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• 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
  • Data Science
  • Supply chains
  • Machine learning

• 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
  • Machine Learning
  • Nutrition Surveys
  • Health Policy
  • Disease Management
  2 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
  • Nursing
  • Deep learning
  • Network architecture
  • Machine learning
  1 Citation (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
  • Taxonomies
  • Profitability
  • Mathematical models

• 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
  1 Citation (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.). 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
  2 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

  • Deep Learning
  • Metaphor
  • Neural Networks (Computer)
  • Deep learning
  • Recommender systems

• 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
  • Wavelet transforms
  • Machine learning
  • Feedforward neural networks
  • Signal processing
  1 Citation (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
  • Machine Learning
  • Datasets
  • Machine learning
  • Health
  2 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
  • Feedforward neural networks
  • Fuzzy inference
  • Image quality
  • Image processing
  2 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
  • Machine Learning
  • Deep learning
  • Machine learning
  • Obesity
  1 Citation (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
  • Harmony Search
  • Watermarking
  • Scaling Factor
  • Image watermarking

• 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
  • Collagen
  • Tendinopathy
  • Exercise
  • Peptides

• 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

  • Health
  • Identification (control systems)
  1 Citation (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
  • Deep learning
  • Recommender systems
  • Artificial Intelligence
  • Datasets
  2 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

• 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
  • DNA
  • Proteins
  • Datasets
  • Cell Line

• 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
  1 Citation (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
  • 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

• 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

• 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)

• 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