Predict market movements based on the sentiment of financial video news sites

Conference paper

Alzazah, F., Gao, X. and Cheng, X. 2022. Predict market movements based on the sentiment of financial video news sites. IEEE 16th International Conference on Semantic Computing. Laguna Hills, CA, USA 26 - 28 Jan 2022 IEEE. https://doi.org/10.1109/icsc52841.2022.00022
TypeConference paper
TitlePredict market movements based on the sentiment of financial video news sites
AuthorsAlzazah, F., Gao, X. and Cheng, X.
Abstract

Due to market volatility, forecasting stock market trend is one of the most complicated tasks. There is a heated debate about the effectiveness of predicting market movement based on public sentiments expressed in written news, whether through social media, web pages, or financial news. However, past researches ignore a crucial source of knowledge, which is videos news, that is typically introduced by market specialists. This research examined the reliability of using the sentiment of video news sites to forecast the stock price. To determine the strength of the causal relationship between stock market prices and video sentiments, we applied Granger causality analysis and Pearson correlation coefficient tests. We also investigated the use of TextBlob API versus the efficiency of Google Cloud Natural Language API to find sentiment polarity scores for video news. Various models were evaluated for Sentiment Analysis of S&P 500 stock using LR, SVM, LSTM, and CNN models. Finally, we utilized the most effective sentiment analysis tool to train our ML classification model. This research is unique because it identifies and tests the question. Can we build an effective prediction model based on video news sentiment or can we add video news sentiment as a new feature to our future prediction model? The experimental findings demonstrate that there is a causal connection between video news sentiment and stock market fluctuation. The findings also revealed that when using the Google Cloud Natural Language API for sentiment analysis, the model showed a correlation between the video news and the company's price movements.

Keywordsmarket prediction; video news; machine learning; causality test
Sustainable Development Goals11 Sustainable cities and communities
Middlesex University ThemeSustainability
ConferenceIEEE 16th International Conference on Semantic Computing
Proceedings Title2022 IEEE 16th International Conference on Semantic Computing (ICSC)
SeriesIEEE International Conference on Semantic Computing
ISSN2325-6516
ISBN
Electronic9781665434188
Paperback9781665434195
PublisherIEEE
Publication dates
Online23 Mar 2022
PrintJan 2022
Publication process dates
Accepted08 Dec 2021
Deposited06 May 2026
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1109/icsc52841.2022.00022
Scopus EID2-s2.0-85127547675
Web of Science identifierWOS:000835706300014
Web address (URL) of conference proceedingshttps://doi.org/10.1109/ICSC52841.2022
LanguageEnglish
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Gold-viral particle identification by deep learning in wide-field photon scattering parametric images
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CroLSSim: Cross‐language software similarity detector using hybrid approach of LSA‐based AST‐MDrep features and CNN‐LSTM model
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Editorial: Security of cloud service for the manufacturing industry
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Signal denoising of viral particle in wide-field photon scattering parametric images using deep learning
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MobiScan: an enhanced invisible screen‐camera communication system for IoT applications
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Secure smart contracts for cloud-based manufacturing using Ethereum blockchain
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Artificial intelligence in endoscopy: the challenges and future directions
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Multi- class classification of breast cancer abnormalities using Deep Convolutional Neural Network (CNN)
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COVID-CBR: a deep learning architecture featuring case-based reasoning for classification of COVID-19 from chest x-ray images
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Evaluation of GAN architectures for visualisation of HPV viruses from microscopic images
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Characterization of deep sub-wavelength nanowells by imaging the photon state scattering spectra
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Power grid-oriented cascading failure vulnerability identifying method based on wireless sensors
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Task bundling in worker-centric mobile crowdsensing
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Secure and energy-efficient smart building architecture with emerging technology IoT
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Fuzzy decision trees embedded with evolutionary fuzzy clustering for locating users using wireless signal strength in an indoor environment
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[Retracted] PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation
Wang, S., Zhang, Y., Cheng, X., Zhang, X. and Zhang, Y. 2021. [Retracted] PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation. Computational and Mathematical Methods in Medicine. 2021, pp. 1-18. https://doi.org/10.1155/2021/6633755
Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
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ShadowFPE: new encrypted web application solution based on shadow DOM
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Learning context-aware outfit recommendation
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Renyi’s entropy based multilevel thresholding using a novel meta-heuristics algorithm
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XOR multiplexing technique for nanocomputers
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Adaptive dynamic disturbance strategy for differential evolution algorithm
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Hybridization of cognitive computing for food services
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Facial landmark detection via attention-adaptive deep network
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Annual and non-monsoon rainfall prediction modelling using SVR-MLP: an empirical study from Odisha
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A sparse Bayesian learning method for structural equation model-based gene regulatory network inference
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Transfer learning for endoscopy disease detection and segmentation with mask-RCNN benchmark architecture
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An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
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An enhanced deep learning architecture for classification of Tuberculosis types from CT lung images
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Reliability analysis of an air traffic network: from network structure to transport function
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Fine-grained action recognition by motion saliency and mid-level patches
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Case-based reasoning of a deep learning network for prediction of early stage of oesophageal cancer
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A game theoretic analysis of resource mining in blockchain
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Unbalanced private set intersection cardinality protocol with low communication cost
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Imbalanced big data classification based on virtual reality in cloud computing
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Analysis of tuberculosis severity levels from CT pulmonary images based on enhanced residual deep learning architecture
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Micro-distortion detection of lidar scanning signals based on geometric analysis
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Verifying cryptographic protocols
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Verifying security protocols by knowledge analysis
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A security design for cloud computing: an implementation of an on premises authentication with Kerberos and IPSec within a network
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Comparative experiments on resource discovery in P2P networks
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Finding sands in the eyes: vulnerabilities discovery in IoT with EUFuzzer on human machine interface
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Patch-based deep learning approaches for artefact detection of endoscopic images
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Behavior modelling and individual recognition of sonar transmitter for secure communication in UASNs
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Vulnerabilities and limitations of MQTT protocol used between IoT devices
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Cloud resource prediction model based on triple exponential smoothing method and temporal convolutional network
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An authentication scheme to defend against UDP DrDoS attacks in 5G networks
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Incremental association rule mining based on matrix compression for edge computing
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Towards real-time detection of squamous pre-cancers from oesophageal endoscopic videos
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Introduction of key problems in long-distance learning and training
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Data provenance with retention of reference relations
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Platform of quality evaluation system for multimedia video communication based NS2
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Research on trust model in container-based cloud service
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Analysing TB severity levels with an enhanced deep residual learning– depth-resnet
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Introduction of recent advanced hybrid information processing
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Accurate Sybil attack detection based on fine-grained physical channel information
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Channel state information-based detection of Sybil attacks in wireless networks
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DivORAM: Towards a practical oblivious RAM with variable block size
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M-SSE: an effective searchable symmetric encryption with enhanced security for mobile devices
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A distributed anomaly detection system for in-vehicle network using HTM
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Prediction of multidrug-resistant TB from CT pulmonary images based on deep learning techniques
Gao, X. and Qian, Y. 2018. Prediction of multidrug-resistant TB from CT pulmonary images based on deep learning techniques. Molecular Pharmaceutics. 15 (10), pp. 4326-4335. https://doi.org/10.1021/acs.molpharmaceut.7b00875
Crime pattern recognition based on high-performance computing
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Segmentation of brain lesions from CT images based on deep learning techniques
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A novel fast fractal image compression method based on distance clustering in high dimensional sphere surface
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Editorial: Recent advances of content understanding in image and multimedia [Editorial]
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Application of deep learning neural network for classification of TB lung CT images based on patches
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A fused deep learning architecture for viewpoint classification of echocardiography
Gao, X., Li, W., Loomes, M. and Wang, L. 2017. A fused deep learning architecture for viewpoint classification of echocardiography. Information Fusion. 36, pp. 103-113. https://doi.org/10.1016/j.inffus.2016.11.007
Classification of CT brain images based on deep learning networks
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Degradation and encryption for outsourced PNG images in cloud storage
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Trust-Driven and PSO-SFLA based job scheduling algorithm on Cloud
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A deep learning based approach to classification of CT brain images
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A new approach to image enhancement for the visually impaired
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Advancing ambient assisted living with caution
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Evaluation of colour appearances displaying on smartphones
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Network coding and coding-aware scheduling for multicast in wireless networks
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The application of KAZE features to the classification echocardiogram videos
Li, W., Qian, Y., Loomes, M. and Gao, X. 2015. The application of KAZE features to the classification echocardiogram videos. First International Workshop Multimodal Retrieval in the Medical Domain (MRMD 2015). Vienna, Austria 29 Mar 2015 Springer. pp. 61-72 https://doi.org/10.1007/978-3-319-24471-6_6
Modelling of chromatic contrast for retrieval of wallpaper images
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Numeric characteristics of generalized M-set with its asymptote
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Local semantic indexing for resource discovery on overlay network using mobile agents
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Feature-wise representation for both still and motion 3D medical images
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Cardiac motion reconstruction using LKT algorithm from 2D and 3D echocardiography
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Fractal property of generalized M-set with rational number exponent
Liu, S., Cheng, X., Lan, C., Fu, W., Zhou, J., Li, Q. and Gao, G. 2013. Fractal property of generalized M-set with rational number exponent. Applied Mathematics and Computation. 220, pp. 668-675. https://doi.org/10.1016/j.amc.2013.06.096
Mechanical verification of cryptographic protocols
Cheng, X., Ma, X., Huang, S. and Cheng, M. 2010. Mechanical verification of cryptographic protocols. Network Security. https://doi.org/10.1007/978-0-387-73821-5_5
DNSsec in Isabelle – replay attack and origin authentication
Kammueller, F., Kirsal-Ever, Y. and Cheng, X. 2013. DNSsec in Isabelle – replay attack and origin authentication. SMC 2013: IEEE International Conference on Systems, Man, and Cybernetics. Manchester, UK 13 - 16 Oct 2013 IEEE. pp. 4772-4777 https://doi.org/10.1109/SMC.2013.812
The synergy of 3D SIFT and sparse codes for classification of viewpoints from echocardiogram videos
Qian, Y., Wang, L., Wang, C. and Gao, X. 2013. The synergy of 3D SIFT and sparse codes for classification of viewpoints from echocardiogram videos. Greenspan, H., Müller, H. and Syeda-Mahmood, T. (ed.) 3rd MICCAI International Workshop on Medical Content-Based Retrieval for Clinical Decision Support. Nice, France 01 - 01 Oct 2012 Berlin, Heidelberg Springer. https://doi.org/10.1007/978-3-642-36678-9_7
3D CBIR with sparse coding for image-guided neurosurgery
Qian, Y., Hui, R. and Gao, X. 2013. 3D CBIR with sparse coding for image-guided neurosurgery. Signal Processing. 93 (6), pp. 1673-1683. https://doi.org/10.1016/j.sigpro.2012.10.020
Bridging the abridged – the diffusion of Telemedicine in Europe and China
Gao, X., Loomes, M. and Comley, R. 2012. Bridging the abridged – the diffusion of Telemedicine in Europe and China. in: Rodrigues, J., Díez, I. and Abajo, B. (ed.) Telemedicine and e-health services, policies, and applications: avancements and developments USA IGI Global. pp. 451-495
The state of the art of medical imaging technology: from creation to archive and back.
Gao, X., Qian, Y. and Hui, R. 2011. The state of the art of medical imaging technology: from creation to archive and back. The Open Medical Informatics Journal. 5 (1-M8), pp. 73-85. https://doi.org/10.2174/1874431101105010073
A face recognition algorithm using a fusion method based on Adaboost Bidirectional 2DLDA
Wang, S., Li, W., Cheng, X., Wang, Y. and Jiang, Y. 2012. A face recognition algorithm using a fusion method based on Adaboost Bidirectional 2DLDA. Advances in Information Sciences and Service Sciences. 4 (23), pp. 181-188. https://doi.org/10.4156/AISS.vol4.issue23.23
A cooperative particle swarm optimizer with statistical variable interdependence learning
Sun, L., Yoshida, S., Cheng, X. and Liang, Y. 2012. A cooperative particle swarm optimizer with statistical variable interdependence learning. Information Sciences. 186 (1), pp. 20-39. https://doi.org/10.1016/j.ins.2011.09.033
Survey of grid resource monitoring and prediction strategies.
Hu, L., Cheng, X. and Che, X. 2010. Survey of grid resource monitoring and prediction strategies. International Journal of Intelligent Information Processing. 1 (2).
Efficient identity-based broadcast encryption without random oracles.
Hu, L., Liu, Z. and Cheng, X. 2010. Efficient identity-based broadcast encryption without random oracles. Journal of Computers. 5 (3), pp. 331-336.
Solving job shop scheduling problem using genetic algorithm with penalty function
Sun, L., Cheng, X. and Liang, Y. 2010. Solving job shop scheduling problem using genetic algorithm with penalty function. International Journal of Intelligent Information Processing. 1 (2), pp. 65-77.
Content-based petrieval of 3D medical images
Qian, Y., Gao, X., Loomes, M., Comley, R., Barn, B., Hui, R. and Tian, Z. 2011. Content-based petrieval of 3D medical images. Gemert-Pijnen, L., Ossebaard, H. and Hämäläinen, P. (ed.) eTELEMED 2011: The Third International Conference on eHealth, Telemedicine, and Social Medicine. Gosier, Guadeloupe, France 23 - 28 Feb 2011 International Academy, Research, and Industry Association (IARIA). pp. 7-12
Retrieval of 3D medical images via their texture features
Gao, X., Qian, Y., Loomes, M., Barn, B., Comley, R., Chapman, A., Rix, J., Hui, R. and Tian, Z. 2011. Retrieval of 3D medical images via their texture features. International Journal on Advances in Software. 4 (3&4), pp. 499-509.
The anatomy of teleneurosurgery in China
Gao, X. 2011. The anatomy of teleneurosurgery in China. International Journal of Telemedicine and Applications. 2011. https://doi.org/10.1155/2011/353405
Texture-based 3d image retrieval for medical applications
Gao, X., Qian, Y., Hui, R., Loomes, M., Comley, R., Barn, B., Chapman, A. and Rix, J. 2010. Texture-based 3d image retrieval for medical applications. Macedo, M. (ed.) IADIS International Conference e-Health 2010. Freiburg, Germany 29 - 31 Jul 2010 IADIS. pp. 101-108
Application of mesh morphing techniques in modelling 3D objects
Gao, X. and Hassan, M. 2010. Application of mesh morphing techniques in modelling 3D objects. Annual International Conference on Computer Games Multimedia and Allied Technology. Singapore 06 - 07 Apr 2010 Global Science and Technology Forum. https://doi.org/10.5176/978-981-08-5480-5_048
Bandwidth prediction based on nu-support vector regression and parallel hybrid particle swarm optimization
Cheng, X., Che, X. and Hu, L. 2010. Bandwidth prediction based on nu-support vector regression and parallel hybrid particle swarm optimization. International Journal of Computational Intelligence Systems. 3 (1), pp. 70-83. https://doi.org/10.2991/ijcis.2010.3.1.7
Resource discovery using mobile agents
Singh, M., Cheng, X. and Belavkin, R. 2010. Resource discovery using mobile agents. Frontier of Computer Science and Technology (FCST), 2010 Fifth International Conference. Changchun, Jilin Province 18 - 22 Aug 2010 IEEE. pp. 72 -77 https://doi.org/10.1109/FCST.2010.93
Road sign recognition by one fixation of space-variant sensor.
Gao, X., Shaposhnikov, D., Podladchikova, L., Golovan, A., Shevtsova, N. and Hong, K. 2002. Road sign recognition by one fixation of space-variant sensor. in: Gorodnich, D. and Zhang, H. (ed.) Vision Interface ’2002: proceedings Quebec Canadian Image Processing and Pattern Recognition Society.
Invariant recognition of traffic signs
Gao, X., Shaposhnikov, D., Podladchikova, L., Shevtsova, N. and Golovan, A. 2002. Invariant recognition of traffic signs.
Application of the behavioural model of vision for invariant recognition of facial and traffic sign images.
Gao, X., Shaposhnikov, D., Podladchikova, L., Golovan, A., Shevtsova, N., Gusakova, V. and Gizatdinova, Y. 2003. Application of the behavioural model of vision for invariant recognition of facial and traffic sign images. in: Gulaev, Y. and Galushkin, A. (ed.) Neurocomputers and their application. [In Russian] Moscow Radiotechnics.
Image classification based on the informative regions properties.
Gao, X., Podladchikova, L. and Shaposhnikov, D. 2003. Image classification based on the informative regions properties. in: Proceedings of PRIA-6-2002 : 6th International conference on pattern recognition and image analysis: new information technologies. MAIK Nauka/Interperiodica. pp. 439-441
Image retrieval through perceptual shape modelling.
Gao, X., Ren, M., Riley, K., Eakins, J. and Briggs, P. 2001. Image retrieval through perceptual shape modelling. London Council for Museums, Archives and Libraries.
Telemedicine in Europe.
Gao, X. 2006. Telemedicine in Europe. ChinaPacs. Beijing 14 - 16 Apr 2006
A new approach to traffic sign recognition
Gao, X., Podladchikova, L., Shaposhnikov, D., Hong, K., Batty, S., Golovan, A., Gusakova, V. and Shevtsova, N. 2002. A new approach to traffic sign recognition. in: Arabnia, H. and Mun, Y. (ed.) Proceedings of the international conference on imaging science, systems, and technology: CISST'02. Athens CSREA Press.
Road sign recognition by means of the behavioural model of vision.
Gao, X., Golovan, A., Hong, K., Podladchikova, L. and Shevtsova, N. 2002. Road sign recognition by means of the behavioural model of vision. in: Proceedings of the third all-Russian conference on neuroinformatics [In Russian]. Moscow. pp. 63-69
Colour reproduction for tele-imaging systems
Gao, X. and He, P. 2006. Colour reproduction for tele-imaging systems. Computerized medical imaging and graphics. 30 (6-7), pp. 79-84.
Measurement of vessel diameters on retinal for cardiovascular studies.
Gao, X., Bharath, A., Stanton, A., Hughes, A., Chapman, N. and Thom, S. 2001. Measurement of vessel diameters on retinal for cardiovascular studies. in: Claridge, E., Bamber, J. and Marlow, K. (ed.) Medical image understanding and analysis 2001. Medical Imaging Understanding and Analysis.
Extraction of sagittal symmetry planes from PET images.
Gao, X., Batty, S., Clark, J., Fryer, T., Blandford, A. and International Association of Science and Technology for Development. 2001. Extraction of sagittal symmetry planes from PET images. in: Hamza, M. (ed.) Visualization, imaging and image processing: proceedings of the IASTED international conference. Calgary IASTED. pp. 428-433
Towards archiving wallpaper images
Gao, X., Qian, Y., Tully, T. and Hendon, Z. 2004. Towards archiving wallpaper images. in: Hamza, M. (ed.) Proceedings of the seventh IASTED international conference on computer graphics and imaging. Anaheim Acta Press. pp. 305-309
High-precision detection of facial landmarks to estimate head motions based on vision models
Gao, X., Anishenko, S., Shaposhnikov, D., Podladchikova, L., Batty, S. and Clark, J. 2007. High-precision detection of facial landmarks to estimate head motions based on vision models. Journal of computer sciences. 3 (7), pp. 528-532.
Content-based retrieval of PET images via localised anatomical texture measurements and mean activity levels
Gao, X., Batty, S., Clark, J. and Fryer, T. 2006. Content-based retrieval of PET images via localised anatomical texture measurements and mean activity levels. Computerized medical imaging and graphics. 30 (6-7), pp. 70-74.
Extraction of physiological information from 3D PET brain images.
Gao, X., Batty, S., Fryer, T., Clark, J., Turkheimer, F. and International Association of Science and Technology for Development. 2003. Extraction of physiological information from 3D PET brain images. in: Villanueva, J. (ed.) Visualization imaging and image processing. Acta Press. pp. 401-405
Extraction of features from 3D PET images.
Gao, X., Batty, S., Clark, J. and Fryer, T. 2002. Extraction of features from 3D PET images. in: Houston, A. and Zwiggelar, R. (ed.) Medical image understanding and analysis 2002. BMVA.
Towards archiving 3D PET brain images based on their physiological and visual content.
Gao, X., Batty, S., Clark, J., Fryer, T. and Turkheimer, F. 2002. Towards archiving 3D PET brain images based on their physiological and visual content. International conference on diagnostic imaging and analysis. Shanghai, China 18 - 20 Aug 2002
A new approach to estimation of non-isotropic scale factors for correction of MR distortion
Gao, X., Hui, R., White, A.S. and Tian, Z. 2009. A new approach to estimation of non-isotropic scale factors for correction of MR distortion. International Journal of Computer Assisted Radiology and Surgery. 4 (s1), pp. s349-s350.
Resource discovery using mobile agents
Singh, M., Cheng, X. and He, X. 2009. Resource discovery using mobile agents. in: Tao, D., Xu, D. and Li, X. (ed.) Semantic Mining Technologies for Multimedia Databases. New York, USA Information Science Reference. pp. 419-448
New e-Learning system architecture based on knowledge engineering technology
Li, Y., Chen, Z., Huang, R. and Cheng, X. 2009. New e-Learning system architecture based on knowledge engineering technology. 2009 IEEE International Conference on Systems, Man and Cybernetics. San Antonio, TX, USA 11 - 14 Oct 2009 IEEE. pp. 5140-5144 https://doi.org/10.1109/ICSMC.2009.5346013
Ubiquitous e-learning System for dynamic mini-courseware assembling and delivering to mobile terminals
Li, Y., Guo, H., Gao, G., Huang, R. and Cheng, X. 2009. Ubiquitous e-learning System for dynamic mini-courseware assembling and delivering to mobile terminals. in: Kim, J., Delen, D., Jinsoo, P., Ko, F., Rui, C., Hyung, J., Lee, W. and Kou, G. (ed.) NCM 2009: Fifth International Joint Conference on INC, IMS, and IDC; [proceedings]. IEEE. pp. 1081-1086
A fast approach to segmentation of PET brain images for extraction of features
Gao, X. and Clark, J. 2008. A fast approach to segmentation of PET brain images for extraction of features. Gao, X., Loomes, M., Comley, R., Muller, H. and Luo, S. (ed.) International Conference on Medical Imaging and Informatics (MIMI 2007). Beijing, China 14 - 16 Aug 2007 Berlin, Heidelberg Springer. https://doi.org/10.1007/978-3-540-79490-5_25
Prototype system for semantic retrieval of neurological PET images
Batty, S., Clark, J., Fryer, T. and Gao, X. 2008. Prototype system for semantic retrieval of neurological PET images. Gao, X., Muller, H., Loomes, M., Comley, R. and Luo, S. (ed.) International Conference on Medical Imaging and Informatics (MIMI 2007). Beijing, China 14 - 16 Aug 2007 Berlin, Heidelberg Springer. https://doi.org/10.1007/978-3-540-79490-5_23
A motion correction system for brain tomography based on biologically motivated models
Anishenko, S., Osinov, V., Shaposhnikov, D., Podladchikova, L., Comley, R., Sukholentsev, K. and Gao, X. 2008. A motion correction system for brain tomography based on biologically motivated models. 7th IEEE International Conference on Cybernetic Intelligent Systems. London, UK 09 - 10 Sep 2008 IEEE. pp. 26-30 https://doi.org/10.1109/UKRICIS.2008.4798949
Colour vision model-based approach for segmentation of traffic signs
Gao, X., Hong, K., Passmore, P., Podladchikova, L. and Shaposhnikov, D. 2008. Colour vision model-based approach for segmentation of traffic signs. EURASIP Journal on Image and Video Processing. 2008. https://doi.org/10.1155/2008/386705
Toward a robust system to monitor the head motions during PET based on facial landmarks detection: a new approach
Anishenko, S., Osimov, V., Shaposhnikov, D., Podladchikova, L., Comley, R. and Gao, X. 2008. Toward a robust system to monitor the head motions during PET based on facial landmarks detection: a new approach. Puuronen, S., Pechenizkiy, M., Tsymbal, A. and Lee, D. (ed.) 21st IEEE International Symposium on Computer-Based Medical Systems. Jyvaskyla, Finland 17 - 19 Jun 2008 IEEE Computer Society. pp. 50-52 https://doi.org/10.1109/CBMS.2008.19
Detection of head motions using a vision model
Gao, X., Shaposhnikov, D., Podladchikova, L., Batty, S. and Clark, J. 2007. Detection of head motions using a vision model. Bashshur, R. (ed.) 3rd IASTED International Conference on Telehealth. Montreal, QC, Canada 31 May - 01 Jun 2007 Anaheim, CA Acta Press. pp. 167-171
The state of art of medical displays.
Gao, X. 2006. The state of art of medical displays. EuroPacs 2006. Trondheim, Norway 14 - 17 Jun 2006
Recognition of traffic signs based on their colour and shape features extracted using human vision models
Gao, X., Podladchikova, L., Shaposhnikov, D., Hong, K. and Shevtsova, N. 2006. Recognition of traffic signs based on their colour and shape features extracted using human vision models. Journal of Visual Communication and Image Representation. 17 (4), pp. 675-685. https://doi.org/10.1016/j.jvcir.2005.10.003
Formal verification of the merchant registration phase of the SET protocol.
Cheng, X. and Ma, X. 2005. Formal verification of the merchant registration phase of the SET protocol. International Journal of Automation and Computing. 2 (2), pp. 155-162. https://doi.org/10.1007/s11633-005-0155-5
Programming style based program partition
Li, Y., Yang, H., Cheng, X. and Zhu, X. 2005. Programming style based program partition. International Journal of Software Engineering and Knowledge Engineering. 15 (6), pp. 1027-1061. https://doi.org/10.1142/S0218194005002610
An improved model-based method to test circuit faults
Cheng, X., Ouyang, D., Yunfei, J. and Zhang, C. 2005. An improved model-based method to test circuit faults. Theoretical Computer Science. 341 (1-3), pp. 150-161. https://doi.org/10.1016/j.tcs.2005.04.004
Colour management in telemedicine
Gao, X. 2004. Colour management in telemedicine. Hamza, M. (ed.) 7th IASTED International Conference on Computer Graphics and Imaging. Kauai, Hawaii, United States 16 - 18 Aug 2004 Anaheim, CA Acta Press. pp. 361-364
Application of vision models to traffic sign recognition
Gao, X., Shaposhnikov, D. and Podladchikova, L. 2004. Application of vision models to traffic sign recognition. Kaynak, O., Alpaydin, E., Oja, E. and Xu, L. (ed.) Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. Istanbul, Turkey 26 - 29 Sep 2003 Berlin, Heidelberg Springer. https://doi.org/10.1007/3-540-44989-2_131
Topology control of ad hoc wireless networks for energy efficiency
Cheng, M., Cardei, M., Sun, J., Cheng, X., Wang, L., Xu, Y. and Du, D. 2004. Topology control of ad hoc wireless networks for energy efficiency. IEEE Transactions on Computers. 53 (12), pp. 1629-1635. https://doi.org/10.1109/TC.2004.121
Towards content-based retrieval for wallpaper images
Qian, Y., Tully, C., Hendon, Z. and Gao, X. 2003. Towards content-based retrieval for wallpaper images. 7th IASTED International Conference on Computer Graphics and Imaging. Kauai, Hawaii, United States 16 - 18 Aug 2004 pp. 305-309
Classification of images on the basis of the properties of informative regions
Gao, X., Shaposhnikov, D. and Podladchikova, L. 2003. Classification of images on the basis of the properties of informative regions. Pattern Recognition and Image Analysis. 13 (2), pp. 349-352.
Vision models based identification of traffic signs
Gao, X., Podladchikova, L., Shaposhnikov, D., Shevtsova, N., Hong, K., Batty, S., Golovan, A. and Gusakova, V. 2002. Vision models based identification of traffic signs. 1st European Conference on Colour Graphics, Imaging, and Vision. University of Poitiers, France 02 - 05 Apr 2002 Society for Imaging Science and Technology.
Content based retrieval of lesioned brain images
Batty, S., Blandford, A., Clark, J., Fryer, T. and Gao, X. 2002. Content based retrieval of lesioned brain images. Siegel, E. and Huang, H. (ed.) SPIE Medical Imaging 2002. San Diego, California, United States 23 - 28 Feb 2002 Bellingham Society of Photo-optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.466997
A method of vessel tracking for vessel diameter measurement on retinal images
Gao, X., Bharath, A., Stanton, A., Hughes, A., Chapman, N. and Thom, S. 2001. A method of vessel tracking for vessel diameter measurement on retinal images. 2001 International Conference on Image Processing. Thessaloniki, Greece 07 - 10 Oct 2001 IEEE.
Computer algorithms for the automated measurement of retinal arteriolar diameters
Chapman, N., Witt, N., Gao, X., Bharath, A., Stanton, A., Thom, S. and Hughes, A. 2001. Computer algorithms for the automated measurement of retinal arteriolar diameters. British Journal of Ophthalmology. 85 (1), pp. 74-79. https://doi.org/10.1136/bjo.85.1.74
Quantification and characterization of arteries in retinal images
Gao, X., Bharath, A., Stanton, A., Hughes, A., Chapman, N. and Thom, S. 2000. Quantification and characterization of arteries in retinal images. Computer Methods and Programs in Biomedicine. 63 (2), pp. 133-146. https://doi.org/10.1016/S0169-2607(00)00082-1