Tag: transfer learning

Researchers have built ProteinTalks, an AI virtual cell model trained on more than 38 million time-resolved protein measurements from perturbed ...

A matched-budget study of LoRA fine-tuning finds that genetic algorithms and other search optimizers offer no consistent advantage over well-tuned ...

Researchers in Shanghai have developed a transfer-learning framework that denoises air quality data, optimizes a deep reservoir network, and adapts ...

A multimodal deep learning model combining histopathological images with clinical data achieved 97.17 percent accuracy in stratifying colorectal cancer patients ...

A new spiral-based transformation converts time series into images that let pretrained vision models outperform specialized anomaly detectors across 23 ...

Researchers in India have built a multimodal deep learning framework that fuses text, images and browsing behavior to classify dark ...

Chinese researchers have unveiled a lightweight hierarchical deep learning framework that matches or beats state-of-the-art cross-domain few-shot learning methods while ...

A new Cluster Computing study using public Alibaba cluster traces finds that simple linear regression often matches or beats deep ...

Researchers have developed a domain-adversarial deep learning method that captures contextual code semantics and aligns data distributions across projects, improving ...

Researchers at The Ohio State University used Google's Teachable Machine to build an image-based classifier that may help distinguish true ...