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Identification of DNA-Binding Proteins Using Mixed Feature Representation Methods
Molecules, 2017 DNA-binding proteins play vital roles in cellular processes, such as DNA packaging, replication, transcription, regulation, and other DNA-associated activities.
Kaiyang Qu +4 more
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Successor Feature Representations
Trans. Mach. Learn. Res., 2021 published in Transactions on Machine Learning Research (05/2023), source code: https://gitlab.inria.fr/robotlearn/sfr_learning, [v2] added experiments with learned features, [v3] renamed paper and changed scope, [v4] published ...
Reinke, Chris, Alameda-Pineda, Xavier
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A Deep Learning Approach for Robust Detection of Bots in Twitter Using Transformers
IEEE Access, 2021 During the last decades, the volume of multimedia content posted in social networks has grown exponentially and such information is immediately propagated and consumed by a significant number of users.
David Martin-Gutierrez +4 more
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Molecules, 2022 The treatment of complex diseases by using multiple drugs has become popular. However, drug-drug interactions (DDI) may give rise to the risk of unanticipated adverse effects and even unknown toxicity.
Yue-Hua Feng, Shao-Wu Zhang
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A Unified Feature Representation for Lexical Connotations [PDF]
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021 EACL ...
Allaway, Emily, McKeown, Kathleen
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Guided Random Projection: A Lightweight Feature Representation for Image Classification
IEEE Access, 2021 Modern neural networks [e.g., Deep Neural Networks (DNNs)] have recently gained increasing attention for visible image classification tasks. Their success mainly results from capabilities in learning a complex feature mapping of inputs (i.e., feature ...
Shichao Zhou +4 more
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Word Representation With Salient Features [PDF]
IEEE Access, 2019 Inspired from the idea that the contexts in which a word occurs are of different significance, this paper proposes a novel method, called word representation with Salient Features (SaFe), to represent words using salient features selected from the context words.
Ming Zhang +3 more
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Remote Sensing, 2022 Due to the strong speckle noise caused by the seabed reverberation which makes it difficult to extract discriminating and noiseless features of a target, recognition and classification of underwater targets using side-scan sonar (SSS) images is a big ...
Zhen Cheng, Guanying Huo, Haisen Li
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From representations in predictive processing to degrees of representational features
Minds and Machines, 2022 AbstractWhilst the topic of representations is one of the key topics in philosophy of mind, it has only occasionally been noted that representations and representational features may be gradual. Apart from vague allusions, little has been said on what representational gradation amounts to and why it could be explanatorily useful.
Danaja Rutar +2 more
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Applied Sciences, 2022 Ineffective protein feature representation poses problems in protein classification in hierarchical structures. Discrete wavelet transform (DWT) is a feature representation method which generates global and local features based on different wavelet ...
Nor Ashikin Mohamad Kamal +2 more
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