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Beth Jelfs

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2020 – today

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2024
[j12]
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Kaichao Wu, Beth Jelfs, Katrina Neville, Aiqun Cai, Qiang Fang:
fMRI-Based Static and Dynamic Functional Connectivity Analysis for Post-Stroke Motor Dysfunction Patient: A Review. IEEE Access 12: 133067-133085 (2024)
[j11]
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Kaichao Wu, Beth Jelfs, Katrina Neville, Seedahmed S. Mahmoud, Wenzhen He, Qiang Fang:
Dynamic Reconfiguration of Brain Functional Network in Stroke. IEEE J. Biomed. Health Informatics 28(6): 3649-3659 (2024)
2023
[c20]
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  - conf/bsn/ChoyYHZFMNJ23
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Chi Sang Choy, Zixin Ye, Ziyang Huang, Qifeng Zheng, Qiang Fang, Seedahmed S. Mahmoud, Katrina Neville, Beth Jelfs:
Motor Imagery Observed by fNIRS. BSN 2023: 1-4
[c19]
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  - conf/embc/EsmaelpoorPJSMM23
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Jamal Esmaelpoor, Tommy Peng, Beth Jelfs, Maureen J. Shader, Colette M. McKay, Darren Mao:
Brain Functional Connectivity Networks do not Return to Resting-state During Control Trials in Block Design Experiments. EMBC 2023: 1-4
[c18]
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Kaichao Wu, Qiang Fang, Katrina Neville, Beth Jelfs:
Evaluation of Module Dynamics in Functional Brain Networks After Stroke. EMBC 2023: 1-4
2022
[i2]
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  - journals/corr/abs-2209-07199
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Shuai Sun, Beth Jelfs, Kamran Ghorbani, Glenn Matthews, Christopher Gilliam:
Landmark Management in the Application of Radar SLAM. CoRR abs/2209.07199 (2022)
[i1]
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  - journals/corr/abs-2210-17207
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Shuai Sun, Christopher Gilliam, Kamran Ghorbani, Glenn Matthews, Beth Jelfs:
Mapping Extended Landmarks for Radar SLAM. CoRR abs/2210.17207 (2022)
2021
[j10]
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  - journals/sensors/LiJKWM21
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Wenchao Li, Beth Jelfs, Allison Kealy, Xuezhi Wang, Bill Moran:
Cooperative Localization Using Distance Measurements for Mobile Nodes. Sensors 21(4): 1507 (2021)
[j9]
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  - journals/spl/JelfsSGG21
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Beth Jelfs, Shuai Sun, Kamran Ghorbani, Christopher Gilliam:
An Adaptive All-Pass Filter for Time-Varying Delay Estimation. IEEE Signal Process. Lett. 28: 628-632 (2021)
[j8]
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Qi She, Xiaoli Wu, Beth Jelfs, Adam S. Charles, Rosa H. M. Chan:
An Efficient and Flexible Spike Train Model Via Empirical Bayes. IEEE Trans. Signal Process. 69: 3236-3251 (2021)
2020
[c17]
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Beth Jelfs, Christopher Gilliam:
Application of Image Processing and Circular Statistics to 3D Cellular Alignment. APSIPA 2020: 992-1000

2010 – 2019

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2019
[j7]
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  - journals/bspc/KumarJSA19
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Dinesh K. Kumar, Beth Jelfs, Xiaohong Sui, Sridhar P. Arjunan:
Prosthetic hand control: A multidisciplinary review to identify strengths, shortcomings, and the future. Biomed. Signal Process. Control. 53 (2019)
[c16]
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Beth Jelfs, Christopher Gilliam:
Fast & Efficient Delay Estimation Using Local All-Pass & Kalman Filters. APSIPA 2019: 1533-1539
[c15]
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  - conf/embc/ViswanathanBRAJ19
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Rekha Viswanathan, Adrian Bingham, Sanjay Raghav, Sridhar P. Arjunan, Beth Jelfs, Peter Kempster, Dinesh K. Kumar:
Normalized Mutual Information of phonetic sound to distinguish the speech of Parkinson's disease. EMBC 2019: 3523-3526
2018
[c14]
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Christopher Gilliam, Beth Jelfs:
Estimating Muscle Fibre Conduction Velocity in the Presence of Array Misalignment. APSIPA 2018: 853-860
[c13]
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  - conf/embc/BinghamJAK18
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Adrian Bingham, Beth Jelfs, Sridhar P. Arjunan, Dinesh K. Kumar:
Identifying Noisy Electrodes in High Density Surface Electromyography Recordings Through Analysis of Spatial Similarities. EMBC 2018: 2325-2328
[c12]
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Christopher Gilliam, Adrian Bingham, Thierry Blu, Beth Jelfs:
Time-Varying Delay Estimation Using Common Local All-Pass Filters with Application to Surface Electromyography. ICASSP 2018: 841-845
2017
[j6]
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  - journals/entropy/BinghamAJK17
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Adrian Bingham, Sridhar P. Arjunan, Beth Jelfs, Dinesh K. Kumar:
Normalised Mutual Information of High-Density Surface Electromyography during Muscle Fatigue. Entropy 19(12): 697 (2017)
[c11]
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Yuqi Li, Beth Jelfs, Rosa H. M. Chan:
Entropy of surface EMG reflects object weight in grasp-and-lift task. EMBC 2017: 2530-2533
2016
[j5]
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  - journals/cbm/GaoZJCVGBPLCZ16
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Yuan Gao, Gaonan Zhang, Beth Jelfs, Robert Carmer, Prahatha Venkatraman, Mohammad Ghadami, Skye A. Brown, Chi-Pui Pang, Yuk Fai Leung, Rosa H. M. Chan, Mingzhi Zhang:
Computational classification of different wild-type zebrafish strains based on their variation in light-induced locomotor response. Comput. Biol. Medicine 69: 1-9 (2016)
[c10]
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Xiaolong Zhai, Beth Jelfs, Rosa H. M. Chan, Chung Tin:
Short latency hand movement classification based on surface EMG spectrogram with PCA. EMBC 2016: 327-330
[c9]
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  - conf/embc/SoYJSWMC16
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Winnie K. Y. So, Lingling Yang, Beth Jelfs, Qi She, Savio W. H. Wong, Joseph N. Mak, Rosa H. M. Chan:
Cross-frequency information transfer from EEG to EMG in grasping. EMBC 2016: 4531-4534
[c8]
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Beth Jelfs, Ling Li, Chung Tin, Rosa H. M. Chan:
Fuzzy entropy based nonnegative matrix factorization for muscle synergy extraction. ICASSP 2016: 739-743
2015
[c7]
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Beth Jelfs, Shengli Zhou, Bernard K. Y. Wong, Chung Tin, Rosa H. M. Chan:
Recruitment of small synergistic movement makes a good pianist. EMBC 2015: 242-245
2012
[j4]
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  - journals/ijon/LiXJCM12
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Ling Li, Yili Xia, Beth Jelfs, Jianting Cao, Danilo P. Mandic:
Modelling of brain consciousness based on collaborative adaptive filters. Neurocomputing 76(1): 36-43 (2012)
[j3]
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Beth Jelfs, Danilo P. Mandic, Scott C. Douglas:
An adaptive approach for the identification of improper complex signals. Signal Process. 92(2): 335-344 (2012)
2011
[j2]
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  - journals/tnn/XiaJHPM11
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Yili Xia, Beth Jelfs, Marc M. Van Hulle, José C. Príncipe, Danilo P. Mandic:
An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals. IEEE Trans. Neural Networks 22(1): 74-83 (2011)
2010
[j1]
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  - journals/vlsisp/JelfsJVM10
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Beth Jelfs, Soroush Javidi, Phebe Vayanos, Danilo P. Mandic:
Characterisation of Signal Modality: Exploiting Signal Nonlinearity in Machine Learning and Signal Processing. J. Signal Process. Syst. 61(1): 105-115 (2010)

2000 – 2009

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2009
[b1]
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  - phd/ethos/Jelfs09
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Beth Jelfs:
Collaborative adaptive filtering for machine learning. Imperial College London, UK, 2009
2008
[c6]
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  - conf/icassp/MandicVJJA08
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Danilo P. Mandic, Phebe Vayanos, Soroush Javidi, Beth Jelfs, Kazuyuki Aihara:
Online tracking of the degree of nonlinearity within complex signals. ICASSP 2008: 2061-2064
2007
[c5]
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  - conf/icassp/MandicVBJGGR07
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Danilo P. Mandic, Phebe Vayanos, Christos Boukis, Beth Jelfs, Su Lee Goh, Temujin Gautama, Tomasz M. Rutkowski:
Collaborative Adaptive Learning using Hybrid Filters. ICASSP (3) 2007: 921-924
[c4]
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  - conf/icdsp/JelfsMB07
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Beth Jelfs, Danilo P. Mandic, Jacob Benesty:
A Class of Adaptively Regularised PNLMS Algorithms. DSP 2007: 19-22
[c3]
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Beth Jelfs, Danilo P. Mandic, Andrzej Cichocki:
A Unifying Approach to the Derivation of the Class of PNLMS Algorithms. DSP 2007: 35-38
[c2]
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  - conf/nolisp/VayanosCJM07
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Phebe Vayanos, Mo Chen, Beth Jelfs, Danilo P. Mandic:
Exploiting Nonlinearity in Adaptive Signal Processing. NOLISP 2007: 57-77
2006
[c1]
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  - conf/kes/JelfsVCGBGRKM06
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Beth Jelfs, Phebe Vayanos, Mo Chen, Su Lee Goh, Christos Boukis, Temujin Gautama, Tomasz M. Rutkowski, Tony Kuh, Danilo P. Mandic:
An Online Method for Detecting Nonlinearity Within a Signal. KES (3) 2006: 1216-1223

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