Partial Multi-Label Learning via Label-Specific Feature Corrections

Information Science, Computer Science, Artificial Intelligence,
partial multi-label learning   label-specific features   feature corrections   multi-label learning   machine learning   meta-learning   weak supervision  

Frontier Research in Partial Multi-Label Learning: A New Method Based on Label-Specific Feature Corrections In recent years, partial multi-label learning (PML) has become a hot research topic in the field of machine learning. With the rise of crowdsourcing platforms, the cost of data annotation has dropped significantly, but the quality of annotati...

Artificial Intelligence and Terrestrial Point Clouds for Forest Monitoring

Engineering, Environmental Engineering, Information Science, Computer Science, Artificial Intelligence, Life Sciences, Botany,
deep learning   machine learning   forest inventory   tree characteristics   open data   precision forestry   lidar  

Artificial Intelligence and Terrestrial LiDAR Point Clouds in Forest Monitoring: Academic Report Academic Background With the increasing importance of global climate change and forest resource management, precision forestry has become a key direction in modern forest management. Precision forestry relies on high-precision forest data collection and...

AutoStory: Generating Diverse Storytelling Images with Minimal Human Efforts

AutoStory: Generating Diverse Storytelling Images with Minimal Human Efforts

Information Science, Computer Science, Artificial Intelligence,
story visualization   generative models   machine learning   diffusion models   low-rank adaptation   image generation   text-to-image  

Academic Background and Problem Statement Story Visualization is a task aimed at generating a series of visually consistent images from a story described in text. This task requires the generated images to be of high quality, aligned with the text description, and consistent in character identities across different images. Despite its wide range of...

SIRCLE Model Reveals Mechanisms of Phenotype Regulation in Renal Cancer

Medicine, Urology, Nephrology, Oncology,
multi-omics integration   phenotype regulation   machine learning   variational autoencoder   clear cell renal cell carcinoma   pancan   metabolism  

Executive Report on the Study of ccRCC Regulatory Mechanisms Using the SIRCLE Model Background Overview Clear Cell Renal Cell Carcinoma (ccRCC) is the most prevalent form of kidney cancer, accounting for 70% of renal malignancies. The development and progression of ccRCC involve intricate remodeling of the kidney epigenome, transcriptome, proteome,...

Spatio-Temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
smart grids   false data injection attacks   adversarial attacks   spatio-temporal graphs   graph neural networks   machine learning   cybersecurity  

Title: Generating and Detecting Spatio-Temporal Graph-Based Adversarial False Data Injection Evasion Attacks in Smart Grids Background With the continuous development of modern smart grids, the grid, as a typical Cyber-Physical System (CPS), faces numerous security threats due to the extensive exchange of data between its components. Among these, F...