Zobrazeno 1 - 10
of 68 642
pro vyhledávání: '"Clifton, A."'
We examine how large language models (LLMs) interpret historical stock returns and compare their forecasts with estimates from a crowd-sourced platform for ranking stocks. While stock returns exhibit short-term reversals, LLM forecasts over-extrapola
Externí odkaz:
http://arxiv.org/abs/2409.11540
Autor:
Saukkoriipi, Mikko, Sahlsten, Jaakko, Jaskari, Joel, Orasmaa, Lotta, Kangas, Jari, Rasouli, Nastaran, Raisamo, Roope, Hirvonen, Jussi, Mehtonen, Helena, Järnstedt, Jorma, Mäkitie, Antti, Naser, Mohamed, Fuller, Clifton, Kann, Benjamin, Kaski, Kimmo
The main treatment modality for oropharyngeal cancer (OPC) is radiotherapy, where accurate segmentation of the primary gross tumor volume (GTVp) is essential. However, accurate GTVp segmentation is challenging due to significant interobserver variabi
Externí odkaz:
http://arxiv.org/abs/2409.06605
Autor:
Smith, Richard, Patel, Avi, Soraisam, Monika D., Guhathakurta, Puragra, Tadepalli, Pranav, Zhu, Sally, Liu, Joseph, Girardi, Léo, Johnson, L. Clifton, Mukherjee, Sagnick, Olsen, Knut A. G., Williams, Benjamin F.
Variable stars in stellar clusters can offer key constraints on stellar evolution and pulsation models, utilising estimates of host cluster properties to constrain stellar physical parameters. We present a catalogue of 86 luminous (F814W<19) variable
Externí odkaz:
http://arxiv.org/abs/2408.12765
Large language models (LLMs) are emerging as promising tools for mental health care, offering scalable support through their ability to generate human-like responses. However, the effectiveness of these models in clinical settings remains unclear. Th
Externí odkaz:
http://arxiv.org/abs/2408.11288
Autor:
Buchanan, Calum, Clifton, Alexander, Culver, Eric, Frankl, Péter, Nie, Jiaxi, Ozeki, Kenta, Rombach, Puck, Yin, Mei
Babai and Frankl posed the ``odd cover problem" of finding the minimum cardinality of a collection of complete bipartite graphs such that every edge of the complete graph of order $n$ is covered an odd number of times. In a previous paper with O'Neil
Externí odkaz:
http://arxiv.org/abs/2408.08598
Autor:
Cunningham, Clifton, Steele, James
In this paper we prove a novel result on two categories that appear in the local Langlands correspondence, for generalized Steinberg representations. Let $G$ be a semisimple reductive group split over a $p$-adic field $F$. The main result of this pap
Externí odkaz:
http://arxiv.org/abs/2408.05103
Utilizing large pre-trained models for specific tasks has yielded impressive results. However, fully fine-tuning these increasingly large models is becoming prohibitively resource-intensive. This has led to a focus on more parameter-efficient transfe
Externí odkaz:
http://arxiv.org/abs/2408.02421
Autor:
Zhou, Rushuang, Liu, Zijun, Clifton, Lei, Clifton, David A., Chan, Kannie W. Y., Zhang, Yuan-Ting, Dong, Yining
Label scarcity problem is the main challenge that hinders the wide application of deep learning systems in automatic cardiovascular diseases (CVDs) detection using electrocardiography (ECG). Tuning pre-trained models alleviates this problem by transf
Externí odkaz:
http://arxiv.org/abs/2406.14377
Autor:
Chauhan, Vinod Kumar, Clifton, Lei, Salaün, Achille, Lu, Huiqi Yvonne, Branson, Kim, Schwab, Patrick, Nigam, Gaurav, Clifton, David A.
While machine learning algorithms hold promise for personalised medicine, their clinical adoption remains limited. One critical factor contributing to this restraint is sample selection bias (SSB) which refers to the study population being less repre
Externí odkaz:
http://arxiv.org/abs/2405.07841
Autor:
Gowda, Shreyank N, Clifton, David A.
The Segment Anything Model (SAM) has achieved remarkable successes in the realm of natural image segmentation, but its deployment in the medical imaging sphere has encountered challenges. Specifically, the model struggles with medical images that fea
Externí odkaz:
http://arxiv.org/abs/2408.00181