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Forecasting IT security vulnerabilities – An empirical analysis
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Forecasting IT security vulnerabilities – An empirical analysis (2019)Forecasting IT security vulnerabilities –…A new metric of absolute percentage error for intermittent demand forecasts (2016)A new metric of absolute perc…Intermittent demand forecasts with neural networks (2013)Intermittent demand forecasts…A combination of artificial neural network and random walk models for financial time series forecasting (2013)A combination of artificial n…Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series (2008)Rule induction for forecastin…Lumpy demand forecasting using neural networks (2007)Lumpy demand forecasting usin…Another look at measures of forecast accuracy (2006)Another look at measures of f…Another Look at Forecast Accuracy Metrics for Intermittent Demand (2006)Another Look at Forecast Accu…The accuracy of intermittent demand estimates (2004)The accuracy of intermittent …A new approach to forecasting intermittent demand for service parts inventories (2003)A new approach to forecasting…Time-Series Forecasting (2000)Time-Series ForecastingForecasting for Items with Intermittent Demand (1996)Forecasting for Items with In…Situational Crime Prevention (1995)Situational Crime PreventionForecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method (1994)Forecasting intermittent dema…Experience with Forecasting Univariate Time Series and the Combination of Forecasts (1974)Experience with Forecasting U…Forecasting and Stock Control for Intermittent Demands (1972)Forecasting and Stock Control…Forecasting principles and practiceForecasting principles and pr…Forecasting methods and applications (1993)The M3-Competition: results, conclusions and implications (2000)Forecasting monthly and quarterly time series using STL decomposition (2011)Demand forecasting in supply chain: The impact of demand volatility in the presence of promotion (2020)Designing Transparency for Effective Human-AI Collaboration (2022)Time Series Analysis: Forecasting and Control (1977)25 years of time series forecasting (2006)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Production and inventory management (1983)Inventory management and production planning and scheduling (1999)Forecasting and operational research: a review (2008)Intermittent demand: Linking forecasting to inventory obsolescence (2011)Retail forecasting: Research and practice (2019)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Supply chain forecasting: Theory, practice, their gap and the future (2015)Automatic Time Series Forecasting: The forecast Package for R (2008)The M4 Competition: 100,000 time series and 61 forecasting methods (2019)Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms (2021)Forecast evaluation for data scientists: common pitfalls and best practices (2022)Forecasting Sales by Exponentially Weighted Moving Averages (1960)The Combination of Forecasts (1969)Bayesian Forecasting (1976)Tests for Forecast Encompassing (1998)Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 (2016)Statistical and Machine Learning forecasting methods: Concerns and ways forward (2018)Recurrent Neural Networks for Time Series Forecasting: Current status and future directions (2020)Criminal Deterrence Research at the Outset of the Twenty-First Century (1998)Crime prevention through environmental design (CPTED): a review and modern bibliography (2005)THE LAW OF CRIME CONCENTRATION AND THE CRIMINOLOGY OF PLACE* (2015)Forecasting Daily Patient Volumes in the Emergency Department (2008)Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing (2011)A Survey of Forecast Error Measures (2013)A Comparison of ARIMA and LSTM in Forecasting Time Series (2018)The Performance of LSTM and BiLSTM in Forecasting Time Series (2019)
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References

  • 2006Another look at measures of forecast accuracy5,736 cited
  • n.d.Forecasting principles and practice4,364 cited
  • 1995Situational Crime Prevention1,214 cited
  • 2016A new metric of absolute percentage error for intermittent demand forecasts1,150 cited
  • 2000Time-Series Forecasting1,053 cited
  • 1974Experience with Forecasting Univariate Time Series and the Combination of Forecasts849 cited
  • 1972Forecasting and Stock Control for Intermittent Demands761 cited
  • 2004The accuracy of intermittent demand estimates498 cited
  • 2003A new approach to forecasting intermittent demand for service parts inventories395 cited
  • 2006Another Look at Forecast Accuracy Metrics for Intermittent Demand270 cited
  • 1994Forecasting intermittent demand in manufacturing: a comparative evaluation of Croston's method236 cited
  • 2013Intermittent demand forecasts with neural networks231 cited
  • 2007Lumpy demand forecasting using neural networks220 cited
  • 1996Forecasting for Items with Intermittent Demand199 cited
  • 2013A combination of artificial neural network and random walk models for financial time series forecasting194 cited

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  • 2008Rule induction for forecasting method selection: Meta-learning the characteristics of univariate time series176 cited
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