Zobrazeno 1 - 10
of 10 841
pro vyhledávání: '"Abele A"'
Distributed time series data presents a challenge for federated learning, as clients often possess different feature sets and have misaligned time steps. Existing federated time series models are limited by the assumption of perfect temporal or featu
Externí odkaz:
http://arxiv.org/abs/2410.21072
Autor:
Kerkmann, David, Korf, Sascha, Nguyen, Khoa, Abele, Daniel, Schengen, Alain, Gerstein, Carlotta, Göbbert, Jens Henrik, Basermann, Achim, Kühn, Martin J., Meyer-Hermann, Michael
Agent-based models have proven to be useful tools in supporting decision-making processes in different application domains. The advent of modern computers and supercomputers has enabled these bottom-up approaches to realistically model human mobility
Externí odkaz:
http://arxiv.org/abs/2410.08050
Autor:
Geerits, Niels, Hack, Simon, van Well, Ad, Parnell, Steven R., Abele, Hartmut, Sponar, Stephan
The broad band resonant spin echo interferometer, CANISIUS, is presented. CANISIUS is built in a versatile way, such that it can be operated in both a continuous broad band beam or a pulsed Time of Flight beam. This versatility also extends to the mo
Externí odkaz:
http://arxiv.org/abs/2408.06216
Autor:
Burankova, Yuliya, Abele, Miriam, Bakhtiari, Mohammad, von Törne, Christine, Barth, Teresa, Schweizer, Lisa, Giesbertz, Pieter, Schmidt, Johannes R., Kalkhof, Stefan, Müller-Deile, Janina, van Veelen, Peter A, Mohammed, Yassene, Hammer, Elke, Arend, Lis, Adamowicz, Klaudia, Laske, Tanja, Hartebrodt, Anne, Frisch, Tobias, Meng, Chen, Matschinske, Julian, Späth, Julian, Röttger, Richard, Schwämmle, Veit, Hauck, Stefanie M., Lichtenthaler, Stefan, Imhof, Axel, Mann, Matthias, Ludwig, Christina, Kuster, Bernhard, Baumbach, Jan, Zolotareva, Olga
Quantitative mass spectrometry has revolutionized proteomics by enabling simultaneous quantification of thousands of proteins. Pooling patient-derived data from multiple institutions enhances statistical power but raises significant privacy concerns.
Externí odkaz:
http://arxiv.org/abs/2407.15220
Autor:
Ganz, Jonathan, Marzahl, Christian, Ammeling, Jonas, Richter, Barbara, Puget, Chloé, Denk, Daniela, Demeter, Elena A., Tabaran, Flaviu A., Wasinger, Gabriel, Lipnik, Karoline, Tecilla, Marco, Valentine, Matthew J., Dark, Michael J., Abele, Niklas, Bolfa, Pompei, Erber, Ramona, Klopfleisch, Robert, Merz, Sophie, Donovan, Taryn A., Jabari, Samir, Bertram, Christof A., Breininger, Katharina, Aubreville, Marc
The count of mitotic figures (MFs) observed in hematoxylin and eosin (H&E)-stained slides is an important prognostic marker as it is a measure for tumor cell proliferation. However, the identification of MFs has a known low inter-rater agreement. Dee
Externí odkaz:
http://arxiv.org/abs/2406.19899
Federated learning (FL) enables a set of geographically distributed clients to collectively train a model through a server. Classically, the training process is synchronous, but can be made asynchronous to maintain its speed in presence of slow clien
Externí odkaz:
http://arxiv.org/abs/2406.01438
Autor:
Islam, Md Zobaer, Abele, Ethan, Hossain, Fahim Ferdous, Ahmad, Arsalan, Ekin, Sabit, O'Hara, John F.
Channel turbulence presents a formidable obstacle for free-space optical (FSO) communication. Anticipation of turbulence levels is highly important for mitigating disruptions. We study the application of machine learning (ML) to FSO data streams to r
Externí odkaz:
http://arxiv.org/abs/2405.16729
Effective large-scale process optimization in manufacturing industries requires close cooperation between different human expert parties who encode their knowledge of related domains as Bayesian network models. For instance, Bayesian networks for dom
Externí odkaz:
http://arxiv.org/abs/2405.15055
Autor:
Martvel, George, Abele, Greta, Bremhorst, Annika, Canori, Chiara, Farhat, Nareed, Pedretti, Giulia, Shimshoni, Ilan, Zamansky, Anna
Affective computing for animals is a rapidly expanding research area that is going deeper than automated movement tracking to address animal internal states, like pain and emotions. Facial expressions can serve to communicate information about these
Externí odkaz:
http://arxiv.org/abs/2405.11501
Large language models (LLMs) increasingly serve as the backbone for classifying text associated with distinct domains and simultaneously several labels (classes). When encountering domain shifts, e.g., classifier of movie reviews from IMDb to Rotten
Externí odkaz:
http://arxiv.org/abs/2405.01883