Blar i AURA på forfatter "Lei, Jiao"
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User Grouping and Power Allocation in NOMA Systems : A Reinforcement Learning-Based Solution
Omslandseter, Rebekka Olsson; Lei, Jiao; Liu, Yuanwei; Oommen, John (Lecture Notes in Computer Science; vol. 12144, Chapter; Peer reviewed, 2020) -
User grouping and power allocation in NOMA systems: a novel semi-supervised reinforcement learning-based solution
Omslandseter, Rebekka Olsson; Lei, Jiao; Liu, Yuanwei; Oommen, John (Peer reviewed; Journal article, 2022)In this paper, we present a pioneering solution to the problem of user grouping and power allocation in non-orthogonal multiple access (NOMA) systems. The problem is highly pertinent because NOMA is a well-recognized ... -
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization With Medical Applications
Berge, Geir Thore; Granmo, Ole-Christoffer; Tveit, Tor Oddbjørn; Goodwin, Morten; Lei, Jiao; Matheussen, Bernt Viggo (Journal article; Peer reviewed, 2019) -
Word-level human interpretable scoring mechanism for novel text detection using Tsetlin Machines
Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (Peer reviewed; Journal article, 2022)Recent research in novelty detection focuses mainly on document-level classification, employing deep neural networks (DNN). However, the black-box nature of DNNs makes it difficult to extract an exact explanation of why a ...