Information Systems

Research output

Research output per year 1992 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2025

• 860 Conference contribution
• 341 Article
• 83 Chapter
• 25 Paper
• 111 More
  • 22 Edited Book
  • 14 Other
  • 11 Editorial
  • 10 Book/Film/Article review
  • 10 Comment/debate
  • 7 Special issue
  • 6 Book
  • 5 Review article
  • 4 Anthology
  • 4 Foreword/postscript
  • 3 Abstract
  • 2 Entry for encyclopedia/dictionary
  • 2 Other chapter contribution
  • 2 Letter
  • 1 Reports
  • 1 Scholarly edition
  • 1 Text Book
  • 1 Chapter in text book
  • 1 Poster
  • 1 Conference article
  • 1 Other Journal Article
  • 1 Other contribution
  • 1 Preprint

Research output per year

Research output per year

Search results

• 2019

  Human-Centered Framework for Managing IT Project Portfolio

  SARBAZHOSSEINI, H., BANIHASHEMI, S. & ADIKARI, S., 14 Jun 2019, HCI in Business, Government and Organizations: Information Systems and Analytics: 6th International Conference, HCIBGO 2019 Held as Part of the 21st HCI International Conference, HCII 2019 Orlando, FL, USA, July 26–31, 2019 Proceedings, Part II. Nah, F. F-H. & Siau, K. (eds.). Cham, Switzerland: Springer, Vol. 11589. p. 432-442 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11589 LNCS).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Portfolio Management 100%
  • Project Management 59%
  • Human 54%
  • Project management 47%
  • Interaction 34%
  1 Citation (Scopus)

• Ingestion of quinine during the latter stages of a 3km TT does not improve cycling performance

  Etxebarria, N., Ross, M. L. R., Rattray, B., Clark, B., Goecke, R. & Burke, L. M., 2019, p. 1-1. 1 p.

  Research output: Contribution to conference (non-published works) › Abstract

  • quinine 100%
  • ingestion 62%
  • finishing 35%

• Intrusion detection in smart cities using Restricted Boltzmann Machines

  ELSAEIDY, A., MUNASINGHE, K., SHARMA, D. & JAMALIPOUR, A., 2019, In: Journal of Network and Computer Applications. 135, p. 76-83 8 p.

  Research output: Contribution to journal › Article › peer-review

  • Smart city 100%
  • Intrusion detection 93%
  • Smart sensors 28%
  • Smart meters 28%
  • Denial-of-service attack 26%
  75 Citations (Scopus)

• Investigating Deep Learning Word2vec Model for Sentiment Analysis in Arabic and English languages for User's reviews

  Almaghrabi, M. & Chetty, G., Dec 2019, Proceedings of the 2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE). Washio, T. (ed.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 9162391. (2019 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2019).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Learning Model 100%
  • Deep Learning 91%
  • Sentiment Analysis 84%
  • Sentiment analysis 74%
  • Deep learning 59%
  1 Citation (Scopus)

• Investigating Factors Affecting the Adoption of Cloud Computing by SMEs: A Case Study of Saudi Arabia

  Sharma, D., Alghamdi, F. & Sathye, M., 12 Jan 2019, Information Systems - 15th European, Mediterranean, and Middle Eastern Conference, EMCIS 2018, Proceedings. Themistocleous, M. & da Cunha, P. R. (eds.). Switzerland: Springer, p. 158-176 18 p. (Lecture Notes in Business Information Processing; vol. 341).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Cloud Computing 100%
  • Small and Medium-sized Enterprises (SMEs) 91%
  • Saudi Arabia 72%
  • Cloud computing 51%
  • Software 31%
  6 Citations (Scopus)

• Investigating the Determinants of Innovation Adoption in Saudi Arabia

  ALSHEDDI, A., SHARMA, D. & TALUKDER, M., Mar 2019, In: International Review of Business Research Papers. 15, 1, p. 37-59 23 p.

  Research output: Contribution to journal › Article › peer-review

  • Saudi Arabia 100%
  • determinants 68%
  • innovation 61%
  • acceptance 50%
  • Social Norms and Values 36%

• Investigating the effects of lossy compression on age, gender and alcoholic information in EEG signals

  Nguyen, B., Ma, W. & Tran, D., 2019, 23rd KES International Conference on Knowledge-Based and Intelligent Information & Engineering Systems KES2019. Rudas, I. J., Janos, C., Toro, C., Botzheim, J., Howlett, R. J. & Jain, L. C. (eds.). Netherlands: Elsevier, Vol. 159. p. 231-240 10 p. (Procedia Computer Science).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  File

  • Electroencephalography 100%
  • Feature extraction 19%
  • Psychiatry 18%
  • Brain computer interface 14%
  • Machine learning 9%
  2 Citations (Scopus)

  59 Downloads (Pure)

• Making the world a better place with Mixed Reality in Education

  John, B. & Kurian, J. C., 10 Dec 2019, Australasian Conference on Information Systems. United States: Association for Information Systems, p. 1-11 11 p. (Australasian Journal of Information Systems; vol. 23, no. 2019).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Education 100%
  • Computer Graphics 48%
  • Information Systems 47%
  • Design Science 44%
  • Embodiment 43%

• Market Moods and Network Dynamics of Stock Returns: The Bipolar Behavior

  Irannezhad Ajirlou, A., Esmalifalak, H., Esmalifalak, M., Pordeli Behrouz, S. & Soltanalizadeh, F., 2019, In: Journal of Behavioral Finance. 20, 2, p. 239-254 16 p.

  Research output: Contribution to journal › Article › peer-review

  • Network Dynamics 100%
  • mood 78%
  • Mood 75%
  • Stock Returns 67%
  • market 45%
  4 Citations (Scopus)

• Mixed reality in the Information Systems Pedagogy: An authentic Learning Experience

  John, B. & Kurian, J. C., 15 Dec 2019, Association for Information Systems Special Interest Group on IS Education: Proceedings of the 2019 SIGED International Conference on Information Systems Education and Research. Green, D., Shankararaman, V., Akbulut, A. & Seruga, J. (eds.). United States: Association for Information Systems, p. 139-151 13 p. (AIS SIGED: IAIM International Conference).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Mixed reality 100%
  • information system 67%
  • Information systems 62%
  • Students 56%
  • learning 26%
  1 Citation (Scopus)

• Modelling and Automatic Design and Control of Robot Systems using Collaborative Intelligent Systems

  Mohammadian, M., 2019, Proceedings: Amity International Conference on Artificial Intelligence AICAI 2019. Khatri, S. K., Rana, A. & Kapur, P. K. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 37-41 5 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Intelligent systems 100%
  • Fuzzy logic 84%
  • Robots 62%
  • Fuzzy rules 51%
  • Collision avoidance 48%

• Multi-Operator Cooperation for Green Cellular Networks with Spatially Separated Base Stations under Dynamic User Associations

  Hossain, M. F., Munasinghe, K. S. & Jamalipour, A., Mar 2019, In: IEEE Transactions on Green Communications and Networking. 3, 1, p. 93-107 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Radio access networks 100%
  • Base stations 87%
  • Energy efficiency 63%
  • Sleep 21%
  • Network performance 19%
  10 Citations (Scopus)

• Multi-sided Platforms: A Business Model for BIM Adoption in Built Environment SMEs

  BANIHASHEMI, S., SARBAZHOSSEINI, H., ADIKARI, S., HOSSEINI, F. & Hosseini, R., 2019, HCI in Business, Government and Organizations. Information Systems and Analytics - 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings: 6th International Conference, HCIBGO 2019 Held as Part of the 21st HCI International Conference, HCII 2019 Orlando, FL, USA, July 26–31, 2019 Proceedings, Part II. Nah, F. F-H. & Siau, K. (eds.). Cham, Switzerland: Springer, Vol. 11589. p. 22-32 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11589 LNCS).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Business Model 100%
  • Business 37%
  • Positioning 30%
  • Architecture 25%
  • Industry 24%
  5 Citations (Scopus)

• On a partial least squares regression model for asymmetric data with a chemical application in mining

  Huerta, M., Leiva, V., Liu, S., Rodríguez, M. & Villegas, D., 15 Jul 2019, In: Chemometrics and Intelligent Laboratory Systems. 190, p. 55-68 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Mining 100%
  • Industry 64%
  • Kaolinite 32%
  • Application 27%
  • Mineral industry 27%
  51 Citations (Scopus)

• On circular correlation for data on the torus

  Zhan, X., Ma, T., Liu, S. & Shimizu, K., Dec 2019, In: Statistical Papers. 60, 6, p. 1827-1847 21 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Torus 100%
  • Alternatives 77%
  • Coefficients 61%
  • Spearman's coefficient 56%
  • Rank Correlation 56%
  8 Citations (Scopus)

• On the stability of a pass-thought security system in different brain states

  Tran, N., Tran, D., Liu, S. & Pham, T., 9 Dec 2019, Neural Information Processing - 26th International Conference, ICONIP 2019: Proceedings Part 1. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Netherlands: Springer, p. 556-567 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11953 LNCS).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Brain 100%
  • Security systems 92%
  • Authentication 78%
  • Electroencephalography 66%
  • Person 53%

• Outlier Dirichlet Mixture Mechanism: Adversarial Statistical Learning for Anomaly Detection in the Fog

  Moustafa, N., Choo, K-K. R., Radwan, I. & Camtepe, S., Aug 2019, In: IEEE Transactions on Information Forensics and Security. 14, 8, p. 1975-1987 13 p., 8600389.

  Research output: Contribution to journal › Article › peer-review

  • Fog 100%
  • Anomaly detection 94%
  • Fog computing 39%
  • Cloud computing 26%
  • Internet of things 25%
  95 Citations (Scopus)

• Portfolio selection based on semivariance and distance correlation under minimum variance framework

  Sun, R., Ma, T. & Liu, S., Aug 2019, In: Statistica Neerlandica. 73, 3, p. 373-394 22 p.

  Research output: Contribution to journal › Article › peer-review

  • Semivariance 100%
  • Portfolio Selection 94%
  • Minimum Variance 87%
  • Covariance Matrix 77%
  • Covariance matrix 62%
  3 Citations (Scopus)

• Protecting Cyber Physical Systems Using a Learned MAPE-K Model

  Elgendi, I., Hossain, M. F., Jamalipour, A. & Munasinghe, K. S., 5 Jul 2019, In: IEEE Access. 7, p. 90954-90963 10 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Cyber Physical System 100%
  • Industry 65%
  • Flexibility 35%
  • Industry 4.0 27%
  • Online systems 27%
  12 Citations (Scopus)

  216 Downloads (Pure)

• Regularization of deep neural networks with spectral dropout

  Khan, S., HAYAT, M. & Porikli, F., Feb 2019, In: Neural Networks. 110, p. 82-90 9 p.

  Research output: Contribution to journal › Article › peer-review

  • Deep neural networks 100%
  • Neurons 47%
  • Convolutional neural networks 46%
  • Chemical activation 46%
  • Neural networks 31%
  88 Citations (Scopus)

• Risk factors identification for heart disease in unstructured dataset using deep learning approach

  Rajput, K., Chetty, G. & Davey, R., 8 Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining Workshops, ICDMW 2019. Papapetrou, P., Cheng, X. & He, Q. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1056-1059 4 p. 8955584. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2019-November).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Deep learning 100%
  • Automatic identification 33%
  • Decision making 20%
  7 Citations (Scopus)

• Semi-supervised Neural Net Approach to Forecast Unpredictable CPU Load in an Enterprise Applications Environment

  Khosla, N. & Sharma, D., 21 Dec 2019, Proceedings of 5th International Conference on Software Security (ICSS 2019). Meghanatha, N. (ed.). AIRCC Publishing Corporation, p. 89-95 7 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution

  Open Access

  • Program processors 100%
  • Neural networks 71%
  • Industry 51%
  • Semi-supervised learning 36%
  • Real time systems 29%

• Species distribution models can be highly sensitive to algorithm configuration

  Hallgren, W., Santana, F., Low-Choy, S., Zhao, Y. & Mackey, B., 15 Sept 2019, In: Ecological Modelling. 408, p. 1-23 23 p., 108719.

  Research output: Contribution to journal › Article › peer-review

  • distribution 100%
  • documentation 30%
  • provenance 29%
  • biodiversity 22%
  • species occurrence 19%
  63 Citations (Scopus)

• State of the Art Lower Limb Robotic Exoskeletons for Elderly Assistance

  Kapsalyamov, A., Jamwal, P. K., HUSSAIN, S. & Ghayesh, M. H., 11 Jul 2019, In: IEEE Access. 7, 1, p. 95075-95086 12 p., 8759880.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Exoskeleton (Robotics) 100%
  • Torque 82%
  • Robotics 79%
  • Compound Mobility 49%
  • User interfaces 28%
  70 Citations (Scopus)

  216 Downloads (Pure)

• Sway Risk Analysis Based on Age Group Classification

  Ismail, H., Radwan, I., Suominen, H., Waddington, G. & Goecke, R., 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Barbieri, R. (ed.). IEEE, Institute of Electrical and Electronics Engineers, p. 392-398 7 p. 8856843. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Risk analysis 100%
  • Accidental Falls 73%
  • Age Groups 66%
  • Elderly 62%
  • Brain 37%

• Unsupervised Primitive Discovery for Improved 3D Generative Modeling

  Khan, S., Guo, Y., HAYAT, M. & Barnes, N., 2019, (In preparation) IEEE Conference on Computer Vision and Pattern Recognition. IEEE, Institute of Electrical and Electronics Engineers, p. 1-10 10 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • 3D modeling 100%

• Vision - A space for digital learning and exploring pedagogies: Virtual world education

  Gregory, S., Gregory, B., Jacka, L., Lierse, S., McDonald, M., Ellis, D., Hearns, M., Sukunesan, S., Irwin, P., John, B., Butler, D., Zagami, J. & Gaukrodger, B., 6 Dec 2019, Australasian Society for Computers in Learning in Tertiary Education (ASCILITE) 2019 Conference Proceedings. Wei, S. C. Y., Mun, C. K. & Alphonso, A. (eds.). Australia: Australasian Society for Computers in Learning in Tertiary Education, p. 130-138 9 p. (Australasian journal of educational technology).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  File

  • Education 100%
  • working group 79%
  • learning 40%
  • education 36%
  • New Zealand 32%
  1 Citation (Scopus)

  56 Downloads (Pure)

• vUBM: A variational universal background model for EEG-based person authentication

  Tran, H., Tran, D., Ma, W. & Nguyen, P., 1 Jan 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Netherlands: Springer, Vol. 4. p. 478-485 8 p. (Communications in Computer and Information Science; vol. 1142 CCIS).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Authentication 100%
  • Electroencephalogram (EEG) 96%
  • Person 75%
  • Electroencephalography 70%
  • Background 63%
• 2018

  Adversarial Training of Variational Auto-Encoders for High Fidelity Image Generation

  Khan, S. H., Hayat, M. & Barnes, N., 12 Mar 2018, Proceedings - 2018 IEEE Winter Conference on Applications of Computer Vision, WACV 2018. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2018-January. p. 1312-1320 9 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Discriminators 100%
  • Pixels 30%
  • Feedback 25%
  • Experiments 14%
  16 Citations (Scopus)

• An Experimental Study of Embodied Interaction and Human Perception of Social Presence for Interactive Robots in Public Settings

  Herath, D., Jochum, E. & Vlachos, E., Dec 2018, In: IEEE Transactions on Cognitive and Developmental Systems. 10, 4, p. 1096-1105 10 p., 8240698.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Robots 100%
  • Museums 78%
  • Human robot interaction 51%
  • Experiments 15%
  18 Citations (Scopus)

  138 Downloads (Pure)

• A Novel Method for Comparing Test Suites for Developing Reliable Software Applications

  Mohammadian, M. & Javed, Z., 31 Oct 2018, 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT). IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 8613292. (5th International Symposium on Innovation in Information and Communication Technology, ISIICT 2018).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Equivalence classes 100%
  • Application programs 65%
  • Software 65%
  • Equivalence class 21%
  • Navigation systems 14%

• A Proposed Wizard of OZ Architecture for a Human-Robot Collaborative Drawing Task

  Hinwood, D., Ireland, J., Jochum, E. A. & Herath, D., 28 Nov 2018, Social Robotics - 10th International Conference, ICSR 2018, November 28-30 2018, Proceedings. Ge, S., Cabibihan, J-J., Salichs, M. A., Broadbent, E., He, H., Wagner, A. R. & Castro-Gonzalez, A. (eds.). Cham: Springer, p. 35-44 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11357 LNAI).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  File

  • Robot 100%
  • Architecture 90%
  • Drawing 79%
  • Human 73%
  • Robots 52%
  9 Citations (Scopus)

  256 Downloads (Pure)

• A Stein-type shrinkage estimator of the covariance matrix for portfolio selections

  Sun, R., Ma, T. & Liu, S., 1 Nov 2018, In: Metrika. 81, 8, p. 931-952 22 p.

  Research output: Contribution to journal › Article › peer-review

  • Shrinkage Estimator 100%
  • Stein-type Estimator 99%
  • Portfolio Selection 89%
  • Covariance Matrix 72%
  • Covariance matrix 59%
  2 Citations (Scopus)

• A Study of Combined Lossy Compression and Person Identification on EEG Signals

  Nguyen, B., Ma, W. & Tran, D., 7 Jun 2018, International Joint Conference SOCO’18-CISIS’18-ICEUTE’18, San Sebastian, Spain, June 6-8 Proceedings. Grana, M., Lopez-Guede, J. M., Etxaniz, O., Herrero, A., Saez, J. A., Quintian, H. & Corchado, E. (eds.). Cham, Switzerland: Springer, Vol. 771. p. 449-458 10 p. (Advances in Intelligent Systems and Computing; vol. 771).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Electroencephalography 100%
  • Identification (control systems) 39%
  • Biometrics 14%
  1 Citation (Scopus)

• A Study of Combined Lossy Compression and Seizure Detection on Epileptic EEG Signals

  NGUYEN, T. B., MA, W. & TRAN, D., 3 Sept 2018, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 22nd International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2018). Howlett, R. J., Toro, C., Hicks, Y. & Jain, L. C. (eds.). Belgrade, Serbia: Elsevier, Vol. 126. p. 156-165 10 p. (Procedia Computer Science).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  File

  • Electroencephalography 100%
  8 Citations (Scopus)

  108 Downloads (Pure)

• A Virtual Sensor Network Framework for Vehicle Quality Evaluation

  ALWADI, MD., CHETTY, G. & YAMIN, M., 15 Mar 2018, 12th INDIACom-2018; 2018 5th International Conference on Computing for Sustainable Global Development. Hoda, M. V. (ed.). New Delhi, India: BVICAM, p. 1416-1420 5 p.

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  Open Access

  • Sensor networks 100%
  • Data Science 38%
  • Supply chains 28%
  • Machine learning 21%

• Biomedic Signal Processing and Analysis of Neuroimaging from fNIRS for Human Pain

  Huang, X., Rojas, R. F., Madoc, A. C. & Islam, S. M. R., 6 Jul 2018, 2018 10th IEEE International Conference on Communication Software and Networks, ICCSN 2018. IEEE, Institute of Electrical and Electronics Engineers, p. 396-400 5 p. 8488323

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Near infrared spectroscopy 100%
  • Neuroimaging 96%
  • Signal analysis 80%
  • Signal processing 59%
  • Support vector machines 44%

• Blockchain in IoT Security: A Survey

  Alkurdi, F., Elgendi, I., Munasinghe, K. S., Sharma, D. & Jamalipour, A., 21 Nov 2018, 2018 28th International Telecommunication Networks and Applications Conference, ITNAC 2018. IEEE, Institute of Electrical and Electronics Engineers, p. 1-4 4 p. 8615409. (2018 28th International Telecommunication Networks and Applications Conference, ITNAC 2018).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Blockchain 100%
  • Internet of things 71%
  • Finance 16%
  • Security of data 13%
  • Industry 6%
  39 Citations (Scopus)

• Book Review: Modern Data Science with R , Baumer, Benjamin S., Kaplan, Daniel T. and Horton, Nicholas J. Chapman & Hall/CRC, 2017.

  Liu, S., 2018, In: International Statistical Review. 86, 1, p. 162-162 1 p.

  Research output: Contribution to journal › Book/Film/Article review

  • Graduate Students 100%
  • Undergraduate Students 98%
  • Analysts 74%
  • Review 64%
  • Data Analytics 57%

• Book Review: Christophe Ley and Thomas Verdebout (2017): Modern Directional Statistics, Chapman and Hall/CRC.

  Liu, S., 23 Jan 2018, In: Statistical Papers. 59, 1, p. 421-422 2 p.

  Research output: Contribution to journal › Book/Film/Article review › peer-review

  • Directional Statistics 100%
  • Cosmology 51%
  • Statistics 44%
  • Review 43%
  • Bioinformatics 43%

• Break-Even Point-Based Radio Resource Management for Fair Coexistence between U-LTE and Wi-Fi

  Elgendi, I., Munasinghe, K. S. & Jamalipour, A., 27 Jul 2018, 2018 IEEE International Conference on Communications, ICC 2018 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 8422689. (IEEE International Conference on Communications; vol. 2018-May).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Long Term Evolution (LTE) 100%
  • Wi-Fi 96%
  • Base stations 51%
  • Throughput 40%
  • Femtocell 37%
  2 Citations (Scopus)

• Cardiovascular Risk Prediction Based on XGBoost

  Rajliwall, N. S., Davey, R. & Chetty, G., 10 Dec 2018, Proceedings: 2018 5th Asia-Pacific World Congress on Computer Science and Engineering : APWConCSE 2018 . Ali, A. B. M. S., Miah, S. & Valluri, M. R. (eds.). Danvers, USA: IEEE, Institute of Electrical and Electronics Engineers, p. 246-252 7 p. 8853798. (Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Datasets 100%
  • Machine Learning 47%
  • Nutrition Surveys 46%
  • Health Policy 42%
  • Disease Management 41%
  21 Citations (Scopus)

• Clinical Name Entity Recognition Based on Recurrent Neural Networks

  LUU, T. M., PHAN, R., DAVEY, R. & CHETTY, G., 2 Jul 2018, Proceedings of the 2018 18th International Conference on Computational Science and Its Applications, ICCSA 2018. Taniar, D., Tarantino, E., Misra, B. M. S., Gervasi, O., Torre, C. M., Ryu, Y., Stankova, E., Rocha, A. M. A. C. & Apduhan, B. O. (eds.). Australia: IEEE, Institute of Electrical and Electronics Engineers, p. 1-9 9 p. 8439147

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Recurrent neural networks 100%
  • Nursing 60%
  • Network architecture 44%
  • Deep learning 42%
  • Machine learning 35%
  9 Citations (Scopus)

• Clustering Questions in Healthcare Social Question Answering Based on Design Science Theory

  JOHN, B. & Wickramasinghe, N., 2018, Theories to Inform Superior Health Informatics Research and Practice. Wickramasinghe, N. & Schaffer, J. L. (eds.). 1 ed. Cham, Switzerland: Springer, p. 95-108 14 p. (Healthcare Delivery in the Information Age).

  Research output: A Conference proceeding or a Chapter in Book › Chapter › peer-review

  • Answering Services 100%
  • Cluster Analysis 70%
  • Delivery of Health Care 48%
  • Help-Seeking Behavior 14%
  • Social Media 12%

• Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

  Khan, S., HAYAT, M., Bennamoun, M., Sohel, F. & Togneri, R., Aug 2018, In: IEEE Transactions on Neural Networks and Learning Systems. 29, 8, p. 3573-3587 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Costs 100%
  • Classifiers 92%
  • Image classification 69%
  • Object detection 67%
  • Deep neural networks 63%
  724 Citations (Scopus)

• Customer Life Time Value Model Framework Using Gradient Boost Trees with RANSAC Response Regularization

  SINGH, L., Kaur, N. & CHETTY, G., 8 Jul 2018, Proceedings 2018 International Joint Conference on Neural Networks (IJCNN). Rio de Janeiro, Brazil, Brazil: IEEE, Institute of Electrical and Electronics Engineers, p. 1527-1534 8 p. 8489710. (Proceedings of the International Joint Conference on Neural Networks; vol. 2018-July).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Marketing 100%
  • Taxonomies 54%
  • Profitability 45%
  • Mathematical models 35%
  2 Citations (Scopus)

• Deep Learning Based Biomedical NER Framework

  Phan, R., Luu, T. M., Davey, R. & Chetty, G., 18 Nov 2018, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Sundaram, S. (ed.). Bangalore, India: IEEE, Institute of Electrical and Electronics Engineers, p. 33-40 8 p. 8628740. (Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Convolutional neural networks 100%
  • Learning 99%
  • Deep learning 98%
  • Neural Networks 68%
  • Natural language processing systems 66%
  4 Citations (Scopus)

• Deep neural models for chronic disease status detection in free text clinical records

  Rajput, K., Chetty, G. & Davey, R., 17 Nov 2018, Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018. Yu, J., Li, Z., Tong, H. & Zhu, F. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 864-869 6 p. 8637453. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2018-November).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Deep learning 100%
  4 Citations (Scopus)

• Deriving user interface flow models for artifact-centric business processes

  Yongchareon, S., Liu, C., ZHAO, X., Yu, J., Ngamakeur, K. & Xu, J., 1 Apr 2018, In: Computers in Industry. 96, p. 66-85 20 p.

  Research output: Contribution to journal › Article › peer-review

  • User interfaces 100%
  • Industry 49%
  • Data structures 13%
  • Experiments 5%
  13 Citations (Scopus)

• Detection of Universal Cross-Cultural Depression Indicators from the Physiological Signals of Observers

  Plested, J. F., Gedeon, T., Zhu, X. Y., DHALL, A. & GOECKE, R., 29 Jan 2018, 2017 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2017. San Antonio, TX, USA: IEEE, Institute of Electrical and Electronics Engineers, p. 185-192 8 p. (2017 7th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos, ACIIW 2017; vol. 2018-January).

  Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

  • Health 100%
  • Neural networks 82%
  6 Citations (Scopus)