Source: Machine Heart Editorial Team Why do tree-based machine learning methods, such as XGBoost and Random Forest, outperform deep learning on tabular data?This article provides the reasons behind this phenomenon. They selected 45 open datasets and defined a new benchmark to compare tree-based models and deep models, summarizing three reasons to explainthis phenomenon. Deep learning … Read more
Introduction Immunotherapy is used to treat almost all patients with advanced non-small cell lung cancer (NSCLC); however, identifying robust predictive biomarkers remains challenging. Here, the authors demonstrate the ability to integrate medical imaging, histopathology, and genomic features to predict immunotherapy response, using a cohort of 247 patients with advanced NSCLC who obtained multimodal baseline data … Read more
Follow the official account “ML_NLP“ Set as “Starred“, delivering heavy content promptly! Introduction With the rapid development of social networks, the ways people express themselves on platforms have become increasingly rich, such as expressing emotions and opinions through images, text, and videos. Analyzing the emotions in multimodal data (this article refers to sound, images, and … Read more
Education and Teaching Application Of Multimodal Artificial Intelligence In Nursing Education Peng Wenli, Cheng Xinhua, Zhang Xian (Chongqing University of Humanities, Science and Technology, School of Nursing) Abstract: With the continuous advancement of technology and the rapid development of artificial intelligence, the application of multimodal artificial intelligence in nursing education has become a trend. The … Read more
This article summarizes the main content from the TPAMI review literature, and the author adds the latest papers and analyses related to this field. Paper: Multimodal Machine Learning: A Survey and Taxonomy Humans interact with the world through various sensory organs, such as eyes, ears, and touch. Multimodal Machine Learning (MML) studies machine learning problems … Read more
Introduction The artificial intelligence industry is like a giant ship sailing through the waves, heading towards a new blue ocean of the intelligent era at an unprecedented speed. Its development trends and prospects are vibrant and hopeful, not only triggering revolutionary changes in the technology sector but also deeply penetrating various industries, empowering industrial upgrades … Read more
Click on the "Xiao Bai Learns Vision" above, select to add a "star" or "top". Important content delivered to you first. Guide to Extreme City This article reviews four papers on achieving multi-task unification in data or model structure, introducing the research direction of incorporating multiple types of data in the optimization of multimodal models. … Read more
It has been a whole year since the emergence of ChatGPT, GPT-4, and other innovations that sparked a new wave of transformation in artificial intelligence. During this year, numerous companies both domestically and internationally have entered the “arena” of large models, accelerating the iteration and leap of large model technologies. The unprecedented capability of large … Read more
Source丨Heart of Autonomous Driving Editor丨Deep Blue Academy What is Multimodal 3D Object Detection? Multimodal 3D object detection is one of the current research hotspots in 3D object detection, mainly referring to the use of cross-modal data to improve the detection accuracy of the model. Generally speaking, multimodal data includes: image data, LiDAR data, millimeter-wave radar … Read more
Author / Li Xi 0 Introduction This article organizes previous research on multimodal visual structure learning from a new perspective, focusing on the characteristics and applications of spherical panoramic images. Spherical images are mostly related to fisheye or 360° panoramic views, containing a wealth of structural knowledge, primarily aimed at applications such as autonomous driving, … Read more