Blar i AURA på forfatter "Lei, Jiao"
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Indoor Space Classification Using Cascaded LSTM
Yadav, Rohan Kumar; Bhattarai, Bimal; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (Journal article; Peer reviewed, 2020)Indoor space classification is an important part of localization that helps in precise location extraction, which has been extensively utilized in industrial and domestic domain. There are various approaches that employ ... -
An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application
Bhattarai, Bimal; Granmo, Ole-Christoffer; Lei, Jiao (Lecture Notes in Computer Science;13980, Chapter; Peer reviewed, 2023)Data representation plays a crucial role in natural language processing (NLP), forming the foundation for most NLP tasks. Indeed, NLP performance highly depends upon the effectiveness of the preprocessing pipeline that ... -
LCRT : A ToA Based Mobile Terminal Localization Algorithm in NLOS Environment
Lei, Jiao; Li, Frank Yong; Zengyou, Xu (Journal article; Peer reviewed, 2009)Non line-of-sight (NLOS) propagation in range measurement is a key problem for mobile terminal localization. This paper proposes a low computational residual test (LCRT) algorithm that can identify the number of line-of-sight ... -
Learning Automata Based Q-Learning for Content Placement in Cooperative Caching
Yang, Zhong; Liu, Yuanwei; Chen, Yue; Lei, Jiao (Journal article; Peer reviewed, 2020) -
Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling
Abeyrathna, Kuruge Darshana; Bhattarai, Bimal; Goodwin, Morten; Gorji, Saeed Rahimi; Granmo, Ole-Christoffer; Lei, Jiao; Saha, Rupsa; Yadav, Rohan Kumar (Peer reviewed; Journal article, 2021)Using logical clauses to represent patterns, Tsetlin Machine (TM) have recently obtained competitive performance in terms of accuracy, memory footprint, energy, and learning speed on several benchmarks. Each TM clause votes ... -
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) -
On the Convergence of Tsetlin Machines for the XOR Operator
Lei, Jiao; Zhang, Xuan; Granmo, Ole-Christoffer; Abeyrathna, Kuruge Darshana (Peer reviewed; Journal article, 2022)The Tsetlin Machine (TM) is a novel machine learning algorithm with several distinct properties, including transparent inference and learning using hardware-near building blocks. Although numerous papers explore the TM ... -
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. ... -
Positionless aspect based sentiment analysis using attention mechanism.
Yadav, Rohan Kumar; Lei, Jiao; Goodwin, Morten; Granmo, Ole-Christoffer (Peer reviewed; Journal article, 2021) -
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 ... -
Temperate fish detection and classification: a deep learning based approach
Knausgård, Kristian Muri; Wiklund, Arne; Sørdalen, Tonje Knutsen; Halvorsen, Kim Aleksander Tallaksen; Kleiven, Alf Ring; Lei, Jiao; Goodwin, Morten (Peer reviewed; Journal article, 2021)A wide range of applications in marine ecology extensively uses underwater cameras. Still, to efficiently process the vast amount of data generated, we need to develop tools that can automatically detect and recognize ... -
The Hierarchical Continuous Pursuit Learning Automation for Large Numbers of Actions
Yazidi, Anis; Zhang, Xuan; Lei, Jiao; Oommen, John (Chapter; Peer reviewed, 2018)