Multimodality is the most general form for information representation and delivery in a real world. Using multimodal data is natural for humans to make accurate perceptions and decisions. Our digital world is actually multimodal, combining various data modalities, such as text, audio, images, videos,...
We built each tree using a bootstrapped version of the original dataset (i.e., replacing the original data and resampling). We obtained the first output using majority voting from all trees in the forest. Next, each tree cast a vote for the query sample (in this case, a female ...
1(b)). In order to reduce the gaps between rendered and real data, we aim at defining a novel approach generating synthetic DSMs with the same limitations of real ones, as for the DSM reported in Fig. 1(c), which more closely resembles the level of detail in Fig. 1(b) with ...
2010. Multimodal mate assessment by male praying mantids in a sexually cannibalistic mating system. Anim. Behav. 79: 1165Ð1172.Barry KL, Holwell GI, Herberstein ME (2010) Multimodal mate assessment by male praying mantids in a sexually cannibalistic mating system. Animal Behav 79(5):1165-...
Despite progress in immunotherapy, identifying patients that respond has remained a challenge. Through analysis of whole-exome and targeted sequence data from 5,449 tumors, we found a significant correlation between tumor mutation burden (TMB) and tumor purity, suggesting that low tumor purity tumors...
Recent technological advancements in data acquisition tools allowed neuroscientists to acquire different modality data to diagnosis Alzheimer’s disease (AD). However, how to fuse these enormous amount different modality data to improve recognizing rate
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward
Gouty arthritis is a chronic and progressive disease characterized by high urate levels in the joints and by an inflammatory immune microenvironment. Clinical data indicate that urate reduction therapy or anti-inflammatory therapy alone often fails to deliver satisfactory outcomes. Here we have developed...
We develop the first specialized MRPA,MMRole-Agent, using the training data ofMMRole-Data. Extensive evaluation results demonstrate the improved performance ofMMRole-Agent, and highlight the primary challenges in developing MRPAs, emphasizing the need for enhanced multimodal understanding and role-playi...
Paper tables with annotated results for A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data