121 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Technische Universität IlmenauDE5 papers
- Universität HamburgDE4 papers
- New York UniversityUS3 papers
- Freie Universität BerlinDE2 papers
- Hamburg University of TechnologyDE2 papers
- Bielefeld UniversityDE1 paper
- Brandenburg University of Technology Cottbus-SenftenbergDE1 paper
- City University of Hong KongHK1 paper
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE1 paper
- Friedrich Schiller University JenaDE1 paper
- German Institute for Economic ResearchDE1 paper
- Hamburg Institut (Germany)DE1 paper
33 papers
DISCIE -- Discriminative Closed Information Extraction
Cedric Möller, Ricardo Usbeck
This paper introduces a novel method for closed information extraction. The method employs a discriminative approach that incorporates type and entity-specific information to impro…
Analyzing the Influence of Knowledge Graph Information on Relation Extraction
Cedric Möller, Ricardo Usbeck
We examine the impact of incorporating knowledge graph information on the performance of relation extraction models across a range of datasets. Our hypothesis is that the positions…
Robust Maneuver Planning With Scalable Prediction Horizons: A Move Blocking Approach
Philipp Schitz, Johann C. Dauer, Paolo Mercorelli
Implementation of Model Predictive Control (MPC) on hardware with limited computational resources remains a challenge. Especially for long-distance maneuvers that require small sam…
Relevance of the Basset history term for Lagrangian particle dynamics
Julio Urizarna-Carasa, Daniel Ruprecht, Alexandra von Kameke +1
The movement of small but finite spherical particles in a fluid can be described by the Maxey-Riley equation (MRE) if they are too large to be considered passive tracers. The MRE c…
Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data
Daniyar Amangeldi, Aida Usmanova, Pakizar Shamoi
Social media is now the predominant source of information due to the availability of immediate public response. As a result, social media data has become a valuable resource for co…
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
Federico Berto, Chuanbo Hua, Junyoung Park +30
Combinatorial optimization (CO) is fundamental to several real-world applications, from logistics and scheduling to hardware design and resource allocation. Deep reinforcement lear…
OpenCitations Meta
Arcangelo Massari, Fabio Mariani, Ivan Heibi +2
OpenCitations Meta is a new database for open bibliographic metadata of scholarly publications involved in the citations indexed by the OpenCitations infrastructure, adhering to Op…
Lagrangian studies of coherent sets and heat transport in constant heat flux-driven turbulent Rayleigh-Bénard convection
Philipp P. Vieweg, Anna Klünker, Jörg Schumacher +1
We explore the mechanisms of heat transfer in a turbulent constant heat flux-driven Rayleigh-Bénard convection flow, which exhibits a hierarchy of flow structures from granules to…
Self-Supervised Siamese Autoencoders
Friederike Baier, Sebastian Mair, Samuel G. Fadel
In contrast to fully-supervised models, self-supervised representation learning only needs a fraction of data to be labeled and often achieves the same or even higher downstream pe…
Centralized and decentral approaches to succeed the 100% energiewende in Germany in the European context: A model-based analysis of generation, network, and storage investments
Mario Kendziorski, Leonard Göke, Christian von Hirschhausen +2
In this paper, we explore centralized and more decentral approaches to succeed the energiewende in Germany, in the European context. We use the AnyMOD framework to model a future r…
Open-flow mixing and transfer operators
Anna Klünker, Kathrin Padberg-Gehle, Jean-Luc Thiffeault
We study finite-time mixing in time-periodic open flow systems. We describe the transport of densities in terms of a transfer operator, which is represented by the transition matri…
Evolutionary clustering of Lagrangian trajectories in turbulent Rayleigh-Bénard convection flows
Christiane Schneide, Philipp P. Vieweg, Jörg Schumacher +1
We explore the transport mechanisms of heat in two- and three-dimensional turbulent convection flows by means of the long-term evolution of Lagrangian coherent sets. They are obtai…
Phase-field modelling for fatigue crack growth under laser-shock-peening-induced residual stresses
Martha Seiler, Sören Keller, Nikolai Kashaev +2
For the fatigue life of thin-walled components, not only fatigue crack initiation, but also crack growth is decisive. The phase-field method for fracture is a powerful tool to simu…
Lagrangian heat transport in turbulent three-dimensional convection
Philipp P. Vieweg, Christiane Schneide, Kathrin Padberg-Gehle +1
Spatial regions that do not mix effectively with their surroundings and thus contribute less to the heat transport in fully turbulent three-dimensional Rayleigh-Bénard flows are id…
Principled Interpolation in Normalizing Flows
Samuel G. Fadel, Sebastian Mair, Ricardo da S. Torres +1
Generative models based on normalizing flows are very successful in modeling complex data distributions using simpler ones. However, straightforward linear interpolations show unex…
Lost-customers approximation of semi-open queueing networks with backordering -- An application to minimise the number of robots in robotic mobile fulfilment systems
Sonja Otten, Ruslan Krenzler, Lin Xie +2
We consider a semi-open queueing network (SOQN), where a customer requires exactly one resource from the resource pool for service. If there is a resource available, the customer i…
The spherical multipole resonance probe: kinetic damping in its spectrum
Jens Oberrath
The multipole resonance probe is one of the recently developed measurement devices to measure plasma parameter like electron density and temperature based on the concept of active…
Distantly Supervised Question Parsing
Hamid Zafar, Maryam Tavakol, Jens Lehmann
The emergence of structured databases for Question Answering (QA) systems has led to developing methods, in which the problem of learning the correct answer efficiently is based on…
Lagrangian coherent sets in turbulent Rayleigh-Bénard convection
Christiane Schneide, Martin Stahn, Ambrish Pandey +4
Coherent circulation rolls and their relevance for the turbulent heat transfer in a two-dimensional Rayleigh--Bénard convection model are analyzed. The flow is in a closed cell of…
The Practice of Naturalness: A Historical-Philosophical Perspective
Arianna Borrelli, Elena Castellani
The fact that no evidence of new physics was found so far by LHC experiments has led some to call for the abandonment of the naturalness criterion. Others, on the contrary, have fe…
Efficient order picking methods in robotic mobile fulfillment systems
Lin Xie, Nils Thieme, Ruslan Krenzler +1
Robotic mobile fulfillment systems (RMFSs) are a new type of warehousing system, which has received more attention recently, due to increasing growth in the e-commerce sector. Inst…
Network Measures of Mixing
Ralf Banisch, Péter Koltai, Kathrin Padberg-Gehle
Transport and mixing processes in fluid flows can be studied directly from Lagrangian trajectory data, such as obtained from particle tracking experiments. Recent work in this cont…
Parameterized Synthetic Image Data Set for Fisheye Lens
Zhen Chen, Anthimos Georgiadis
Based on different projection geometry, a fisheye image can be presented as a parameterized non-rectilinear image. Deep neural networks(DNN) is one of the solutions to extract para…
Variational Bayesian hierarchical regression for data analysis
Dennis Becker
Collected data, which is used for analysis or prediction tasks, often have a hierarchical structure, for example, data from various people performing the same task. Modeling the da…