Name: ENBIS-23 Valencia Conference
Start: 2023-09-10T10:00:00+02:00
End: 2023-09-14T18:00:00+02:00
Location: No location set

ENBIS-23 Valencia Conference

from Sunday, 10 September 2023 (10:00) to Thursday, 14 September 2023 (18:00)

Monday, 4 September 2023
Tuesday, 5 September 2023
Wednesday, 6 September 2023
Thursday, 7 September 2023
Friday, 8 September 2023
Saturday, 9 September 2023
Sunday, 10 September 2023
14:00 ECAS-ENBIS Course: Conformal Prediction: How to Quantify Uncertainty of Machine Learning Models? - Margaux Zaffran (INRIA)
ECAS-ENBIS Course: Conformal Prediction: How to Quantify Uncertainty of Machine Learning Models?
- Margaux Zaffran (INRIA)
14:00 - 18:00
Room: 2.11 https://conferences.enbis.org/event/41/

Monday, 11 September 2023

08:00 Registration
Registration
08:00 - 19:00

09:00

09:00 - 09:30
Room: Auditorium
09:30
09:30 - 10:30
Room: Auditorium
Contributions

09:30 Towards Markets for Data and Analytics - Pierre Pinson (Imperial College London)
10:30 Coffee break
Coffee break
10:30 - 11:00
11:00
11:00 - 12:30
Room: 2.13
Contributions

11:00 Drivers of Sustainable Tourism in Europe: How to Design Efficient Business Strategies - Francesca Bassi (University of Padova)

11:30 Conformity Assessment of a Sample of Items - Francesca Pennecchi (Istituto Nazionale di Ricerca Metrologica - INRIM)

12:00 The Class of Multivariate Bernoulli Distributions with Given Identical Margins - Roberto Fontana
11:00 - 12:30
Room: 2.9/2.10
Contributions

11:00 Bayesian Spatial Modeling for Misaligned Data Fusion - Paula Moraga (King Abdullah University of Science and Technology (KAUST))

11:30 Design and Inference in a RCT when Treatment Observations Follow a Two-Component Mixture Model - Daniel Jeske (University of California, Riverside)

12:00 Accelerated Stability Study with SestakBerggren R Package: Impact of Statistics for Quicker Access to New Vaccines - Bernard Francq (GSK) Olivier Schmit (GSK)
11:00 - 12:30
Room: 2.7/2.8
Contributions

11:00 A Bayesian Approach to Network Classification - RAJARSHI GUHANIYOGI (TEXAS A & M UNIVERSITY)

11:30 Utilizing Individual Clear Effects for Intelligent Factor Allocations and Design Selections - William Li (Shanghai Advanced Institute of Finance)

12:00 The Case against Generally Weighted Moving Average (GWMA) Control Charts - Sven Knoth (Helmut Schmidt University Hamburg, Germany)
11:00 - 12:30
Room: Auditorium
Contributions

11:00 Building Blocks for a Data Driven Organization - María Cristina Fernández (Grupo Santander)

11:30 AI's Adventures in Batchland: A Case Study in Massive Batch Processing - Iñaki Ucar (Universidad Carlos III de Madrid)

12:00 A Feature Selection Method Based on Shapley Values Robust to Concept Shift in Regression - Carlos Sebastián Martínez-Cava (Fortia Energía - Universidad Politécnica de Madrid)
12:30 Lunch break
Lunch break
12:30 - 13:30
13:30
13:30 - 14:30
Room: 2.7/2.8
Contributions

13:30 Brownie Bee: An Appetizing Way to Implement Bayesian Optimization in Companies - Morten Bormann Nielsen (Danish Technological Institute)

13:50 A Model-Robust Subsampling Approach in Presence of Outliers - Laura Deldossi (Università Cattolica del Sacro Cuore)

14:10 Optimal Design for Model Autocompletion - Arno Strouwen
13:30 - 14:30
Room: Auditorium
Contributions

13:30 Data Science and Statistical Machine Learning in Industry 4.0: Personal Reflections - Alberto J. Ferrer-Riquelme (Universidad Politecnica de Valencia)

14:10 Large Batch Sampling for Boundary Estimation Using Active Learning: A Case Study from Additive Manufacturing - Stefania Cacace (Politecnico di Milano)
13:30 - 14:30
Room: 2.13
Contributions

13:50 Bayesian Estimation in Regression Models with Restricted Parameter Spaces - Hossein Bevrani (University of Tabriz)

14:10 Bayesian Calibration for the Quantification of Conditional Uncertainty of Input Parameters in Chained Numerical Models - Oumar BALDÉ (CEA)
13:30 - 14:30
Room: 2.12
Contributions

13:30 The Effects of Large Round-Off Errors on the Performance of Control Charts for the Mean - Diamanta Benson-Karhi (The Open University of Israel)

13:50 Spectral Methods for SPC of 3-D Geometrical Data - Enrique del Castillo (Penn State University)

14:10 Examining the impact of critical attributes on hard drive failure times: multi-state models for left-truncated and right-censored semi-competing risks data - Jordan Oakley (School of Mathematics, Statistics & Physics, Newcastle University, United Kingdom)
13:30 - 14:30
Room: 2.9/2.10
Contributions

13:30 Measurement Uncertainty: Introducing New Training Material and a European Teachers’ Community - Katy Klauenberg (Physikalisch-Technische Bundesanstalt (PTB))

13:50 Towards Traceable and Trustworthy Digital Twins for Quality Control - Giacomo Maculotti (Politecnico di Torino)

14:10 Measurement of Thermal Conductivity at a Nanoscale Using Bayesian Inversion - Séverine Demeyer (LNE)
14:40
14:40 - 16:10
Room: Auditorium
Contributions

14:40 A Monte Carlo EM for the Poisson Log-Normal Model - Julien STOEHR (Université Paris-Dauphine, PSL)

15:10 Computer Code Validation via Mixture Model Estimation - Kaniav Kamary (CentraleSupélec, université Paris-Saclay )

15:40 Electrical Load Curve Prediction for Non Residential Customers Using Bayesian Neural Networks - Anne Philippe (Nantes Université)
14:40 - 16:10
Room: 2.9/2.10
Contributions

14:40 Innovations in Modelling Spectral Data - Phil Kay (SAS) Christopher Gotwalt (JMP Statistical Discovery LLC)

15:10 Cloud-Powered Spatial Analytics: Leveraging Cloud Scalability for Advanced Data Insights - Miguel Alvarez Garcia (CARTO)

15:40 Practical Applications of Multivariate Analytics in the Process Industry - Bernt Hiddema (AspenTech)
14:40 - 16:10
Room: 2.7/2.8
Contributions

14:40 Case Studies of Statistical Process Control and Anomaly Detection - Javier Tarrío Saavedra (Universidade da Coruña)

15:10 From Dashboards to Data Science Reactive Web Apps: Journey and Success Stories for Evidence-Based Decision Making in Industry and Business - Emilio L. Cano (Rey Juan Carlos University)

15:40 Set Estimation for Dimensional Control in Shipbuilding - Salvador Naya (Universidade da Coruña)
14:40 - 16:10
Room: 2.13
Contributions

14:40 Data-Driven Escalator Health Analytics and Monitoring - Inez Zwetsloot (City University of Hong Kong)

15:10 SMB-PLS for Expanding Multivariate Raw Material Specifications in Industry 4.0 - Joan Borràs-Ferrís (Universitat Politècnica de València)

15:40 Predictive Models for the Family Life Cycle in the Banking Environment - Lidia López Fernández (ABANCA)
16:10 Coffee break
Coffee break
16:10 - 16:35
16:35
16:35 - 17:35
Room: Auditorium
Contributions

16:35 Unleashing the Potential of Data Modeling and Monitoring for a Sustainable and Digital Manufacturing Future: Challenges and Opportunities in the Era of Green Targets and Industry 4.0 - Bianca Maria Colosimo (Politecnico di Milano)
17:35
17:35 - 17:55
Room: Auditorium
Contributions

17:35 Statistics: Less Math and More Visual Thinking - Lourdes Pozueta (AVANCEX +I, S.L.)
18:00

18:00 - 19:00
Room: Auditorium
Tuesday, 12 September 2023

08:00 Registration
Registration
08:00 - 12:35
08:30
08:30 - 09:30
Room: 2.7/2.8
Contributions

08:30 D-Optimal Experiment Design for Nested Sensor Placement - David Sudell (Lancaster University)

08:50 Multi-Criteria Evaluation and Selection of Experimental Designs from a Catalog - Jose Nunez Ares (KU Leuven)

09:10 Some Notes on Determining the Minimal Sample Size in Balanced 3-way ANOVA Models where no Exact F-Test Exists - Bernhard Spangl (University of Natural Resources and Life Sciences, Vienna)
08:30 - 09:30
Room: 2.12
Contributions

08:30 Developing a Composite Index of Environmental Consciousness: Evidence from Survey and Google Trends Data - Ida D'Attoma (Department of Statistical Sciences, University of Bologna)

08:50 Wind Speed Analysis and Re-Simulation for Long-Term Wind Farm Production Forecast - Merlin Keller (EDF)

09:10 Forecasting Electric Vehicle Charging Stations' Occupation: Smarter Mobility Data Challenge - Yvenn Amara-Ouali (Université Paris Saclay)
08:30 - 09:30
Room: 2.9/2.10
Contributions

08:30 Practical Reinforcement Learning in Logistics - Jan-Willem Bikker (CQM)

08:50 Near Real-Time Prediction of Hospital Performance Metrics Using Scalable Random Forest Algorithm - Richard Wood (National Health Service)

09:10 Local Linear Forests as a Solution for Online Process Control - Lucile Terras (EMSE (Ecole des Mines de Saint-Etienne))
08:30 - 09:30
Room: 2.13
Contributions

08:30 Optimization of Imperfect Condition-Based Maintenance Based on Matrix Algebra - Bram de Jonge (University of Groningen)

08:50 Modelling and Forecasting Correlated Failure Counts - Antonio Pievatolo (CNR-IMATI)

09:10 Design Risk Analysis and Importance of Involving a Statistical Mind-Set - Sören Knuts (GKN Aerospace Sweden)
08:30 - 09:30
Room: Auditorium
Contributions

08:30 Multivariate Six Sigma: A Case Study in a Chemical Industry - Daniel Palací-López (IFF Benicarlo, Benicarlo, Spain)

08:50 Multivariate Six Sigma: A Case Study in the Automotive Sector - Lourdes Pozueta (AVANCEX +I, S.L.)

09:10 Degradation Process Monitoring in Agro-Food Industry Using Multivariate Image Analysis - José Manuel Prats-Montalbán (Universtitat Politècnica de València)
09:40
09:40 - 10:40
Room: 2.9/2.10
Contributions

09:40 ENBIS Live - Open Problem Session - Christian Ritter (Ritter and Danielson Consulting)
09:40 - 10:40
Room: Auditorium
Contributions

09:40 On the Opportunities and Limitations of Deep Artificial Intelligence Methods for Industrial Process Analytics - Marco P. Seabra dos Reis (Department of Chemical Engineering, University of Coimbra)

10:00 Data Science Driven Framework for Leak Detection in LNG Plants using Process Sensor Data - Resmi Suresh
09:40 - 10:40
Room: 2.13
Contributions

09:40 Statistical Diagnostics of Turboprop Engines Condition - Zuzana Hübnerová (Brno University of Technology)

10:20 A Predictive Maintenance Strategy Cost-Model - Florian Sobieczky (SCCH Software Competence Center Hagenberg)
09:40 - 10:40
Room: 2.12
Contributions

09:40 Interpretable Property Prediction on Full Scale Paperboard Machine - David Runosson (Linköping University)

10:00 Sensitivity Analysis in the Presence of Hierarchical Variables - Julien Pelamatti (EDF R&D)

10:20 Explainable AI Time Series Forecasting Using a Local Surrogate Model - ALFREDO LOPEZ (Software Competence Center Hagenberg SCCH)
09:40 - 10:40
Room: 2.7/2.8.
Contributions

09:40 Statistical Aspects of Kansei Engineering - Shirley Coleman (ISRU, Newcastle University) Simon Schütte (Linkoping University) Lluis Marco-Almagro ( Universitat Politècnica de Catalunya)
10:40 Coffee break
Coffee break
10:40 - 11:05
11:05
11:05 - 12:35
Room: Auditorium
Contributions

11:05 Distribution-Free Joint Monitoring of Location and Scale for Modern Univariate Processes - Marcus Perry (University of Alabama)

11:35 Using Lean Practices to Overcome Challenges with Improving Warehouse Operations - Jamison Kovach (University of Houston)

12:05 Can You Dig It? Using Machine Learning to Efficiently Audit Utility Locator Tickets Prior to Excavation to Protect Underground Utilities - Jennifer Van Mullekom (Virginia Polytechnic Institute & State University)
11:05 - 12:35
Room: 2.7/2.8
Contributions

11:05 A Novel Low-Dimensional Learning Approach for Automated Classification of 2-D Microstructure Data in Additive Manufacturing - Marco Grasso (Politecnico di Milano, Department of Mechanical Engineering)

11:35 Maximum Covariance Unfolding Regression: A Novel Covariate-Based Manifold Learning Approach for Point Cloud Data - Kamran Paynabar (School of Industrial and Systems Engineering)

12:05 Automated Registration of Polarized Light Microscopy Images Using Deep Learning Techniques - Nathan Gaw (Air Force Institute of Technology)
11:05 - 12:35
Room: 2.13
Contributions

11:05 A Non-Linear Mixed Model Approach for Detecting Outlying Profiles - Valeria Quevedo (Universidad de Piura)

11:35 Design of Experiments (DoE)-Based Approach to Better Capture Uncertainty in Future Climate Projections - Carla Vivacqua (Universidade Federal do Rio Grande do Norte)

12:05 Statistical Model for Wildfires and the Effect of the Climate Change - András Zempléni (Eötvös Loránd University, Budapest) Kristóf Halász (Eötvös Loránd University)
11:05 - 12:35
Room: 2.9/2.10
Contributions

11:05 Fair Solutions in Regression Models: A Bayesian Viewpoint - Pepa Ramirez Cobo (Universidad de Cádiz)

11:35 Complex Statistical Models for New Challenges in Life Insurance Industry - Maria Durban (Universidad Carlos III de Madrid)

12:05 Monitoring Frameworks for ML Models - Alvaro Mendez (IBiDat)
12:35 Lunch break
Lunch break
12:35 - 13:35
13:35
13:35 - 14:35
Room: Auditorium
Contributions

13:35 Applied Research as a Tool to Influence Policy - Daphna Aviram Nitzan (Israel Democracy Institute)

13:55 Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B Tests - Nathaniel Stevens (University of Waterloo)
14:45
14:45 - 16:15
Room: 2.9/2.10
Contributions

14:45 A Bayesian Multilevel Time-Varying Framework for Joint Modelling of Hospitalization and Survival in Patients on Dialysis - Esra Kurum (University of California, Riverside)

15:15 Joint Modelling of Longitudinal and Event-Time Data for the Analysis of Longitudinal Medical Studies - Ruwanthi Kolamunnage-Dona

15:45 Assessing Risk Indicators in Clinical Practice with Joint Models of Longitudinal and Time-to-Event Data - Eleni-Rosalina Andrinopoulou
14:45 - 16:15
Room: 2.7/2.8
Contributions

14:45 Analytical problem solving based on causal, correlational and deductive models - Jeroen de Mast (University of Waterloo + JADS)

15:15 Statistical Engineering: Strategy versus Tactics - Geoff Vining (Virginia Tech Statistics Department)

15:45 Statistical Engineering: An Experience from Brazil - Andressa Siroky (UFRN) Carla Vivacqua (Universidade Federal do Rio Grande do Norte)
14:45 - 16:15
Room: 2.13
Contributions

14:45 Interpreting Turbulent Flows through Statistical Learning Methods - Vanesa Guerrero (Universidad Carlos III de Madrid)

15:15 Functional Data Analysis in Reliability and Maintenance Engineering: An Application to Aircraft Engines - Cevahir YILDIRIM (UC3M)

15:45 A Variance-Based Importance Index for Systems with Dependent Components - Alfonso Suarez-Llorens (Universidad de Cádiz)
14:45 - 16:15
Room: Auditorium
Contributions

14:45 Blending Statistics with Artificial Intelligence - Bart De Ketelaere (Catholic University of Leuven)

15:15 Hybrid Modeling for Extrapolation and Transfer Learning in the Chemical Processing Industries - Ricardo Rendall (Dow)

15:45 Modeling in the Observable or Latent Space? A Comparison of Dynamic Latent Variable based Monitoring for Sensor Fault Detection - Tiago Rato (University of Coimbra)
16:15 Coffee break
Coffee break
16:15 - 16:40
16:40
16:40 - 17:40
Room: 2.7/2.8
Contributions

16:40 Is It a Bird? Is It a Plane? No, It's a Paper Helicopter! - Jonathan Smyth-Renshaw (Jonathan Smyth-Renshaw & Associates Ltd)
16:40 - 17:40
Room: Auditorium
Contributions

16:40 Where are the Limits of AI? And How Can You Overcome these Limits with Human Domain Knowledge? - Andrea Ahlemeyer-Stubbe (Ahlemeyer-Stubbe) Eva Scheideler (Technische Hochschule Ostwestfalen-Lippe)

17:00 Role of Data in Successful Transition into Bioprocess Industry 4.0 and Cognate Implications for Standardisation, Storage and Repurposing of Data - Duygu Dikicioglu (University College London)

17:20 The Challenges in Building Meaningful Models with Publicly Available Omics Data - Eva Price (University College London)
16:40 - 17:40
Room: 2.13
Contributions

16:40 Dynamic Bayesian Network-Based Run-to-Run Control Scheme for Optimal Quality Engineering in Semiconductor Manufacturing - Wei-Ting Yang (BI Norwegian Business School)

17:00 Multivariate Bayesian Mixed Model for Method Comparability - Olympia Tumolva (Janssen Pharmaceutica N.V., Janssen Pharmaceutical Companies of Johnson & Johnson, Belgium)

17:20 Process Optimization Using Bayesian Models for Bounded Data - Chellafe Ensoy-Musoro (Janssen Pharmaceutica)
16:40 - 17:40
Contributions

16:40 A Comprehensive Degradation Modelling: From Statistical to Artificial Intelligence Models - Hasan Misaii (Roberval (Mechanics Energy and Electricity), Centre Pierre Guillaumat, Université de Technologie de Compiègne, France) Amélie Ponchet Durupt (Roberval (Mechanics Energy and Electricity), Centre Pierre Guillaumat, Université de Technologie de Compiègne, France)

17:00 Modelling of Multilayer Delamination - Renato Podvratnik (Infineon)

17:20 Reliability Growth in the Context of Industry 4.0 - Nikolaus Haselgruber (CIS Consulting in Industrial Statistics GmbH)
16:40 - 17:40
Room: 2.9/2.10
Contributions

16:40 Broadening the Spectrum of OMARS Designs - Peter Goos (University of Leuven) José Núñez Ares (University of Leuven)

17:00 Self-Validated Ensemble Models (SVEM) – Machine Learning for Small Data Typical of Industrial Designed Experiments - Christopher Gotwalt (JMP Statistical Discovery LLC)

17:20 Multi-Objective Optimisation Under Uncertainty - Semochkina Dasha (Southampton Statistical Sciences Research Institute (S3RI))
17:50
17:50 - 18:50
Room: 2.13
Contributions

17:50 Deep Neural Network-Based Parameter Estimation of the Fractional Ornstein-Uhlenbeck Process - László Márkus (Dept. Probability Th. and Statistics, Eötvös Loránd University)

18:10 Cost-Sensitive Classifiers for Fraud Detection - Jorge C. Rella (Abanca Servicios Financieros and Universidade da Coruña)
17:50 - 18:50
Room: Auditorium
Contributions

17:50 Global Importance Measures for Machine Learning Model Interpretability, an Overview - Bertrand Iooss (EDF R&D)

18:10 How Fair is Machine Learning in Credit Scoring? - Golnoosh Babaei (University of Pavia)

18:30 Big Behavioral Data - How Machine Learning Made Students Learn More DOE - John Tyssedal (NTNU)
17:50 - 18:50
Room: 2.7/2.8
Contributions

17:50 Nonparametric Control Charts for Change-Points Detection: A Comparative Study - Michele Scagliarini (University of Bologna)

18:10 Air Quality Monitoring: Combining Different Types of Concentration Measures to Correct Physicochemical Model Outputs - Jean-Michel Poggi (University of Paris-Saclay)

18:30 Robust Multivariate Control Charts Based on Convex Hulls - Sotiris Bersimis (University of Piraeus, Greece)
17:50 - 18:50
Room: 2.9/2.10
Contributions

17:50 New CUSUM Charts, the GLR Procedure and the Parabolic Mask - Sven Knoth (Helmut Schmidt University Hamburg, Germany)

18:10 Challenges and Obstacles in Process Understanding and Monitoring with Process Analytical Technologies - Giulia Gorla (University of Insubria)

18:30 Unravelling Sources of Variation in Large-Scale Food Production with Power Spectral Density Analysis - Lars Erik Solberg (Nofima)
17:50 - 18:50
Room: 2.12
Contributions

17:50 Monitoring Resistance Spot Welding Profiles via Robust Control Charts - Antonio Lepore (Università degli Studi di Napoli Federico II - Dept. of Industrial Engineering)

18:10 Resistance Spot Welding Process Monitoring Through Mixture Function-On-Scalar Regression Analysis - Christian Capezza (Department of Industrial Engineering, University of Naples "Federico II")

18:30 Self-Starting Bayesian Hotelling $T^2$ for Online Multivariate Outlier Detection - Konstantinos Bourazas (University of Ioannina)
Wednesday, 13 September 2023
08:30
08:30 - 09:30
Room: 2.13
Contributions

08:30 Estimation of the Infection Rate of Epidemics in Multilayer Random Graphs: Comparing Classical Methods with XGBoost - Villő Csiszár (Loránd Eötvös University, Budapest)

08:50 Transfer Learning across Biopharma Molecules, Scales and Phases Based on Hybrid Semi-Parametric Modeling - Hugo Santos (DataHow)

09:10 New Estimation Algorithm for More Reliable Prediction in Gaussian Process Regression: Application to an Aquatic Ecosystem Model - Amandine MARREL (CEA)
08:30 - 09:30
Room: 2.7/2.8
Contributions

08:30 Assessing Conditional Independence in Directed Acyclic Graphs (DAGs) - Christian Holth Thorjussen (Nofima AS)

08:50 Partitioning Metric Space Data - Emil Bashkansky (Braude College of Engineering)

09:10 Pareto Solutions Resilience - Nuno Costa (ESTSetubal)
08:30 - 09:30
Room: 2.9/2.10
Contributions

08:50 A Decoupling Method for Analyzing Fold-Over Designs - Yngvild Hamre (NTNU)

09:10 Incremental Designs for Simultaneous Kriging Predictions Based on the Generalized Variance as Criterion - Helmut Waldl (Johannes Kepler University Linz)
08:30 - 09:30
Room: Auditorium
Contributions

08:30 Batch Manufacturing Datasets - Open Source Data for Academia and Industry - Daniel Palací-López (IFF Benicarló )

08:50 Fast and Furious: Some Anonymous Quotations from 43 Years Working as an Applied Statistician - Martin Gibson (AQUIST Consulting)
09:40
09:40 - 10:40
Room: 2.7/2.8
Contributions

09:40 Tricky Topics – a Focus on Niggling Challenges when Teaching - Jacqueline Asscher (Kinneret College) Shirley Coleman (ISRU, Newcastle University) Sonja Kuhnt (Dortmund University of Applied Sciences and Arts)
09:40 - 10:40
Room: 2.9/2.10
Contributions

09:40 Retrospective DoE Methodology for Guiding Process Optimization from Historical Data - Sergio García Carrión (Universitat Politècnica de València (UPV))

10:00 Optimal Experimental Designs for Testing of LED Lighting - Alessandro Di Bucchianico (Eindhoven University of Technology)

10:20 Tremendous Impact of the Very New and Promising OMARS DOE in Pharma Industry for Quicker Access to New Vaccines - Bernard Francq (GSK)
09:40 - 10:40
Room: Auditorium
Contributions

09:40 A Time Series Based Machine Learning Strategy for Wastewater-Based Forecasting and Nowcasting of COVID-19 Dynamics - Tim Robinson (University of Wyoming) Mallory Lai (University of Wyoming)

10:00 The Benefits of Classification: An Appointment Case Study - Yariv N. Marmor (BRAUDE - College of Engineering, Karmiel)

10:20 Changes and Trends in Mortalities in Relation to COVID-19 - Miklós Arató (Eötvös Loránd University)
09:40 - 10:40
Room: 2.13
Contributions

09:40 Learning User Preferences from Sensors on Wearable Devices - Simon Weinberger (EssilorLuxottica)

10:00 Statistical Learning in Reproducing Kernel Hilbert Spaces - Ambrus Tamás (ELTE)

10:20 A Hierarchical Statistical Model to Track the Performance of a Distributed Industrial Fleet - Ignasi Puig-de-Dou (Statistics and Operations Reseach Dpt. Escola Tècnica Superior d'Enginyeria Industrial de Barcelona. Universitat Politècnica de Catalunya)
09:40 - 10:40
Room: 2.12
Contributions

09:40 Robust Bayesian Reliability Demonstration Testing - Hugalf Bernburg (Physikalisch-Technische Bundesanstalt (PTB))

10:00 Compound Poisson Process for Modeling of Aggregated Failures - Marek Skarupski (Eindhoven University of Technology)

10:20 It’s About Time – the Impact of Time Delay and Time Dynamics on Soft Sensing in Industrial Data - Marco Cattaldo (Nofima)
10:40 Coffee break
Coffee break
10:40 - 11:05
11:05
11:05 - 12:05
Room: 2.9/2.10
Contributions

11:05 Software Tool Implementation of Standard Guidelines in Technical Documentation of In Vitro Diagnosis Medical Devices - Marina Vives-Mestres (Datancia)

11:25 Predicting Indocyanine Green Retention at 15 Minutes (ICG15) in Hepatocellular Carcinoma Patients Using Radiomics and Hematology - Pei-Chun (Zoey) Chao (Institute of Industrial Engineering, National Taiwan University)

11:45 Dimension Reduction Methods Based on FINE Algorithm for Clustering Patients from Flow Cytometry Data - Walid Laziri (INRIA)
11:05 - 12:05
Room: Auditorium
Contributions

11:05 Time-Frequency Domain Vibration Signal Analysis to Determine the Failure Severity Level in a Spur Gearbox - Antonio Pérez-Torres (Universidad Politécnica de Valencia)

11:45 dPCA: A Python Library for Dynamic Principal Component Analysis - Sebastian Topalian (Technical University of Denmark)
11:05 - 12:05
Room: 2.12
Contributions

11:05 Recent Developments on Distribution-Free Phase-I Monitoring - An Overview and Some New Results - Amitava Mukherjee (XLRI -Xavier School of Management)

11:25 bayespm: BAYESian Process Monitoring in R - Panagiotis Tsiamyrtzis (Dept. of Mechanical Engineering, Politecnico di Milano, Italy & Dept. of Statistics, Athens University of Economics and Business, Greece)

11:45 Scalar-On-Function Regression Control Chart Based on a Functional Neural Network - Gianluca Sposito (Department of Industrial Engineering, University of Naples Federico II, Naples, Italy)
11:05 - 12:05
Room: 2.7/2.8
Contributions

11:05 Tools Created with R and Python for Teaching Statistics in Blended Learning - Sonja Kuhnt (Dortmund University of Applied Sciences and Arts)

11:25 Sharing Ideas for Formulating Easy to Write Exam Questions with a Focus on Statistical Practice - Jacqueline Asscher (Kinneret College)

11:45 Practice Makes Perfect – Perfect Exercises for Perfect Practice… - Stefanie Feiler (FHNW School of Life Sciences)
12:15
12:15 - 13:15
Room: Auditorium
Contributions

12:15 The Seven Deadly Sins of Data Science - Richard De Veaux (Williams College)
13:15

13:15 - 13:45
Room: Auditorium

13:45 Coffee & Snacks
Coffee & Snacks
13:45 - 14:15
14:30 Modelling Curve Data: Functional Data Explorer Workshop - Phil Kay (SAS) Chris Gotwalt (JMP Division of SAS Institute)
Modelling Curve Data: Functional Data Explorer Workshop
- Phil Kay (SAS)
- Chris Gotwalt (JMP Division of SAS Institute)
14:30 - 18:30
Room: 2.13 https://conferences.enbis.org/event/42/
Thursday, 14 September 2023
09:00 Latent Variables Multivariate Statistical Methods for Data Analytics in Industry 4.0 - Alberto J. Ferrer-Riquelme (Universidad Politecnica de Valencia) Joan Borràs-Ferrís (Universitat Politècnica de València)
Latent Variables Multivariate Statistical Methods for Data Analytics in Industry 4.0
- Alberto J. Ferrer-Riquelme (Universidad Politecnica de Valencia)
- Joan Borràs-Ferrís (Universitat Politècnica de València)
09:00 - 13:00
Room: 2.4 https://conferences.enbis.org/event/43/

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