Zobrazeno 1 - 10
of 2 417
pro vyhledávání: '"Molina, Rafael"'
Autor:
Castro-Macías, Francisco M., Morales-Álvarez, Pablo, Wu, Yunan, Molina, Rafael, Katsaggelos, Aggelos K.
Multiple Instance Learning (MIL) is widely used in medical imaging classification to reduce the labeling effort. While only bag labels are available for training, one typically seeks predictions at both bag and instance levels (classification and loc
Externí odkaz:
http://arxiv.org/abs/2410.03276
The electronic excitation spectrum of a material characterises the response to external electromagnetic perturbations through its energy loss function (ELF), which is obtained from several experimental sources that usually do not completely agree amo
Externí odkaz:
http://arxiv.org/abs/2410.02370
In this work, we investigate the single-photon transport through two whispering gallery resonators (WGRs) coupled to a one-dimensional waveguide. Using Green's function formalism, we compute the transmission spectra and the photonic density of states
Externí odkaz:
http://arxiv.org/abs/2409.15071
Autor:
Baba, Yuriko, Junk, Vanessa, Hogger, Wolfgang, Domínguez-Adame, Francisco, Molina, Rafael A., Richter, Klaus
Recent experiments, combing ultrafast strong-field irradiation of surfaces with time- and angle-resolved photoemission spectroscopy, allow for monitoring the time-dependent charge carrier dynamics and the build-up of transient sidebands due to the ra
Externí odkaz:
http://arxiv.org/abs/2409.00285
Semi-Dirac materials in 2D present an anisotropic dispersion relation, linear along one direction and quadratic along the perpendicular one. This study explores the topological properties and the influence of disorder in a 2D semi-Dirac Hamiltonian.
Externí odkaz:
http://arxiv.org/abs/2406.08365
Publikováno v:
Physical Review E 110 (2024) 034405
We have determined the depth-dose curve, the penetration range, and the water equivalent ratio (WER), for proton beams of clinical energies in cortical bone, by means of a detailed and accurate simulation that combines molecular dynamics and Monte Ca
Externí odkaz:
http://arxiv.org/abs/2404.16667
Autor:
Schmidt, Arne, Morales-Álvarez, Pablo, Cooper, Lee A. D., Newberg, Lee A., Enquobahrie, Andinet, Katsaggelos, Aggelos K., Molina, Rafael
Active Learning (AL) has the potential to solve a major problem of digital pathology: the efficient acquisition of labeled data for machine learning algorithms. However, existing AL methods often struggle in realistic settings with artifacts, ambigui
Externí odkaz:
http://arxiv.org/abs/2404.04663
Autor:
Wang, Xijun, López-Tapia, Santiago, Lucas, Alice, Wu, Xinyi, Molina, Rafael, Katsaggelos, Aggelos K.
Generative Adversarial Networks (GANs) have shown great performance on super-resolution problems since they can generate more visually realistic images and video frames. However, these models often introduce side effects into the outputs, such as une
Externí odkaz:
http://arxiv.org/abs/2403.10589
Over the last few decades, the study of Bound States in the Continuum, their formation, and properties has attracted lots of attention, especially in optics and photonics. It is particularly noticeable that most of these investigations base their stu
Externí odkaz:
http://arxiv.org/abs/2401.02707