Fuzzy Genetic Algorithms Based on Level Interval Algorithm. - Jinglan Zhang; Binh Pham 001; Yi-Ping Phoebe Chen (FUZZ-IEEE, 2001)

Modelling and Indexing Fuzzy Complex Shapes. - Jinglan Zhang; Binh Pham 001; Yi-Ping Phoebe Chen (VDB, 2002)

Integrating Text Retrieval and Image Retrieval in XML Document Searching. - Dian Tjondronegoro; Jinglan Zhang; Jinfeng Gu; Anthony N. Nguyen; Shlomo Geva (INEX, 2005)

Fusing Visual and Textual Retrieval Techniques to Effectively Search Large Collections of Wikipedia Images. - Andy Lau; Dian Tjondronegoro; Jinglan Zhang; Shlomo Geva; Yue Liu (INEX, 2006)

OpenCIS - Open Source GIS-based web community information system. - Daniel Caldeweyher; Jinglan Zhang; Binh Pham 001 (Int. J. Geogr. Inf. Sci., 2006)

A Shape Ontology Framework for Bird Classification. - Yue Liu; Jinglan Zhang; Dian Tjondronegoro; Shlomo Geva (DICTA, 2007)

3D Scene Annotation for Efficient Rendering on Mobile Devices. - Siak Chuan Tan; Binh Pham 001; Jinglan Zhang; On Wong (DICTA, 2007)

Acoustic sensor networks for environmental monitoring. - Jinhai Cai; Dominic Ee; Andy Lau; Richard Mason; Binh Pham 001; Paul Roe; Jinglan Zhang; Stuart Gage (SenSys, 2007)

Individual Tree Crown Delineation Techniques for Vegetation Management in Power Line Corridor. - Zhengrong Li; Ross Hayward; Jinglan Zhang; Yuee Liu (DICTA, 2008)

Towards an Acoustic Environmental Observatory. - Richard Mason; Paul Roe; Michael W. Towsey; Jinglan Zhang; Jennifer Gibson; Stuart Gage (eScience, 2008)

A collaborative framework for simultaneous and seamless 3D graphics manipulation. - Andrew Tan; Binh Pham 001; Jinglan Zhang; Ross Brown 001 (MoMM, 2008)

High-level concept annotation using ontology and probabilistic inference. - Yuee Liu; Jinglan Zhang; Zhengrong Li; Dian Tjondronegoro (ICIMCS, 2009)

Towards automatic tree crown detection and delineation in spectral feature space using PCNN and morphological reconstruction. - Zhengrong Li; Ross Hayward; Jinglan Zhang; Yuee Liu; Rodney A. Walker (ICIP, 2009)

Multi-edge decimation in multi-modal 3D collaborative applications. - Andrew Tan Siak Chuan; Jinglan Zhang (MoMM, 2009)

Dynamic lock synchronisation for collaborative 3D applications. - Siak Chuan Tan; Jinglan Zhang (MoMM, 2009)

Semantics-Based Web Service Discovery Using Information Retrieval Techniques. - Jun Hou; Jinglan Zhang; Richi Nayak; Aishwarya Bose (INEX, 2010)

Mid-Level Concept Learning with Visual Contextual Ontologies and Probabilistic Inference for Image Annotation. - Yuee Liu; Jinglan Zhang; Dian Tjondronegoro; Shlomo Geva; Zhengrong Li (MMM, 2010)

Towards automatic power line detection for a UAV surveillance system using pulse coupled neural filter and an improved Hough transform. - Zhengrong Li; Yuee Liu; Rodney A. Walker; Ross Hayward; Jinglan Zhang (Mach. Vis. Appl., 2010)

Large Scale Participatory Acoustic Sensor Data Analysis: Tools and Reputation Models to Enhance Effectiveness. - Anthony Truskinger; Hao-Fan Yang; Jason Wimmer; Jinglan Zhang; Ian Williamson; Paul Roe (eScience, 2011)

Using Reputation Management in Participatory Sensing for Data Classification. - Hao-Fan Yang; Jinglan Zhang; Paul Roe (ANT/MobiWIS, 2011)

Finding additional semantic entity information for search engines. - Jun Hou; Richi Nayak; Jinglan Zhang (ADCS, 2012)

Timed and probabilistic automata for automatic animal Call Recognition. - Shufei Duan; Jinglan Zhang; Paul Roe; Michael W. Towsey; Lawrence Buckingham (ICPR, 2012)

Using mobile technology and augmented reality to increase data reliability for environmental assessment. - Chin Loong Law; Paul Roe; Jinglan Zhang (OZCHI, 2012)

Managing and Analysing Big Audio Data for Environmental Monitoring. - Jinglan Zhang; Kai Huang; Mark Cottman-Fields; Anthony Truskinger; Paul Roe; Shufei Duan; Xueyan Dong; Michael W. Towsey; Jason Wimmer (CSE, 2013)

A Novel Representation of Bioacoustic Events for Content-Based Search in Field Audio Data. - Xueyan Dong; Michael W. Towsey; Jinglan Zhang; Jasmine Banks; Paul Roe (DICTA, 2013)

Timed Probabilistic Automaton: A Bridge between Raven and Song Scope for Automatic Species Recognition. - Shufei Duan; Jinglan Zhang; Paul Roe; Jason Wimmer; Xueyan Dong; Anthony Truskinger; Michael W. Towsey (IAAI, 2013)

Tracking-based moving object detection. - Hao Shen; Shuxiao Li; Jinglan Zhang; Hongxing Chang (ICIP, 2013)

Reconciling Folksonomic Tagging with Taxa for Bioacoustic Annotations. - Anthony Truskinger; Ian Newmarch; Mark Cottman-Fields; Jason Wimmer; Michael W. Towsey; Jinglan Zhang; Paul Roe (WISE (1), 2013)

Future Web Growth and its Consequences for Web Search Architectures. - Andrew Trotman; Jinglan Zhang (CoRR, 2013)

Reputation modelling in Citizen Science for environmental acoustic data analysis. - Hao-Fan Yang; Jinglan Zhang; Paul Roe (Soc. Netw. Anal. Min., 2013)

Towards Universal Search Design. - Laurianne Sitbon; Lauren Fell; David Poxon; Jinglan Zhang; Shlomo Geva (ADCS, 2014)

Visualization of Long-duration Acoustic Recordings of the Environment. - Michael W. Towsey; Liang Zhang 028; Mark Cottman-Fields; Jason Wimmer; Jinglan Zhang; Paul Roe (ICCS, 2014)

Scale Adaptive Tracking Using Mean Shift and Efficient Feature Matching. - Yi Song 008; Shuxiao Li; Jinglan Zhang; Hongxing Chang (ICPR, 2014)

Corner Detection in Images Under Different Noise Levels. - Yi Song 008; Yiping Shen; Shuxiao Li; Chengfei Zhu; Jinglan Zhang; Hongxing Chang (ICPR, 2014)

Rove n Rave™ development: a partnership between the university and the disability service provider to build a social website for people with an intellectual disability. - Yuanying Xu; Jinglan Zhang; Roman Yagovkin; Simone Maniero; Phurpa Wangchunk; Stewart Koplick (OZCHI, 2014)

Detection of Rain in Acoustic Recordings of the Environment. - Meriem Ferroudj; Anthony Truskinger; Michael W. Towsey; Liang Zhang 028; Jinglan Zhang; Paul Roe (PRICAI, 2014)

A survey of tagging techniques for music, speech and environmental sound. - Shufei Duan; Jinglan Zhang; Paul Roe; Michael W. Towsey (Artif. Intell. Rev., 2014)

Aspect-Based Opinion Extraction from Customer reviews. - Amani K. Samha; Yuefeng Li; Jinglan Zhang (CoRR, 2014)

Acoustic features for multi-level classification of Australian frogs. - Jie Xie 001; Jinglan Zhang; Paul Roe (ICICS, 2015)

Aspect-Based Opinion Mining from Product Reviews Using Conditional Random Fields. - Amani K. Samha; Yuefeng Li; Jinglan Zhang (AusDM, 2015)

Exploring Physical Activities in an Employer-Sponsored Health Program. - Dhaval Vyas; Zachary Fitz-Walter; Erica Mealy; Alessandro Soro; Jinglan Zhang; Margot Brereton (CHI Extended Abstracts, 2015)

Birdcall Retrieval from Environmental Acoustic Recordings Using Image Processing. - Xueyan Dong; Philip Eichinski; Michael W. Towsey; Jinglan Zhang; Paul Roe (DICTA, 2015)

Assistive classification for improving the efficiency of avian species richness surveys. - Liang Zhang 028; Michael W. Towsey; Philip Eichinski; Jinglan Zhang; Paul Roe (DSAA, 2015)

Acoustic Feature Extraction Using Perceptual Wavelet Packet Decomposition for Frog Call Classification. - Jie Xie 001; Michael W. Towsey; Philip Eichinski; Jinglan Zhang; Paul Roe (e-Science, 2015)

Compact Features for Birdcall Retrieval from Environmental Acoustic Recordings. - Xueyan Dong; Michael W. Towsey; Jinglan Zhang; Paul Roe (ICDM Workshops, 2015)

Computer-Assisted Sampling of Acoustic Data for More Efficient Determination of Bird Species Richness. - Liang Zhang 028; Michael W. Towsey; Jinglan Zhang; Paul Roe (ICDM Workshops, 2015)

Application of image processing techniques for frog call classification. - Jie Xie 001; Michael Towsey; Jinglan Zhang; Xueyan Dong; Paul Roe (ICIP, 2015)

Acoustic classification of Australian anurans using syllable features. - Jie Xie 001; Michael W. Towsey; Anthony Truskinger; Philip Eichinski; Jinglan Zhang; Paul Roe (ISSNIP, 2015)

Detection of anuran calling activity in long field recordings for bio-acoustic monitoring. - Jie Xie 001; Michael W. Towsey; Kiyomi Yasumiba; Jinglan Zhang; Paul Roe (ISSNIP, 2015)

Image Processing and Classification Procedure for the Analysis of Australian Frog Vocalisations. - Jie Xie 001; Michael W. Towsey; Jinglan Zhang; Paul Roe (EMR@ICMR, 2015)

Generalised features for bird vocalisation retrieval in acoustic recordings. - Xueyan Dong; Jie Xie 001; Michael W. Towsey; Jinglan Zhang; Paul Roe (MMSP, 2015)

Similarity-based birdcall retrieval from environmental audio. - Xueyan Dong; Michael Towsey; Anthony Truskinger; Mark Cottman-Fields; Jinglan Zhang; Paul Roe (Ecol. Informatics, 2015)

Challenges in Designing Visual Analytics for Environmental Acoustic Monitoring. - Tshering Dema; Margot Brereton; Paul Roe; Jinglan Zhang; Michael W. Towsey (Conference on Designing Interactive Systems (Companion Volume), 2016)

Handle the Way: Enhancing Web Accessibility for People with Disability. - Jinglan Zhang; Peter Purgathofer; Margot Brereton; Geraldine Fitzpatrick; Florian Güldenpfennig (Conference on Designing Interactive Systems (Companion Volume), 2016)

Detecting Frog Calling Activity Based on Acoustic Event Detection and Multi-label Learning. - Jie Xie 001; Michael W. Towsey; Jinglan Zhang; Paul Roe (ICCS, 2016)

Multiple-Instance Multiple-Label Learning for the Classification of Frog Calls with Acoustic Event Detection. - Jie Xie 001; Michael W. Towsey; Liang Zhang 028; Kiyomi Yasumiba; Lin Schwarzkopf; Jinglan Zhang; Paul Roe (ICISP, 2016)

Feature Extraction Based on Bandpass Filtering for Frog Call Classification. - Jie Xie 001; Michael W. Towsey; Liang Zhang 028; Jinglan Zhang; Paul Roe (ICISP, 2016)

Adaptive frequency scaled wavelet packet decomposition for frog call classification. - Jie Xie 001; Michael Towsey; Jinglan Zhang; Paul Roe (Ecol. Informatics, 2016)

Classifying and ranking audio clips to support bird species richness surveys. - Liang Zhang 028; Michael W. Towsey; Jinglan Zhang; Paul Roe (Ecol. Informatics, 2016)

An Investigation into Acoustic Analysis Methods for Endangered Species Monitoring: A Case of Monitoring the Critically Endangered White-Bellied Heron in Bhutan. - Tshering Dema; Liang Zhang 028; Michael Towsey; Anthony Truskinger; Sherub Sherub; Kinley; Jinglan Zhang; Margot Brereton; Paul Roe (eScience, 2017)

Multi-Label Classification of Frog Species via Deep Learning. - Jie Xie 001; Rui Zeng Changliang Xu; Jinglan Zhang; Paul Roe (eScience, 2017)

Enhancing Access to eLearning for People with Intellectual Disability: Integrating Usability with Learning. - Theja Kuruppu Arachchi; Laurianne Sitbon; Jinglan Zhang (INTERACT (2), 2017)

Long-term monitoring of cane-toads using acoustic sensors: poster abstract. - Jie Xie 001; Jinglan Zhang; Michael W. Towsey; Paul Roe (IPSN, 2017)

Rebuilding social capital: engaging newly arrived refugees in participatory design. - Asam Almohamed; Dhaval Vyas; Jinglan Zhang (OZCHI, 2017)

Collaborative Exploration and Sensemaking of Big Environmental Sound Data. - Tshering Dema; Margot Brereton; Jessica L. Cappadonna; Paul Roe; Anthony Truskinger; Jinglan Zhang (Comput. Support. Cooperative Work., 2017)

Animal Call Recognition with Acoustic Indices: Little Spotted Kiwi as a Case Study. - Hongxiao Gan; Michael Towsey; Yuefeng Li; Jinglan Zhang; Paul Roe (DICTA, 2018)

Three-Dimensional Head Pose Estimation Using a Stereo Camera Arrangement. - Faleh Alqahtani; Jasmine Banks; Vinod Chandran; Jinglan Zhang (ICMVA, 2018)

Boosting Convolutional Neural Networks Performance Based on FPGA Accelerator. - Omran Al-Shamma; Mohammed Abdulraheem Fadhel; Rabab Alaa Hameed; Laith Alzubaidi; Jinglan Zhang (ISDA (1), 2018)

Classification of Red Blood Cells in Sickle Cell Anemia Using Deep Convolutional Neural Network. - Laith Alzubaidi; Omran Al-Shamma; Mohammed A. Fadhel; Laith Farhan; Jinglan Zhang (ISDA (1), 2018)

Robust and Efficient Approach to Diagnose Sickle Cell Anemia in Blood. - Laith Alzubaidi; Mohammed A. Fadhel; Omran Al-Shamma; Jinglan Zhang (ISDA (1), 2018)

Designing for refugees: insights from design workshop. - Asam Almohamed; Dhaval Vyas; Jinglan Zhang (OZCHI, 2018)

Ecosound-explorer: a method for large scale interactive visual navigation of environmental acoustic data. - Benjamin Rowe; Jinglan Zhang; Michael Towsey; Paul Roe; Margot Brereton (OZCHI, 2018)

Frog call classification: a survey. - Jie Xie 001; Michael Towsey; Jinglan Zhang; Paul Roe (Artif. Intell. Rev., 2018)

Design participation lab. - Margot Brereton; Alessandro Soro; Laurianne Sitbon; Paul Roe; Peta Wyeth; Bernd Ploderer; Dhaval Vyas; Jinglan Zhang; Aloha May Hufana Ambe; Cara Wilson; Tshering Dema; Jennyfer Lawrence Taylor; et al. (Interactions, 2018)

An Interactive Visualization Tool for Sensor-based Physical Activity Data Analysis. - Chuxuan Tong; Jinglan Zhang; Alok Kumar Chowdhury; Stewart G. Trost (ACSW, 2019)

Multi-class Breast Cancer Classification by a Novel Two-Branch Deep Convolutional Neural Network Architecture. - Laith Alzubaidi; Reem Ibrahim Hasan; Fouad H. Awad; Mohammed A. Fadhel; Omran Al-Shamma; Jinglan Zhang (DeSE, 2019)

Recognition of Frog Chorusing with Acoustic Indices and Machine Learning. - Hongxiao Gan; Jinglan Zhang; Michael Towsey; Anthony Truskinger; Debra Stark; Berndt van Rensburg; Yuefeng Li; Paul Roe (eScience, 2019)

Extended Reality for Refugees: Pragmatic Ideas through Ethnographic Research with Refugees in Australia. - Asam Almohamed; Arindam Dey 001; Jinglan Zhang; Dhaval Vyas (ISMAR Adjunct, 2019)

An Interactive Method for Visualising Physical Activity in Parks. - Benjamin Rowe; Jinglan Zhang; Tracy Washington; Debra Cushing; Stewart Trost (IV (2), 2019)

Semi-supervised text classification with deep convolutional neural network using feature fusion approach. - Parvaneh Shayegh; Yuefeng Li; Jinglan Zhang; Qing Zhang 001 (WI, 2019)

Prediction of Relative Physical Activity Intensity Using Multimodal Sensing of Physiological Data. - Alok Kumar Chowdhury; Dian Tjondronegoro; Vinod Chandran; Jinglan Zhang; Stewart G. Trost (Sensors, 2019)

Three-Way Framework Using Fuzzy Concepts and Semantic Rules in Opinion Classification. - L. D. C. S. Subhashini; Yuefeng Li; Jinglan Zhang; Ajantha S. Atukorale (Australasian Conference on Artificial Intelligence, 2020)

A Framework for Information Accessibility in Large Video Repositories. - Laurianne Sitbon; Benoît Favre; Jinglan Zhang; Andrew A. Bayor; Stewart Koplick; Filip Bircanin; Margot Brereton (CHIIR, 2020)

Magic Machines for Refugees. - Asam Almohamed; Jinglan Zhang; Dhaval Vyas (COMPASS, 2020)

Integration of Fuzzy and Deep Learning in Three-Way Decisions. - L. D. C. S. Subhashini; Yuefeng Li; Jinglan Zhang; Ajantha S. Atukorale (ICDM (Workshops), 2020)

Investigation of CNN-based models for Frog Calling Activity Detection. - Jie Xie 001; Kai Hu 005; Harry Hines; Jinglan Zhang; Ya Guo 001; Jinghu Yu (ICSPCC, 2020)

Integration of Fuzzy and LSTM in Three-Way Decisions. - L. D. C. S. Subhashini; Yuefeng Li; Jinglan Zhang; Ajantha S. Atukorale (WI/IAT, 2020)

3D Face Tracking Using Stereo Cameras: A Review. - Faleh Alqahtani; Jasmine Banks; Vinod Chandran; Jinglan Zhang (IEEE Access, 2020)

Statistical Distribution Exploration of Tongue Movement for Pathological Articulation on Word/Sentence Level. - Shufei Duan; Xueying Zhang; Mimi Yan; Jinglan Zhang (IEEE Access, 2020)

Data selection in frog chorusing recognition with acoustic indices. - Hongxiao Gan; Jinglan Zhang; Michael Towsey; Anthony Truskinger; Debra Stark; Berndt van Rensburg; Yuefeng Li; Paul Roe (Ecol. Informatics, 2020)

An Empirical Study on Response to Online Customer Reviews and E-Commerce Sales: From the Mobile Information System Perspective. - Gang Liu; Shaoqing Fei; Zi-Chun Yan; Chia-Huei Wu; Sang-Bing Tsai; Jinglan Zhang (Mob. Inf. Syst., 2020)

DFU_QUTNet: diabetic foot ulcer classification using novel deep convolutional neural network. - Laith Alzubaidi; Mohammed A. Fadhel; Sameer Razzaq Oleiwi; Omran Al-Shamma; Jinglan Zhang (Multim. Tools Appl., 2020)

More than step count: designing a workplace-based activity tracking system. - Dhaval Vyas; Thilina Halloluwa; Nikolaj Heinzler; Jinglan Zhang (Pers. Ubiquitous Comput., 2020)

Investigation of Acoustic and Visual Features for Frog Call Classification. - Jie Xie 001; Michael Towsey; Jinglan Zhang; Paul Roe (J. Signal Process. Syst., 2020)

Summary and Prejudice: Online Reading Preferences of Users with Intellectual Disability. - Saminda Sundeepa Balasuriya; Laurianne Sitbon; Jinglan Zhang; Khairi Anuar (CHIIR, 2021)

Analyzing Big Environmental Audio with Frequency Preserving Autoencoders. - Benjamin Rowe; Philip Eichinski; Jinglan Zhang; Paul Roe (e-Science, 2021)

LIFT: An eLearning Introduction to Web Search for Young Adults with Intellectual Disability in Sri Lanka. - Theja Kuruppu Arachchi; Laurianne Sitbon; Jinglan Zhang; Ruwan Gamage; Priyantha Hewagamage (INTERACT (1), 2021)

Mining and classifying customer reviews: a survey. - L. D. C. S. Subhashini; Yuefeng Li; Jinglan Zhang; Ajantha S. Atukorale; Yutong Wu 001 (Artif. Intell. Rev., 2021)

Bioacoustic signal denoising: a review. - Jie Xie 001; Juan Gabriel Colonna; Jinglan Zhang (Artif. Intell. Rev., 2021)

MedNet: Pre-trained Convolutional Neural Network Model for the Medical Imaging Tasks. - Laith Alzubaidi; José Santamaría; Mohamed Manoufali; Beadaa J. Mohammed; Mohammed A. Fadhel; Jinglan Zhang; Ali H. Al-Timemy; Omran Al-Shamma; Ye Duan (CoRR, 2021)

Acoustic auto-encoders for biodiversity assessment. - Benjamin Rowe; Philip Eichinski; Jinglan Zhang; Paul Roe (Ecol. Informatics, 2021)

A novel frog chorusing recognition method with acoustic indices and machine learning. - Hongxiao Gan; Jinglan Zhang; Michael Towsey; Anthony Truskinger; Debra Stark; Berndt van Rensburg; Yuefeng Li; Paul Roe (Future Gener. Comput. Syst., 2021)

Automated granule discovery in continuous data for feature selection. - Mahawaga Arachchige Nayomi Dulanjala Sewwandi; Yuefeng Li; Jinglan Zhang (Inf. Sci., 2021)

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. - Laith Alzubaidi; Jinglan Zhang; Amjad J. Humaidi; Ayad Q. Al-Dujaili; Ye Duan; Omran Al-Shamma; José Santamaría; Mohammed A. Fadhel; Muthana Al-Amidie; Laith Farhan (J. Big Data, 2021)

Deepening into the suitability of using pre-trained models of ImageNet against a lightweight convolutional neural network in medical imaging: an experimental study. - Laith Alzubaidi; Ye Duan; Ayad Q. Al-Dujaili; Ibraheem Kasim Ibraheem; Ahmed H. Alkenani; José Santamaría; Mohammed A. Fadhel; Omran Al-Shamma; Jinglan Zhang (PeerJ Comput. Sci., 2021)

Enhancing Internet Search Abilities for People with Intellectual Disabilities in Sri Lanka. - Theja Kuruppu Arachchi; Laurianne Sitbon; Jinglan Zhang; Ruwan Gamage; K. Priyantha Hewagamage (ACM Trans. Access. Comput., 2021)

Integration of fuzzy logic and a convolutional neural network in three-way decision-making. - L. D. C. S. Subhashini; Yuefeng Li; Jinglan Zhang; Ajantha S. Atukorale (Expert Syst. Appl., 2022)

Assessing the effectiveness of a three-way decision-making framework with multiple features in simulating human judgement of opinion classification. - L. D. C. S. Subhashini; Yuefeng Li; Jinglan Zhang; Ajantha S. Atukorale (Inf. Process. Manag., 2022)

Integration of semantic patterns and fuzzy concepts to reduce the boundary region in three-way decision-making. - L. D. C. S. Subhashini; Yuefeng Li; Jinglan Zhang; Ajantha S. Atukorale (Inf. Sci., 2022)

Robust application of new deep learning tools: an experimental study in medical imaging. - Laith Alzubaidi; Mohammed A. Fadhel; Omran Al-Shamma; Jinglan Zhang; José Santamaría; Ye Duan (Multim. Tools Appl., 2022)

Using Autoencoders to Visualize Big Environmental Audio. - Benjamin Rowe; Philip Eichinski; Jinglan Zhang; Paul Roe (IV, 2023)

Towards Risk-Free Trustworthy Artificial Intelligence: Significance and Requirements. - Laith Alzubaidi; Aiman Al-Sabaawi; Jinshuai Bai; Ammar Dukhan; Ahmed H. Alkenani; Ahmed Al-Asadi; Haider A. Alwzwazy; Mohamed Manoufali; Mohammed A. Fadhel; Ahmed Shihab Albahri; Catarina Moreira; Chun Ouyang 001; et al. (Int. J. Intell. Syst., 2023)

Web search to access health information by adults with intellectual disability. - Theja Kuruppu Arachchi; Laurianne Sitbon; Jinglan Zhang; Stewart Koplick; Maria Hoogstrate; Margot Brereton (Online Inf. Rev., 2023)

Instance hardness and multivariate Gaussian distribution-based oversampling technique for imbalance classification. - Jie Xie 001; Mingying Zhu; Kai Hu 005; Jinglan Zhang (Pattern Anal. Appl., 2023)

A class-specific feature selection and classification approach using neighborhood rough set and K-nearest neighbor theories. - Mahawaga Arachchige Nayomi Dulanjala Sewwandi; Yuefeng Li; Jinglan Zhang (Appl. Soft Comput., 2023)

Inverse Design of Plasmonic Nanohole Arrays by Combing Spectra and Structural Color in Deep Learning. - Chun Liu; Jinglan Zhang; Yiping Zhao; Bin Ai (Adv. Intell. Syst., 2023)

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications. - Laith Alzubaidi; Jinshuai Bai; Aiman Al-Sabaawi; José Santamaría; Ahmed Shihab Albahri; Bashar Sami Nayyef Al-dabbagh; Mohammed A. Fadhel; Mohamed Manoufali; Jinglan Zhang; Ali H. Al-Timemy; Ye Duan; Amjed Abdullah; et al. (J. Big Data, 2023)

Refined Sentiment Analysis Using POS Features and LDA: Mitigating Polysemy and Sparsity with BERT Contextual Embedding. - Thennakoon Mudiyanselage Anupama Udayangani Gunathilaka; Yuefeng Li; Jinglan Zhang; Prabhashrini Dhanushika Manage (ICONIP (6), 2024)

An Experimental Comparison of Transfer Learning against Self-supervised Learning. - Zehui Zhao; Laith Alzubaidi; Jinglan Zhang; Ye Duan; Usman Naseem; Yuantong Gu (CoRR, 2024)

Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging. - Zehui Zhao; Laith Alzubaidi; Jinglan Zhang; Ye Duan; Usman Naseem; Yuantong Gu (CoRR, 2024)

A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations. - Zehui Zhao; Laith Alzubaidi; Jinglan Zhang; Ye Duan; Yuantong Gu (Expert Syst. Appl., 2024)

Generalisable deep Learning framework to overcome catastrophic forgetting. - Zaenab Alammar; Laith Alzubaidi; Jinglan Zhang; Yuefeng Li; Ashish Gupta; Yuantong Gu (Intell. Syst. Appl., 2024)

Granule-specific feature selection for continuous data classification using neighborhood rough sets. - Mahawaga Arachchige Nayomi Dulanjala Sewwandi; Yuefeng Li; Jinglan Zhang (Expert Syst. Appl., 2024)

k-outlier removal based on contextual label information and cluster purity for continuous data classification. - Mahawaga Arachchige Nayomi Dulanjala Sewwandi; Yuefeng Li; Jinglan Zhang (Expert Syst. Appl., 2024)

Fine-Grained Feature Extraction in Key Sentence Selection for Explainable Sentiment Classification Using BERT and CNN. - Thennakoon Mudiyanselage Anupama Udayangani Gunathilaka; Jinglan Zhang; Yuefeng Li (IEEE Access, 2025)

A multi-scale information fusion medical image segmentation network based on convolutional kernel coupled updata mechanism. - Zhihao Lu; Jinglan Zhang; Biao Cai; Yuanyuan Wu 001; Dongfen Li; Mingzhe Liu; Lan Zhang (Comput. Biol. Medicine, 2025)

Benchmarking multi-omics integrative clustering methods for subtype identification in colorectal cancer. - Shuai Zhang; Jiali Lv; Jinglan Zhang; Zhe Fan; Bingbing Gu; Bingbing Fan; Chunxia Li; Cheng Wang; Tao Zhang 127 (Comput. Methods Programs Biomed., 2025)

Addressing sparse data challenges in recommendation systems: A systematic review of rating estimation using sparse rating data and profile enrichment techniques. - Thennakoon Mudiyanselage Anupama Udayangani Gunathilaka; Prabhashrini Dhanushika Manage; Jinglan Zhang; Yuefeng Li; Wayne Kelly (Intell. Syst. Appl., 2025)

Investigation of attention mechanism for speech command recognition. - Jie Xie 001; Mingying Zhu; Kai Hu 005; Jinglan Zhang; Ya Guo 001 (Multim. Tools Appl., 2025)