Girija Chetty

Research output

Research output per year 1995 2007 2010 2012 2014 2015 2018 2023

• 133 Conference contribution
• 28 Article
• 7 Chapter
• 5 Paper
• 1 More
  • 1 Other

Research output per year

Research output per year

Search results

• 2023

  A framework for vehicle quality evaluation based on interpretable machine learning

  Alwadi, M., Chetty, G. & Yamin, M., Jan 2023, In: International Journal of Information Technology (Singapore). 15, 1, p. 129-136 8 p.

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

  • Quality Evaluation 100%
  • Machine Learning 63%
  • Interpretability 50%
  • Machine learning 42%
  • Framework 32%
  1 Citation (Scopus)

• A low-resolution real-time face recognition using extreme learning machine and its variants

  Rajpal, A., Sehra, K., Mishra, A. & Chetty, G., 28 Feb 2023, (E-pub ahead of print) In: Imaging Science Journal. p. 1-16 16 p.

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

  • Face recognition 100%
  • Machine learning 76%
  • Classifiers 18%
  • Object detection 13%
  • Lighting 10%
• 2022

  A low resource 3D U-Net based deep learning model for medical image analysis

  Chetty, G., Yamin, M. & White, M., Feb 2022, In: International Journal of Information Technology (Singapore). 14, 1, p. 95-103 9 p.

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

  Open Access

  • Medical Image Analysis 100%
  • Brain Tumor 96%
  • Tumors 62%
  • Image analysis 58%
  • Resources 56%
  16 Citations (Scopus)

• Automatic deep learning-based consolidation/collapse classification in lung ultrasound images for COVID-19 induced pneumonia

  Durrani, N., Vukovic, D., van der Burgt, J., Antico, M., van Sloun, R. J. G., Canty, D., Steffens, M., Wang, A., Royse, A., Royse, C., Haji, K., Dowling, J., Chetty, G. & Fontanarosa, D., Dec 2022, In: Scientific Reports. 12, 1, p. 1-15 15 p., 17581.

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

  Open Access

  • Pneumonia 100%
  • Ultrasound 94%
  • Lung 91%
  • Deep Learning 85%
  • Consolidation 64%
  1 Citation (Scopus)

• Cardiovascular Disease Detection Based on Interpretable and Explainable AI

  Rajjliwal, N. S. & Chetty, G., 2022, Proceedings of IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022. IEEE, Institute of Electrical and Electronics Engineers, p. 1-7 7 p. (Proceedings of IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022).

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

  • Learning Model 100%
  • Cardiovascular Disease 93%
  • Machine Learning 58%
  • Deep Learning 30%
  • Machine learning 24%

• Deep Learning for Real Estate Trading

  Zhao, Y., Chetty, G. & Tran, D., 2022, Proceedings of IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022. IEEE, Institute of Electrical and Electronics Engineers, (Proceedings of IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2022).

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

  • Deep Learning 100%
  • Real Estate 86%
  • Sales 69%
  • Learning Model 65%
  • Deep learning 64%

• Deep Learning for Real-Time Malaria Parasite Detection and Counting Using YOLO-mp

  Koirala, A., Jha, M., Bodapati, S., Mishra, A., Chetty, G., Sahu, P. K., Mohanty, S., Padhan, T. K., Mattoo, J. & Hukkoo, A., 2022, In: IEEE Access. 10, p. 102157-102172 16 p.

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

  Open Access

  • Parasites 100%
  • Deep learning 61%
  • Blood 42%
  • Microscopic examination 37%
  • Microscopes 33%
  1 Citation (Scopus)

• Multi-scale 3D UNet: Multi-scale 3D UNet for Brain Tumor Segmentation

  Ahmad, P., Qamar, S., Shen, L., Rizvi, S. Q. A., Ali, A. & Chetty, G., 15 Jul 2022, International MICCAI Brainlesion Workshop: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries - 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021. Crimi, A. & Bakas, S. (eds.). Springer, p. 30-41 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12963 LNCS).

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

  • Segmentation 100%
  • Tumor 88%
  • Tumors 84%
  • Brain Tumor 52%
  • Strategy 35%
  1 Citation (Scopus)
• 2021

  Automatic deep learning-based pleural effusion classification in lung ultrasound images for respiratory pathology diagnosis

  Tsai, C. H., van der Burgt, J., Vukovic, D., Kaur, N., Demi, L., Canty, D., Wang, A., Royse, A., Royse, C., Haji, K., Dowling, J., Chetty, G. & Fontanarosa, D., Mar 2021, In: Physica Medica. 83, p. 38-45 8 p.

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

  Open Access

  • Deep Learning 100%
  • pathology 87%
  • lungs 79%
  • learning 78%
  • Pleural Effusion 76%
  20 Citations (Scopus)

• Deep Learning based Decision Support Framework for Cardiovascular Support Disease Prediction

  Rajjliwal, N. S. & Chetty, G., 2021, 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021. Khan, MGM., Chetty, G. & Xia, F. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1-12 12 p. (2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021).

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

  • Deep Learning 100%
  • Nutrition Surveys 79%
  • Decision Support 69%
  • CNN 68%
  • Deep learning 64%

• Multimodal Segmentation Based on a Novel 3D U-Net Deep Learning Architecture

  Swaroopa, K. M. & Chetty, G., 2021, 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021. Khan, MGM., Chetty, G. & Xia, F. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, (2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2021).

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

  • Deep Learning 100%
  • Segmentation 84%
  • segmentation 80%
  • Brain Neoplasms 67%
  • Glioma 67%
• 2020

  A Novel Approach using Deep Neural Network Vessel Segmentation Retinal Disease Detection

  Kaur, N., Chetty, G. & Singh, L., 16 Dec 2020, 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 9411629. (2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020).

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

  • Machine Learning 100%
  • Retinal Diseases 94%
  • Neural Networks 91%
  • Segmentation 88%
  • Deep neural networks 73%

• 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, Vol. 12436. 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

  Open Access

  • Segmentation 100%
  • Tendons 94%
  • Deep neural networks 80%
  • Neural Networks 77%
  • Convolutional neural networks 75%

• Deep Machine Learning Digital library recommendation system based on Metadata for Arabic and English Languages

  Almaghrabi, M. & Chetty, G., 16 Dec 2020, 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 9411525. (2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering, CSDE 2020).

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

  • Digital Libraries 100%
  • Metadata 96%
  • Deep Learning 90%
  • Recommendation System 89%
  • Machine Learning 86%

• 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

  Open Access

  • Population Density 100%
  • Traveling salesman problem 97%
  • Crossover 95%
  • Travelling salesman problems 89%
  • Genetic Algorithm 89%
  10 Citations (Scopus)

• 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 100%
  • Multilayer Perceptron 75%
  • Sentiment analysis 57%
  • Multilayer neural networks 53%
  • Language 37%
  7 Citations (Scopus)

• Message from DSS 2020 General Chairs

  Sheng, M., Chetty, G. & Chu, X., Dec 2020, p. 1-1. 1 p.

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

  Open Access

  • Data Science 100%
  • Organizing 49%
  • International Conference 38%
  • China 37%
  • pandemics 33%

• Multilingual Sentiment Recommendation System based on Multilayer Convolutional Neural Networks (MCNN) and Collaborative Filtering based Multistage Deep Neural Network Models (CFMDNN)

  Almaghrabi, M. & Chetty, G., Nov 2020, 2020 IEEE/ACS 17th International Conference on Computer Systems and Applications, AICCSA 2020. Akoglu, A., Talbi, E-G., Vargas-Solar, G. & Musicante, M. A. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 9316492. (Proceedings of IEEE/ACS International Conference on Computer Systems and Applications, AICCSA; vol. 2020-November).

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

  • Collaborative filtering 100%
  • Multilayer neural networks 91%
  • Recommender systems 88%
  • Deep neural networks 85%
  • Convolutional neural networks 80%
  2 Citations (Scopus)
• 2019

  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 100%
  • Recommender systems 72%
  • Deep learning 64%
  • Artificial Intelligence 48%
  • Neural networks 43%
  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

  • Tumor 100%
  • Image Analysis 99%
  • Deep Learning 96%
  • Tumors 71%
  • Image analysis 67%
  4 Citations (Scopus)

• Biomedical Named Entity Recognition Based on Hybrid Multistage CNN-RNN Learner

  Phan, R., Luu, T. M., Davey, R. & Chetty, G., 15 Jan 2019, Proceedings International Conference on Machine Learning and Data Engineering (iCMLDE 2018). Rhee, P. K., Howard, D. & Bashar, R. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 128-135 8 p. 8614015. (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

  • RNA 100%
  • DNA 85%
  • Proteins 75%
  • Datasets 65%
  • Cell Line 49%
  2 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

  • Spam 100%
  • Deep Learning 97%
  • Deep learning 63%
  • Embeddings (Algorithms) 56%
  • Neural Networks 56%
  8 Citations (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

  • Sales 100%
  • Learning 95%
  • Deep learning 93%
  • Prediction 35%
  • Vision 30%
  27 Citations (Scopus)

• 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 100%
  • Simulators 82%
  • Sales 72%
  • Augmented reality 39%
  • Health care 38%

• 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 100%
  • Deep learning 71%
  • Nursing 50%
  • Natural language processing systems 48%
  • Machine learning 29%
  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 100%
  • Face Recognition 89%
  • Histogram 61%
  • Face recognition 50%
  • Gradient 40%
  2 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)

• 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%
  5 Citations (Scopus)
• 2018

  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%

• 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%
  11 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%
  5 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%
  3 Citations (Scopus)

• Impact Rating Scales on Recommender System and Using Deep Learning and Neural Network Models to Improve Rating Prediction

  Almaghrabi, M. & Chetty, G., 1 Dec 2018, Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018: APWConCSE 2018 . Ali, A. B. M. S., Miah, S. & Rao Valluri, M. (eds.). Danvers, USA: IEEE, Institute of Electrical and Electronics Engineers, p. 207-213 7 p. 8853658. (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

  • Metaphor 100%
  • Deep Learning 98%
  • Computer Neural Networks 93%
  • Recommender systems 71%
  • Deep learning 63%

• Lifting Wavelet Transform based Fast Watermarking of Video Summaries using Extreme Learning Machine

  Mishra, A., Agarwal, C. & CHETTY, G., 8 Jul 2018, Proceedings 2018 International Joint Conference on Neural Networks (IJCNN). Rio de Janeiro, Brazil: IEEE, Institute of Electrical and Electronics Engineers, p. 1-7 7 p. 8489305. (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

  • Watermarking 100%
  • Wavelet transforms 81%
  • Machine learning 65%
  • Feedforward neural networks 32%
  • Signal processing 23%
  5 Citations (Scopus)

• Machine learning based models for cardiovascular risk prediction

  Rajliwall, N. S., Davey, R. & Chetty, G., 2018, Proceedings International Conference on Machine Learning and Data Engineering (iCMLDE 2018). Rhee, P. K., Howard, D. & Bashar, R. (eds.). NJ, United States: IEEE, Institute of Electrical and Electronics Engineers, p. 142-148 7 p. 8614017. (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

  • Cardiovascular Models 100%
  • Machine Learning 73%
  • Datasets 51%
  • Health 47%
  • Machine learning 47%
  16 Citations (Scopus)

• Neuro Fuzzy Architecture for Gray Scale Image Watermarking using Fractal Dimensions

  Mishra, A., Sehra, K. & CHETTY, G., 8 Jul 2018, Proceedings 2018 International Joint Conference on Neural Networks (IJCNN). Alippi, C., Melin, P. & Ting, C-K. (eds.). Brazil: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2018-July. p. 1-8 8 p. 8489350. (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

  • Image watermarking 100%
  • Fractal dimension 96%
  • Feedforward neural networks 29%
  • Fuzzy inference 28%
  • Fractals 27%
  4 Citations (Scopus)

• Obesity and Co-Morbidity Detection in Clinical Text Using Deep Learning and Machine Learning Techniques

  Rajput, K., Chetty, G. & Davey, R., 10 Dec 2018, Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018: APWConCSE 2018 . Ali, A. B. M. S., Miah, S. & Rao Valluri, M. (eds.). Danvers, USA: IEEE, Institute of Electrical and Electronics Engineers, p. 51-56 6 p. 8853828. (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

  • Deep Learning 100%
  • Machine Learning 82%
  • Deep learning 64%
  • Machine learning 53%
  • Obesity 50%
  4 Citations (Scopus)

• Optimization of scaling factors for image watermarking using harmony search algorithm

  Mishra, A., Agarwal, C. & Chetty, G., 4 Jul 2018, Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Gervasi, O., Murgante, B., Misra, S., Stankova, E., Torre, C. M., Rocha, A. M. A. C., Taniar, D., Apduhan, B. O., Tarantino, E. & Ryu, Y. (eds.). Netherlands: Springer, Vol. 10963. p. 422-434 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10963 LNCS).

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

  • Image Watermarking 100%
  • Harmony Search 83%
  • Watermarking 77%
  • Scaling Factor 62%
  • Image watermarking 58%
  1 Citation (Scopus)

• Oral supplementation of specific collagen peptides accelerates improvement in Achilles tendon pain and function in combination with a tailored exercise program

  Praet, S., Alzyadat, T., Purdam, C., Welvaert, M., Gaida, J., Chetty, G., Manzanero, S., Vlahovich, N., Hughes, D. & Waddington, G., 2018, In: Journal of Bodywork and Movement Therapies. 22, 4, p. 862-863 2 p.

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

  • Achilles Tendon 100%
  • Collagen 62%
  • Tendinopathy 57%
  • Exercise 53%
  • Peptides 52%

• Performance Analysis of Deep Neural Models for Automatic Identification of Disease Status

  Rajput, K., Chetty, G. & Davey, R., 3 Dec 2018, Proceedings International Conference on Machine Learning and Data Engineering (iCMLDE 2018). Rhee, P. K., Howard, D. & Bashar, R. (eds.). NJ, United States: IEEE, Institute of Electrical and Electronics Engineers, p. 136-141 6 p. 8614016. (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

  • Automatic identification 100%
  • Health 45%
  • Identification (control systems) 18%
  3 Citations (Scopus)
• 2017

  A distributed smart fusion framework based on hard and soft sensors

  CHETTY, G. & Yamin, M., 2017, In: International Journal of Information Technology . 9, 1, p. 19-31 13 p.

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

  • Soft Sensor 100%
  • Decision Support Systems 77%
  • Intelligence 66%
  • Fusion 53%
  • Sensor Fusion 43%
  9 Citations (Scopus)

• A Multilevel NER Framework for Automatic Clinical Name Entity Recognition

  LUU, T. M., PHAN, R., DAVEY, R. & CHETTY, G., 18 Nov 2017, 2017 IEEE International Conference on Data Mining Workshops. Gottumukkala, R., Karypis, G., Raghavan, V., Wu, X., Miele, L., Aluru, S., Ning, X. & Dong, G. (eds.). New Orleans: IEEE, Institute of Electrical and Electronics Engineers, p. 1135-1143 8 p. (IEEE INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS).

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

  • Microbiology 100%
  • Nursing 82%
  • Text mining 76%
  • Machine learning 48%
  4 Citations (Scopus)

• A Novel Data Mining Testbed for User Centred Modelling and Personalisation of Digital Library Services

  ALMAGHRABI, M. & CHETTY, G., 14 Nov 2017, Proceedings - 13th IEEE International Conference on eScience, eScience 2017. Auckland, New Zealand: IEEE, Institute of Electrical and Electronics Engineers, p. 434-435 2 p. 8109163. (Proceedings - 13th IEEE International Conference on eScience, eScience 2017).

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

  • Digital libraries 100%
  • Testbeds 80%
  • Data mining 68%
  • User experience 40%
  • Information services 23%
  2 Citations (Scopus)

• Chronic Disease Risk Monitoring Based on an Innovative Predictive Modelling Framework

  RAJLIWALL, N., CHETTY, G. & DAVEY, R., 26 Nov 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI) . Fogel, G. (ed.). Honolulu, HI, USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1-8 8 p. (2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings; vol. 2018-January).

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

  • Watches 100%
  • Monitoring 88%
  • Big data 71%
  • Health 58%
  • Energy Metabolism 50%
  8 Citations (Scopus)

• PHIs (Protected Health Information) identification from free text clinical records based on machine learning

  Rajput, K., Chetty, G. & Davey, R., 27 Nov 2017, Proceedings 2017 IEEE Symposium Series on Computational Intelligence (SSCI 2017). Bonissone, P. & Fogel, D. (eds.). Hawaii: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2018-January. p. 1-9 9 p. (2017 IEEE Symposium Series on Computational Intelligence, SSCI 2017 - Proceedings; vol. 2018-January).

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

  • Machine Learning 100%
  • Health 94%
  • Text 85%
  • Automatic identification 72%
  • Machine learning 66%
  1 Citation (Scopus)
• 2016

  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

  • Event Detection 100%
  • Fusion 65%
  • Decision support systems 58%
  • Object detection 58%
  • Data streams 57%

• 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 100%
  • Visibility 96%
  • Colon 78%
  • Colonoscopes 48%
  • Cameras 41%
  9 Citations (Scopus)

• 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 100%
  • Monitoring 40%
  • Sensors 36%
  • eHealth 22%
  • Information theory 20%
  23 Citations (Scopus)