Jeremiah D. Deng

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 42

Top Topics

Wireless Sensor

Background Modeling

Coalition Structure Generation

Top Venues

Australasian Conference on Artificial Intelligence

Publications

Suzhen Yuan, Wenhao Zhao, Jeremiah D. Deng, Shuyin Xia, Xianli Li
Quantum image edge detection based on Laplacian of Gaussian operator. Quantum Inf. Process. 23 (5) (2024)
Sander Paul Zwanenburg, Kodie Vincent, Jeremiah D. Deng, Marcus Gurtner, Ryan Gage, Moira Smith, Louise Signal
Kids' Digital Distractions: An observation study of recorded everyday screentime by 12-year-olds. ACIS (2023)
Eranga N. Fernando, Jeremiah D. Deng
Enhancing Hate Speech Detection in Sinhala Language on Social Media using Machine Learning. ACIS (2023)
Yuan Yue, Jeremiah D. Deng, Dirk De Ridder, Patrick Manning, Divya Adhia
Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification. CoRR (2023)
Jean Li, Dirk De Ridder, Divya Adhia, Matthew Hall, Jeremiah D. Deng
Chronic pain detection from resting-state raw EEG signals using improved feature selection. CoRR (2023)
Jinyong Hou, Xuejie Ding, Jeremiah D. Deng, Stephen Cranefield
Deep adversarial transition learning using cross-grafted generative stacks. Neural Networks 149 (2022)
Alina Tetereva, Jean Li, Jeremiah D. Deng, Argyris K. Stringaris, Narun Pat
Capturing brain-cognition relationship: Integrating task-based fMRI across tasks markedly boosts prediction and test-retest reliability. NeuroImage 263 (2022)
Jeremiah D. Deng
Sizing up the Batteries: Modelling of Energy-Harvesting Sensor Nodes in a Delay Tolerant Network. CoRR (2022)
Ying Pang, Haibo Zhang, Jeremiah D. Deng, Lizhi Peng, Fei Teng
Rule-Based Collaborative Learning with Heterogeneous Local Learning Models. PAKDD (1) (2022)
Yuan Yue, Dirk De Ridder, Patrick Manning, Samantha Ross, Jeremiah D. Deng
Finding neural signatures for obesity using source-localized EEG features. CoRR (2022)
Jinyong Hou, Xuejie Ding, Jeremiah D. Deng
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations. WACV (2022)
Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield, Xuejie Ding
Variational Transfer Learning using Cross-Domain Latent Modulation. CoRR (2022)
Jinyong Hou, Xuejie Ding, Jeremiah D. Deng
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations. CoRR (2021)
Feng-Feng Wei, Wei-Neng Chen, Qiang Yang, Jeremiah D. Deng, Xiaonan Luo, Hu Jin, Jun Zhang
A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization. IEEE Trans. Evol. Comput. 25 (2) (2021)
Xiao-Min Hu, Shou-Rong Zhang, Min Li, Jeremiah D. Deng
Multimodal particle swarm optimization for feature selection. Appl. Soft Comput. 113 (Part) (2021)
Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield, Xuejie Ding
Cross-Domain Latent Modulation for Variational Transfer Learning. WACV (2021)
Hanhe Lin, Jeremiah D. Deng, Deike Albers, Felix Wilhelm Siebert
Helmet Use Detection of Tracked Motorcycles Using CNN-Based Multi-Task Learning. IEEE Access 8 (2020)
Jinyong Hou, Xuejie Ding, Stephen Cranefield, Jeremiah D. Deng
Deep Adversarial Transition Learning using Cross-Grafted Generative Stacks. CoRR (2020)
Xianbin Gu, Jeremiah D. Deng
A multi-feature bipartite graph ensemble for image segmentation. Pattern Recognit. Lett. 131 (2020)
Jinyong Hou, Jeremiah D. Deng, Stephen Cranefield, Xuejie Ding
Cross-Domain Latent Modulation for Variational Transfer Learning. CoRR (2020)
Jean Li, Jeremiah D. Deng, Dirk De Ridder, Divya Adhia
Gender Classification of EEG Signals using a Motif Attribute Classification Ensemble. IJCNN (2020)
Jean Li, Jeremiah D. Deng, Divya Adhia, Dirk De Ridder
Resting-state EEG sex classification using selected brain connectivity representation. CoRR (2020)
Jeremiah D. Deng
Performance Modelling of Synchronized Predictive Sensing for Clustered Wireless Sensor Networks. APCC (2019)
Jinyong Hou, Xuejie Ding, Jeremiah D. Deng
Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks. CoRR (2019)
Sophie Zareei, Jeremiah D. Deng
Energy harvesting modelling for self-powered fitness gadgets: a feasibility study. Int. J. Parallel Emergent Distributed Syst. 34 (4) (2019)
Jinyong Hou, Xuejie Ding, Jeremiah D. Deng, Stephen Cranefield
Unsupervised Domain Adaptation using Deep Networks with Cross-Grafted Stacks. ICCV Workshops (2019)
Xiao Fang Liu, Zhi-Hui Zhan, Jeremiah D. Deng, Yun Li, Tianlong Gu, Jun Zhang
An Energy Efficient Ant Colony System for Virtual Machine Placement in Cloud Computing. IEEE Trans. Evol. Comput. 22 (1) (2018)
Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Martin K. Purvis, Maryam Purvis, Lizhi Peng
An Improved PBIL Algorithm for Optimal Coalition Structure Generation of Smart Grids. PAKDD (Workshops) (2018)
Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Martin K. Purvis, Maryam Purvis
Hierarchical Population-Based Learning for Optimal Large-Scale Coalition Structure Generation in Smart Grids. Australasian Conference on Artificial Intelligence (2018)
Sophie Zareei, Jeremiah D. Deng
Impact of Compression Ratio and Reconstruction Methods on ECG Classification for E-Health Gadgets: A Preliminary Study. Australasian Conference on Artificial Intelligence (2018)
Qiang Yang, Wei-Neng Chen, Tianlong Gu, Huaxiang Zhang, Jeremiah D. Deng, Yun Li, Jun Zhang
Segment-Based Predominant Learning Swarm Optimizer for Large-Scale Optimization. IEEE Trans. Cybern. 47 (9) (2017)
Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford
Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning. ICONIP (1) (2017)
Qunfeng Liu, Wei-Neng Chen, Jeremiah D. Deng, Tianlong Gu, Huaxiang Zhang, Zhengtao Yu, Jun Zhang
Benchmarking Stochastic Algorithms for Global Optimization Problems by Visualizing Confidence Intervals. IEEE Trans. Cybern. 47 (9) (2017)
Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford
A streaming ensemble classifier with multi-class imbalance learning for activity recognition. IJCNN (2017)
Sean Hsin-Shyuan Lee, Jeremiah D. Deng, Lizhi Peng, Martin K. Purvis, Maryam Purvis
Top-k Merit Weighting PBIL for Optimal Coalition Structure Generation of Smart Grids. ICONIP (4) (2017)
Sophie Zareei, Amir Hosein Afshar Sedigh, Jeremiah D. Deng, Martin K. Purvis
Buffer management using integrated queueing models for mobile energy harvesting sensors. PIMRC (2017)
Xianbin Gu, Jeremiah D. Deng, Martin K. Purvis
A hierarchical segmentation tree for superpixel-based image segmentation. IVCNZ (2016)
Xianbin Gu, Jeremiah D. Deng, Martin K. Purvis
Image segmentation with superpixel-based covariance descriptors in low-rank representation. CoRR (2016)
Jeremiah D. Deng
Online Outlier Detection of Energy Data Streams Using Incremental and Kernel PCA Algorithms. ICDM Workshops (2016)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford, Ahmad Shahi
Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance. ACM Multimedia (2016)
Sepideh Zareei, Jeremiah D. Deng
Energy management policy for fitness gadgets: A case study of human daily routines. ITNAC (2016)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine. PAKDD (1) (2016)
Jeremiah D. Deng, Martin K. Purvis
Teaching Service Modelling to a Mixed Class: An Integrated Approach. Informatics Educ. 14 (1) (2015)
Femi A. Aderohunmu, Davide Brunelli, Jeremiah D. Deng, Martin K. Purvis
A Data Acquisition Protocol for a Reactive Wireless Sensor Network Monitoring Application. Sensors 15 (5) (2015)
Yuwei Xu, Jeremiah D. Deng, Mariusz Nowostawski, Martin K. Purvis
Optimized routing for video streaming in multi-hop wireless networks using analytical capacity estimation. J. Comput. Syst. Sci. 81 (1) (2015)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Anomaly detection in crowd scenes via online adaptive one-class support vector machines. ICIP (2015)
Ahmad Shahi, Brendon J. Woodford, Jeremiah D. Deng
Event Classification Using Adaptive Cluster-Based Ensemble Learning of Streaming Sensor Data. Australasian Conference on Artificial Intelligence (2015)
Adeel Javed, Zhiyi Huang, Haibo Zhang, Jeremiah D. Deng
CAMS: Consensus-Based Anchor-Node Management Scheme for Train Localisation. ADHOC-NOW (2015)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
A Self-adaptive CodeBook (SACB) model for real-time background subtraction. Image Vis. Comput. 38 (2015)
Sameer Khan, Suet-Peng Yong, Jeremiah D. Deng
Ensemble classification with modified SIFT descriptor for medical image modality. IVCNZ (2015)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Video background modeling: recent approaches, issues and our proposed techniques. Mach. Vis. Appl. 25 (5) (2014)
Adeel Javed, Haibo Zhang, Zhiyi Huang, Jeremiah D. Deng
BWS: Beacon-driven wake-up scheme for train localization using wireless sensor networks. ICC (2014)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Spatial-Temporal Pyramid Matching for Crowd Scene Analysis. MLSDA@PRICAI (2014)
Jeremiah D. Deng
Empirical capacity modeling and evaluation of delay tolerant network routing protocols. IPCCC (2014)
Xianbin Gu, Jeremiah D. Deng, Martin K. Purvis
Improving superpixel-based image segmentation by incorporating color covariance matrix manifolds. ICIP (2014)
Xianbin Gu, Jeremiah D. Deng, Martin K. Purvis
Superpixel-based Segmentation using Multi-layer Bipartite Graphs and Grassmann Manifolds. IVCNZ (2014)
Jeremiah D. Deng, Hsin-Shyuan Lee, Cameron McMillan, Aysha P. Rimoni, Ming Zhang
Analyzing Wind Speed Data through Markov Chain based Profiling and Clustering. MLSDA@PRICAI (2014)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections. Australasian Conference on Artificial Intelligence (2013)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Growing Neural Gas Video Background Model (GNG-BM). Australasian Conference on Artificial Intelligence (2013)
Yuwei Xu, Jeremiah D. Deng, Mariusz Nowostawski
Quality of service for video streaming over multi-hop wireless networks: Admission control approach based on analytical capacity estimation. ISSNIP (2013)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Improving Mixture of Gaussians background model through adaptive learning and Spatio-Temporal voting. ICIP (2013)
Suet-Peng Yong, Jeremiah D. Deng, Martin K. Purvis
Wildlife video key-frame extraction based on novelty detection in semantic context. Multim. Tools Appl. 62 (2) (2013)
Jeremiah D. Deng, Yue Zhang
Light-weight Online Predictive Data Aggregation for Wireless Sensor Networks. MLSDA@AUS-AI (2013)
Femi A. Aderohunmu, Giacomo Paci, Luca Benini, Jeremiah D. Deng, Davide Brunelli
SWIFTNET: A data acquisition protocol for fast-reactive monitoring applications. SIES (2013)
Femi A. Aderohunmu, Giacomo Paci, Davide Brunelli, Jeremiah D. Deng, Luca Benini, Martin K. Purvis
An Application-Specific Forecasting Algorithm for Extending WSN Lifetime. DCOSS (2013)
Femi A. Aderohunmu, Giacomo Paci, Davide Brunelli, Jeremiah D. Deng, Luca Benini, Martin K. Purvis
Trade-offs of Forecasting Algorithm for Extending WSN Lifetime in a Real-World Deployment. DCOSS (2013)
Femi A. Aderohunmu, Giacomo Paci, Davide Brunelli, Jeremiah D. Deng, Luca Benini
Prolonging the lifetime of wireless sensor networks using light-weight forecasting algorithms. ISSNIP (2013)
Suet-Peng Yong, Jeremiah D. Deng, Martin K. Purvis
Novelty detection in wildlife scenes through semantic context modelling. Pattern Recognit. 45 (9) (2012)
Femi A. Aderohunmu, Jeremiah D. Deng, Martin K. Purvis
Optimization of Energy-efficient Protocols with Energy-heterogeneity for Coverage Preservation in Wireless Sensor Networks: An Empirical Study. HPCC-ICESS (2012)
Suet-Peng Yong, Jeremiah D. Deng, Martin K. Purvis
Key-frame extraction of wildlife video based on semantic context modeling. IJCNN (2012)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features. ACCV Workshops (1) (2012)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Enhancing the mixture of Gaussians background model with local matching and local adaptive learning. IVCNZ (2012)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Video manifold modelling: finding the right parameter settings for anomaly detection. IVCNZ (2012)
Yuwei Xu, Jeremiah D. Deng, Mariusz Nowostawski
Optimizing Routing in Multi-hop Wireless Networks Using Analytical Capacity Estimation: A Study on Video Streaming. HPCC-ICESS (2012)
Femi A. Aderohunmu, Jeremiah D. Deng, Martin K. Purvis
Enhancing Clustering in Wireless Sensor Networks with Energy Heterogeneity. Int. J. Bus. Data Commun. Netw. 7 (4) (2011)
Jeremiah D. Deng, Martin K. Purvis
Multi-core application performance optimization using a constrained tandem queueing model. J. Netw. Comput. Appl. 34 (6) (2011)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Enhanced Codebook Model for Real-Time Background Subtraction. ICONIP (3) (2011)
Jeremiah D. Deng, Martin K. Purvis, Maryam Purvis
Software Effort Estimation: Harmonizing Algorithms and Domain Knowledge in an Integrated Data Mining Approach. Int. J. Intell. Inf. Technol. 7 (3) (2011)
Jeremiah D. Deng
Controlling Chaotic Associative Memory for Multiple Pattern Retrieval. Cogn. Comput. 2 (4) (2010)
Suet-Peng Yong, Jeremiah D. Deng, Martin K. Purvis
Modelling semantic context for novelty detection in wildlife scenes. ICME (2010)
Jeremiah D. Deng, Christian Simmermacher, Stephen Cranefield
A Study on Feature Analysis for Musical Instrument Classification. IEEE Trans. Syst. Man Cybern. Part B 38 (2) (2008)
Jeremiah D. Deng, Matthew T. Gleeson
Automatic Sapstain Detection in Processed Timber. Australian Conference on Artificial Intelligence (2007)