Skip to main content

Research Repository

Advanced Search

Outputs (400)

Discriminative bi-term topic model for headline-based social news clustering (2015)
Presentation / Conference Contribution
Xia, Y., Tang, N., Hussain, A., & Cambria, E. (2015, May). Discriminative bi-term topic model for headline-based social news clustering. Presented at The Twenty-Eighth International Florida Artificial Intelligence Research Society Conference (FLAIRS), Hollywood, Florida

Social news are becoming increasingly popular. News organizations and popular journalists are starting to use social media more and more heavily for broadcasting news. The major challenge in social news clustering lies in the fact that textual conten... Read More about Discriminative bi-term topic model for headline-based social news clustering.

A Biologically Inspired Vision-Based Approach for Detecting Multiple Moving Objects in Complex Outdoor Scenes (2015)
Journal Article
Tu, Z., Zheng, A., Yang, E., Luo, B., & Hussain, A. (2015). A Biologically Inspired Vision-Based Approach for Detecting Multiple Moving Objects in Complex Outdoor Scenes. Cognitive Computation, 7(5), 539-551. https://doi.org/10.1007/s12559-015-9318-z

In the human brain, independent components of optical flows from the medial superior temporal area are speculated for motion cognition. Inspired by this hypothesis, a novel approach combining independent component analysis (ICA) with principal compon... Read More about A Biologically Inspired Vision-Based Approach for Detecting Multiple Moving Objects in Complex Outdoor Scenes.

A localization toolkit for sentic net (2015)
Presentation / Conference Contribution
Xia, Y., Li, X., Cambria, E., & Hussain, A. (2015). A localization toolkit for sentic net. In 2014 IEEE International Conference on Data Mining Workshop (403-408). https://doi.org/10.1109/ICDMW.2014.179

SenticNet is a popular resource for concept-level sentiment analysis. Because SenticNet was created specifically for opinion mining in English language, however, its localization can be very laborious. In this work, a toolkit for creating non-English... Read More about A localization toolkit for sentic net.

Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach (2015)
Journal Article
Agarwal, B., Poria, S., Mittal, N., Gelbukh, A., & Hussain, A. (2015). Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach. Cognitive Computation, 7(4), 487-499. https://doi.org/10.1007/s12559-014-9316-6

Sentiment analysis from unstructured natural language text has recently received considerable attention from the research community. In the frame of biologically inspired machine learning approaches, finding good feature sets is particularly challeng... Read More about Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach.

A novel cardiovascular decision support framework for effective clinical risk assessment (2015)
Presentation / Conference Contribution
Farooq, K., Karasek, J., Atassi, H., Hussain, A., Yang, P., MacRae, C., Mahmud, M., Luo, B., & Slack, W. (2014, December). A novel cardiovascular decision support framework for effective clinical risk assessment. Presented at 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE), Orlando, FL, USA

The aim of this study is to help improve the diagnostic and performance capabilities of Rapid Access Chest Pain Clinics (RACPC), by reducing delay and inaccuracies in the cardiovascular risk assessment of patients with chest pain by helping clinician... Read More about A novel cardiovascular decision support framework for effective clinical risk assessment.

An efficient computer aided decision support system for breast cancer diagnosis using Echo State Network classifier (2015)
Presentation / Conference Contribution
Wajid, S. K., Hussain, A., & Luo, B. (2014, December). An efficient computer aided decision support system for breast cancer diagnosis using Echo State Network classifier. Presented at 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE), Orlando, FL, USA

The paper presents Echo State Network (ESN) as classifier to diagnose the abnormalities in mammogram images. Abnormalities in mammograms can be of different types. An efficient system which can handle these abnormalities and draw correct diagnosis is... Read More about An efficient computer aided decision support system for breast cancer diagnosis using Echo State Network classifier.

Cognitively inspired speech processing for multimodal hearing technology (2015)
Presentation / Conference Contribution
Abel, A., Hussain, A., & Luo, B. (2014, December). Cognitively inspired speech processing for multimodal hearing technology. Presented at 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE), Orlando, FL, USA

In recent years, the link between the various human communication production domains has become more widely utilised in the field of speech processing. Work by the authors and others has demonstrated that intelligently integrated audio and visual inf... Read More about Cognitively inspired speech processing for multimodal hearing technology.

Intelligent image processing techniques for cancer progression detection, recognition and prediction in the human liver (2015)
Presentation / Conference Contribution
Ali, L., Hussain, A., Li, J., Shah, A., Sudhakr, U., Mahmud, M., Zakir, U., Yan, X., Luo, B., & Rajak, M. (2014, December). Intelligent image processing techniques for cancer progression detection, recognition and prediction in the human liver. Presented at 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE), Orlando, FL, USA

Clinical Decision Support (CDS) aids in early diagnosis of liver cancer, a potentially fatal disease prevalent in both developed and developing countries. Our research aims to develop a robust and intelligent clinical decision support framework for d... Read More about Intelligent image processing techniques for cancer progression detection, recognition and prediction in the human liver.

The development of an intelligent tutorial system for system development (2015)
Presentation / Conference Contribution
Al-Jumeily, D., Hussain, A., Alghamdi, M., Lamb, D., & Hamdan, H. (2014, November). The development of an intelligent tutorial system for system development. Presented at 2014 International Conference on Web and Open Access to Learning (ICWOAL), Dubai, United Arab Emirates

Educational software has frequently been criticized as it has not been explicitly planned to meet the demands of educational environment. Therefore, there is an increasing demand for an intelligent computer technology to become used in the environmen... Read More about The development of an intelligent tutorial system for system development.

Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm (2015)
Journal Article
Khan, A., Xue, L. Z., Wei, W., Qu, Y. P., Hussain, A., & Vencio, R. Z. N. (2015). Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm. Cognitive Computation, 7(4), 477-486. https://doi.org/10.1007/s12559-014-9315-7

The self-organizing map (SOM) approach has been used to perform cognitive and biologically inspired computing in a growing range of cross-disciplinary fields. Recently, the SOM based neural network framework was adapted to solve continuous derivative... Read More about Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm.