Zobrazeno 1 - 10
of 12 857
pro vyhledávání: '"Rutherford, P."'
Autor:
Yang, Hao-Chun, Dai, Sicheng, Rutherford, Saige, Marquand, Christian Gaser Andre F, Beckmann, Christian F, Wolfers, Thomas
Unsupervised anomaly detection in brain imaging is challenging. In this paper, we propose a self-supervised masked mesh learning for unsupervised anomaly detection in 3D cortical surfaces. Our framework leverages the intrinsic geometry of the cortica
Externí odkaz:
http://arxiv.org/abs/2412.05580
This study introduces AyutthayaAlpha, an advanced transformer-based machine learning model designed for the transliteration of Thai proper names into Latin script. Our system achieves state-of-the-art performance with 82.32% first-token accuracy and
Externí odkaz:
http://arxiv.org/abs/2412.03877
Autor:
Fraser-McKelvie, A., van de Sande, J., Gadotti, D. A., Emsellem, E., Brown, T., Fisher, D. B., Martig, M., Bureau, M., Gerhard, O., Battisti, A. J., Bland-Hawthorn, J., Catinella, B., Combes, F., Cortese, L., Croom, S. M., Davis, T. A., Falcón-Barroso, J., Fragkoudi, F., Freeman, K. C., Hayden, M. R., McDermid, R., Ciraulo, B. Mazzilli, Mendel, J. T., Pinna, F., Poci, A., Rutherford, T. H., de Sá-Freitas, C., Silva-Lima, L. A., Valenzuela, L. M., van de Ven, G., Wang, Z., Watts, A. B.
The vertical evolution of galactic discs is governed by the sub-structures within them. We examine the diversity of kinematic sub-structure present in the first 12 galaxies observed from the GECKOS survey, a VLT/MUSE large programme providing a syste
Externí odkaz:
http://arxiv.org/abs/2411.03430
Autor:
González-Rivas, Mario U., Aamlid, Solveig S., Rutherford, Megan R., Freese, Jessica, Sutarto, Ronny, Chen, Ning, Villalobos-Portillo, Edgar E., Castillo-Michel, Hiram, Kim, Minu, Takagi, Hidenori, Green, Robert J., Hallas, Alannah M.
Publikováno v:
Journal of the American Chemical Society 146, 38, 26048-26059 (2024)
The term sample dependence describes the troublesome tendency of nominally equivalent samples to exhibit different physical properties. High entropy oxides (HEOs) are a class of materials where sample dependence has the potential to be particularly p
Externí odkaz:
http://arxiv.org/abs/2410.21774
Autor:
Xu, Mingyu, Jose, Greeshma C., Rutherford, Aya, Wang, Haozhe, Zhang, Stephen, Cava, Robert J., Zhou, Haidong, Bi, Wenli, Xie, Weiwei
La$_3$Ni$_2$O$_7$ exists in two polymorphs: an unconventional structure with alternating layers of single- and triple-layered nickel-oxygen octahedra, and a classical double-layered Ruddlesden-Popper phase. In this study, we report the growth of sing
Externí odkaz:
http://arxiv.org/abs/2410.18840
The rapid advancement of large language models (LLMs) has highlighted the need for robust evaluation frameworks that assess their core capabilities, such as reasoning, knowledge, and commonsense, leading to the inception of certain widely-used benchm
Externí odkaz:
http://arxiv.org/abs/2410.04795
It is possible for asymmetric dark matter (ADM) to accumulate in neutron star interiors and affect their global properties. Considering the effects of this accumulation, neutron star mass-radius measurements can deliver new insights into the cold den
Externí odkaz:
http://arxiv.org/abs/2410.00140
Autor:
Verdera, Jordina Aviles, Silva, Sara Neves, Tomi-Tricot, Raphael, Hall, Megan, Story, Lisa, Malik, Shaihan J, Hajnal, Joseph V, Rutherford, Mary A, Hutter, Jana
Purpose: To provide real-time quantitative organ-specific information - specifically placental and brain T2* - to allow optimization of the MR examination to the individual patient. Methods: A FIRE-based real-time setup segmenting placenta and fetal
Externí odkaz:
http://arxiv.org/abs/2409.16878
Autor:
Forbes, Anthony, Rutherford, Carrie
A regular-graph design is a block design for which a pair $\{a,b\}$ of distinct points occurs in $\lambda+1$ or $\lambda$ blocks depending on whether $\{a,b\}$ is or is not an edge of a given $\delta$-regular graph. Our paper describes a specific con
Externí odkaz:
http://arxiv.org/abs/2409.10159
Autor:
Xie, Huiyuan, Steffek, Felix, de Faria, Joana Ribeiro, Carter, Christine, Rutherford, Jonathan
This paper explores the intersection of technological innovation and access to justice by developing a benchmark for predicting case outcomes in the UK Employment Tribunal (UKET). To address the challenge of extensive manual annotation, the study emp
Externí odkaz:
http://arxiv.org/abs/2409.08098