Zobrazeno 1 - 10
of 2 721
pro vyhledávání: '"P. Rajapakse"'
Autor:
Pickard, Joshua, Choi, Marc Andrew, Oliven, Natalie, Stansbury, Cooper, Cwycyshyn, Jillian, Galioto, Nicholas, Gorodetsky, Alex, Velasquez, Alvaro, Rajapakse, Indika
We present a prototype for a Bioinformatics Retrieval Augmentation Data (BRAD) digital assistant. BRAD integrates a suite of tools to handle a wide range of bioinformatics tasks, from code execution to online search. We demonstrate BRAD's capabilitie
Externí odkaz:
http://arxiv.org/abs/2409.02864
Autor:
Zhang, Weijia, Huang, Jia-Hong, Vakulenko, Svitlana, Xu, Yumo, Rajapakse, Thilina, Kanoulas, Evangelos
Query-focused summarization (QFS) is a fundamental task in natural language processing with broad applications, including search engines and report generation. However, traditional approaches assume the availability of relevant documents, which may n
Externí odkaz:
http://arxiv.org/abs/2408.10357
Microservices architecture has been established as an ideal software architecture for cloud-based software development and deployment, offering many benefits such as agility and efficiency. Microservices are often associated with containers and conta
Externí odkaz:
http://arxiv.org/abs/2405.12311
Autor:
Pickard, Joshua, Stansbury, Cooper, Surana, Amit, Muir, Lindsey, Bloch, Anthony, Rajapakse, Indika
Biomarkers enable objective monitoring of a given cell or state in a biological system and are widely used in research, biomanufacturing, and clinical practice. However, identifying appropriate biomarkers that are both robustly measurable and capture
Externí odkaz:
http://arxiv.org/abs/2405.09809
Autor:
Chan, Trevor J., Sahni, Aarush, Fang, Yijin, Li, Jie, Luthra, Alisha, Pouch, Alison, Rajapakse, Chamith S.
We introduce SAM3D, a new approach to semi-automatic zero-shot segmentation of 3D images building on the existing Segment Anything Model. We achieve fast and accurate segmentations in 3D images with a four-step strategy involving: user prompting with
Externí odkaz:
http://arxiv.org/abs/2405.06786
Autor:
Chan, Yi Hao, Girish, Deepank, Gupta, Sukrit, Xia, Jing, Kasi, Chockalingam, He, Yinan, Wang, Conghao, Rajapakse, Jagath C.
Graph neural networks (GNN) have emerged as a popular tool for modelling functional magnetic resonance imaging (fMRI) datasets. Many recent studies have reported significant improvements in disorder classification performance via more sophisticated G
Externí odkaz:
http://arxiv.org/abs/2405.00577
Autor:
Chan, Trevor J., Rajapakse, Chamith S.
Deep learning methods for accelerated MRI achieve state-of-the-art results but largely ignore additional speedups possible with noncartesian sampling trajectories. To address this gap, we created a generative diffusion model-based reconstruction algo
Externí odkaz:
http://arxiv.org/abs/2404.12361
In this paper we consider aspects of geometric observability for hypergraphs, extending our earlier work from the uniform to the nonuniform case. Hypergraphs, a generalization of graphs, allow hyperedges to connect multiple nodes and unambiguously re
Externí odkaz:
http://arxiv.org/abs/2404.07480
Autor:
P. Senarathne, T. Athapattu, P. Rajapakse, U. Karunadasa, M. Fuward, M. Thilakarathne, T. Herath, D. Muthusinghe, K Yoshimatsu, N Koizumi, C. D. Gamage
Publikováno v:
Sri Lankan Journal of Infectious Diseases, Vol 11, Iss 0 (2021)
NA
Externí odkaz:
https://doaj.org/article/1369cd92bb3e46c5af92933f62307cfe
Autor:
Strynar, C., Rajapakse, R. M.
Some of the most impressive achievements of contemporary Machine Learning systems comes from the GAN (Generative Adversarial Network) structure. DALLE-2 and GPT- 3, two of the most impressive and recognizable feats of ML in recent years, were both tr
Externí odkaz:
http://arxiv.org/abs/2310.19117