Results 1 to 10 of about 26,173,429 (328)
Matching patients to clinical trials with large language models [PDF]
Nature Communications, 2023 Patient recruitment is challenging for clinical trials. We introduce TrialGPT, an end-to-end framework for zero-shot patient-to-trial matching with large language models.
Qiao Jin +9 more
doaj +2 more sources
Carbon Neutrality, 2022 With the widespread popularity of carbon neutrality, the decarbonization approach using carbon capture, utilization, and storage (CCUS) has grown from a low-carbon utilization technology to an indispensable technology for the entire global carbon-neutral
Xian Zhang +4 more
semanticscholar +3 more sources
PATTERN MATCHING IN MODELS [PDF]
Annals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics, 2005 The goal of this paper is to investigate how such a pattern matching could be performed on models,including the definition of the input language as well as the elaboration of efficient matchingalgorithms.
Cristian GEORGESCU
doaj +1 more source
FINE-TUNING DEEP LEARNING MODELS FOR STEREO MATCHING USING RESULTS FROM SEMI-GLOBAL MATCHING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Deep learning (DL) methods are widely investigated for stereo image matching tasks due to their reported high accuracies. However, their transferability/generalization capabilities are limited by the instances seen in the training data.
H. Albanwan +5 more
doaj +1 more source
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models [PDF]
arXiv.org, 2022 —MRI and CT are most widely used medical imaging modalities. It is often necessary to acquire multi-modality images for diagnosis and treatment such as radiotherapy planning.
Qing Lyu, Ge Wang
semanticscholar +1 more source
Pose-invariant matching for non-rigid 3D models using Isomap.
PLoS ONE, 2022 The wide usage of 3D mesh models greatly increases the importance of an effective matching algorithm for them. In this paper, we propose a novel 3D model matching algorithm.
Hairong Jin +6 more
doaj +2 more sources
MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale [PDF]
Conference on Empirical Methods in Natural Language Processing, 2020 We study the zero-shot transfer capabilities of text matching models on a massive scale, by self-supervised training on 140 source domains from community question answering forums in English.
Andreas Rücklé +2 more
semanticscholar +1 more source
A Study of Neural Matching Models for Cross-lingual IR [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 In this study, we investigate interaction-based neural matching models for ad-hoc cross-lingual information retrieval (CLIR) using cross-lingual word embeddings (CLWEs).
Puxuan Yu, J. Allan
semanticscholar +1 more source
Stochastic non-bipartite matching models and order-independent loss queues [PDF]
Stochastic Models, 2020 The problem of appropriately matching items subject to compatibility constraints arises in a number of important applications. While most of the literature on matching theory focuses on a static setting with a fixed number of items, several recent works ...
Céline Comte
semanticscholar +1 more source