Sub-seasonal climate forecasting via machine learning: challenges, analysis, and advances. Proc. AAAI Conf. Artif. Intell. 35, 169–177 (2021). Google Scholar Kiefer, S. M., Lerch, S., Ludwig, P. & Pinto, J. G. Can machine learning models be a suitable tool for predicting central...
When images are sub-sampled by a factor of eight in each dimension or images overlap change to 60%, the MI functions have gone to bad, worse yet, the optimum has spread and moved. In contrast, the GCMI functions are generally unchanged and the optimum does not shift. These examples ...
and biological theory alone cannot explain where, when and how species invade20. The field of invasion biology has made great progress in better understanding the roles of habitat or species characteristics that affect invasion success21,22,23,24,25but less attention has been given ...
Despite the attention AMR has received at the global level, the implementation and funding of national action plans4 has been uneven, leading to uncertain progress in attenuating the burden of AMR.1 The Review on Antimicrobial Resistance1 acknowledged its broad brush estimates would be strengthened ...
The multi-head self-attention mechanism divides a node feature vector into multiple sub-vectors (heads) and projects each sub-vector onto Query, Key, and Value features by linear transformations. For example, suppose a node feature dimension is h1×d, and the number of the head is k. Then...
disturbances, such as filamentous microbes associated with foam formation, or taxa associated with the degradation of special sub- strates found in, e.g., industrial waste. We recently introduced and applied the following core and CRAT definitions in our survey of the global microbiota of ...
There are several good arguments that non-SOTA results can also provide valuable contributions and should receive more attention. For example, models that do not improve on SOTA performance metrics might have other benefits, such as better interpretability, lower resource need, lower bias or higher ...
1, the attention between each channel is also very different. Thinking one step deeper, not only are there negative influences between the foreground and the background, but also between the pixels and the channels. Therefore, we propose focal distil- lation. While separating the fore...
xh is firstly up-sampled to the same channels and dimensions of the weighted low-level feature map xl by 1 × 1 convolution and bilinear interpolation [30]. We named it xh′∈RC×H×W. Then xh′ is fed into the spatial-guided attention block. Next, we reshape xh′ to xh″∈RWH×...
(downward) the global estuarine CO2budget, but also drew attention to the large contribution of fjords to the total estuarine area, which were typically under-sampled and under-represented in global biogeochemical budgets (Laruelle et al.2010; Cai2011; Borges and Abril,2012; Regnier et al.2022)...