Jeremiah D. Deng

95 papers A* 2A 3B 9C 2Misc 7Journal 40Unranked 30
YearRankTypeTitle / Venue / Authors
2025 J jnl
Efficient Quantum Approximate
CoRR
Shuyin Xia, Xiaojiang Tian, Suzhen Yuan, Jeremiah D. Deng
2025 A* conf
Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computing.
IJCAI
Shuyin Xia, Xiaojiang Tian, Suzhen Yuan, Jeremiah D. Deng
2025 J jnl
Improved quantum image weighted average filtering algorithm.
Quantum Inf. Process.
Suzhen Yuan, Xianli Li, Shu Yinxia, Xianrong Qing, Jeremiah D. Deng
2025 J jnl
Modified Feature Selection for Improved Classification of Resting-State Raw EEG Signals in Chronic Knee Pain.
IEEE Trans. Biomed. Eng.
Jean Li, Dirk De Ridder, Divya Adhia, Matthew Hall, Ramakrishnan Mani, Jeremiah D. Deng
2025 J jnl
Quantum color image edge detection algorithm based on Sobel operator.
Quantum Inf. Process.
Suzhen Yuan, Xianli Li, Shuyin Xia, Xianrong Qing, Jeremiah D. Deng
2024 — conf
Adaptive Population-Based Incremental Learning for Feature Selection in Leukemia Gene Expression Data.
ICONIP (11)
Eranga N. Fernando, Jeremiah D. Deng
2024 J jnl
Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach.
IEEE Trans. Knowl. Data Eng.
Ying Pang, Haibo Zhang, Jeremiah D. Deng, Lizhi Peng, Fei Teng
2024 J jnl
ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference.
CoRR
Xiaojie Yu, Haibo Zhang, Lizhi Peng, Fengyang Sun, Jeremiah D. Deng
2024 J jnl
Quantum image edge detection based on Laplacian of Gaussian operator.
Quantum Inf. Process.
Suzhen Yuan, Wenhao Zhao, Jeremiah D. Deng, Shuyin Xia, Xianli Li
2024 — conf
Unsupervised Hybrid Deep Feature Encoder for Robust Feature Learning from Resting-State EEG Data.
EMBC
Yuan Yue, Jeremiah D. Deng, Tapabrata Chakraborti, Dirk De Ridder, Patrick Manning
2024 — conf
Variational Autoencoder Learns Better Feature Representations for EEG-Based Obesity Classification.
ICPR (23)
Yuan Yue, Dirk De Ridder, Patrick Manning, Jeremiah D. Deng
2023 J jnl
Chronic pain detection from resting-state raw EEG signals using improved feature selection.
CoRR
Jean Li, Dirk De Ridder, Divya Adhia, Matthew Hall, Jeremiah D. Deng
2023 — conf
Enhancing Hate Speech Detection in Sinhala Language on Social Media using Machine Learning.
ACIS
Eranga N. Fernando, Jeremiah D. Deng
2023 — conf
Kids' Digital Distractions: An observation study of recorded everyday screentime by 12-year-olds.
ACIS
Sander Paul Zwanenburg, Kodie Vincent, Jeremiah D. Deng, Marcus Gurtner, Ryan Gage, Moira Smith, Louise Signal
2023 J jnl
Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification.
CoRR
Yuan Yue, Jeremiah D. Deng, Dirk De Ridder, Patrick Manning, Divya Adhia
2022 J jnl
Capturing brain-cognition relationship: Integrating task-based fMRI across tasks markedly boosts prediction and test-retest reliability.
NeuroImage
Alina Tetereva, Jean Li, Jeremiah D. Deng, Argyris K. Stringaris, Narun Pat
2022 J jnl
Deep adversarial transition learning using cross-grafted generative stacks.
Neural Networks
Jinyong Hou, Xuejie Ding, Jeremiah D. Deng, Stephen Cranefield
2022 J jnl
Finding neural signatures for obesity using source-localized EEG features.
CoRR
Yuan Yue, Dirk De Ridder, Patrick Manning, Samantha Ross, Jeremiah D. Deng
2022 — conf
Rule-Based Collaborative Learning with Heterogeneous Local Learning Models.
PAKDD (1)
Ying Pang, Haibo Zhang, Jeremiah D. Deng, Lizhi Peng, Fei Teng
2022 A conf
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations.
WACV
Jinyong Hou, Xuejie Ding, Jeremiah D. Deng
2022 J jnl
Sizing up the Batteries: Modelling of Energy-Harvesting Sensor Nodes in a Delay Tolerant Network.
CoRR
Jeremiah D. Deng
2022 J jnl
Variational Transfer Learning using Cross-Domain Latent Modulation.
CoRR
Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield, Xuejie Ding
2021 J jnl
A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization.
IEEE Trans. Evol. Comput.
Feng-Feng Wei, Wei-Neng Chen, Qiang Yang, Jeremiah D. Deng, Xiaonan Luo, Hu Jin, Jun Zhang
2021 A conf
Cross-Domain Latent Modulation for Variational Transfer Learning.
WACV
Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield, Xuejie Ding
2021 J jnl
Multimodal particle swarm optimization for feature selection.
Appl. Soft Comput.
Xiao-Min Hu, Shou-Rong Zhang, Min Li, Jeremiah D. Deng
2021 J jnl
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations.
CoRR
Jinyong Hou, Xuejie Ding, Jeremiah D. Deng
2020 J jnl
A multi-feature bipartite graph ensemble for image segmentation.
Pattern Recognit. Lett.
Xianbin Gu, Jeremiah D. Deng
2020 J jnl
Cross-Domain Latent Modulation for Variational Transfer Learning.
CoRR
Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield, Xuejie Ding
2020 J jnl
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks.
CoRR
Jinyong Hou, Xuejie Ding, Stephen Cranefield, Jeremiah D. Deng
2020 B conf
Gender Classification of EEG Signals using a Motif Attribute Classification Ensemble.
IJCNN
Jean Li, Jeremiah D. Deng, Dirk De Ridder, Divya Adhia
2020 J jnl
Helmet Use Detection of Tracked Motorcycles Using CNN-Based Multi-Task Learning.
IEEE Access
Hanhe Lin, Jeremiah D. Deng, Deike Albers, Felix Wilhelm Siebert
2020 J jnl
Resting-state EEG sex classification using selected brain connectivity representation.
CoRR
Jean Li, Jeremiah D. Deng, Divya Adhia, Dirk De Ridder
2019 J jnl
Energy harvesting modelling for self-powered fitness gadgets: a feasibility study.
Int. J. Parallel Emergent Distributed Syst.
Sophie Zareei, Jeremiah D. Deng
2019 C conf
Performance Modelling of Synchronized Predictive Sensing for Clustered Wireless Sensor Networks.
APCC
Jeremiah D. Deng
2019 — conf
Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks.
ICCV Workshops
Jinyong Hou, Xuejie Ding, Jeremiah D. Deng, Stephen Cranefield
2019 J jnl
Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks.
CoRR
Jinyong Hou, Xuejie Ding, Jeremiah D. Deng
2018 J jnl
An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing.
IEEE Trans. Evol. Comput.
Xiao Fang Liu, Zhi-Hui Zhan, Jeremiah D. Deng, Yun Li, Tianlong Gu, Jun Zhang
2018 — conf
An Improved PBIL Algorithm for Optimal Coalition Structure Generation of Smart Grids.
PAKDD (Workshops)
Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Martin K. Purvis, Maryam Purvis, Lizhi Peng
2018 — conf
Hierarchical Population-Based Learning for Optimal Large-Scale Coalition Structure Generation in Smart Grids.
Australasian Conference on Artificial Intelligence
Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Martin K. Purvis, Maryam Purvis
2018 — conf
Impact of Compression Ratio and Reconstruction Methods on ECG Classification for E-Health Gadgets: A Preliminary Study.
Australasian Conference on Artificial Intelligence
Sophie Zareei, Jeremiah D. Deng
2017 B conf
A streaming ensemble classifier with multi-class imbalance learning for activity recognition.
IJCNN
Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford
2017 J jnl
Benchmarking Stochastic Algorithms for Global Optimization Problems by Visualizing Confidence Intervals.
IEEE Trans. Cybern.
Qunfeng Liu, Wei-Neng Chen, Jeremiah D. Deng, Tianlong Gu, Huaxiang Zhang, Zhengtao Yu, Jun Zhang
2017 B conf
Buffer management using integrated queueing models for mobile energy harvesting sensors.
PIMRC
Sophie Zareei, Amir Hosein Afshar Sedigh, Jeremiah D. Deng, Martin K. Purvis
2017 — conf
Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning.
ICONIP (1)
Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford
2017 J jnl
Segment-Based Predominant Learning Swarm Optimizer for Large-Scale Optimization.
IEEE Trans. Cybern.
Qiang Yang, Wei-Neng Chen, Tianlong Gu, Huaxiang Zhang, Jeremiah D. Deng, Yun Li, Jun Zhang
2017 — conf
Top-k Merit Weighting PBIL for Optimal Coalition Structure Generation of Smart Grids.
ICONIP (4)
Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Lizhi Peng, Martin K. Purvis, Maryam Purvis
2016 Misc conf
A hierarchical segmentation tree for superpixel-based image segmentation.
IVCNZ
Xianbin Gu, Jeremiah D. Deng, Martin K. Purvis
2016 Misc conf
Energy management policy for fitness gadgets: A case study of human daily routines.
ITNAC
Sepideh Zareei, Jeremiah D. Deng
2016 J jnl
Image segmentation with superpixel-based covariance descriptors in low-rank representation.
CoRR
Xianbin Gu, Jeremiah D. Deng, Martin K. Purvis
2016 — conf
Online Outlier Detection of Energy Data Streams Using Incremental and Kernel PCA Algorithms.
ICDM Workshops
Jeremiah D. Deng
2016 A* conf
Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance.
ACM Multimedia
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford, Ahmad Shahi
2016 — conf
Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine.
PAKDD (1)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
2015 J jnl
A Data Acquisition Protocol for a Reactive Wireless Sensor Network Monitoring Application.
Sensors
Femi A. Aderohunmu, Davide Brunelli, Jeremiah D. Deng, Martin K. Purvis
2015 J jnl
A Self-adaptive CodeBook (SACB) model for real-time background subtraction.
Image Vis. Comput.
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
2015 B conf
Anomaly detection in crowd scenes via online adaptive one-class support vector machines.
ICIP
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
2015 — conf
CAMS: Consensus-Based Anchor-Node Management Scheme for Train Localisation.
ADHOC-NOW
Adeel Javed, Zhiyi Huang, Haibo Zhang, Jeremiah D. Deng
2015 Misc conf
Ensemble classification with modified SIFT descriptor for medical image modality.
IVCNZ
Sameer Khan, Suet-Peng Yong, Jeremiah D. Deng
2015 — conf
Event Classification Using Adaptive Cluster-Based Ensemble Learning of Streaming Sensor Data.
Australasian Conference on Artificial Intelligence
Ahmad Shahi, Brendon J. Woodford, Jeremiah D. Deng
2015 J jnl
Optimized routing for video streaming in multi-hop wireless networks using analytical capacity estimation.
J. Comput. Syst. Sci.
Yuwei Xu, Jeremiah D. Deng, Mariusz Nowostawski, Martin K. Purvis
2015 J jnl
Teaching Service Modelling to a Mixed Class: An Integrated Approach.
Informatics Educ.
Jeremiah D. Deng, Martin K. Purvis
2014 — conf
Analyzing Wind Speed Data through Markov Chain based Profiling and Clustering.
MLSDA@PRICAI
Jeremiah D. Deng, Hsin-Shyuan Lee, Cameron McMillan, Aysha P. Rimoni, Ming Zhang
2014 — conf
BWS: Beacon-driven wake-up scheme for train localization using wireless sensor networks.
ICC
Adeel Javed, Haibo Zhang, Zhiyi Huang, Jeremiah D. Deng
2014 C conf
Empirical capacity modeling and evaluation of delay tolerant network routing protocols.
IPCCC
Jeremiah D. Deng
2014 B conf
Improving superpixel-based image segmentation by incorporating color covariance matrix manifolds.
ICIP
Xianbin Gu, Jeremiah D. Deng, Martin K. Purvis
2014 — ed.
Proceedings of the MLSDA 2014 2nd Workshop on Machine Learning for Sensory Data Analysis, Gold Coast, Australia, QLD, Australia, December 2, 2014
MLSDA@PRICAI
Ashfaqur Rahman, Jeremiah D. Deng, Jiuyong Li
2014 — conf
Spatial-Temporal Pyramid Matching for Crowd Scene Analysis.
MLSDA@PRICAI
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
2014 Misc conf
Superpixel-based Segmentation using Multi-layer Bipartite Graphs and Grassmann Manifolds.
IVCNZ
Xianbin Gu, Jeremiah D. Deng, Martin K. Purvis
2014 J jnl
Video background modeling: recent approaches, issues and our proposed techniques.
Mach. Vis. Appl.
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
2013 B conf
An Application-Specific Forecasting Algorithm for Extending WSN Lifetime.
DCOSS
Femi A. Aderohunmu, Giacomo Paci, Davide Brunelli, Jeremiah D. Deng, Luca Benini, Martin K. Purvis
2013 — conf
Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections.
Australasian Conference on Artificial Intelligence
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
2013 — conf
Growing Neural Gas Video Background Model (GNG-BM).
Australasian Conference on Artificial Intelligence
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
2013 B conf
Improving Mixture of Gaussians background model through adaptive learning and Spatio-Temporal voting.
ICIP
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
2013 — conf
Light-weight Online Predictive Data Aggregation for Wireless Sensor Networks.
MLSDA@AUS-AI
Jeremiah D. Deng, Yue Zhang
2013 — conf
Prolonging the lifetime of wireless sensor networks using light-weight forecasting algorithms.
ISSNIP
Femi A. Aderohunmu, Giacomo Paci, Davide Brunelli, Jeremiah D. Deng, Luca Benini
2013 — conf
Quality of service for video streaming over multi-hop wireless networks: Admission control approach based on analytical capacity estimation.
ISSNIP
Yuwei Xu, Jeremiah D. Deng, Mariusz Nowostawski
2013 — conf
SWIFTNET: A data acquisition protocol for fast-reactive monitoring applications.
SIES
Femi A. Aderohunmu, Giacomo Paci, Luca Benini, Jeremiah D. Deng, Davide Brunelli
2013 B conf
Trade-offs of Forecasting Algorithm for Extending WSN Lifetime in a Real-World Deployment.
DCOSS
Femi A. Aderohunmu, Giacomo Paci, Davide Brunelli, Jeremiah D. Deng, Luca Benini, Martin K. Purvis
2013 J jnl
Wildlife video key-frame extraction based on novelty detection in semantic context.
Multim. Tools Appl.
Suet-Peng Yong, Jeremiah D. Deng, Martin K. Purvis
2013 — ed.
Workshop on Machine Learning for Sensory Data Analysis, MLSDA '13, Dunedin, New Zealand, December 2, 2013
MLSDA@AUS-AI
Jeremiah D. Deng, Haibo Zhang
2012 Misc conf
Enhancing the mixture of Gaussians background model with local matching and local adaptive learning.
IVCNZ
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
2012 — conf
Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features.
ACCV Workshops (1)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
2012 Misc ed.
Image and Vision Computing New Zealand, IVCNZ '12, Dunedin, New Zealand - November 26 - 28, 2012
IVCNZ
Brendan McCane, Steven Mills, Jeremiah D. Deng
2012 B conf
Key-frame extraction of wildlife video based on semantic context modeling.
IJCNN
Suet-Peng Yong, Jeremiah D. Deng, Martin K. Purvis
2012 J jnl
Novelty detection in wildlife scenes through semantic context modelling.
Pattern Recognit.
Suet-Peng Yong, Jeremiah D. Deng, Martin K. Purvis
2012 — conf
Optimization of Energy-efficient Protocols with Energy-heterogeneity for Coverage Preservation in Wireless Sensor Networks: An Empirical Study.
HPCC-ICESS
Femi A. Aderohunmu, Jeremiah D. Deng, Martin K. Purvis
2012 — conf
Optimizing Routing in Multi-hop Wireless Networks Using Analytical Capacity Estimation: A Study on Video Streaming.
HPCC-ICESS
Yuwei Xu, Jeremiah D. Deng, Mariusz Nowostawski
2012 Misc conf
Video manifold modelling: finding the right parameter settings for anomaly detection.
IVCNZ
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
2011 — conf
Enhanced Codebook Model for Real-Time Background Subtraction.
ICONIP (3)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
2011 J jnl
Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity.
Int. J. Bus. Data Commun. Netw.
Femi A. Aderohunmu, Jeremiah D. Deng, Martin K. Purvis
2011 J jnl
Multi-core application performance optimization using a constrained tandem queueing model.
J. Netw. Comput. Appl.
Jeremiah D. Deng, Martin K. Purvis
2011 J jnl
Software Effort Estimation: Harmonizing Algorithms and Domain Knowledge in an Integrated Data Mining Approach.
Int. J. Intell. Inf. Technol.
Jeremiah D. Deng, Martin K. Purvis, Maryam Purvis
2010 J jnl
Controlling Chaotic Associative Memory for Multiple Pattern Retrieval.
Cogn. Comput.
Jeremiah D. Deng
2010 A conf
Modelling semantic context for novelty detection in wildlife scenes.
ICME
Suet-Peng Yong, Jeremiah D. Deng, Martin K. Purvis
2008 J jnl
A Study on Feature Analysis for Musical Instrument Classification.
IEEE Trans. Syst. Man Cybern. Part B
Jeremiah D. Deng, Christian Simmermacher, Stephen Cranefield
2007 — conf
Automatic Sapstain Detection in Processed Timber.
Australian Conference on Artificial Intelligence
Jeremiah D. Deng, Matthew T. Gleeson