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
5 papers · 1 filter
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…