Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions | Paper Citation Record

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

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This paper cites GluonTS: Probabilistic Time Series Models in Python.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions GluonTS: Probabilistic Time Series Models in Python

Reference 2

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions The tourism forecasting competition

Reference 4

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This paper cites J., Song, H., Wu, D., 2010.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions J., Song, H., Wu, D., 2010

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This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Neural Machine Translation by Jointly Learning to Align and Translate

Reference 6

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This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 7

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

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach

Reference 8

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This paper cites Sales demand forecast in e-commerce using a long short-term memory neural network methodology.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Sales demand forecast in e-commerce using a long short-term memory neural network methodology

Reference 9

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This paper cites Learning Stochastic Recurrent Networks.

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

Reference 10

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This paper cites A review and comparison of strategies for multi-step ahead time series forecasting based on the nn5 forecasting competition.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions A review and comparison of strategies for multi-step ahead time series forecasting based on the nn5 forecasting competition

Reference 11

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This paper cites J., Koo, B., 2018.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions J., Koo, B., 2018

Reference 12

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This paper cites Hyperopt: Distributed asynchronous hyper-parameter optimization.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Hyperopt: Distributed asynchronous hyper-parameter optimization

Reference 13

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Random search for Hyper-Parameter optimization

Reference 14

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This paper cites An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions An overview and comparative analysis of Recurrent Neural Networks for Short Term Load Forecasting

Reference 15

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This paper cites Conditional Time Series Forecasting with Convolutional Neural Networks.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Conditional Time Series Forecasting with Convolutional Neural Networks

Reference 16

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

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This paper cites Learning phrase representations using RNN Encoder--Decoder for statistical machine translation.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Learning phrase representations using RNN Encoder--Decoder for statistical machine translation

Reference 19

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This paper cites G., Mirisaee, H., Goswami, P., Gaussier, E., A \"i t-Bachir, A., Strijov, V., 2017.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions G., Mirisaee, H., Goswami, P., Gaussier, E., A \"i t-Bachir, A., Strijov, V., 2017

Reference 20

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions B., Cleveland, W

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This paper cites Capacity and trainability in recurrent neural networks.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Capacity and trainability in recurrent neural networks

Reference 24

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions F., 2008

Reference 25

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions F., Hibon, M., Nikolopoulos, K., Jul

Reference 26

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

Reference 27

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This paper cites Adaptive subgradient methods for online learning and stochastic optimization.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Adaptive subgradient methods for online learning and stochastic optimization

Reference 28

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions M3 user guide

Reference 30

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

Reference 31

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Regularization paths for generalized linear models via coordinate descent

Reference 32

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

Reference 33

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This paper cites S., Salinas, D., Flunkert, V., Januschowski, T., 16--18 Apr 2019.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions S., Salinas, D., Flunkert, V., Januschowski, T., 16--18 Apr 2019

Reference 34

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Web traffic time series forecasting

Reference 35

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Deep residual learning for image recognition

Reference 36

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

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This paper cites H., Leyton-Brown, K., 17--21 Jan 2011.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions H., Leyton-Brown, K., 17--21 Jan 2011

Reference 39

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions A brief history of time series forecasting competitions

Reference 40

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This paper cites tsfeatures: Time Series Feature Extraction.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions tsfeatures: Time Series Feature Extraction

Reference 41

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Automatic time series forecasting: The forecast package for R

Reference 42

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Forecasting with exponential smoothing

Reference 43

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions J., Koehler, A

Reference 44

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Batch normalization: Accelerating deep network training by reducing internal covariate shift

Reference 45

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions N., Yu, H., Jun

Reference 46

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Criteria for classifying forecasting methods

Reference 47

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

Reference 48

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions An empirical exploration of recurrent network architectures

Reference 49

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions P., Ba, J., 7--9 May 2015

Reference 50

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions A clockwork RNN

Reference 51

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Ensembles of recurrent neural networks for robust time series forecasting

Reference 52

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Modeling long- and Short-Term temporal patterns with deep neural networks

Reference 53

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This paper cites E., Smyl, S., 06--11 Aug 2017.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions E., Smyl, S., 06--11 Aug 2017

Reference 54

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This paper cites Geoman: Multi-level attention networks for geo-sensory time series prediction.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Geoman: Multi-level attention networks for geo-sensory time series prediction

Reference 55

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Smac v3: Algorithm configuration in python

Reference 56

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This paper cites D., Sep 19--21 2015.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions D., Sep 19--21 2015

Reference 57

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Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

Reference 58

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Observation d23de0b5-a910-40ba-bf04-c15038cdcca2 · outbound

This paper cites an unresolved cited work.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:52:13.528802Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e937f016-f240-466b-97e0-28165e85c249 · outbound

This paper cites Statistical and machine learning forecasting methods: Concerns and ways forward.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Statistical and machine learning forecasting methods: Concerns and ways forward

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.513776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e53b55f3-5e4a-4029-be0d-71d41d9db1af · outbound

This paper cites an unresolved cited work.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:52:13.498120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e515191c-cdfd-4bb7-9edb-22413f68719e · outbound

This paper cites J., Talagala, T.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions J., Talagala, T

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.483102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a021e68a-7db7-4f4b-87c2-0b35841b6c81 · outbound

This paper cites an unresolved cited work.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:52:13.468979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 69628f18-bf9a-4b08-84bc-ab5a8b8095bc · outbound

This paper cites an unresolved cited work.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:52:13.454472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f5d7b28a-1f0c-4907-90da-32392860f513 · outbound

This paper cites Training deep networks without learning rates through coin betting.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Training deep networks without learning rates through coin betting

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.440321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e0913e4-b500-4ac4-81db-f5c671fd02d4 · outbound

This paper cites N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-14T05:52:12.439084Z

Source-reported events for the cited work

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Observation 67e78f67-d386-4f23-8717-68bcf0f9eb52 · outbound

This paper cites Multi-step-ahead host load prediction with GRU based Encoder-Decoder in cloud computing.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Multi-step-ahead host load prediction with GRU based Encoder-Decoder in cloud computing

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.425721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e253a5df-6117-4204-b718-1868e8c12fc7 · outbound

This paper cites W., 2017.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions W., 2017

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.410765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7aad99c7-78b0-4ef3-94af-14996af3fbe1 · outbound

This paper cites R: A Language and Environment for Statistical Computing.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions R: A Language and Environment for Statistical Computing

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.394993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d32e4c8c-6bfa-4ac9-9eae-30b49bf58730 · outbound

This paper cites M., Islam, M.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions M., Islam, M

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.380628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f42fc2b-1c4b-4d91-8ef4-0074f17c02b0 · outbound

This paper cites S., Seeger, M., Gasthaus, J., Stella, L., Wang, Y., Januschowski, T., 2018.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions S., Seeger, M., Gasthaus, J., Stella, L., Wang, Y., Januschowski, T., 2018

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.365907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c2c60c24-5b01-4b33-a711-e341b4945c74 · outbound

This paper cites A., 2018.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions A., 2018

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.350460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e508ac18-26a4-4753-97dc-68db6752f17a · outbound

This paper cites Deepar: Probabilistic forecasting with autoregressive recurrent networks.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Deepar: Probabilistic forecasting with autoregressive recurrent networks

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.224069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 42e5095b-a395-4369-88f7-39bd9cae4895 · outbound

This paper cites M., Zimmermann, H.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions M., Zimmermann, H

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.209972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d75f3eeb-53f4-4d40-815e-407faa162c3d · outbound

This paper cites an unresolved cited work.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:52:13.195682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation dac15eb6-647d-422a-89b4-7922115c5e98 · outbound

This paper cites Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-14T05:52:12.483854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 806cec29-cda0-45a9-a0e2-d7a17a04d4d2 · outbound

This paper cites an unresolved cited work.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:52:13.180763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 50553b87-d2bb-4952-90a7-7f1a305c5591 · outbound

This paper cites Temporal pattern attention for multivariate time series forecasting.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Temporal pattern attention for multivariate time series forecasting

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.166864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9eccceba-9ce8-4b04-ae26-74eaffef566e · outbound

This paper cites Forecasting short time series with LSTM neural networks.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Forecasting short time series with LSTM neural networks

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.151170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bd4156c5-2913-474f-a30d-9dac2f5f1d45 · outbound

This paper cites Ensemble of specialized neural networks for time series forecasting.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Ensemble of specialized neural networks for time series forecasting

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.136379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 22652682-dbb5-4c9d-b71e-18b1d3004ee8 · outbound

This paper cites A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.120775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 97ceff26-389a-4b42-b95b-f959ffa893b4 · outbound

This paper cites Data preprocessing and augmentation for multiple short time series forecasting with recurrent neural networks.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Data preprocessing and augmentation for multiple short time series forecasting with recurrent neural networks

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.105816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b4916b3f-a58f-49fc-98ce-d08b12dbbdf5 · outbound

This paper cites Spearmint.

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

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.091512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e16acabb-d952-451b-b290-d32c945b6166 · outbound

This paper cites P., 03--08 Dec 2012.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions P., 03--08 Dec 2012

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.077149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7a486bee-4625-4fd6-9a8e-5b3700413d8c · outbound

This paper cites S., Gunasekar, S., Srebro, N., Jan.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions S., Gunasekar, S., Srebro, N., Jan

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.062565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a48d22c-e57a-48e0-865a-7f1c24f64148 · outbound

This paper cites On the results and observations of the time series forecasting competition cif 2016.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions On the results and observations of the time series forecasting competition cif 2016

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.048248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0051b8c8-fda7-47e8-87bf-12b2c2b385da · outbound

This paper cites kaggle-web-traffic.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions kaggle-web-traffic

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.032824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ac8c5667-69d8-4282-aa12-5f419daad2d9 · outbound

This paper cites V., 08--13 Dec 2014.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions V., 08--13 Dec 2014

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:13.017972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 96ed6f1a-2c4d-420e-9607-170c3d2a6513 · outbound

This paper cites an unresolved cited work.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:52:13.001383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bc4bd3df-b869-4eb1-b50b-5c42f045c6db · outbound

This paper cites R., Kourentzes, N., Fildes, R., Feb 2015.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions R., Kourentzes, N., Fildes, R., Feb 2015

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:12.986310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 18498fd4-a9a0-40c2-a5ba-e0c7c8944fc7 · outbound

This paper cites W., Kavukcuoglu, K., Sep 13-15 2016.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions W., Kavukcuoglu, K., Sep 13-15 2016

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:12.971292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a222bed-e953-4c7f-86a6-ef9ab173cbd5 · outbound

This paper cites Deep factors for forecasting.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Deep factors for forecasting

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:12.956245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 26bbe2c0-c727-45a1-8be5-f8f2f9ffbd77 · outbound

This paper cites A Multi-Horizon quantile recurrent forecaster.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions A Multi-Horizon quantile recurrent forecaster

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:12.941150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a0edd32d-2e6d-4ed7-93ce-3efdd973e7c0 · outbound

This paper cites an unresolved cited work.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

Reference 94

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:52:12.925811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d3a21aa5-91cc-4da9-9f37-257f775043a2 · outbound

This paper cites rBayesianOptimization: Bayesian Optimization of Hyperparameters.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions rBayesianOptimization: Bayesian Optimization of Hyperparameters

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:12.909690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation db84c9e7-a193-466b-b90e-e3d96db51c17 · outbound

This paper cites Depth-Gated LSTM.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Depth-Gated LSTM

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:12.893409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d5992a94-ce40-4e67-8cb5-50f91426f391 · outbound

This paper cites A., 2000.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions A., 2000

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:12.878171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7b0cdb15-5c85-475b-8ef2-6575a94a58cb · outbound

This paper cites Y., 1998.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Y., 1998

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:12.862160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 09cedcf3-6240-422a-9da2-d9ca4ead23ba · outbound

This paper cites an unresolved cited work.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions Unresolved cited work

Reference 99

Resolution: unresolved; raw_fallback, observed 2026-08-14T05:52:12.844703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7d51c2f3-02b0-4582-8a42-27f952fa7bb2 · outbound

This paper cites P., Berardi, V.

Recurrent Neural Networks for Time Series Forecasting: Current Status and Future Directions P., Berardi, V

Reference 100

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:12.828992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers