Zobrazeno 1 - 10
of 10 472
pro vyhledávání: '"A Langheinrich"'
Autor:
De Bona, Francesco Bombassei, Dominici, Gabriele, Miller, Tim, Langheinrich, Marc, Gjoreski, Martin
As AI becomes fundamental in sectors like healthcare, explainable AI (XAI) tools are essential for trust and transparency. However, traditional user studies used to evaluate these tools are often costly, time consuming, and difficult to scale. In thi
Externí odkaz:
http://arxiv.org/abs/2410.17781
Autor:
Huckemann, Till, Muster, Pascal, Langheinrich, Wolfram, Brackmann, Varvara, Friedrich, Michael, Komerički, Nikola D., Diebel, Laura K., Stieß, Verena, Bougeard, Dominique, Dahl, Claus, Schreiber, Lars R., Bluhm, Hendrik
This paper reports the compatibility of heterostructure-based spin qubit devices with industrial CMOS technology. It features Si/Si-Ge quantum dot devices fabricated using Infineon's 200 mm production line within a restricted thermal budget. The devi
Externí odkaz:
http://arxiv.org/abs/2410.16913
Clustering algorithms rely on complex optimisation processes that may be difficult to comprehend, especially for individuals who lack technical expertise. While many explainable artificial intelligence techniques exist for supervised machine learning
Externí odkaz:
http://arxiv.org/abs/2409.12632
Autor:
Dominici, Gabriele, Barbiero, Pietro, Zarlenga, Mateo Espinosa, Termine, Alberto, Gjoreski, Martin, Marra, Giuseppe, Langheinrich, Marc
Causal opacity denotes the difficulty in understanding the "hidden" causal structure underlying the decisions of deep neural network (DNN) models. This leads to the inability to rely on and verify state-of-the-art DNN-based systems, especially in hig
Externí odkaz:
http://arxiv.org/abs/2405.16507
Autor:
Fenoglio, Dario, Dominici, Gabriele, Barbiero, Pietro, Tonda, Alberto, Gjoreski, Martin, Langheinrich, Marc
Federated Learning (FL), a privacy-aware approach in distributed deep learning environments, enables many clients to collaboratively train a model without sharing sensitive data, thereby reducing privacy risks. However, enabling human trust and contr
Externí odkaz:
http://arxiv.org/abs/2405.15632
Autor:
Ezzeddine, Fatima, Saad, Mirna, Ayoub, Omran, Andreoletti, Davide, Gjoreski, Martin, Sbeity, Ihab, Langheinrich, Marc, Giordano, Silvia
Anomaly detection (AD), also referred to as outlier detection, is a statistical process aimed at identifying observations within a dataset that significantly deviate from the expected pattern of the majority of the data. Such a process finds wide app
Externí odkaz:
http://arxiv.org/abs/2404.06144
Autor:
Dominici, Gabriele, Barbiero, Pietro, Giannini, Francesco, Gjoreski, Martin, Marra, Giuseppe, Langheinrich, Marc
Current deep learning models are not designed to simultaneously address three fundamental questions: predict class labels to solve a given classification task (the "What?"), simulate changes in the situation to evaluate how this impacts class predict
Externí odkaz:
http://arxiv.org/abs/2402.01408
Autor:
Klix, Simon, Albartus, Nils, Speith, Julian, Staat, Paul, Verstege, Alice, Wilde, Annika, Lammers, Daniel, Langheinrich, Jörn, Kison, Christian, Sester-Wehle, Sebastian, Holcomb, Daniel, Paar, Christof
Intellectual Property (IP) theft is a cause of major financial and reputational damage, reportedly in the range of hundreds of billions of dollars annually in the U.S. alone. Field Programmable Gate Arrays (FPGAs) are particularly exposed to IP theft
Externí odkaz:
http://arxiv.org/abs/2312.06195
Autor:
Corley-Wiciak, C., Zoellner, M. H., Zaitsev, I., Anand, K., Zatterin, E., Yamamoto, Y., Corley-Wiciak, A. A., Reichmann, F., Langheinrich, W., Schreiber, L. R., Manganelli, C. L., Virgilio, M., Richter, C., Capellini, G.
Publikováno v:
Phys. Rev. Applied 20, 024056, 2023
The lattice strain induced by metallic electrodes can impair the functionality of advanced quantum devices operating with electron or hole spins. Here we investigate the deformation induced by CMOS-manufactured titanium nitride electrodes on the latt
Externí odkaz:
http://arxiv.org/abs/2304.09120
Autor:
Tonina T. Mueller, Mona Pilartz, Manovriti Thakur, Torben LangHeinrich, Junfu Luo, Rebecca Block, Jonathan K.L. Hoeflinger, Sarah Meister, Flavio Karaj, Laura Garcia Perez, Rupert Öllinger, Thomas Engleitner, Jakob Thoss, Michael Voelkl, Claudia Tersteeg, Uwe Koedel, Alexander Zigman Kohlmaier, Daniel Teupser, Malgorzata Wygrecka, Haifeng Ye, Klaus T. Preissner, Helena Radbruch, Sefer Elezkurtaj, Matthias Mack, Philipp von Hundelshausen, Christian Weber, Steffen Massberg, Christian Schulz, Roland Rad, Samuel Huber, Hellen Ishikawa-Ankerhold, Bernd Engelmann
Publikováno v:
Haematologica, Vol 999, Iss 1 (2024)
Innate myeloid cells especially neutrophils and their extracellular traps are known to promote intravascular coagulation and thrombosis formation in infections and various other conditions. Innate myeloid cell dependent fibrin formation can support s
Externí odkaz:
https://doaj.org/article/4839f9e3a00e42f59cb668d05a73ce41
