Handwritten Chinese Character Recognition Using Spatial Gabor Filters and Self-Organizing Feature Maps. - Da Deng 001; Kwok Ping Chan; Yinglin Yu (ICIP (3), 1994)

Self-organising learning of receptive fields in multi-resolution. - Da Deng 001; Kwok Ping Chan; Y. L. Yu (ICNN, 1995)

Block-Constrained Fractal Coding Scheme for Image Retrieval. - Zhiyong Wang 001; Zheru Chi; Jeremiah Da Deng; Yinlin Yu (VISUAL, 1999)

ESOM: An Algorithm to Evolve Self-Organizing Maps from On-Line Data Streams. - Da Deng 001; Nikola K. Kasabov (IJCNN (6), 2000)

An evolving localised learning model for on-line image colour quantisation. - Da Deng 001; Nikola K. Kasabov (ICIP (1), 2001)

On-line pattern analysis by evolving self-organizing maps. - Da Deng 001; Nikola K. Kasabov (Neurocomputing, 2003)

Visualisation and Comparison of Image Collections based on Self-organised Maps. - Da Deng 001; Jianhua Zhang; Martin K. Purvis (ACSW, 2004)

A wavelet-based neuro-fuzzy system for data mining small image sets. - Brendon J. Woodford; Da Deng 001; George L. Benwell (ACSW, 2004)

Braving the Semantic Gap: Mapping Visual Concepts from Images and Videos. - Da Deng 001 (ICDM, 2004)

Content-based Comparison of Image Collections via Distance Measuring of Self-organised Maps. - Da Deng 001 (MMM, 2004)

Combining Multiple Precision-Boosted Classifiers for Indoor-Outdoor Scene Classification. - Da Deng 001; Jianhua Zhang (ICITA (1), 2005)

POISE - Achieving Content-Based Picture Organisation for Image Search Engines. - Da Deng 001; Heiko Wolf (KES (2), 2005)

Image classification using labelled and unlabelled data. - Irena Koprinska; Da Deng 001; Felix Feger (EUSIPCO, 2006)

Feature Analysis and Classification of Classical Musical Instruments: An Empirical Study. - Christian Simmermacher; Da Deng 001; Stephen Cranefield (ICDM, 2006)

Automatic Sapstain Detection in Processed Timber. - Jeremiah D. Deng; Matthew T. Gleeson (Australian Conference on Artificial Intelligence, 2007)

Content-based image collection summarization and comparison using self-organizing maps. - Da Deng 001 (Pattern Recognit., 2007)

A Study on Feature Analysis for Musical Instrument Classification. - Jeremiah D. Deng; Christian Simmermacher; Stephen Cranefield (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Modelling semantic context for novelty detection in wildlife scenes. - Suet-Peng Yong; Jeremiah D. Deng; Martin K. Purvis (ICME, 2010)

Controlling Chaotic Associative Memory for Multiple Pattern Retrieval. - Jeremiah D. Deng (Cogn. Comput., 2010)

Enhanced Codebook Model for Real-Time Background Subtraction. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (ICONIP (3), 2011)

Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity. - Femi A. Aderohunmu; Jeremiah D. Deng; Martin K. Purvis (Int. J. Bus. Data Commun. Netw., 2011)

Software Effort Estimation: Harmonizing Algorithms and Domain Knowledge in an Integrated Data Mining Approach. - Jeremiah D. Deng; Martin K. Purvis; Maryam Purvis (Int. J. Intell. Inf. Technol., 2011)

Multi-core application performance optimization using a constrained tandem queueing model. - Jeremiah D. Deng; Martin K. Purvis (J. Netw. Comput. Appl., 2011)

Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (ACCV Workshops (1), 2012)

Optimization of Energy-efficient Protocols with Energy-heterogeneity for Coverage Preservation in Wireless Sensor Networks: An Empirical Study. - Femi A. Aderohunmu; Jeremiah D. Deng; Martin K. Purvis (HPCC-ICESS, 2012)

Optimizing Routing in Multi-hop Wireless Networks Using Analytical Capacity Estimation: A Study on Video Streaming. - Yuwei Xu; Jeremiah D. Deng; Mariusz Nowostawski (HPCC-ICESS, 2012)

Key-frame extraction of wildlife video based on semantic context modeling. - Suet-Peng Yong; Jeremiah D. Deng; Martin K. Purvis (IJCNN, 2012)

Video manifold modelling: finding the right parameter settings for anomaly detection. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (IVCNZ, 2012)

Enhancing the mixture of Gaussians background model with local matching and local adaptive learning. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (IVCNZ, 2012)

Novelty detection in wildlife scenes through semantic context modelling. - Suet-Peng Yong; Jeremiah D. Deng; Martin K. Purvis (Pattern Recognit., 2012)

Light-weight Online Predictive Data Aggregation for Wireless Sensor Networks. - Jeremiah D. Deng; Yue Zhang (MLSDA@AUS-AI, 2013)

Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (Australasian Conference on Artificial Intelligence, 2013)

Growing Neural Gas Video Background Model (GNG-BM). - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (Australasian Conference on Artificial Intelligence, 2013)

Trade-offs of Forecasting Algorithm for Extending WSN Lifetime in a Real-World Deployment. - Femi A. Aderohunmu; Giacomo Paci; Davide Brunelli; Jeremiah D. Deng; Luca Benini; Martin K. Purvis (DCOSS, 2013)

An Application-Specific Forecasting Algorithm for Extending WSN Lifetime. - Femi A. Aderohunmu; Giacomo Paci; Davide Brunelli; Jeremiah D. Deng; Luca Benini; Martin K. Purvis (DCOSS, 2013)

Improving Mixture of Gaussians background model through adaptive learning and Spatio-Temporal voting. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (ICIP, 2013)

Prolonging the lifetime of wireless sensor networks using light-weight forecasting algorithms. - Femi A. Aderohunmu; Giacomo Paci; Davide Brunelli; Jeremiah D. Deng; Luca Benini (ISSNIP, 2013)

Quality of service for video streaming over multi-hop wireless networks: Admission control approach based on analytical capacity estimation. - Yuwei Xu; Jeremiah D. Deng; Mariusz Nowostawski (ISSNIP, 2013)

SWIFTNET: A data acquisition protocol for fast-reactive monitoring applications. - Femi A. Aderohunmu; Giacomo Paci; Luca Benini; Jeremiah D. Deng; Davide Brunelli (SIES, 2013)

Wildlife video key-frame extraction based on novelty detection in semantic context. - Suet-Peng Yong; Jeremiah D. Deng; Martin K. Purvis (Multim. Tools Appl., 2013)

Keypoint-Based Keyframe Selection. - Genliang Guan; Zhiyong Wang 001; Shiyang Lu; Jeremiah Da Deng; David Dagan Feng (IEEE Trans. Circuits Syst. Video Technol., 2013)

BWS: Beacon-driven wake-up scheme for train localization using wireless sensor networks. - Adeel Javed; Haibo Zhang 001; Zhiyi Huang 001; Jeremiah D. Deng (ICC, 2014)

Improving superpixel-based image segmentation by incorporating color covariance matrix manifolds. - Xianbin Gu; Jeremiah D. Deng; Martin K. Purvis (ICIP, 2014)

Empirical capacity modeling and evaluation of delay tolerant network routing protocols. - Jeremiah D. Deng (IPCCC, 2014)

Superpixel-based Segmentation using Multi-layer Bipartite Graphs and Grassmann Manifolds. - Xianbin Gu; Jeremiah D. Deng; Martin K. Purvis (IVCNZ, 2014)

Analyzing Wind Speed Data through Markov Chain based Profiling and Clustering. - Jeremiah D. Deng; Hsin-Shyuan Lee; Cameron McMillan; Aysha P. Rimoni; Ming Zhang (MLSDA@PRICAI, 2014)

Spatial-Temporal Pyramid Matching for Crowd Scene Analysis. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (MLSDA@PRICAI, 2014)

Video background modeling: recent approaches, issues and our proposed techniques. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (Mach. Vis. Appl., 2014)

CAMS: Consensus-Based Anchor-Node Management Scheme for Train Localisation. - Adeel Javed; Zhiyi Huang 001; Haibo Zhang 001; Jeremiah D. Deng (ADHOC-NOW, 2015)

Event Classification Using Adaptive Cluster-Based Ensemble Learning of Streaming Sensor Data. - Ahmad Shahi; Brendon J. Woodford; Jeremiah D. Deng (Australasian Conference on Artificial Intelligence, 2015)

Anomaly detection in crowd scenes via online adaptive one-class support vector machines. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (ICIP, 2015)

Ensemble classification with modified SIFT descriptor for medical image modality. - Sameer Khan; Suet-Peng Yong; Jeremiah D. Deng (IVCNZ, 2015)

Teaching Service Modelling to a Mixed Class: An Integrated Approach. - Jeremiah D. Deng; Martin K. Purvis (Informatics Educ., 2015)

A Self-adaptive CodeBook (SACB) model for real-time background subtraction. - Munir Shah; Jeremiah D. Deng; Brendon J. Woodford (Image Vis. Comput., 2015)

Optimized routing for video streaming in multi-hop wireless networks using analytical capacity estimation. - Yuwei Xu; Jeremiah D. Deng; Mariusz Nowostawski; Martin K. Purvis (J. Comput. Syst. Sci., 2015)

A Data Acquisition Protocol for a Reactive Wireless Sensor Network Monitoring Application. - Femi A. Aderohunmu; Davide Brunelli; Jeremiah D. Deng; Martin K. Purvis (Sensors, 2015)

Online Outlier Detection of Energy Data Streams Using Incremental and Kernel PCA Algorithms. - Jeremiah D. Deng (ICDM Workshops, 2016)

Energy management policy for fitness gadgets: A case study of human daily routines. - Sepideh Zareei; Jeremiah D. Deng (ITNAC, 2016)

A hierarchical segmentation tree for superpixel-based image segmentation. - Xianbin Gu; Jeremiah D. Deng; Martin K. Purvis (IVCNZ, 2016)

Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford; Ahmad Shahi (ACM Multimedia, 2016)

Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine. - Hanhe Lin; Jeremiah D. Deng; Brendon J. Woodford (PAKDD (1), 2016)

Image segmentation with superpixel-based covariance descriptors in low-rank representation. - Xianbin Gu; Jeremiah D. Deng; Martin K. Purvis (CoRR, 2016)

Top-k Merit Weighting PBIL for Optimal Coalition Structure Generation of Smart Grids. - Sean Hsin-Shyuan Lee; Jeremiah D. Deng; Lizhi Peng; Martin K. Purvis; Maryam Purvis (ICONIP (4), 2017)

Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning. - Ahmad Shahi; Jeremiah D. Deng; Brendon J. Woodford (ICONIP (1), 2017)

A streaming ensemble classifier with multi-class imbalance learning for activity recognition. - Ahmad Shahi; Jeremiah D. Deng; Brendon J. Woodford (IJCNN, 2017)

Buffer management using integrated queueing models for mobile energy harvesting sensors. - Sophie Zareei; Amir Hosein Afshar Sedigh; Jeremiah D. Deng; Martin K. Purvis (PIMRC, 2017)

Benchmarking Stochastic Algorithms for Global Optimization Problems by Visualizing Confidence Intervals. - Qunfeng Liu; Wei-Neng Chen; Jeremiah D. Deng; Tianlong Gu; Huaxiang Zhang 001; Zhengtao Yu 001; Jun Zhang 003 (IEEE Trans. Cybern., 2017)

Segment-Based Predominant Learning Swarm Optimizer for Large-Scale Optimization. - Qiang Yang 008; Wei-Neng Chen; Tianlong Gu; Huaxiang Zhang 001; Jeremiah D. Deng; Yun Li 002; Jun Zhang 003 (IEEE Trans. Cybern., 2017)

Hierarchical Population-Based Learning for Optimal Large-Scale Coalition Structure Generation in Smart Grids. - Sean Hsin-Shyuan Lee; Jeremiah D. Deng; Martin K. Purvis; Maryam Purvis (Australasian Conference on Artificial Intelligence, 2018)

Impact of Compression Ratio and Reconstruction Methods on ECG Classification for E-Health Gadgets: A Preliminary Study. - Sophie Zareei; Jeremiah D. Deng (Australasian Conference on Artificial Intelligence, 2018)

An Improved PBIL Algorithm for Optimal Coalition Structure Generation of Smart Grids. - Sean Hsin-Shyuan Lee; Jeremiah D. Deng; Martin K. Purvis; Maryam Purvis; Lizhi Peng (PAKDD (Workshops), 2018)

An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing. - Xiao Fang Liu; Zhi-Hui Zhan; Jeremiah D. Deng; Yun Li 002; Tianlong Gu; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2018)

A Level-Based Learning Swarm Optimizer for Large-Scale Optimization. - Qiang Yang 008; Wei-Neng Chen; Jeremiah Da Deng; Yun Li 002; Tianlong Gu; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2018)

Performance Modelling of Synchronized Predictive Sensing for Clustered Wireless Sensor Networks. - Jeremiah D. Deng (APCC, 2019)

Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks. - Jinyong Hou; Xuejie Ding; Jeremiah D. Deng; Stephen Cranefield (ICCV Workshops, 2019)

Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks. - Jinyong Hou; Xuejie Ding; Jeremiah D. Deng (CoRR, 2019)

Energy harvesting modelling for self-powered fitness gadgets: a feasibility study. - Sophie Zareei; Jeremiah D. Deng (Int. J. Parallel Emergent Distributed Syst., 2019)

Gender Classification of EEG Signals using a Motif Attribute Classification Ensemble. - Jean Li; Jeremiah D. Deng; Dirk De Ridder; Divya Adhia (IJCNN, 2020)

Helmet Use Detection of Tracked Motorcycles Using CNN-Based Multi-Task Learning. - Hanhe Lin; Jeremiah D. Deng; Deike Albers; Felix Wilhelm Siebert (IEEE Access, 2020)

Resting-state EEG sex classification using selected brain connectivity representation. - Jean Li; Jeremiah D. Deng; Divya Adhia; Dirk De Ridder (CoRR, 2020)

A multi-feature bipartite graph ensemble for image segmentation. - Xianbin Gu; Jeremiah D. Deng (Pattern Recognit. Lett., 2020)

Cross-Domain Latent Modulation for Variational Transfer Learning. - Jinyong Hou; Jeremiah D. Deng; Stephen Cranefield; Xuejie Ding (WACV, 2021)

Multimodal particle swarm optimization for feature selection. - Xiao-Min Hu; Shou-Rong Zhang; Min Li; Jeremiah D. Deng (Appl. Soft Comput., 2021)

A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization. - Feng-Feng Wei; Wei-Neng Chen; Qiang Yang 008; Jeremiah D. Deng; Xiaonan Luo; Hu Jin; Jun Zhang 003 (IEEE Trans. Evol. Comput., 2021)

Rule-Based Collaborative Learning with Heterogeneous Local Learning Models. - Ying Pang; Haibo Zhang 001; Jeremiah D. Deng; Lizhi Peng; Fei Teng 001 (PAKDD (1), 2022)

Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations. - Jinyong Hou; Xuejie Ding; Jeremiah D. Deng (WACV, 2022)

Variational Transfer Learning using Cross-Domain Latent Modulation. - Jinyong Hou; Jeremiah D. Deng; Stephen Cranefield; Xuejie Ding (CoRR, 2022)

Finding neural signatures for obesity using source-localized EEG features. - Yuan Yue; Dirk De Ridder; Patrick Manning; Samantha Ross; Jeremiah D. Deng (CoRR, 2022)

Sizing up the Batteries: Modelling of Energy-Harvesting Sensor Nodes in a Delay Tolerant Network. - Jeremiah D. Deng (CoRR, 2022)

Capturing brain-cognition relationship: Integrating task-based fMRI across tasks markedly boosts prediction and test-retest reliability. - Alina Tetereva; Jean Li; Jeremiah D. Deng; Argyris K. Stringaris; Narun Pat (NeuroImage, 2022)

Deep adversarial transition learning using cross-grafted generative stacks. - Jinyong Hou; Xuejie Ding; Jeremiah D. Deng; Stephen Cranefield (Neural Networks, 2022)

Enhancing Hate Speech Detection in Sinhala Language on Social Media using Machine Learning. - Eranga N. Fernando; Jeremiah D. Deng (ACIS, 2023)

Kids' Digital Distractions: An observation study of recorded everyday screentime by 12-year-olds. - Sander Paul Zwanenburg; Kodie Vincent; Jeremiah D. Deng; Marcus Gurtner; Ryan Gage; Moira Smith; Louise Signal (ACIS, 2023)

Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification. - Yuan Yue; Jeremiah D. Deng; Dirk De Ridder; Patrick Manning; Divya Adhia (CoRR, 2023)

Chronic pain detection from resting-state raw EEG signals using improved feature selection. - Jean Li; Dirk De Ridder; Divya Adhia; Matthew Hall; Jeremiah D. Deng (CoRR, 2023)

Unsupervised Hybrid Deep Feature Encoder for Robust Feature Learning from Resting-State EEG Data. - Yuan Yue; Jeremiah D. Deng; Tapabrata Chakraborti; Dirk De Ridder; Patrick Manning (EMBC, 2024)

Adaptive Population-Based Incremental Learning for Feature Selection in Leukemia Gene Expression Data. - Eranga N. Fernando; Jeremiah D. Deng (ICONIP (11), 2024)

Variational Autoencoder Learns Better Feature Representations for EEG-Based Obesity Classification. - Yuan Yue; Dirk De Ridder; Patrick Manning; Jeremiah D. Deng (ICPR (23), 2024)

ESS-ReduNet: Enhancing Subspace Separability of ReduNet via Dynamic Expansion with Bayesian Inference. - Xiaojie Yu; Haibo Zhang 001; Lizhi Peng; Fengyang Sun; Jeremiah D. Deng (CoRR, 2024)

Quantum image edge detection based on Laplacian of Gaussian operator. - Suzhen Yuan; Wenhao Zhao; Jeremiah D. Deng; Shuyin Xia; Xianli Li (Quantum Inf. Process., 2024)

Collaborative Learning With Heterogeneous Local Models: A Rule-Based Knowledge Fusion Approach. - Ying Pang; Haibo Zhang 001; Jeremiah D. Deng; Lizhi Peng; Fei Teng 001 (IEEE Trans. Knowl. Data Eng., 2024)

Efficient Quantum Approximate kNN Algorithm via Granular-Ball Computing. - Shuyin Xia; Xiaojiang Tian; Suzhen Yuan; Jeremiah D. Deng (CoRR, 2025)

Improved quantum image weighted average filtering algorithm. - Suzhen Yuan; Xianli Li; Shu Yinxia; Xianrong Qing; Jeremiah D. Deng (Quantum Inf. Process., 2025)

Modified Feature Selection for Improved Classification of Resting-State Raw EEG Signals in Chronic Knee Pain. - Jean Li; Dirk De Ridder; Divya Adhia; Matthew Hall; Ramakrishnan Mani; Jeremiah D. Deng (IEEE Trans. Biomed. Eng., 2025)

Quantum color image edge detection algorithm based on Sobel operator. - Suzhen Yuan; Xianli Li; Shuyin Xia; Xianrong Qing; Jeremiah D. Deng (Quantum Inf. Process., 2025)