Zobrazeno 1 - 10
of 985 183
pro vyhledávání: '"Julia, A"'
Misinformation poses a significant challenge studied extensively by researchers, yet acquiring data to identify primary sharers is costly and challenging. To address this, we propose a low-barrier approach to differentiate social media users who are
Externí odkaz:
http://arxiv.org/abs/2408.15186
Autor:
Osuala, Richard, Joshi, Smriti, Tsirikoglou, Apostolia, Garrucho, Lidia, Pinaya, Walter H. L., Lang, Daniel M., Schnabel, Julia A., Diaz, Oliver, Lekadir, Karim
This paper presents a method for virtual contrast enhancement in breast MRI, offering a promising non-invasive alternative to traditional contrast agent-based DCE-MRI acquisition. Using a conditional generative adversarial network, we predict DCE-MRI
Externí odkaz:
http://arxiv.org/abs/2409.18872
This work introduces Text2FX, a method that leverages CLAP embeddings and differentiable digital signal processing to control audio effects, such as equalization and reverberation, using open-vocabulary natural language prompts (e.g., "make this soun
Externí odkaz:
http://arxiv.org/abs/2409.18847
Autor:
Manso, Julia
This paper introduces GephiForR, an R package designed to replicate Java-based Gephi's key plotting tools in R. The package is accessible to those with minimal R experience and, in particular, implements ForceAtlas2, the key layout feature developed
Externí odkaz:
http://arxiv.org/abs/2409.18646
Some of the most important open problems for linear layouts of graphs ask for the relation between a graph's queue number and its stack number or mixed number. In such, we seek a vertex order and edge partition of $G$ into parts with pairwise non-cro
Externí odkaz:
http://arxiv.org/abs/2409.17776
Autor:
Koch, Valentin, Bauer, Sabine, Luppberger, Valerio, Joner, Michael, Schunkert, Heribert, Schnabel, Julia A., von Scheidt, Moritz, Marr, Carsten
Background: The integration of multi-stain histopathology images through deep learning poses a significant challenge in digital histopathology. Current multi-modal approaches struggle with data heterogeneity and missing data. This study aims to overc
Externí odkaz:
http://arxiv.org/abs/2409.17775
Understanding and predicting recreational fishing activity is important for sustainable fisheries management. However, traditional methods of measuring fishing pressure, such as surveys, can be costly and limited in both time and spatial extent. Pred
Externí odkaz:
http://arxiv.org/abs/2409.17425
Generating protein sequences conditioned on protein structures is an impactful technique for protein engineering. When synthesizing engineered proteins, they are commonly translated into DNA and expressed in an organism such as yeast. One difficulty
Externí odkaz:
http://arxiv.org/abs/2409.17265
Optimal decision-making under partial observability requires reasoning about the uncertainty of the environment's hidden state. However, most reinforcement learning architectures handle partial observability with sequence models that have no internal
Externí odkaz:
http://arxiv.org/abs/2409.16824
Autor:
Salmi, Tuomo, Deneva, Julia S., Ray, Paul S., Watts, Anna L., Choudhury, Devarshi, Kini, Yves, Vinciguerra, Serena, Cromartie, H. Thankful, Wolff, Michael T., Arzoumanian, Zaven, Bogdanov, Slavko, Gendreau, Keith, Guillot, Sebastien, Ho, Wynn C. G., Morsink, Sharon M., Cognard, Ismael, Guillemot, Lucas, Theureau, Gilles, Kerr, Matthew
Recent constraints on neutron star mass and radius have advanced our understanding of the equation of state of cold dense matter. Some of them have been obtained by modeling the pulses of three millisecond X-ray pulsars observed by the Neutron Star I
Externí odkaz:
http://arxiv.org/abs/2409.14923