Name: ENBIS-24 Conference
Start: 2024-09-15T09:00:00+02:00
End: 2024-09-19T22:00:00+02:00
Location: Leuven, Belgium

ENBIS-24 Conference

from Sunday, 15 September 2024 (09:00) to Thursday, 19 September 2024 (22:00)

Monday, 9 September 2024
Tuesday, 10 September 2024
Wednesday, 11 September 2024
Thursday, 12 September 2024
Friday, 13 September 2024
Saturday, 14 September 2024
Sunday, 15 September 2024

13:30

13:30 - 18:00
Room: Lobby
14:00 Screening and optimization with one single OMARS design: design, analysis, and optimization - Jose Nunez Ares (EFFEX)
Screening and optimization with one single OMARS design: design, analysis, and optimization
- Jose Nunez Ares (EFFEX)
14:00 - 18:00
Room: Conference room 3
16:00 Executive Committee + Office Meeting
Executive Committee + Office Meeting
16:00 - 17:00
Room: Conference room 2

17:00 Executive Committee + Council Meeting
Executive Committee + Council Meeting
17:00 - 18:30
Room: Conference room 2

Monday, 16 September 2024

08:00

08:00 - 18:15
Room: Lobby

09:00

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

09:30 Statistics in the Knowledge Economy - David Banks (Duke University)
10:30 Break
Break
10:30 - 11:00
Room: Foyer
11:00
11:00 - 12:30
Room: Conference room 2
Contributions

11:00 Federated generalized linear model for multimodal data analysis - Mostafa Reisi Gahrooei (University of Florida)

11:30 Optimizing Anomaly Detection in Printed Circuit Boards Using Machine Learning: The Critical Role of Data Volume for Enhanced Accuracy - Farnoosh Naderkhani (Concordia Univeristy)

12:00 Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data - Kamran Paynabar (Georgia Tech Atlanta)
11:00 - 12:30
Room: Conference room 3
Contributions

11:00 SVM Regression Oblique Trees: A Novel Approach to Regression Tasks - Andrea Carta (University of Cagliari)

11:30 Two-sample tests based on data depth - Yuejiao Cindy Fu (York University)

12:00 Improving the Usefulness of Statistical Classifiers - Daniel Jeske (University of California, Riverside)
11:00 - 12:30
Room: Auditorium
Contributions

11:00 Orthogonal Arrays for Practical Experimentation - Eric Schoen (KU Leuven, Belgium)

11:30 Constructing large OMARS designs by concatenating definitive screening designs - Alan Vazquez (Tecnologico de Monterrey)

12:00 Two-Level Designs within Three-Level Designs - Max Morris (Iowa State University)
11:00 - 12:30
Room: Conference room 1
Contributions

11:00 Accounting for misspecification in design based subsampling approaches: a comparative analysis - Laura Deldossi (Università Cattolica del Sacro Cuore)

11:30 Generation of all randomizations using circuits - Fabio Rapallo (University of Genova)

12:00 Subgroup Analyses: Exploring Stratification Strategies for Population- vs. Randomization-Based Inference - Marco Novelli (University of Bologna)
12:30 Lunch
Lunch
12:30 - 13:30
Room: Dining room
13:30
13:30 - 14:30
Room: Conference room 2
Contributions

13:30 Tool for One-way and Two-way CATANOVA and ORDANOVA for Analysis of Variation in a Cross-balanced Design and Power of a Test - Yariv N. Marmor (BRAUDE - College of Engineering, Karmiel)

13:50 Repeatability and Reproducibility of categorical measurements - Yariv N. Marmor (BRAUDE - College of Engineering, Karmiel)

14:10 A Unified Framework for Choice Experiments: Integrating Strict Preferences and Ties - Yuan Xi (KU Leuven)
13:30 - 14:30
Room: Auditorium
Contributions

13:30 Practical views on quantifying performance of prediction models - Jan-Willem Bikker (CQM)

13:50 Random forest and transfer learning based methods for causality. - Véronique Maume-Deschamps (Institut Camille Jordan, Université Claude Bernard Lyon 1)

14:10 Applications of machine learning methods for parameter estimation in spreading processes on hypergraphs - András Zempléni (Eötvös Loránd University, Budapest)
13:30 - 14:30
Room: Conference room 1
Contributions

13:30 Nonparametric Time Between Events and Amplitude Control Charts for Drought Understanding and Monitoring - Michele Scagliarini (University of Bologna)

13:50 Statistical and Machine Learning Methods in Monitoring: A Case Study on Student Performance - Paulina von Stackelberg (University of Amsterdam)
13:30 - 14:30
Room: Conference room 3
Contributions

13:30 Knowledge Transfer from Marketing to Healthcare - Using Customer Lifetime Value in Dental Practice - Andrea Ahlemeyer-Stubbe (Ahlemeyer-Stubbe)

13:50 Application of spatial point processes to the study of brain tumor localization - Sophie Mézières (INRIA BIGS - IECL)

14:10 Automated Paths Detection in Composite-Based Structural Equation Modeling - Laura Trinchera (NEOMA Business School)
14:30 Change
Change
14:30 - 14:35
14:35
14:35 - 15:35
Room: Conference room 3
Contributions

14:35 Assessing the Calibration and Performance of Attention-based Spatiotemporal Neural Networks for Lightning Prediction - Nathan Gaw (Air Force Institute of Technology)

14:55 Measuring the size distribution of ultrafine particles by means of diffusion selectors - Efoevi Angelo Koudou (Université de Lorraine, Institut Elie Cartan de Lorraine)

15:15 Foreign affiliates and productivity in EU countries - Abdoulaye Kané (Research engineer at CSTB; Researcher affiliated with the Paris Nanterre University, EconomiX) Antonio Frenda (Italian National Institute of Statistics)
14:35 - 15:35
Room: Conference room 1
Contributions

14:35 Optimal Experimental Designs for Process Robustness Studies - Ying Chen (KU Leuven)

14:55 A Class of Saturated Mixed Level Designs for Even Numbers of Runs - Bradley Jones (EFFEX)

15:15 The Connection between Mixed-Level OMARS Designs and Orthogonal Mixed-Level Designs - Peter Goos (KU Leuven)
14:35 - 15:35
Room: Conference room 2
Contributions

14:35 Pattern matching for multivariate time series forecasting - Noé Lebreton (Université Lyon 2)

14:55 Multivariate Singular Spectrum Analysis by Robust Diagonalwise Low-Rank Approximation - Fabio Centofanti (University of Naples Federico II)

15:15 Physical explanations of AI-time series forecasting using BAPC - ALFREDO LOPEZ (Software Competence Center Hagenberg SCCH)
14:35 - 15:35
Room: Auditorium
Contributions

14:35 Omnibus Control Charts for Poisson Counts - Christian Weiß (Helmut Schmidt University)

14:55 CUSUM Charts based on Individual Observations for Monitoring a Shifted Exponential Process - Athanasios Rakitzis (University of Piraeus, Department of Statistics and Insurance Science)

15:15 The EWMA Control Chart for Monitoring the Ratio of Variances - Su-Fen Yang (National Chengchi University)
15:35 Break
Break
15:35 - 16:00
Room: Foyer
16:00
16:00 - 17:10
Room: Auditorium
Contributions

16:00 Causal latent space-based models for scientific learning in Industry 4.0 - Joan Borràs-Ferrís (Kensight)

16:20 Bayesian Statistics in Pharmaceutical R & D & Manufacturing - Bruno Boulanger (PharmaLex)
17:10 Change
Change
17:10 - 17:15

17:15

17:15 - 18:15
Room: Auditorium

19:30

19:30 - 21:00
Tuesday, 17 September 2024

08:30

08:30 - 09:00
Room: Lobby
09:00
09:00 - 10:00
Room: Auditorium
Contributions

09:00 Simplifying experimental design generation for real-world challenges - Mathias Born (KU Leuven)

09:20 Optimal two-level designs under model uncertainty - Steven Gilmour (King's College London)

09:40 Optimal experimental design when not all tests are equally expensive - Mohammed Saif Ismail Hameed (KU Leuven)
09:00 - 10:00
Room: Conference room 3
Contributions

09:00 Fast Linear Model Trees by PILOT - Jakob Raymaekers (University of Antwerp)

09:20 A Bandit Approach With Evolutionary Operators for Model Selection: Application to Neural Architecture Optimization for Image Classification - Julie Keisler (EDF R&D)
09:00 - 10:00
Room: Conference room 1
Contributions

09:00 Mitigating raw material variation in manufacturing processes: A novel multivariate SPC scheme based on Sequential Multi-Block PLS - Alberto Ferrer (Universitat Politècnica de València, Department of Applied Statistics and Operational Research and Quality)

09:20 A Bayesian Self-starting Hotelling (BSSH) T2 for Online Multivariate Outlier Detection - Panagiotis Tsiamyrtzis (Politecnico di Milano)
09:00 - 10:00
Room: Conference room 2
Contributions

09:00 Multivariate statistics on hyperspectral images: challenges and importance of interpretability in textile sorting - Giulia Gorla (University of Basque Country)

09:20 Messy Energy Data: Sense-making via changepoint and anomaly detection - Paul Smith (Lancaster University)

09:40 From chemical fingerprints to environmental footprints: advancing feed production through near-infrared spectroscopy, Life Cycle Assessment and novel Artificial Intelligence - Jeroen Jansen (Radboud University)
10:00 Change
Change
10:00 - 10:05
10:05
10:05 - 11:05
Room: Auditorium
Contributions

10:05 Optimizing Industrial Systems with Hybrid Information Quality - Marco P. Seabra dos Reis (Department of Chemical Engineering, University of Coimbra)

10:25 Simplifying repetitive manual work: AI application to summarizing Technical Documentation of In Vitro Diagnosis Medical Devices in preparation for regulatory submission - Marina Vives-Mestres (Datancia)

10:45 Leveraging Transfer Learning for Efficient Bioprinting - Filippo Bracco (Politecnico di Milano)
10:05 - 11:05
Room: Conference room 2
Contributions

10:05 AdDownloader - Automating the retrieval of advertisements and their media content from the Meta Online Ad Library - Paula-Alexandra Gitu (Maastricht University)

10:25 Evaluating classifier performance in hard classification tasks - Amalia Vanacore (Department of Industrial Engineering University of Naples Federico II) Armando Ciardiello (Dept. of Industrial Engineering, University of Naples Federico II)
10:05 - 11:05
Room: Conference room 1
Contributions

10:05 Time-to-Failure Models for Health Monitoring of Railway Track Failures - Nikolaus Haselgruber (CIS Consulting in Industrial Statistics GmbH)

10:25 Network-Informed Bayesian Anomaly Detection by using Gaussian Processes - Konstantinos Bourazas (Athens University of Economics and Business)
10:05 - 11:05
Room: Conference room 3
Contributions

10:05 Which query strategy should one choose in active learning of real-valued functions when the model class is possibly misspecified? - Bernhard Spangl (University of Natural Resources and Life Sciences, Vienna)

10:25 Assessing general process stability with local regression - Karel Kupka (TriloByte Statistical Software)

10:45 On the equivalence between null space and orthogonal space in latent variable modeling - Sergio García Carrión (Universitat Politècnica de València (UPV))
11:05 Break
Break
11:05 - 11:30
Room: Foyer
11:30
11:30 - 13:00
Room: Conference room 2
Contributions

11:30 Post Mortem of a Failed Statistical Engineering Project - Geoff Vining (Virginia Tech Statistics Department)

12:00 Advances in Stress Rupture Modeling: A Case Study for Predicting COPV Reliability - Anne Driscoll (Virginia Tech)

12:30 Planning for Success: The Importance of Statistical Engineering - Jennifer Kensler (Shell)
11:30 - 13:00
Room: Conference room 3
Contributions

11:30 Bridge Monitoring with the Help of Local Distance Correlation - Carina Beering (Helmut Schmidt University)

12:00 Bayesian Nonparametric Clustering for Structural Health Monitoring - Tim Rogers (University of Sheffield)

12:30 Covariate-adjusted Sensor and System Outputs for Structural Health Monitoring: A Functional Data Approach - Philipp Wittenberg (Helmut Schmidt University)
11:30 - 13:00
Room: Auditorium
Contributions

11:30 Forecasting offshore wind energy: non-linearity, non-stationarity and varying bounds - Amandine PIERROT (University of Bath)

12:00 From Zero to Hero: Developing a Probabilistic Analyzer for Manufacturing Processes with Bayesian Networks - Valeria Fonseca Diaz (Software Competence Center Hagenberg)

12:30 Robust multiway PCA for casewise and cellwise outliers - Mehdi Hirari (KU Leuven)
11:30 - 13:00
Room: Conference room 1
Contributions

11:30 Optimising for average reward in a continuing environment: an application to industrial production planning - Paul Berhaut (Air Liquide)

12:00 AI Friendly Hacker : when an AI reveals more than it should... - Vincent Thouvenot (Thales SIX GTS France)

12:30 Deep learning applications in electricity markets - Yvenn Amara-Ouali (Université Paris Saclay)
13:00 Lunch
Lunch
13:00 - 14:00
Room: Dining room
14:00
14:00 - 15:00
Room: Auditorium
Contributions

14:00 Cellwise Outliers: Challenges and Solutions - Peter Rousseeuw (KU Leuven)
15:00 Change
Change
15:00 - 15:05
15:05
15:05 - 16:05
Room: Conference room 1
Contributions

15:05 Learning Ordinal Preferences on Wearable Devices through Reinforcement Learning using Time-Dependent States - Simon Weinberger (EssilorLuxottica & Université Lumière Lyon 2)

15:25 Optimizing Polymeric Fed-Batch Processes Using Reinforcement Learning - Omid Sobhani (University of Antwerp - imec)

15:45 Multimodal AI for Warehouses Monitoring - Emma van Doren
15:05 - 16:05
Room: Auditorium
Contributions

15:05 Generalizing the Generalized Variance Criterion for Simultaneous Prediction - Helmut Waldl (Johannes Kepler University Linz)

15:25 NeuroBayes Design Optimizer (NBDO) - Theodoros Ladas (King's College London)
15:05 - 16:05
Room: Conference room 2
Contributions

15:05 Development of a software tool with case studies for learning statistical data analyses - Sonja Kuhnt (Dortmund University of Applied Sciences and Arts)

15:25 Marble-ous DOE - A fun 3D-printed teaching tool for the classroom - Morten Bormann Nielsen (Danish Technological Institute)

15:45 Mini workshop: having fun with statistics - Stefanie Feiler (FHNW School of Life Sciences)
16:05 Break
Break
16:05 - 16:30
Room: Foyer

16:30

16:30 - 17:30
Room: Auditorium

19:00

19:00 - 23:00
Wednesday, 18 September 2024

08:30

08:30 - 09:00
Room: Lobby
09:00
09:00 - 10:00
Room: Conference room 3
Contributions

09:00 Combining profile likelihood with Bayesian estimation for the Crow-AMSAA process - Marek Skarupski (Eindhoven University of Technology)

09:20 A Bayesian risk-based approach to the design of single-sampling plans for attributes - Muhammad Ajmal (Ghent University)

09:40 Bayesian inference for measurements by counting - Francesca Pennecchi (Istituto Nazionale di Ricerca Metrologica - INRIM)
09:00 - 10:00
Room: Conference room 1
Contributions

09:00 Multispectral Imaging Flow for Industrial Applications - Lukas De Greve

09:20 Active learning for quality inspecting with synthetic hot-start approach - Aaron De Rybel (FlandersMake)

09:40 Exploiting prior knowledge for efficient Deep Learning: a case study about automated insect monitoring - Laura Carolina Martinez Esmeral (KU Leuven)
09:00 - 10:00
Room: Auditorium
Contributions

09:00 Multivariate vs. multi-stream EWMA control charts - Sven Knoth (Helmut Schmidt University Hamburg, Germany)

09:20 An Adaptive EWMA Monitoring Scheme for Multivariate Functional Data - Christian Capezza (Department of Industrial Engineering, University of Naples "Federico II")

09:40 Monitoring Multivariate Data Streams Using Convex Hull Based Control Charts - Sotiris Bersimis (University of Piraeus, Greece)
09:00 - 10:00
Room: Conference room 2
Contributions

09:00 Acceleration Invariance Principle for Hougaard Processes in Degradation Analysis - Chien-Yu Peng (Academia Sinica)

09:20 General Random-Effects Trend Renewal Processes with Applications - Tsai-Hung Fan (National Central University)

09:40 Design margins and handling of variations and uncertainty aiming for a Robust Design - Sören Knuts (GKN Aerospace Sweden)
10:00 Change
Change
10:00 - 10:05
10:05
10:05 - 11:05
Room: Conference room 1
Contributions

10:05 Estimating the heating duration of composite parts in the autoclave curing process using regression and artificial neural networks - Tuğçe Yücel (Hacettepe University)

10:25 Process Analytics Technology (PAT) modeling using linear and non-linear convolutional approaches - Tiago Rato (Department of Chemical Engineering, University of Coimbra)

10:45 Automatic Detection of Destruction and Freshness in Anchovy (Engraulis ringens) Using Informal Photos - Miguel Angel Rodriguez Anticona (TASA)
10:05 - 11:05
Room: Auditorium
Contributions

10:05 Online Multi-factor Screening Experiments with Bandit Allocation - David Steinberg (Tel Aviv University)

10:25 Optimal designs for mixture choice experiments by Simulated Annealing - Yicheng Mao (Maastricht University)

10:45 Testing Statistical Software as a Designed Experiment - Ryan Lekivetz (JMP)
10:05 - 11:05
Room: Conference room 3
Contributions

10:05 How the Sausage is Made? Tips & Tricks for Communicating Results and a case study - Froydis Bjerke (Animalia Meat and Poultry Research Centre) Jennifer Van Mullekom (Virginia Polytechnic Institute & State University)

10:35 Turning a real story with data into an active learning class exercise in statistical practice with a focus on communication - Jacqueline Asscher (Kinneret College, Technion)

10:50 Questions, discussions, and exchange of experience with the audience - Froydis Bjerke (Animalia Meat and Poultry Research Centre)
10:05 - 11:05
Room: Conference room 2
Contributions

10:05 A Comparative Analysis of Bayesian Sampling Methodologies for Design Space Identification in Quality by Design (QbD) Approach - Deniz Akinc Abdulhayoglu (Cencora Pharmalex)

10:25 A Bayesian approach to accelerated stability modeling and shelf-life determination - Joris Chau (Open Analytics)

10:45 Bayesian non-linear mixed effects model for safer powder storage - Arno Strouwen
11:05 Break
Break
11:05 - 11:30
Room: Foyer
11:30
11:30 - 13:00
Room: Auditorium
Contributions

11:30 New in JMP 18 and JMP Pro 18 - Phil Kay (JMP) Volker Kraft (JMP)

12:00 Design and analysis of split-plot, split-split-plot, and other stratified designs - Jose Nunez Ares (EFFEX)
11:30 - 13:00
Room: Conference room 3
Contributions

11:30 ENBIS live session - Christian Ritter (Université Catholique de Louvain) Jennifer Van Mullekom (Virginia Tech)
11:30 - 13:00
Room: Conference room 2
Contributions

11:30 Statistical Challenges in Pharmaceutical Industry - Tatsiana Khamiakova (Johnson and Johnson Innovative Medicine) Nicolas Sauwen (Open Analytics NV) Deniz Akinc Abdulhayoglu (Cencora Pharmalex) Bernard Francq (GSK)
11:30 - 13:00
Room: Conference room 1
Contributions

11:30 Active learning and adaptive sampling for regression data streams - Davide Cacciarelli (Imperial College London)

12:00 Statistical Process Monitoring of Artificial Neural Networks - Anna Malinovskaya (Leibniz University Hannover/Nala Earth GmbH)

12:30 Predictive Ratio Cusum (PRC): A Bayesian Approach in Online Change Point Detection of Short Runs - Panagiotis Tsiamyrtzis (Politecnico di Milano)
13:00 Lunch
Lunch
13:00 - 14:00
Room: Dining room
14:00
14:00 - 15:00
Room: Conference room 2
Contributions

14:00 A New Interpretation To The Equivalence Test (TOST) By (Bayesian) Success Probabilities. - Bernard Francq (GSK)

14:20 Statistics in practice, to handle a pandemic emergency. - Stefano Barone (University of Palermo)
14:00 - 15:00
Room: Conference room 1
Contributions

14:00 Penalized Spline Regression for Gaussian Function-on-Function Mixture-of-Experts - Jean Steve Tamo Tchomgui (Université Lyon2)

14:20 Statistical Analysis of Traffic Flow Profiles through Functional Graphical Models - Davide Forcina (Università degli Studi di Napoli Federico II)

14:40 Semiparametric predictive modeling of the electricity prices - Marek Brabec (Institute of computer science, Czech Academy of Sciences)
14:00 - 15:00
Room: Auditorium
Contributions

14:00 Dimension reduction for flow cytometry data for classification purposes - Anne Gégout-Petit (Université de Lorraine)

14:20 Investigation of corporate sustainability reporting through automated text analysis - Aleš Toman (University of Ljubljana, School of Economics and Business)

14:40 New insights about robust kernel PCA - Can Hakan Dagidir (KU Leuven)
14:00 - 15:00
Room: Conference room 3
Contributions

14:00 Measurement System Analysis for Parts Without a Reference Point - Mahmut Onur Karaman (Hacettepe University)

14:20 Improving the quality of data-driven projects in advanced manufacturing - Lindsay Lee (Advanced Manufacturing Research Centre)
15:00 Change
Change
15:00 - 15:05
15:05
15:05 - 16:05
Room: Auditorium
Contributions

15:05 Designing machine learning for industrial applications. From transfer learning to Physical Informed Machine Learning models. - Mathilde MOUGEOT (ENSIIE & ENS Paris-Saclay)
16:05

16:05 - 16:25
Room: Auditorium

16:25 Goodbye drink
Goodbye drink
16:25 - 18:30
Room: Dining room

17:30 Exec + office debriefing meeting
Exec + office debriefing meeting
17:30 - 18:30
Room: Conference room 2
Thursday, 19 September 2024
09:00 Transfer Learning. Theory, methods & applications - Mathilde MOUGEOT (ENSIIE & ENS Paris-Saclay)
Transfer Learning. Theory, methods & applications
- Mathilde MOUGEOT (ENSIIE & ENS Paris-Saclay)
09:00 - 13:00
Room: Conference room 1 https://conferences.enbis.org/event/59/
14:00 Active Learning in JMP - Phil Kay (SAS) Chris Gotwalt (JMP Division of SAS Institute)
Active Learning in JMP
- Phil Kay (SAS)
- Chris Gotwalt (JMP Division of SAS Institute)
14:00 - 18:00
Room: Conference room 1 https://conferences.enbis.org/event/60/