Find Research Outputs

Search results

• A Deep Learning Based Collaborative Neural Network Framework for Recommender System

  Almaghrabi, M. & Chetty, G., 15 Jan 2019, Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018. Howard, D., Bashar, M. R. & Rhee, P. K. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 128-135 8 p. 8614014. (Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2018).

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

  • Deep Learning
  • Deep learning
  • Recommender systems
  • Artificial Intelligence
  • Datasets
  1 Citation (Scopus)

• A smart fusion framework for multimodal object, activity and event detection

  CHETTY, G. & Yamin, M., 2016, Proceedings of the 10th INDIACom; 2016 3rd International Conference on Computing for Sustainable Global Development, INDIACom 2016. Hoda, M. N. (ed.). New Delhi, India: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1417-1422 6 p. 7724498. (Proceedings of the 10th INDIACom; 2016 3rd International Conference on Computing for Sustainable Global Development, INDIACom 2016).

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

  • Object detection
  • Decision support systems
  • Fusion reactions
  • Wearable technology
  • detection

• Automated visibility map of the internal colon surface from colonoscopy video

  ARMIN, A., CHETTY, G., De Visser, H., Dumas, C., Grimpen, F. & salvado, O., 1 Sep 2016, In: International Journal of Computer Assisted Radiology and Surgery. 11, 9, p. 1599-1610 12 p.

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

  • Colonoscopy
  • Visibility
  • Colon
  • Colonoscopes
  • Cameras
  6 Citations (Scopus)

• Automatic brain image analysis based on multimodal deep learning scheme

  Chetty, G., Singh, M. & White, M., 2 Dec 2019, Proceedings - 2019 International Conference on Machine Learning and Data Engineering (iCMLDE 2019). Rhee, P. K., Hwa, K-Y., Pai, T-W., Howard, D. & Bashar, R. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 97-100 4 p. 8995755. (Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2019).

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

  • Deep Learning
  • Tumor
  • Image Analysis
  • Tumors
  • Deep learning

• Automatic Segmentation of Achilles Tendon Tissues Using Deep Convolutional Neural Network

  Alzyadat, T., Praet, S., Chetty, G., Goecke, R., Hughes, D., Kumar, D., Welvaert, M., Vlahovich, N. & Waddington, G., 1 Jan 2020, Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Liu, M., Yan, P., Lian, C. & Cao, X. (eds.). Netherlands: Springer, p. 444-454 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12436 LNCS).

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

  • Tendons
  • Tissue
  • Neural networks
  • Network architecture
  • Imaging techniques

• Body sensor networks for human activity recognition

  CHETTY, G. & White, M., 2016, Proceedings Signal Processing and Information Networks (SPIN 2016). Dutta, M. K. & Banerjee, J. K. R. P. (eds.). United States of America: IEEE, Institute of Electrical and Electronics Engineers, p. 660-665 6 p. 7566779. (3rd International Conference on Signal Processing and Integrated Networks, SPIN 2016).

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

  • Body sensor networks
  • Monitoring
  • Sensors
  • eHealth
  • Information theory
  16 Citations (Scopus)

• Deep learning based spam detection system

  Chetty, G., Bui, H. & White, M., 2 Dec 2019, Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2019. Rhee, P. K., Hwa, K-Y., Pai, T-W., Howard, D. & Bashar, R. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 91-96 6 p. 8995757. (Proceedings - International Conference on Machine Learning and Data Engineering, iCMLDE 2019).

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

  • Deep Learning
  • Spam
  • Deep learning
  • Embeddings (Algorithms)
  • Neural Networks
  1 Citation (Scopus)

• Deep Learning with XGBoost for Real Estate Appraisal

  Zhao, Y., Chetty, G. & Tran, D., 6 Dec 2019, 2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1396-1401 6 p. 9002790. (2019 IEEE Symposium Series on Computational Intelligence, SSCI 2019).

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

  • Deep learning
  • Sales
  • Learning
  • Prediction
  • Vision

• Embodied Conversational Agents and Interactive Virtual Humans for Training Simulators

  CHETTY, G. & White, M., 2019, Proceedings of 2019 Audio Visual Speech Processing Conference (AVSP). Melbourne, Australia: International Speech Communication Association, p. 1-5 5 p.

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

  Open Access

  • Virtual reality
  • Simulators
  • Sales
  • Augmented reality
  • Health care

• Enhancing clinical name entity recognition based on hybrid deep learning scheme

  Phan, R., Luu, T., Davey, R. & Chetty, G., 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. 1049-1055 7 p. 8955534. (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

  • eHealth
  • Deep learning
  • Nursing
  • Machine learning

• Genetic algorithms for the travelling salesman problem: a crossover comparison

  Alqura'N Alzyadat, T., Yamin, M. & Chetty, G., Mar 2020, In: International Journal of Information Technology . 12, 1, p. 209-213 5 p.

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

  • Traveling Salesman Problem
  • Crossover
  • Traveling salesman problem
  • Genetic Algorithm
  • Genes

• Genetic algorithms for the travelling salesman problem: A crossover comparison

  Alzyadat, T., Yamin, M. & Chetty, G., Mar 2020, In: International Journal of Information Technology . 12, 1, p. 209-213 5 p.

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

  • Traveling salesman problem
  • Crossover
  • Travelling salesman problems
  • Genetic Algorithm
  • Genes
  2 Citations (Scopus)

• HOG Based Facial Recognition Approach Using Viola Jones Algorithm and Extreme Learning Machine

  Sehra, K., Rajpal, A., Mishra, A. & Chetty, G., 29 Jun 2019, Computational Science and Its Applications – ICCSA 2019: 19th International Conference, Saint Petersburg, Russia, July 1–4, 2019, Proceedings, Part V. Misra, S., Gervasi, O., Murgante, B., Stankova, E., Korkhov, V., Torre, C., Rocha, A. M. A. C., Taniar, D., Apduhan, B. O. & Tarantino, E. (eds.). Cham, Switzerland: Springer, Vol. 11623. p. 423-435 13 p. (Lecture Notes in Computer Science; vol. 11623).

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

  • Extreme Learning Machine
  • Face Recognition
  • Histogram
  • Face recognition
  • Machine learning

• Improving sentiment analysis in arabic and english languages by using multi-layer perceptron model (MLP)

  Almaghrabi, M. & Chetty, G., 1 Oct 2020, p. 745-746. 2 p.

  Research output: Contribution to conference (non-published works) › Paper › peer-review

  • Sentiment Analysis
  • Perceptron
  • Multilayer
  • Sentiment analysis
  • Multilayer neural networks

• 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

  • Deep Learning
  • Sentiment Analysis
  • Sentiment analysis
  • Deep learning
  • English language
  1 Citation (Scopus)

• Investigation into Interoperability in Cloud Computing: An Architectural Model

  Sutherland, S. & Chetty, G., Mar 2016, In: Journal of Computers. 11, 2, p. 159-168 10 p.

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

  Open Access

  • Interoperability
  • Cloud computing
  • Industry

• 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
  • Decision making

• Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features

  ARMIN, A., CHETTY, G., Fripp, J., De Visser, H., Dumas, C., Fazlollahi, A., Grimpen, F. & salvado, O., 2016, Computer-Assisted and Robotic Endoscopy: Second International Workshop, CARE 2015. Luo, X., Reichl, T., Reiter, A. & Mariottini, G-L. (eds.). Munich, Germany: Springer, Vol. 9515. p. 153-162 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9515).

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

  • Color
  • Motion
  • Cameras
  • Navigation
  • Camera
  6 Citations (Scopus)