Browsing Scientific Publications in Information and Communication Technology by Author "Lei, Jiao"
Now showing items 21-35 of 35
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A multi-step finite-state automaton for arbitrarily deterministic Tsetlin Machine learning
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Shafik, Rishad; Lei, Jiao; Wheeldon, Adrian; Yakovlev, Alex; Lei, Jie; Goodwin, Morten (Peer reviewed; Journal article, 2021) -
Network Slicing Enabled Resource Management for Service-Oriented Ultra-Reliable and Low-Latency Vehicular Networks
Chen, Yuanbin; Wang, Ying; Liu, Man; Zhang, Jiayi; Lei, Jiao (Peer reviewed; Journal article, 2020) -
Neuroevolution of Actively Controlled Virtual Characters - An Experiment for an Eight-Legged Character
Albrigstsen, Svein Inge; Imenes, Alexander; Goodwin, Morten; Lei, Jiao; Nunavath, Vimala (Chapter; Peer reviewed, 2018) -
Optimization channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach
Lei, Jiao; Zhang, Xuan; Oommen, John; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2015) -
Performance analysis of underlay two-way relay cooperation in cognitive radio networks with energy harvesting
Zeng, Fanzi; Xu, Jisheng; Li, Yongfeng; Li, Kang; Lei, Jiao (Journal article; Peer reviewed, 2018) -
Performance analysis of user-centric SBS deployment with load balancing in heterogeneous cellular networks : A Thomas cluster process approach
Ullah, Arif; Haq, Abbas; Abbas, Ghulam; Muhammad, Fazal; Lei, Jiao (Journal article; Peer reviewed, 2020) -
Performance comparison of residual related algorithms for ToA positioning in wireless terrestrial and sensor networks
Lei, Jiao; Jianping, Xing; Li, Frank Yong (Chapter; Peer reviewed, 2009)Time of Arrival (ToA) is a popular technique for terrestrial positioning. This paper presents a comparison of ToA based residual related positioning algorithms in wireless terrestrial and sensor networks in both long range ... -
Pioneering approaches for enhancing the speed of hierarchical LA by ordering the actions
Omslandseter, Rebekka Olsson; Lei, Jiao; Oommen, John (Peer reviewed; Journal article, 2023)Fixed Structure Stocastic Automata (FSSA), Variable Structure Learning Automata (VSSA), and their discretized versions have been significantly improved by utilizing inexpensive estimates of the actions' reward probabilities. ... -
The regression Tsetlin machine: a novel approach to interpretable nonlinear regression
Abeyrathna, Kuruge Darshana; Granmo, Ole-Christoffer; Zhang, Xuan; Lei, Jiao; Goodwin, Morten (Peer reviewed; Journal article, 2019) -
Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation
Yadav, Rohan Kumar; Lei, Jiao; Granmo, Ole-Christoffer; Goodwin, Morten (IJCAI International Joint Conference on Artificial Intelligence, Peer reviewed; Conference object, 2022)The state-of-the-art natural language processing models have raised the bar for excellent performance on a variety of tasks in recent years. However, concerns are rising over their primitive sensitivity to distribution ... -
A Single radio based channel datarate-aware parallel rendezvous MAC protocol for cognitive radio networks
Lei, Jiao; Li, Frank Yong (Journal article; Peer reviewed, 2009)Channel hopping based parallel rendezvous multichannel MAC protocols have several advantages since they do not need a control channel, require only one transceiver, and produce higher system capacity. However, channel ... -
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions
Yazidi, Anis; Zhang, Xuan; Lei, Jiao; Oommen, John (Chapter; Peer reviewed, 2018) -
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) -
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 ...