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Resilient Neural Forecasting Systems

https://doi.org/10.1145/3399579.3399869
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-21311-3_7openalex-snapshot
Retail Store Workforce Scheduling by Expected Operating Income Maximization
inferredcites →https://doi.org/10.1016/j.ijforecast.2018.06.001openalex-snapshot
The M4 Competition: Results, findings, conclusion and way forward
inferredcites →https://doi.org/10.1016/j.ijforecast.2019.03.017openalex-snapshot
A hybrid method of exponential smoothing and recurrent neural networks for time series forecasting
inferredcites →https://doi.org/10.1016/j.ijforecast.2019.07.001openalex-snapshot
DeepAR: Probabilistic forecasting with autoregressive recurrent networks
inferredcites →https://doi.org/10.1016/j.jbusres.2016.04.035openalex-snapshot
Forecasting incoming call volumes in call centers with recurrent Neural Networks
inferredcites →https://doi.org/10.1016/j.neucom.2017.04.070openalex-snapshot
Unsupervised real-time anomaly detection for streaming data
inferredcites →https://doi.org/10.1023/a:1018046501280openalex-snapshot
Learning in the Presence of Concept Drift and Hidden Contexts
inferredcites →https://doi.org/10.1023/b:anor.0000019087.46656.e2openalex-snapshot
An Annotated Bibliography of Personnel Scheduling and Rostering
inferredcites →https://doi.org/10.1080/713827181openalex-snapshot
An analysis of four missing data treatment methods for supervised learning
inferredcites →https://doi.org/10.1145/2523813openalex-snapshot
A survey on concept drift adaptation
inferredcites →https://doi.org/10.1145/2934664openalex-snapshot
Apache Spark
inferredcites →https://doi.org/10.1145/3035918.3054782openalex-snapshot
Data Management Challenges in Production Machine Learning
inferredcites →https://doi.org/10.1145/3299869.3314033openalex-snapshot
Classical and Contemporary Approaches to Big Time Series Forecasting
inferredcites →https://doi.org/10.1145/3318464.3386126openalex-snapshot
Elastic Machine Learning Algorithms in Amazon SageMaker
inferredcites →https://doi.org/10.1145/502512.502529openalex-snapshot
Mining time-changing data streams
inferredcites →https://doi.org/10.14778/3229863.3229878openalex-snapshot
Forecasting big time series
inferredcites →https://doi.org/10.2307/1269814openalex-snapshot
Statistical Analysis With Missing Data
inferredcites →https://doi.org/10.2307/2289883openalex-snapshot
Statistical Analysis With Missing Data
inferredcites →https://doi.org/10.2307/2985674openalex-snapshot
Some Recent Advances in Forecasting and Control
inferredcites →https://doi.org/10.48550/arxiv.1810.11953openalex-snapshot
Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4667787openalex-extracted
Probabilistic Wind Power Forecasting Resilient to Missing Values: An Adaptive Quantile Regression Approach
inferred← citeshttps://doi.org/10.1007/978-3-031-35879-1_11openalex-snapshot
Deep Learning Based Forecasting: A Case Study from the Online Fashion Industry
inferred← citeshttps://doi.org/10.1016/j.energy.2024.131544openalex-snapshot
Probabilistic wind power forecasting resilient to missing values: An adaptive quantile regression approach
inferred← citeshttps://doi.org/10.1109/ecti-con64996.2025.11101223openalex-snapshot
Predictive Analysis of Stock Prices Using ARIMA and Hybrid ARIMA-LSTM Models in the Indonesian Market
inferred← citeshttps://doi.org/10.1109/tsg.2023.3272379openalex-snapshot
Towards Resilient Energy Forecasting: A Robust Optimization Approach
inferred← citeshttps://doi.org/10.1145/3533382openalex-snapshot
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey
inferred← citeshttps://doi.org/10.11648/j.jhrm.20231104.14openalex-snapshot
The Future of Flexible Work Arrangements for Hourly Employees
inferred← citeshttps://doi.org/10.17586/2226-1494-2024-24-2-230-240openalex-snapshot
Guarantee structural anomaly detection in streaming data using the RRCF model: selection of detector parameters and its stabilization under additive noise conditions
inferred← citeshttps://doi.org/10.70675/85aeeaa0z4e90z4075z8ffbz017f0fd4eecbopenalex-snapshot
Towards the Prescriptive Analytics Paradigm for Energy Forecasting and Power System Optimization
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