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Xuanyu Zhang, Hao Zhou, Ke Yu, Xiaofei Wu and Anis Yazidi
In Natural Language Processing (NLP), deep-learning neural networks have superior performance but pose transparency and explainability barriers, due to their black box nature, and, thus, there is lack of trustworthiness. On the other hand, classical mach...
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Rohan Kumar Yadav and Dragos Constantin Nicolae
Explainability is one of the key factors in Natural Language Processing (NLP) specially for legal documents, medical diagnosis, and clinical text. Attention mechanism has been a popular choice for such explainability recently by estimating the relative i...
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Jie Lei, Tousif Rahman, Rishad Shafik, Adrian Wheeldon, Alex Yakovlev, Ole-Christoffer Granmo, Fahim Kawsar and Akhil Mathur
The emergence of artificial intelligence (AI) driven keyword spotting (KWS) technologies has revolutionized human to machine interaction. Yet, the challenge of end-to-end energy efficiency, memory footprint and system complexity of current neural network...
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Igor D. Diankin,Denis S. Kudryavtsev,Arthur O. Zalevsky,Victor I. Tsetlin,Andrey V. Golovin
Pág. 73 - 77
SLURP-1 is a member of three-finger toxin-like proteins. Their characteristic feature is a set of three beta strands extruding from hydrophobic core stabilized by disulfide bonds. Each beta-strand carries a flexible loop, which is responsible for r...
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Ilia Tsetlin andRobert L. Winkler
Pág. 602 - 605
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Ilia Tsetlin and Robert L. Winkler
Pág. 1942 - 1952
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Wenjie Tang, J. Neil Bearden, and Ilia Tsetlin
Pág. 1423 - 1437
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Aleksandar Sasa Pekec and Ilia Tsetlin
Pág. 1610 - 1623
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Tsetlin, Ilia, Winkler, Robert L
Pág. 1336 - 1345
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Gaba, A. Tsetlin, I. Winkler, R. L.
Pág. 384 - 395
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