Results 51 to 60 of about 33,665 (246)
Deriving a Representative Vector for Ontology Classes with Instance Word Vector Embeddings
, 2017 Selecting a representative vector for a set of vectors is a very common requirement in many algorithmic tasks. Traditionally, the mean or median vector is selected.
Ayesha, Buddhi +5 more
core +1 more source
Advanced Science, EarlyView.Renal fibrosis, a hallmark of CKD, lacks effective treatments. Herein, we developed a multimodal AI model (TCM‐SPred) to identify anti‐fibrotic agents and found that dehydrocostus lactone (DCL) targets IQGAP1 to inhibit Wnt signaling, blocking the interaction between IQGAP1 and CCT3, demonstrating potent anti‐fibrotic activity in vitro and in vivo ...
Weijiang Lin +12 more
wiley +1 more source
Automatic classification method of coal mine safety hidden danger informatio
Gong-kuang zidonghua, 2018 Manual classification method is difficult to meet classification requirements of massive coal mine safety hidden danger information, and automatic text classification method based on probability statistics has low classification accuracy rate. In view of
XIE Binhong +3 more
doaj +1 more source
DAWE: A Double Attention-Based Word Embedding Model with Sememe Structure Information
Applied Sciences, 2020 Word embedding is an important reference for natural language processing tasks, which can generate distribution presentations of words based on many text data.
Shengwen Li +5 more
doaj +1 more source
Sentiment Analysis of Twitter Data for Predicting Stock Market Movements
, 2016 Predicting stock market movements is a well-known problem of interest. Now-a-days social media is perfectly representing the public sentiment and opinion about current events.
Challa, Kamal Nayan Reddy +3 more
core +1 more source
Harnessing Generative AI for Sustainable Supply Chains: Lean, Circular and Green Perspectives
Business Strategy and the Environment, EarlyView.ABSTRACT Generative artificial intelligence is playing a significant role in the transformation of digital ecosystems by reinventing the processes of content generation, process automation, product innovation and customer experience. At the same time that these technologies are becoming more integrated into routine operations, the focus has shifted to ...
Ashutosh Singh +3 more
wiley +1 more source
Facial expression recognition for emotion perception: A comprehensive science mapping
Ibrain, EarlyView.Facial expression recognition (FER) has emerged as a pivotal interdisciplinary research domain, bridging computer science, psychology, neuroscience, and medicine. By mapping the FER scientific knowledge graph, the study aimed to explore the technological evolution and forecast future application trends in this field.
Hou‐Ming Kan +10 more
wiley +1 more source
Complaint Classification using Word2Vec Model
International Journal of Engineering & Technology, 2018 Attempt has been made to develop a versatile, universal complaint grievance segregator by classifying orally acknowledged grievancesinto one of the predefined categories. The oral complaints are first converted to text and then each word is represented by a vector usingword2vec.
Mohit Rathore +2 more
openaire +2 more sources
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
, 2016 Zero-shot learning (ZSL) methods have been studied in the unrealistic setting where test data are assumed to come from unseen classes only. In this paper, we advocate studying the problem of generalized zero-shot learning (GZSL) where the test data's ...
Changpinyo, Soravit +3 more
core +1 more source
Generating Compressed Counterfactual Hard Negative Samples for Graph Contrastive Learning
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Graph contrastive learning (GCL) relies on acquiring high‐quality positive and negative samples to learn the structural semantics of the input graph. Previous approaches typically sampled negative samples from the same training batch or an irrelevant external graph.
Haoran Yang +7 more
wiley +1 more source