Zobrazeno 1 - 10
of 5 746
pro vyhledávání: '"Keim, P."'
Melting of two-dimensional mono-crystals is described within the celebrated Kosterlitz-Thouless-Halperin-Nelson-Young scenario (KTHNY-Theory) by the dissociation of topological defects. It describes the shielding of elasticity due to thermally activa
Externí odkaz:
http://arxiv.org/abs/2411.13433
Melting in 2D is described by the celebrated Kosterlitz-Thouless-Halperin-Nelson-Young (KTHNY) theory. The unbinding of two different types of topological defects destroys translational and orientational order at different temperatures. The intermedi
Externí odkaz:
http://arxiv.org/abs/2411.06464
Autor:
Meilander, Jeff, Herman, Chloe, Manley, Andrew, Augustine, Georgia, Birdsell, Dawn, Bolyen, Evan, Celona, Kimberly R., Coffey, Hayden, Cocking, Jill, Donoghue, Teddy, Draves, Alexis, Erickson, Daryn, Foley, Marissa, Gehret, Liz, Hagen, Johannah, Hepp, Crystal, Ingram, Parker, John, David, Kadar, Katarina, Keim, Paul, Lloyd, Victoria, Osterink, Christina, Queeney, Victoria, Ramirez, Diego, Romero, Antonio, Ruby, Megan C., Sahl, Jason W., Soloway, Sydni, Stone, Nathan E., Trottier, Shannon, Van Orden, Kaleb, Painter, Alexis, Wallace, Sam, Wilcox, Larissa, Wood, Colin V., Yancey, Jaiden, Caporaso, J. Gregory
Human excrement composting (HEC) is a sustainable strategy for human excrement (HE) management that recycles nutrients and mitigates health risks while reducing reliance on freshwater, fossil fuels, and fertilizers. We present a comprehensive microbi
Externí odkaz:
http://arxiv.org/abs/2411.04148
Autor:
Tang, Yimeng, Romanowsky, Aaron J., van Dokkum, Pieter G., Jarrett, T. H., Bundy, Kevin A., Buzzo, Maria Luisa, Danieli, Shany, Gannon, Jonah S., Keim, Michael A., Laine, Seppo, Shen, Zili
NGC 1052-DF2 and -DF4 are two ultra-diffuse galaxies that have been reported as deficient in dark matter and associated with the same galaxy group. Recent findings suggest that DF2 and DF4 are part of a large linear substructure of dwarf galaxies tha
Externí odkaz:
http://arxiv.org/abs/2410.19331
Autor:
Schlegel, Udo, Keim, Daniel A.
The field of Explainable Artificial Intelligence (XAI) for Deep Neural Network models has developed significantly, offering numerous techniques to extract explanations from models. However, evaluating explanations is often not trivial, and difference
Externí odkaz:
http://arxiv.org/abs/2408.15073
We propose an interactive methodology for generating counterfactual explanations for univariate time series data in classification tasks by leveraging 2D projections and decision boundary maps to tackle interpretability challenges. Our approach aims
Externí odkaz:
http://arxiv.org/abs/2408.10633
Understanding how models process and interpret time series data remains a significant challenge in deep learning to enable applicability in safety-critical areas such as healthcare. In this paper, we introduce Sequence Dreaming, a technique that adap
Externí odkaz:
http://arxiv.org/abs/2408.10628
Publikováno v:
2024 IEEE Visualization in Data Science (VDS)
Efficient public transport systems are crucial for sustainable urban development as cities face increasing mobility demands. Yet, many public transport networks struggle to meet diverse user needs due to historical development, urban constraints, and
Externí odkaz:
http://arxiv.org/abs/2407.10791
In academic research, systematic literature reviews are foundational and highly relevant, yet tedious to create due to the high volume of publications and labor-intensive processes involved. Systematic selection of relevant papers through conventiona
Externí odkaz:
http://arxiv.org/abs/2407.10652
Autor:
Miller, Matthias, Fürst, Daniel, Fischer, Maximilian T., Hauptmann, Hanna, Keim, Daniel, El-Assady, Mennatallah
Manual melody detection is a tedious task requiring high expertise level, while automatic detection is often not expressive or powerful enough. Thus, we present MelodyVis, a visual application designed in collaboration with musicology experts to expl
Externí odkaz:
http://arxiv.org/abs/2407.05427