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1. ITL
2. News: 7/1/2011
Integration of logistical nodes in the transport demand modeling of freight transport

for the development of freight transport genesis. Approach By evaluating existing data sources and specially collected data, specific key figures on the genesis of goods flows and customer relationships, [...] and on transport and trip volumes are made available in the sense of the desired typology. The analysis is carried out using selected multivariate/static methods. Building on this, a transport demand …
1. WKF-SB
2. News: 9/20/2024
UA Ruhr-funded Civic Education Research Lab starts in October

workshop to exchange about projects on civic education and learn innovative methods for secondary data analysis, and a digital joint symposium at a scientific conference. In addition, CERL will address important [...] EPKO ), longitudinal educational studies (National Educational Panel Study NEPS ) and application of data science methods in the social sciences ( FAIR ). CERL offers a series of events to connect and foster …
1. AI
2. Event: 7/9/2024
Inherent limitations to AI fairness

machine learning and data science, as well as on applications of AI in fields ranging from bioinformatics, over music informatics, sports analytics, to social and mainstream media analysis. His current research [...] research interests include exploratory data science, trustworthiness of AI, the impact of AI on information integrity and democracy, and applications of AI to the labor market and human resources management …
1. RCS
2. News: 3/22/2024
Two talks @ GMA meeting Reisensburg 2024

place as usual at the Wissenschaftszentrum Schloss Reisensburg. Dieter Teichrib gave a talk on the “Analysis of Neural Network-Based Controllers via Mixed-Integer Programming” based on results previously [...] contributed to IFAC WC 2023 and to CDC 2023. Manuel Klädtke gave a talk titled “Towards Explainable Data-Driven Predictive Control with Regularizations” based on results previously published in the L-CSS [...] https://arxiv.org/abs/2311.04580 M. Klädtke and M. Schulze Darup. Implicit predictors in regularized data-driven predictive control , IEEE Control Systems Letters , vol. 7, pp. 2479-2484, 2023. DOI: 10.1007/LCSYS …
1. Arbeitsgruppe Albrecht
2. Event: 4/5/2023
Particles Colloquium: Rare charm decays D0->hhee and long tracks reconstruction for the Run3 trigger's HLT1 level

asymmetries. LHCb is performing the very first analysis on these decays using Run2 data. The trigger efficiency on these decays can be improved during the Run3 data taking by removing the L0 hardware trigger …
1. Department of Statistics
Prospective Students

statisticians is limited to collecting and presenting data. But in fact, the field of statistics consists of applied mathematics and problem-oriented data analysis with interdisciplinary applications. Today, hardly …
1. IPS
2. Research & Consult
3. Laboratory Space
Details

management system to maintain the employability of employees or the generation of process data for data analysis. Based on the strong orientation towards practice in our laboratory space, some research …
1. CNI
2. News: 4/13/2022
DRaGon: Mining latent radio channel information from geographical data leveraging deep learning

It is found that the combination of expert knowledge from the communications domain and the data analysis capabilities of deep learning allows to achieve a significantly higher prediction accuracy than [...] learning-enabled method for automatic generation of Radio Environmental Maps (REMs) from geographical data. For achieving accurate path loss prediction results, DRaGon combines determining features extracted …
1. GRK 2624
Seminar

Outcomes: Effects and Nonparametric Analysis Methods Prof. Dr. Edgar Brunner , Emeritus, Department of Medical Statistics, Universitätsmedizin Göttingen The analysis of multiple and composite endpoints [...] process modeling and unplanned data. Different model types are explained in practical examples. 30.10.2023 at 4:15 p.m., TU Dortmund, CDI 120 Statistical Planning and Analysis of Translational Trials Frank [...] 4:15 p.m., TU Dortmund, M/E 21 and via Zoom Random forests on high-dimensional data: from classification and survival analysis to generative modelling Prof. Dr. Marvin N. Wright , Leibniz-Institut für Pr …
1. LRE
2. Research
3. Projects
Research project DFG P-box fields

high spatial resolution data and replicated experiments, which can be costly and time-consuming to obtain. Interval fields prioritize objectivity and accuracy with limited data, focusing solely on bounding [...] P-box fields: definition, analysis and practical applications DFG 530326817 In modern engineering, structures are often designed to their performance limits, requiring the increasing use of uncertainty [...] parameters vary within individual components. These variations are often limited by the available data, both spatially and stochastically. Two frameworks for modelling uncertainty have emerged: random …