Zobrazeno 1 - 10
of 64 632
pro vyhledávání: '"A. Constantine"'
Publikováno v:
International Journal of Cardiology Congenital Heart Disease, Vol 18, Iss , Pp 100548- (2024)
Background: Adults with congenital heart disease (ACHD) have an increased risk of infective endocarditis (IE), associated with significant morbidity and mortality. This risk is compounded by patient-related factors, including lack of awareness of IE
Externí odkaz:
https://doaj.org/article/36f8a0b2d66642ca8f925383759bcce6
We present OpenNER 1.0, a standardized collection of openly available named entity recognition (NER) datasets. OpenNER contains 34 datasets spanning 51 languages, annotated in varying named entity ontologies. We correct annotation format issues, stan
Externí odkaz:
http://arxiv.org/abs/2412.09587
Embeddings play a pivotal role across various disciplines, offering compact representations of complex data structures. Randomized methods like Johnson-Lindenstrauss (JL) provide state-of-the-art and essentially unimprovable theoretical guarantees fo
Externí odkaz:
http://arxiv.org/abs/2412.07242
Autor:
Phan, Trung V., Li, Shengkai, Howe, Benjamin, Amend, Sarah R., Pienta, Kenneth J., Brown, Joel S., Gatenby, Robert A., Frangakis, Constantine, Austin, Robert H., Keverkidis, Ioannis G.
With the oncologist acting as the ``game leader'', we employ a Stackelberg game-theoretic model involving multiple populations to study prostate cancer. We refine the drug dosing schedule using an empirical Bayes feed-forward analysis, based on clini
Externí odkaz:
http://arxiv.org/abs/2410.16005
Autor:
Rout, Litu, Chen, Yujia, Ruiz, Nataniel, Caramanis, Constantine, Shakkottai, Sanjay, Chu, Wen-Sheng
Generative models transform random noise into images; their inversion aims to transform images back to structured noise for recovery and editing. This paper addresses two key tasks: (i) inversion and (ii) editing of a real image using stochastic equi
Externí odkaz:
http://arxiv.org/abs/2410.10792
We extend a result of Lopes and Thieullen on sub-actions for smooth Anosov flows to the setting of geodesic flow on locally CAT(-1) spaces. This allows us to use arguments originally due to Croke and Dairbekov to prove a volume rigidity theorem for s
Externí odkaz:
http://arxiv.org/abs/2410.00642
Patch-Based Contrastive Learning and Memory Consolidation for Online Unsupervised Continual Learning
We focus on a relatively unexplored learning paradigm known as {\em Online Unsupervised Continual Learning} (O-UCL), where an agent receives a non-stationary, unlabeled data stream and progressively learns to identify an increasing number of classes.
Externí odkaz:
http://arxiv.org/abs/2409.16391
Autor:
Phillips, Robert, Zakkaroff, Constantine, Dittmer, Keren, Robillard, Nicholas, Baer, Kenzie, Butler, Anthony
This work presents a proof-of-concept solution designed to improve the accuracy of radiographic feature characterisation in pre-surgical CT/MR volumes. The solution involves 3D co-location of 2D digital histology slides within ex-vivo, tumour tissue
Externí odkaz:
http://arxiv.org/abs/2409.13217
Autor:
Hu, Jin, Sever, Emrah, Babazadeh, Omid, Jeffrey, Ian, Okhmatovski, Vladimir, Sideris, Constantine
An H-matrix accelerated direct solver employing the high-order Chebyshev-based Boundary Integral Equation (CBIE) method has been formulated, tested, and profiled for performance on high contrast dielectric materials and electrically large perfect ele
Externí odkaz:
http://arxiv.org/abs/2408.17116
Combining Deep-UV second harmonic generation spectroscopy with molecular simulations, we confirm and quantify the specific adsorption of guanidinium cations to the air-water interface. Using a Langmuir analysis and measurements at multiple concentrat
Externí odkaz:
http://arxiv.org/abs/2408.15423