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Published in 2018 at "Academic pediatrics"
DOI: 10.1016/j.acap.2017.11.002
Abstract: OBJECTIVE To evaluate the effects of simple and elaborated health care provider (HCP) reminder prompts on human papillomavirus (HPV) vaccine initiation rates. METHODS Twenty-nine pediatric HCPs serving 5 pediatric clinics were randomized to 1 of…
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Keywords:
prompt;
hpv vaccine;
simple elaborated;
arm ... See more keywords
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Published in 2024 at "Journal of Chemical Education"
DOI: 10.1021/acs.jchemed.4c00258
Abstract: One key limitation for assessing student knowledge of green chemistry is the lack of readily available assessments capable of eliciting reliable and valid data. Therefore, in this study we sought to evaluate the ability of…
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Keywords:
chemistry;
prompt;
student conceptions;
green chemistry ... See more keywords
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1
Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3213027
Abstract: Prompt-based learning is a method used for language models to interpret natural language by remembering the prior knowledge acquired and the training objective. Recent prompt-based few-shot learners have achieved superior performance by alleviating the catastrophic…
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Keywords:
korean prompt;
prompt;
language;
prompt based ... See more keywords
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Published in 2025 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2025.3606959
Abstract: Salient object detection in optical remote sensing images (ORSI-SOD) is challenging due to complex backgrounds and subtle boundary cues. While prior methods often introduce edge-guided supervision or auxiliary branches to refine boundaries, they commonly suffer…
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Keywords:
task;
object detection;
prompt;
salient object ... See more keywords
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Published in 2024 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2024.3420083
Abstract: Recently, textual prompt tuning has shown inspirational performance in adapting Contrastive Language-Image Pre-training (CLIP) models to natural image quality assessment. However, such uni-modal prompt learning method only tunes the language branch of CLIP models. This…
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Keywords:
quality;
image;
consistency;
prompt ... See more keywords
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Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3558116
Abstract: Prompt-tuning has shown remarkable success in multi-modal visual tracking, which enhances RGB tracking by incorporating an additional modality, e.g., thermal infrared (T), Depth (D), or Event (E), forming an RGB+X tracking paradigm. However, in the…
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Keywords:
m3track meta;
prompt;
multi modal;
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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2024.3509721
Abstract: Remote-sensing fine-grained ship classification (RS-FGSC) poses a significant challenge due to the high similarity between classes and the limited availability of labeled data, limiting the effectiveness of traditional supervised classification methods. Recent advancements in large…
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Keywords:
classification;
fine grained;
prompt;
grained ship ... See more keywords
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Published in 2025 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2024.3521785
Abstract: Pre-trained vision-language models (VLMs), equipped with parameter-efficient tuning (PET) methods like prompting, have shown impressive knowledge transferability on new downstream tasks, but they are still prone to be limited by catastrophic forgetting and overfitting dilemma…
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Keywords:
attention;
prompt;
vision;
language ... See more keywords
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Published in 2025 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2025.3621336
Abstract: Weakly supervised video anomaly detection (WSVAD) aims at predicting frame-level anomaly scores by modeling training videos with video-level annotations. The category names of abnormal events contain high-level knowledge abstracted by humans about abnormalities, which is…
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Keywords:
prompt;
abnormal prompt;
language;
learnable abnormal ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"
DOI: 10.1109/tvcg.2022.3209479
Abstract: State-of-the-art neural language models can now be used to solve ad-hoc language tasks through zero-shot prompting without the need for supervised training. This approach has gained popularity in recent years, and researchers have demonstrated prompts…
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Keywords:
hoc;
visual prompt;
prompt;
interactive visual ... See more keywords
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Published in 2017 at "European Physical Journal C"
DOI: 10.1140/epjc/s10052-017-4781-1
Abstract: The nuclear modification factor and the azimuthal anisotropy coefficient of prompt and nonprompt (i.e. those from decays of b hadrons) mesons, measured from PbPb and pp collisions at at the LHC, are reported. The results…
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Keywords:
prompt;
prompt nonprompt;
suppression;
azimuthal anisotropy ... See more keywords