Name: ENBIS Spring Meeting 2024
Start: 2024-05-15T08:00:00+02:00
End: 2024-05-16T17:40:00+02:00
Location: Dortmund

ENBIS Spring Meeting 2024

from Wednesday, 15 May 2024 (08:00) to Thursday, 16 May 2024 (17:40)

Monday, 13 May 2024
Tuesday, 14 May 2024
Wednesday, 15 May 2024

08:00 8:00 - 17:00
8:00 - 17:00
08:00 - 09:00
Room: Foyer Second Floor

09:00 Opening
Opening
09:00 - 09:15
09:15 1
1
09:15 - 10:15
Contributions

09:15 Statistical Inference for Trustworthy AI: Cases for xAI and Uncertainty Quantification - Nicolas Brunel (LaMME (Laboratoire de Modélisation et Mathématiques d'EVRY), EDMH)
10:15 Break
Break
10:15 - 10:30
10:30 1
1
10:30 - 12:10
Contributions

10:30 Trustworthy Federated Learning in Healthcare - Michael Kamp (Institute for AI in Medicine (IKIM), UK Essen)

10:55 Explainable AI and clinical real-world data for personalized cancer treatment - Julius Keyl (UK Essen)

11:20 Interpretable AI in Medicine: Generating Radiological Reports with Panoptic Scene Graphs - Constantin Seibold (University Clinik Essen)

11:45 Machine learning and interpretability methods to investigate Alzheimer's disease - Louise Bloch (Department of Computer Science, University of Applied Sciences and Arts Dortmund)
12:10 Lunch break
Lunch break
12:10 - 13:20
13:20 1
1
13:20 - 14:40
Contributions

13:20 Anomaly Detection in Ordinal Quality-Related Processes by Control Charts - Christian Weiß (Helmut Schmidt University)

13:40 Application of Sign Depth to Point Process Models - Mirko Jakubzik (TU Dortmund University)

14:00 A Gradient-Enhanced Neural Network as a Surrogate for Elastoplastic Finite Element Analysis - Ali Osman Mert Kilicsoy (TU Dortmund, CRE)

14:20 On the trustworthiness of simulation based uncertainty evaluations for industrial measurement instruments like CMMs - Gertjan Kok (VSL)
14:40 Blitz Presentation
Blitz Presentation
14:40 - 15:00
Contributions

14:40 Automated Supervision and Validation of On-Site Consumption Data at TU Dortmund University - Felix Fesca (TU Dortmund University)

14:44 Discrimination certain group of people through Artificial Intelligence. - Evgenia Kovalskaya (FH Dortmund)

14:48 Global Sensitivity Analysis for Assessing Fairness of Artificial Intelligence for Medical Data - Lara Kuhlmann de Canaviri (Fachhochschule Dortmund)

14:51 A Robust Multivariate Profile Monitoring Framework - Antonio Lepore (Università degli Studi di Napoli Federico II - Dept. of Industrial Engineering)
15:00 Break & Posterwalk
Break & Posterwalk
15:00 - 15:30
15:30 2
2
15:30 - 16:30
Contributions

15:30 Methods for Quantifying Dataset Similarity: a Review, Taxonomy and Comparison - Marieke Stolte (Department of Statistics, TU Dortmund University)

15:50 Explanation Groves – Analyzing the Trade-off between Complexity and Adequacy of an Explanation - Gero Szepannek (Stralsund University of Applied Sciences)

16:10 Quality aspects of machine learning in official statistics - Florian Dumpert (Federal Statistical Office of Germany)
16:30 Short Break
Short Break
16:30 - 16:35
16:35
16:35 - 17:15
Contributions

16:35 Making data models better explainable and actionable using JMP Profilers - Volker Kraft (JMP)
Thursday, 16 May 2024

08:00 8:00 - 12:00
8:00 - 12:00
08:00 - 09:00
09:00 2
2
09:00 - 10:00
Contributions

09:00 Towards Compliance of AI Algorithms : Bias Analysis and Robustness. - Jean-Michel Loubes (Université Toulouse)
10:00 3
3
10:00 - 10:40
Contributions

10:00 Training Gradient Boosted Decision Trees on Tabular Data Containing Label Noise for Classification Tasks - Anita Eisenbürger (Debeka)

10:20 Why Order Matters for Ordinal Prediction with Random Forests - Philip Buczak (TU Dortmund University)
10:40 Break
Break
10:40 - 11:00
11:00 2
2
11:00 - 12:15
Contributions

11:00 Cooperative Game Theory and Importance Quantification - Marouane IL IDRISSI (Institut de Mathématiques de Toulouse)

11:25 Global Sensitivity Analysis Reporting Tool for Easily Detecting Variable Impact and Interaction - Elena Raponi (LIACS, Leiden University)

11:50 Adaptive Conformal Prediction by Reweighting Nonconformity Score - Salim I. Amoukou (University Paris Saclay)
12:15 Lunch
Lunch
12:15 - 13:30
13:30 4
4
13:30 - 14:10
Contributions

13:30 Trust in automated systems as a multidimensional psychological construct - Philipp Doebler (TU Dortmund - Fakultät Statistik)

13:50 Security evaluation of Deep Neural Networks and Gradient Boosting Decision Trees in an insurance context - Robin Kühlem (Debeka)
14:10 Short Break
Short Break
14:10 - 14:15
14:15 3
3
14:15 - 15:30
Contributions

14:15 Dataset Bias in Human Activity Recognition for Industrial Processes - Nilah Ravi Nair (https://www.tu-dortmund.de/)

14:40 Mitigating Emergency Stop Collisions in AGV Fleets in Case of Control Failure - Natalia Ogorelysheva (Fraunhofer IML)

15:05 Benchmarking Trust: A Metric for Trustworthy Machine - Jérôme Rutinowski (TU Dortmund University)
15:30 Break
Break
15:30 - 15:45
15:45 3
3
15:45 - 16:45
Contributions

15:45 On Trustworthiness of Large Language Models - Muhammad Bilal Zafar (Ruhr University Bochum and Research Center for Trustworthy Data Science and Security)
16:45

16:45 - 17:00

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