A blocked split-plot experiment to detect the influential steps in a cell-based bioassay (in session "CONTRIBUTED Design of Experiment 2")
A Comprehensive Review and Comparison of Control Charts for Ordinal Samples (in session "CONTRIBUTED Process 5 + Economics 2")
A Constrained Low-Rank Sparse Decomposition for Anomaly Detection in Photovoltaic Systems (in session "INVITED INFORMS/QSR")
A Control Chart for signal detection in the Covid-19 pandemic (in session "INVITED Scandinavian")
A first look at optimal maintenance plans via reinforcment learning (in session "CONTRIBUTED Reliability 1")
A hybrid approach to transfer learning for product quality prediction (in session "CONTRIBUTED Modelling 4")
A Mixed Integer Optimization Approach for Model Selection in Screening Experiments (in session "INVITED ASQ")
A novel multi-set data analysis approach for enhancing industrial process understanding and troubleshooting (in session "CONTRIBUTED Process 5 + Economics 2")
A Novel Semi-supervised Learning Model for Smartphone-based Health Telemonitoring (in session "INVITED INFORMS/QSR")
A p-Value for a True Change when a Cusum Stops (in session "CONTRIBUTED Process 4")
A proposal for multiresponse Kriging optimization (in session "CONTRIBUTED Design of Experiment 3")
A semi-supervised approach to stream-based active learning for industrial processes (in session "INVITED Young Statisticians inviting")
ACTIVE SESSION: HANDS-ON PROJECTS FOR TEACHING DoE (in session "ACTIVE Teaching DoE")
Adding Covariables and Learning Rules to GAN for Process Units' Suffix Predictions (in session "CONTRIBUTED Process 1")
Analysis of multi-group data in a three-way structure (in session "CONTRIBUTED Modelling 1")
Are covariances meaningless in criteria for optimal designs for prediction? (in session "CONTRIBUTED Design of Experiment 2")
Automated Process of Collecting Product Test Data and Creating Alarm Reports for Root Cause Analysis (in session "CONTRIBUTED Quality 1")
Bayesian sample size determination for Multisite Replication Studies (in session "CONTRIBUTED Design of Experiment 3")
Be prepared to challenge the System – do not accept the status quo! (in session "Award Session: Greenfield winner")
Big data mining, modeling and monitoring for Manufacturing 4.0: opportunities and challenges (in session "Opening Keynote")
Binary Classification of Gas-Chromatograms using Data-Driven Methods (in session "CONTRIBUTED Modelling 2")
Boosting culture advancement when reinforcing cornerstones of statistical thinking (in session "INVITED Digital Twins/Industry 4.0")
Case studies of Digital twins in Quality Engineering (in session "INVITED Digital Twins/Industry 4.0")
Challenges and obstacles in lifetime operational data modeling of czech military jet aircraft (in session "CONTRIBUTED Reliability 2")
Challenges and Opportunities in Industrial Statistics in Industry 4.0 (in session "INVITED Scandinavian")
Comparing Nonparametric Change-Point Control Charts for Detecting Radioxenon Anomalous Concentrations (in session "INVITED Italian SiS")
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics - a simulation study (in session "INVITED Data Science for logistics 2")
Comparing statistical and machine learning models for predictive maintenance in solar power plants (in session "CONTRIBUTED Reliability 3 + Mining")
Consideration of prior information generated by component tests in the reliability verification of a technical subsystem (in session "CONTRIBUTED Reliability 2")
Control Group versus Treatment Group Designs with Mixture Distributions (in session "CONTRIBUTED Six Sigma and Design of Experiment")
Copula Shrinkage and Portfolio Allocation in Ultra-High Dimensions (in session "CONTRIBUTED Finance, Business and Consulting")
Cost-optimal control charts for mixture shift-size distributions (in session "CONTRIBUTED Process 4")
Data Preparation and Model Evaluation: The Interface of Machine Learning and Statistics (in session "INVITED North American")
Data-driven modelling of a pelleting process and prediction of pellet physical properties (in session "CONTRIBUTED Modelling 3")
Dataset Creation and Transfer Learning for Human Activity Recognition in Logistics (in session "INVITED Data Science for logistics 1")
Defining a design space of climate conditions for engineering design (in session "CONTRIBUTED Modelling 4")
Detecting spatio-temporal anomalies in Italian mortality during the first year of the COVID-19 pandemic. (in session "CONTRIBUTED Clinical Statistics/Anomalies")
Distributed Statistical Process Monitoring based on Causal Network Decomposition (in session "CONTRIBUTED Process 1")
DOE in Stages: Designs to Exploit Interim Results (in session "CONTRIBUTED Design of Experiment 3")
ECAS-ENBIS Course: Text Mining: from basics to deep learning tools
Efficient parameter estimation for multiresponse models with different subject characteristics (in session "CONTRIBUTED Design of Experiment 1")
Enbis Live - Open Project Session (in session "ACTIVE ENBIS Live - Open Problem Session")
Entropy-based adaptive design for contour finding and estimating reliability (in session "INVITED North American")
Exploring connections between multivariate Bernoulli distributions and discrete copulas (in session "CONTRIBUTED Modelling 1")
Fault diagnosis in multiple stream processes using artificial neural networks, with an application to HVAC systems of modern passenger trains (in session "INVITED Young Statisticians inviting")
From cluster tool to processing cells KPI in semiconductor manufacturing: Data-driven findings and insights (in session "CONTRIBUTED Design of Experiment 1")
Functional analysis of variance in presence of outliers: the RoFANOVA approach (in session "CONTRIBUTED Modelling 2")
GENEOnet: a GENEO based approach to Pocket Detection. (in session "CONTRIBUTED Clinical Statistics/Anomalies")
Generative models and Bayesian inversion using Laplace approximation (in session "CONTRIBUTED Design of Experiment 4")
Geometric variation included in computer modelling and a Digital Twin as an opportunity to get adaptive manufacturing (in session "INVITED Digital Twins/Industry 4.0")
How should we teach (frequentist) statistics? Coverage and interval estimation (in session "CONTRIBUTED Education, thinking")
How the UK land contamination industry inadvertently became the first to move to a world beyond p<0.05 (in session "CONTRIBUTED Finance, Business and Consulting")
How to avoid overestimation of the real variation between objects measured on the ordinal scale (in session "CONTRIBUTED Metrology & Measurement")
Implementation of self-starting monitoring schemes based on online parameter learning (in session "INVITED Italian SiS")
Improving PLS with lasso shrinkage, using the dual-SPLS package (in session "INVITED Young Statisticians inviting")
Improving the teaching of basic statistical inference for social science students (in session "CONTRIBUTED Education, thinking")
IMR — old SPC/M working horse and some numerical treasures (in session "CONTRIBUTED Process 4")
In-Process Quality Improvement: Concepts, Methodologies, and Applications (in session "Award Session: George Box Award + Pandemic Box Award recipient ceremony")
Industrial batch process modeling strategies and inference (in session "INVITED Software")
Is the difference in means always a good measure for an effect? (in session "CONTRIBUTED Clinical Statistics/Anomalies")
JMP 17 New Features Coming in Autumn 2022 (in session "INVITED Software")
Lean Six Sigma in healthcare and the COVID-19 crisis (in session "CONTRIBUTED Six Sigma and Design of Experiment")
Lifetime Drift Model for Discrete Data for Semiconductor Devices (in session "CONTRIBUTED Reliability 3 + Mining")
Methods for variable time-delay estimation in industrial data (in session "CONTRIBUTED Process 2")
Minimal sample size in balanced ANOVA models and its calculation using the R package ``miniSize'' (in session "CONTRIBUTED Design of Experiment 4")
Model predictivity assessment: incremental test-set selection and accuracy evaluation (in session "INVITED SFdS")
Modeling of repairable systems using Poisson processes and their extensions. Application to reliability analysis of wind turbine data. (in session "CONTRIBUTED Reliability 1")
Modeling the patient mix for risk-adjusted CUSUM charts (in session "CONTRIBUTED Quality 1")
Modelling Electric Vehicle Load and Occupancy at Charging Points (in session "INVITED SFdS")
Modelling peak pain migraine-attack severity: sharing successes and flaws (in session "CONTRIBUTED Modelling 3")
Modern DOE: From Definitive Screening Designs Towards Definitive Response Surface Designs? (in session "Closing Keynote")
Monitoring proportions with two components of common cause variation (in session "CONTRIBUTED Modelling 3")
Monitoring time to event in registry data using CUSUMs based on excess risk models (in session "CONTRIBUTED Process 1")
Multiblock data fusion (in session "INVITED Scandinavian")
Multivariate data analysis for faster root cause identification in semiconductor industry (in session "CONTRIBUTED Process 2")
Multivariate Statistical Process Control for Real-time Monitoring on Count Data (in session "CONTRIBUTED Quality 3")
Non-parametric Data-based Maintenance Optimization Using Machine Learning Algorithms (in session "CONTRIBUTED Reliability 1")
On distribution distance in a transfer learning context for virtual metrology (in session "CONTRIBUTED Process 3 + Economics")
On Re-Identification of Warehousing Entities (in session "INVITED Data Science for logistics 1")
On-line change detection using incremental learning systems. (in session "INVITED ISBIS")
One D-optimal main effects design is not the other (in session "CONTRIBUTED Design of Experiment 2")
Optimal design to test for heteroschedasticity in a regression model (in session "CONTRIBUTED Design of Experiment 1")
Optimal subset selection without outliers (in session "INVITED Italian SiS")
Petroleum Exploration, Debt and Firm Financing: Evidence from Norway (in session "CONTRIBUTED Process 3 + Economics")
Predicting Pangolin Lineage Call Success with Coverage Rates of SARS-CoV-2 Genomic Samples (in session "INVITED North American")
Predictive monitoring using machine learning algorithms and a real-life example on schizophrenia (in session "CONTRIBUTED Modelling 6")
Predictive Ratio Cusum (PRC): A Bayesian Approach in Online Change Point Detection of Short Runs (in session "CONTRIBUTED Modelling 4")
Preprocessing and process mining for business-to-business sales forecasting (in session "CONTRIBUTED Reliability 3 + Mining")
Process diagnostics using multivariate process capability indices (in session "CONTRIBUTED Quality 3")
Process Optimization from Historical Data in Industry 4.0 (in session "CONTRIBUTED Six Sigma and Design of Experiment")
R2R Control of a Chemical-Mechanical-Polishing Process Based on Machine Learning Techniques (in session "CONTRIBUTED Process 2")
Robust Coupled Tensor Decomposition and Feature Extraction for Multimodal Medical Data (in session "INVITED INFORMS/QSR")
Robustness analysis in uncertainty quantification via perturbed law-based sensitivity indices (in session "CONTRIBUTED Design of Experiment 6")
Segmentation and clustering new types of data in metric space (in session "CONTRIBUTED Modelling 6")
Sequential Learning of Active Subspaces (in session "Award Session: Best Manager Award and Young Statistician Award, + Pandemic recipients of these categories")
Simulation-based virtual environments for practicing data-collection skills (in session "CONTRIBUTED Education, thinking")
SmartPad: a predictive wear model based on the thermal dynamics of brake pads (in session "CONTRIBUTED Modelling 6")
Some challenges in calculating process capability indices from automatic data (in session "INVITED ISBIS")
Some optimization-theoretic issues in analysis of interval-valued data (in session "INVITED ISBIS")
SPC in the 21st Century – Effective or “Passé”? (in session "CONTRIBUTED Modelling 2")
Statistical Influence (in session "Award Session: Best Manager Award and Young Statistician Award, + Pandemic recipients of these categories")
Statistical Machine Learning for defining the Design Space (in session "CONTRIBUTED Modelling 5 + Design of Experiment 5")
Statistical model for pavement rutting based on annual pavement surface measurements. (in session "INVITED Data Science for logistics 2")
Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing (in session "INVITED ASQ")
Statistical Monitoring for Failure Detection of Royal Netherlands Navy Vessels (in session "CONTRIBUTED Process 3 + Economics")
Statistical process control of multivariate functional data in R (in session "INVITED Software")
Synthetic Demand Generation in a Farming-for-Mining-Framework for Logistics Networks (in session "INVITED Data Science for logistics 2")
Tailoring DOE Constraints to the Problem (in session "CONTRIBUTED Design of Experiment 6")
Textual Data for Time Series Forecasting (in session "INVITED SFdS")
The effects of foreign ownership of business on Italian employment - A pre-crisis period analysis (in session "CONTRIBUTED Process 5 + Economics 2")
The GUM perspective on straight-line errors-in-variables regression (in session "CONTRIBUTED Metrology & Measurement")
Threshold tuning methods in predictive monitoring (in session "CONTRIBUTED Modelling 5 + Design of Experiment 5")
What makes a car detailing job great? – Adaptive Multi-Stage Customer DOE (in session "CONTRIBUTED Design of Experiment 4")
Include materials from selected contributions
