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https://doi.org/10.2139/ssrn.4678075

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Nonparametric Estimation from Incomplete Observations
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The Cox Model
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A systematic review of Community Engagement (CE) in Disaster Early Warning Systems (EWSs)
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A hierarchical classification/regression algorithm for improving extreme wind speed events prediction
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Value-at-Risk forecasting: A hybrid ensemble learning GARCH-LSTM based approach
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A mixed-Weibull regression model for the analysis of automotive warranty data
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Hard drive failure prediction using Decision Trees
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A Graph-based Method for Vulnerability Analysis of Renewable Energy integrated Power Systems to Cascading Failures
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Attention-based deep survival model for time series data
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Reliability evaluation of a composite power system in the presence of renewable generations
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A method of online anomaly perception and failure prediction for high-speed automatic train protection system
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Chapter 41 Estimation of semiparametric models
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Forecasting and operational research: a review
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Improving Urban Water Security through Pipe-Break Prediction Models: Machine Learning or Survival Analysis
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Nonparametric Estimation from Incomplete Observations
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Intelligent Transportation System(ITS): Concept, Challenge and Opportunity
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Power Failure Prediction Method Based on Data Analysis
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Internet of Things for Smart Cities
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Short-Term Prediction of Passenger Demand in Multi-Zone Level: Temporal Convolutional Neural Network With Multi-Task Learning
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A Comprehensive Survey on Graph Anomaly Detection With Deep Learning
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Combining Modified Weibull Distribution Models for Power System Reliability Forecast
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Combining Unsupervised and Supervised Learning for Asset Class Failure Prediction in Power Systems
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Evaluating Feature Selection and Anomaly Detection Methods of Hard Drive Failure Prediction
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Survival Model Predictive Accuracy and ROC Curves
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Regression Models and Life-Tables
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ANALYSIS OF WARRANTY DATA WITH COVARIATES
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Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks
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Machine Learning for Survival Analysis
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Deep Learning for Anomaly Detection
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Long Short-Term Memory
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VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
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Statistical Downscaling of Extreme Precipitation Events Using Censored Quantile Regression
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Using regression models for prediction: shrinkage and regression to the mean
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Task space-based dynamic trajectory planning for digging process of a hydraulic excavator with the integration of soil–bucket interaction
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DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network
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High quantile regression for extreme events
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DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks
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Algorithm AS 136: A K-Means Clustering Algorithm
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A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development
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Quantile Regression
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Exploiting Generative AI to Scale up Intelligent Tutoring Systems
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Neural Machine Translation by Jointly Learning to Align and Translate
inferredcites →https://doi.org/10.48550/arxiv.1411.4038openalex-extracted
Fully Convolutional Networks for Semantic Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1602.07868openalex-extracted
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1801.05512openalex-extracted
Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework
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An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
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Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
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Time-to-Event Prediction with Neural Networks and Cox Regression
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Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
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The motion of trees in the wind - a collection of multiple data sets
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