Pre‐Training of Equivariant Graph Matching Networks with Conformation Flexibility for Drug Binding
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Science"
DOI: 10.1002/advs.202203796
Abstract: The latest biological findings observe that the motionless “lock‐and‐key” theory is not generally applicable and that changes in atomic sites and binding pose can provide important information for understanding drug binding. However, the computational expenditure… read more here.
Keywords: equivariant graph; graph matching; matching networks; drug binding ... See more keywords
Finding a good initial configuration of parameters for restricted Boltzmann machine pre-training
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2205-z
Abstract: Restricted Boltzmann machines (RBMs) have been successfully applied in unsupervised learning and image density-based modeling. The aim of the pre-training step for RBMs is to discover an unknown stationary distribution based on the sample data… read more here.
Keywords: good initial; restricted boltzmann; pre training; pre ... See more keywords
An Experimental Study on Exploring Strong Lightweight Vision Transformers via Masked Image Modeling Pre-training
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-024-02327-w
Abstract: Masked image modeling (MIM) pre-training for large-scale vision transformers (ViTs) has enabled promising downstream performance on top of the learned self-supervised ViT features. In this paper, we question if the extremely simple lightweight ViTs’ fine-tuning… read more here.
Keywords: image modeling; vision; masked image; usepackage ... See more keywords
Pre-training for Action Recognition with Automatically Generated Fractal Datasets
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Computer Vision"
DOI: 10.1007/s11263-025-02420-8
Abstract: In recent years, interest in synthetic data has grown, particularly in the context of pre-training the image modality to support a range of computer vision tasks, including object classification, medical imaging etc. Previous work has… read more here.
Keywords: action recognition; recognition automatically; pre training; training action ... See more keywords
SAM-driven MAE pre-training and background-aware meta-learning for unsupervised vehicle re-identification
Sign Up to like & getrecommendations! Published in 2024 at "Computational Visual Media"
DOI: 10.1007/s41095-024-0424-2
Abstract: Distinguishing identity-unrelated background information from discriminative identity information poses a challenge in unsupervised vehicle re-identification (Re-ID). Re-ID models suffer from varying degrees of background interference caused by continuous scene variations. The recently proposed segment anything… read more here.
Keywords: unsupervised vehicle; vehicle; mae pre; sam driven ... See more keywords
Multimodal image encoding pre-training for diabetic retinopathy grading
Sign Up to like & getrecommendations! Published in 2022 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2022.105302
Abstract: Diabetic retinopathy is an increasingly prevalent eye disorder that can lead to severe vision impairment. The severity grading of the disease using retinal images is key to provide an adequate treatment. However, in order to… read more here.
Keywords: grading diabetic; image; pre training; diabetic retinopathy ... See more keywords
Subset selection for domain adaptive pre-training of language model
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-94085-z
Abstract: Pre-trained language models have brought significant performance improvements in many natural language understanding tasks. Domain-adaptive language models, which are trained with a specific domain corpus, exhibit high performance in their target domains. However, pre-training these… read more here.
Keywords: language; pre training; domain adaptive;
Self-supervised VICReg pre-training for Brugada ECG detection
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-94130-x
Abstract: Existing deep learning algorithms for electrocardiogram (ECG) classification rely on supervised training approaches requiring large volumes of reliably labeled data. This limits their applicability to rare cardiac diseases like Brugada syndrome (BrS), often lacking accurately… read more here.
Keywords: self supervised; training; brugada; pre training ... See more keywords
Data-driven strength and conditioning, and technical training programs for goalkeeper's diving save in football.
Sign Up to like & getrecommendations! Published in 2022 at "Sports biomechanics"
DOI: 10.1080/14763141.2022.2099966
Abstract: The goal of this study was to evaluate the technical and physical adaptations to a data-driven 12-weeks training programs that incorporated recent findings from biomechanical studies on the diving save. Three-dimensional kinematics and kinetics were… read more here.
Keywords: training programs; diving save; post training; training ... See more keywords
JiuZhou: open foundation language models and effective pre-training framework for geoscience
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Digital Earth"
DOI: 10.1080/17538947.2025.2449708
Abstract: ABSTRACT Geoscience research has generated vast amounts of data, creating a need for effective extraction and integration of knowledge to address global-change challenges, promote sustainable development, and accelerate scientific discovery. Foundation language models, trained through… read more here.
Keywords: geoscience; jiuzhou; language; language models ... See more keywords
Introducing pre-training workshop sessions to enhance learning in multidisciplinary environments: a case study in computer-aided engineering and design
Sign Up to like & getrecommendations! Published in 2024 at "Cogent Education"
DOI: 10.1080/2331186x.2024.2367896
Abstract: Abstract Technological advancements are pushing new simulation and analytical tools, driving the research fields in design forward. In this environment, for introducing new modeling, simulation, and analytic tools, the pre-training aspect becomes important, presenting the… read more here.
Keywords: workshop; enhance learning; computer aided; pre training ... See more keywords