3] [d2] [d1] [i16] [i15] [i11] [i7]
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