Jinglan Zhang

发表

Timed Probabilistic Automaton : Bridge between Automatic Species Recognition

P. Roe, Shufei Duan, Jinglan Zhang, 2013 .

Evaluation of spectral and texture features for object-based vegetation species classification using Support Vector Machines

Ross F. Hayward, Rodney A. Walker, Jinglan Zhang, 2010 .

Uncertainties on the GIS based potential natural vegetation simulation using Comprehensive and Sequential Classification System

Jinglan Zhang, P. Grace, Jun Zhao, 2020 .

A Fuzzy Shape Specification System to Support Design for Aesthetics

Jinglan Zhang, Binh Pham, Binh Pham, 2003 .

Large Scale Participatory Acoustic Sensor Data Analysis: Tools and Reputation Models to Enhance Effectiveness

Paul Roe, Ian Williamson, Jinglan Zhang, 2011, 2011 IEEE Seventh International Conference on eScience.

Investigation of CNN-based models for Frog Calling Activity Detection

Kai Hu, Ya Guo, Jinghu Yu, 2020, 2020 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).

Aspect-Based Opinion Mining from Product Reviews Using Conditional Random Fields

Yuefeng Li, Jinglan Zhang, Amani K. Samha, 2015, AusDM.

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Amjad J. Humaidi, Ayad Q. Al-Dujaili, José I. Santamaría, 2021, Journal of Big Data.

Managing and Analysing Big Audio Data for Environmental Monitoring

Michael W. Towsey, Jinglan Zhang, Kai Huang, 2013, 2013 IEEE 16th International Conference on Computational Science and Engineering.

Multiple-Instance Multiple-Label Learning for the Classification of Frog Calls with Acoustic Event Detection

Paul Roe, Liang Zhang, Michael W. Towsey, 2016, ICISP.

Semi-supervised text classification with deep convolutional neural network using feature fusion approach

Yuefeng Li, Jinglan Zhang, Qing Zhang, 2019, 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study

Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi, 2021, PeerJ Comput. Sci..

Towards automatic power line detection for a UAV surveillance system using pulse coupled neural filter and an improved Hough transform

Rodney A. Walker, Jinglan Zhang, Zhengrong Li, 2009, Machine Vision and Applications.

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Amjad J. Humaidi, Ayad Q. Al-Dujaili, Laith Farhan, 2021, Journal of Big Data.

Bioacoustic signal denoising: a review

Jie Xie, Juan Gabriel Colonna, Jinglan Zhang, 2020, Artificial Intelligence Review.

Enhancing Access to eLearning for People with Intellectual Disability: Integrating Usability with Learning

Laurianne Sitbon, Jinglan Zhang, Theja Kuruppu Arachchi, 2017, INTERACT.

Prediction of Relative Physical Activity Intensity Using Multimodal Sensing of Physiological Data

Jinglan Zhang, Vinod Chandran, Dian Tjondronegoro, 2019, Sensors.

Novel Transfer Learning Approach for Medical Imaging with Limited Labeled Data

Ye Duan, Omran Al-Shamma, Laith Alzubaidi, 2021, Cancers.

Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study

Mohammed A. Fadhel, Omran Al-Shamma, Sameer Razzaq Oleiwi, 2020, Applied Sciences.

Designing for refugees: insights from design workshop

Dhaval Vyas, Jinglan Zhang, Asam Almohamed, 2018, OZCHI.

Archiving nature's heartbeat using smartphones

Paul Roe, Jiro Sumitomo, Richard Mason, 2010 .

Towards an Acoustic Environmental Observatory

Paul Roe, Richard Mason, Michael W. Towsey, 2008, 2008 IEEE Fourth International Conference on eScience.

Fuzzy genetic algorithms based on level interval algorithm

Yi-Ping Phoebe Chen, Jinglan Zhang, Binh Pham, 2001, 10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).

A fuzzy genetic algorithm for creative shape design

Jinglan Zhang, Binh Pham, Yi-Ping Pheobe Chen, 2001 .

Fuzzy Genetic Algorithms with Fuzzy Solutions

Jinglan Zhang, Binh Pham, Phoebe Chen, 2001 .

Mining and classifying customer reviews: a survey

Jinglan Zhang, Ajantha S. Atukorale, L. D. C. S. Subhashini, 2021, Artificial Intelligence Review.

Enhancing Internet Search Abilities for People with Intellectual Disabilities in Sri Lanka

Laurianne Sitbon, Jinglan Zhang, K. Priyantha Hewagamage, 2021, ACM Trans. Access. Comput..

LIFT: An eLearning Introduction to Web Search for Young Adults with Intellectual Disability in Sri Lanka

Laurianne Sitbon, Jinglan Zhang, Ruwan Gamage, 2021, INTERACT.

A Framework for Information Accessibility in Large Video Repositories

Margot Brereton, Laurianne Sitbon, Andrew A. Bayor, 2020, CHIIR.

Rebuilding social capital: engaging newly arrived refugees in participatory design

Dhaval Vyas, Jinglan Zhang, Asam Almohamed, 2017, OZCHI.

Deep Learning Models for Classification of Red Blood Cells in Microscopy Images to Aid in Sickle Cell Anemia Diagnosis

Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi, 2020, Electronics.

DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network

Omran Al-Shamma, Laith Alzubaidi, Jinglan Zhang, 2019, Multimedia Tools and Applications.

Optimizing the Performance of Breast Cancer Classification by Employing the Same Domain Transfer Learning from Hybrid Deep Convolutional Neural Network Model

Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi, 2020, Electronics.

Knowledge-based power line detection for UAV surveillance and inspection systems

Jinhai Cai, Jinglan Zhang, Zhengrong Li, 2008, 2008 23rd International Conference Image and Vision Computing New Zealand.

3D Face Tracking Using Stereo Cameras: A Review

Jasmine Banks, Vinod Chandran, Jinglan Zhang, 2020, IEEE Access.

Opinion Classification using Pattern Mining and Fuzzy Logic

Yuefeng Li, L. D. C. S. Subhashini, Jinglang Zhang, 2018, 2018 18th International Conference on Advances in ICT for Emerging Regions (ICTer).

A survey of tagging techniques for music, speech and environmental sound

Paul Roe, Michael W. Towsey, Jinglan Zhang, 2012, Artificial Intelligence Review.

Data selection in frog chorusing recognition with acoustic indices

Paul Roe, Yuefeng Li, Michael W. Towsey, 2020, Ecol. Informatics.

Investigation of Acoustic and Visual Features for Frog Call Classification

Paul Roe, Jinglan Zhang, Jie Xie, 2020, J. Signal Process. Syst..

Investigation of Acoustic and Visual Features for Frog Call Classification

P. Roe, Jinglan Zhang, M. Towsey, 2019, Journal of Signal Processing Systems.

Using non-negative matrix factorisation to facilitate efficient bird species richness surveys

P. Roe, Jinglan Zhang, M. Towsey, 2017 .

Frog call classification: a survey

P. Roe, Jinglan Zhang, M. Towsey, 2016, Artificial Intelligence Review.

Frog call classification: a survey

Paul Roe, Michael W. Towsey, Jinglan Zhang, 2016, Artificial Intelligence Review.

Acoustic classification of Australian frogs based on enhanced features and machine learning algorithms

Paul Roe, Jinglan Zhang, Jie Xie, 2016 .

Adaptive frequency scaled wavelet packet decomposition for frog call classification

Paul Roe, Michael W. Towsey, Jinglan Zhang, 2016, Ecol. Informatics.

Application of image processing techniques for frog call classification

Paul Roe, Michael W. Towsey, Jinglan Zhang, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Acoustic features for multi-level classification of Australian frogs

Paul Roe, Jinglan Zhang, Jie Xie, 2015, 2015 10th International Conference on Information, Communications and Signal Processing (ICICS).

Computer-Assisted Sampling of Acoustic Data for More Efficient Determination of Bird Species Richness

Paul Roe, Liang Zhang, Michael W. Towsey, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Assistive classification for improving the efficiency of avian species richness surveys

Paul Roe, Liang Zhang, Michael W. Towsey, 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).

Reputation modelling in Citizen Science for environmental acoustic data analysis

Paul Roe, Jinglan Zhang, Hao-Fan Yang, 2013, Social Network Analysis and Mining.

Robust application of new deep learning tools: an experimental study in medical imaging

Ye Duan, Mohammed A. Fadhel, Omran Al-Shamma, 2021, Multimedia Tools and Applications.

A Shape Ontology Framework for Bird Classification

Yue Liu, Shlomo Geva, Jinglan Zhang, 2007, 9th Biennial Conference of the Australian Pattern Recognition Society on Digital Image Computing Techniques and Applications (DICTA 2007).

Individual Tree Crown Delineation Techniques for Vegetation Management in Power Line Corridor

Jinglan Zhang, Zhengrong Li, Ross Hayward, 2008, 2008 Digital Image Computing: Techniques and Applications.

Using multi-label classification for acoustic pattern detection and assisting bird species surveys

Paul Roe, Liang Zhang, Jinglan Zhang, 2016 .

Acoustic classification of Australian anurans using syllable features

Paul Roe, Michael W. Towsey, Philip Eichinski, 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Mid-Level Concept Learning with Visual Contextual Ontologies and Probabilistic Inference for Image Annotation

Shlomo Geva, Jinglan Zhang, Zhengrong Li, 2010, MMM.

Acoustic classification of frog within-species and species-specific calls

Paul Roe, Michael Towsey, Jinglan Zhang, 2018 .

An intelligent system for estimating frog community calling activity and species richness

Paul Roe, Jinglan Zhang, Jie Xie, 2017 .

Collaborative Exploration and Sensemaking of Big Environmental Sound Data

Jessica L. Cappadonna, M. Brereton, P. Roe, 2017, Computer Supported Cooperative Work (CSCW).

automatic Detection and Tracking of Faces in 3D Using a Stereo Camera

V. Chandran, Jasmine Banks, Jinglan Zhang, 2020 .

Detection and Tracking of Faces in 3D Using a Stereo Camera Arrangements

Jasmine Banks, Vinod Chandran, Jinglan Zhang, 2019, International Journal of Machine Learning and Computing.

An Interactive Method for Visualising Physical Activity in Parks

Jinglan Zhang, Benjamin Rowe, Tracy Washington, 2019, 2019 23rd International Conference in Information Visualization – Part II.

Extended Reality for Refugees: Pragmatic Ideas through Ethnographic Research with Refugees in Australia

Dhaval Vyas, Arindam Dey, Jinglan Zhang, 2019, 2019 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).

Corner Detection in Images Under Different Noise Levels

Shuxiao Li, Hongxing Chang, Jinglan Zhang, 2014, 2014 22nd International Conference on Pattern Recognition.

An Investigation into Acoustic Analysis Methods for Endangered Species Monitoring: A Case of Monitoring the Critically Endangered White-Bellied Heron in Bhutan

Margot Brereton, Paul Roe, Liang Zhang, 2017, 2017 IEEE 13th International Conference on e-Science (e-Science).

Recognition of Frog Chorusing with Acoustic Indices and Machine Learning

Paul Roe, Jinglan Zhang, Hongxiao Gan, 2019, 2019 15th International Conference on eScience (eScience).

Animal Call Recognition with Acoustic Indices: Little Spotted Kiwi as a Case Study

Paul Roe, Yuefeng Li, Michael W. Towsey, 2018, 2018 Digital Image Computing: Techniques and Applications (DICTA).

Sensor Network for the Monitoring of Ecosystem: Bird Species Recognition

Jinhai Cai, Jinglan Zhang, Binh Pham, 2007, 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information.

Moving object detection in aerial video based on spatiotemporal saliency

Shuxiao Li, Hongxing Chang, Jinglan Zhang, 2013 .

Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood

Mohammed A. Fadhel, Omran Al-Shamma, Laith Alzubaidi, 2018, ISDA.

Classifying and ranking audio clips to support bird species richness surveys

Paul Roe, Liang Zhang, Michael W. Towsey, 2016, Ecol. Informatics.

A survey of tagging techniques for music, speech and environmental sound

P. Roe, Shufei Duan, Jinglan Zhang, 2014, Artificial Intelligence Review.

Acoustic component detection for automatic species recognition in environmental monitoring

Paul Roe, Michael Towsey, Jinglan Zhang, 2011, 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Listening to Nature: Acoustic monitoring of the environment

Paul Roe, Ian Williamson, Jiro Sumitomo, 2009 .

Using Reputation Management in Participatory Sensing for Data Classification

Paul Roe, Jinglan Zhang, HaoFan Yang, 2011, ANT/MobiWIS.

Monitoring the environment through acoustics using smartphone-based sensors and 3G networking

Paul Roe, Richard Mason, Jinglan Zhang, 2008, DCoSS 2008.

Timed Probabilistic Automaton: A Bridge between Raven and Song Scope for Automatic Species Recognition

Paul Roe, Michael W. Towsey, Jinglan Zhang, 2013, IAAI.

Acoustic Feature Extraction Using Perceptual Wavelet Packet Decomposition for Frog Call Classification

Paul Roe, Michael W. Towsey, Philip Eichinski, 2015, 2015 IEEE 11th International Conference on e-Science.

Visualization of Long-duration Acoustic Recordings of the Environment

Michael W. Towsey, Jinglan Zhang, Liang Zhang, 2014, ICCS.