با توجه به رشد بالای جمعیت در جهان و نیاز اطمینان از امنیت غذایی، افزایش تولید واحد سطح محصولات زراعی به‌منزلة راهبردی اساسی حل مسئلة تأمین غذا به‌شمار می‌رود. سوی دیگر، وجود محدودیت زیرکشت پایین‌بودن میانگین عملکرد برخی کشاورزی مانند گندم کشور، محصول می‌تواند راهکاری عملی پاسخ کشور محسوب شود. یکی مهم‌ترین بیماری‌های فوزاریوم است که، نقش پیش‌بینی این بیماری جلوگیری کاهش بهره‌وری محصول، مدل‌هایی...

Spatial downsampling layers are favored in convolutional neural networks (CNNs) to downscale feature maps for larger receptive fields and less memory consumption. However, visual recognition tasks, these might lose discriminative details due improper pooling strategies. In this paper, we present a unified framework (LAN) over the common (e.g., average pooling, max strided convolution) from view...

Recently, Graph Neural Networks (GNNs) have emerged as a powerful technique for various graph-related tasks. Current GNN models apply different graph pooling methods that reduce the number of nodes and edges to learn higher-order structure in hierarchical way. However, these primarily rely on one-hop neighborhood do not consider graph. To address this issue, work, we propose multi-channel Motif...

Recent years have seen enormous gains in core information retrieval tasks, including document and passage ranking. Datasets leaderboards, particular the MS MARCO datasets, illustrate dramatic improvements achieved by modern neural rankers. When compared with traditional test collections, such as those developed TREC, datasets employ substantially more queries—thousands vs. dozens – fewer known ...

Applications of unsupervised learning techniques to action recognition have proved highly competitive in comparison to supervised and hand-crafted approaches, despite not being designed to handle image processing problems. Many of these techniques are either based on biological models of cognition or have responses that correlate to those observed in biological systems. In this study we apply (...

Probably one of the reasons the paper was awarded the best paper award is the social implication and the practical applicability that the technology described in the paper has. It is not so often that you come across papers in computer science that have such a broad social implication. As the authors argue, even a partial solution to the problem that the paper attempts to solve would have a bro...