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• Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death

  Awan, S. E., Bennamoun, M., Sohel, F., Sanfilippo, F. M., Chow, B. J. & Dwivedi, G., 26 Jun 2019, In : PLoS One. 14, 6, e0218760.

  Research output: Contribution to journal › Article

  Open Access

  • heart failure
  • artificial intelligence
  • Machine Learning
  • Feature extraction
  • Machine learning
  4 Citations (Scopus)

• Fingerprint indexing based on combination of novel minutiae triplet features

  Zhou, W., Hu, J., Wang, S., Petersen, I. R. & Bennamoun, M., 2014, Lecture Notes in Computer Science: Network and System Security. Au, M. H., Carminati, B. & Kuo, C-C. J. (eds.). Springer International Publishing Switzerland, Vol. 8792. p. 377-388

  Research output: Chapter in Book/Conference paper › Conference paper

  • Experiments
  10 Citations (Scopus)

• FLMF: Fractional Least Mean Fourth Algorithm for Channel Estimation in non-Gaussian Environment

  Khan, S., Ahmed, N., Malik, M. A., Naseem, I., Togneri, R. & Bennamoun, M., 14 Dec 2017, 2017 International Conference on Information and Communication Technology Convergence. USA: Wiley-IEEE Press, p. 466-470 5 p. (International Conference on Information and Communication Technology Convergence).

  Research output: Chapter in Book/Conference paper › Conference paper

• Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks

  Khan, S. H., He, X., Porikli, F. & Bennamoun, M., Sep 2017, In : IEEE Transactions on Geoscience and Remote Sensing. 55, 9, p. 5407 - 5423

  Research output: Contribution to journal › Article

  • Deep neural networks
  • satellite image
  • Satellites
  • detection
  • Monitoring
  48 Citations (Scopus)

• Forward-looking sonar image registration using polar transform

  Zhang, J., Sohel, F., Bian, H., Bennamoun, M. & An, S., 28 Nov 2016, OCEANS 2016 MTS/IEEE Monterey, OCE 2016. IEEE, Institute of Electrical and Electronics Engineers, 7761052

  Research output: Chapter in Book/Conference paper › Conference paper

  • sonar
  • image registration
  • Sonar
  • Image registration
  • transform
  6 Citations (Scopus)

• Generalized joint sparse representation for multimodal biometric fusion of heterogeneous features

  Primorac, R., Togneri, R., Bennamoun, M. & Sohel, F., 30 Jan 2019, 2018 IEEE International Workshop on Information Forensics and Security (WIFS). USA: IEEE, Institute of Electrical and Electronics Engineers, 8630775

  Research output: Chapter in Book/Conference paper › Conference paper

  • Biometrics
  • Fusion reactions
  • Experiments
  1 Citation (Scopus)

• Generating bags of words from the sums of their word embeddings

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 1 Jan 2018, Computational Linguistics and Intelligent Text Processing - 17th International Conference, CICLing 2016, Revised Selected Papers. Gelbukh, A. (ed.). Austria: Springer-Verlag Wien, p. 91-102 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9623 LNCS).

  Research output: Chapter in Book/Conference paper › Conference paper

  • Information retrieval
  • Semantics
  • Data storage equipment
  • Neural networks
  • Meaning

• Generating Bags of Words from the Sums of their Word Embeddings

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 2016, International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2016). p. 1-12

  Research output: Chapter in Book/Conference paper › Conference paper

• Geometric Distortion Measurement for Shape Coding: A Contemporary Review

  Sohel, F., Karmakar, G. C., Dooley, L. S. & Bennamoun, M., 2011, In : ACM Computing Surveys. 43, 4, p. 1-22

  Research output: Contribution to journal › Article

  • Coding
  • Rate-distortion
  • Review
  • Metric
  • Measurement Techniques
  7 Citations (Scopus)

• Geometry Driven Semantic Labeling of Indoor Scenes

  Khan, S., Bennamoun, M., Sohel, F. & Togneri, R., 2014, European Conference on Computer Vision. Online: Springer, Vol. 8689 LNCS. p. 679-694

  Research output: Chapter in Book/Conference paper › Conference paper
  34 Citations (Scopus)

• Global regularizer and temporal-aware cross-entropy for skeleton-based early action recognition

  Ke, Q., Liu, J., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 2019, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Mori, G., Li, H., Schindler, K. & Jawahar, C. V. (eds.). Springer-Verlag Berlin, p. 729-745 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11364 LNCS).

  Research output: Chapter in Book/Conference paper › Conference paper

  Open Access

  • Action Recognition
  • Cross-entropy
  • Skeleton
  • Labels
  • Entropy
  3 Citations (Scopus)

• Guest Editors' Introduction to the Special Issue on RGB-D Vision: Methods and Applications

  Bennamoun, M., Guo, Y., Tombari, F., Youcef-Toumi, K. & Nishino, K., 1 Oct 2020, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 10, p. 2329-2332 4 p., 9185968.

  Research output: Contribution to journal › Editorial

  Open Access

• Heat Propagation Contours for 3D Non-rigid Shape Analysis

  Wang, X., Sohel, F., Bennamoun, M. & Lei, H., 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV). Hoogs, A. & Davis, L. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, 7 p. 7477648

  Research output: Chapter in Book/Conference paper › Conference paper

  • Hot Temperature
  • Geometry
  4 Citations (Scopus)

• Human interaction prediction using deep temporal features

  Ke, Q., Bennamoun, M., An, S., Boussaid, F. & Sohel, F., 2016, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Hua, G. & Jegou, H. (eds.). Springer-Verlag London Ltd., Vol. 9914 LNCS. p. 403-414 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9914 LNCS).

  Research output: Chapter in Book/Conference paper › Conference paper

  • Human
  • Prediction
  • Interaction
  • Image coding
  • Image Coding
  22 Citations (Scopus)

• Identity Adaptation for Person Re-identification

  Ke, Q., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 30 Aug 2018, In : IEEE Access. 6, p. 48147-48155 8452946.

  Research output: Contribution to journal › Article

  Open Access

  • Testing
  • Deep learning
  • Probability distributions
  • Entropy
  • Cameras
  2 Citations (Scopus)

• Illumination normalization of facial images by reversing the process of image formation

  Al-Osaimi, F. R., Bennamoun, M. & Mian, A., Nov 2011, In : Machine Vision and Applications. 22, 6, p. 899-911

  Research output: Contribution to journal › Article

  • Lighting
  • Image processing
  • Light sources
  • Face recognition
  • Color
  13 Citations (Scopus)

• Impact of digital prosthodontic planning on dental esthetics: Biometric analysis of esthetic parameters

  Abduo, J., Bennamoun, M., Tennant, M. & McGeachie, J. K., Jan 2016, In : Journal of Prosthetic Dentistry. 115, 1, p. 57-64 8 p.

  Research output: Contribution to journal › Article
  5 Citations (Scopus)

• Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function

  Ward, I. R., Jalwana, M. A. A. K. & Bennamoun, M., 2020, Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers. Dabrowski, J. J., Rahman, A. & Paul, M. (eds.). Springer Link, p. 111-124 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11994 LNCS).

  Research output: Chapter in Book/Conference paper › Conference paper

  • Loss Function
  • Deep learning
  • Learning
  • Term
  • Regression

• Improving Semantic Image Segmentation with a Probabilistic Superpixel-Based Dense Conditional Random Field

  Zhang, L., Li, H., Shen, P., Zhu, G., Song, J., Shah, S. A. A., Zhang, L. & Bennamoun, M., 9 Mar 2018, In : IEEE Access. 6, p. 15297-15310 14 p., 2169-3536.

  Research output: Contribution to journal › Article

  Open Access

  • Superpixels
  • Image segmentation
  • Semantics
  • Neural networks
  • Labels
  13 Citations (Scopus)

• Improving semantic image segmentation with a probabilistic superpixel-based fully connected CRF

  Zhang, L., Li, H., Zhu, G., Shen, P., Shah, S. A. & Bennamoun, M., 12 Mar 2018, In : IEEE Access. 6, p. 15297 - 15310

  Research output: Contribution to journal › Conference article

  • Superpixels
  • Image segmentation
  • Semantics
  • Pixels
  • Neural networks

• Improving the Face of Cosmetic Medicine: An Automatic Three-dimensional Analysis System for Facial Rejuvenation

  Molton, M., Shah, S. A. & Bennamoun, M., 2016, In : Journal of Aesthetic & Reconstructive Surgery . 2, 2, 6 p., 12.

  Research output: Contribution to journal › Article

  Open Access

  • Rejuvenation
  • Medicine
  • Outcome Assessment (Health Care)
  • Three-Dimensional Imaging
  • X Ray Computed Tomography

• Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images

  Khan, S., Bennamoun, M., Sohel, F., Togneri, R. & Naseem, I., Mar 2016, In : International Journal of Computer Vision. 117, 1, p. 1-20

  Research output: Contribution to journal › Article

  Open Access

  File

  • Labeling
  • Semantics
  • Pixels
  • Geometry
  • Labels
  17 Citations (Scopus)

  512 Downloads (Pure)

• Integrating Shape and Color Cues for Textured 3D Object Recognition

  Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., 2013, Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1614-1619

  Research output: Chapter in Book/Conference paper › Conference paper
  7 Citations (Scopus)

• Integrating Visual Classifier Ensemble with Term Extraction for Automatic Image Annotation

  Lei, Y. J., Wong, W., Bennamoun, M. & Liu, W., 2011, Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications (ICIEA). Beijing, China: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1959-1965

  Research output: Chapter in Book/Conference paper › Conference paper

  • Image annotation
  • Classifiers
  • Support vector machines
  1 Citation (Scopus)

• Interdisciplinary learning for final year engineering projects: case studies

  Sohel, F., Thorne, C., Jegathesan, J. J., Sergeev, E. & Bennamoun, M., 2011, 22nd Annual Conference for the Australasian Association for Engineering Education. ACT, Australia: Engineers Australia, p. 498-504

  Research output: Chapter in Book/Conference paper › Other chapter contribution

• Iris recognition using class-specific dictionaries

  Naseem, I., Aleem, A., Togneri, R. & Bennamoun, M., Aug 2016, In : Computers and Electrical Engineering. 62, p. 178-193 16 p.

  Research output: Contribution to journal › Article

  • Glossaries
  • Fusion reactions
  • Inverse problems
  5 Citations (Scopus)

• Iterative deep learning for image set based face and object recognition

  Shah, S. A., Bennamoun, M. & Boussaid, F., 22 Jan 2016, In : Neurocomputing. 174, Part B, p. 866-874

  Research output: Contribution to journal › Article

  • Deep Learning
  • Facial Recognition
  • Object recognition
  • Deep learning
  • Face recognition
  49 Citations (Scopus)

• Keypoints-based surface representation for 3D modeling and 3D object recognition

  Shah, S. A. A., Bennamoun, M. & Boussaid, F., 1 Apr 2017, In : Pattern Recognition. 64, p. 29-38 10 p.

  Research output: Contribution to journal › Article

  • 3D modeling
  • Object recognition
  • Image registration
  • Tensors
  • MATLAB
  35 Citations (Scopus)

• Label Universal Targeted Attack

  Akhtar, N., Jalwana, M. A. A. K., Bennamoun, M. & Mian, A., 27 May 2019, arXiv preprint 15 p.

  Research output: Contribution to specialist publication › Article

  File

  • Labels
  230 Downloads (Pure)

• LCEval: Learned Composite Metric for Caption Evaluation

  Sharif, N., White, L., Bennamoun, M., Liu, W. & Shah, S. A. A., Oct 2019, In : International Journal of Computer Vision. 127, 10, p. 1586-1610

  Research output: Contribution to journal › Article

  • Linguistics
  • Neural networks
  • Composite materials

• Learning Action Recognition Model from Depth and Skeleton Videos

  Rahmani, H. & Bennamoun, M., 22 Dec 2017, Proceedings of the 2017 IEEE International Conference on Computer Vision, ICCV 2017. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-October. p. 5833-5842 10 p. 8237883

  Research output: Chapter in Book/Conference paper › Conference paper

  • Sensors
  51 Citations (Scopus)

• Learning-based Composite Metrics for Improved Caption Evaluation

  Sharif, N., Bennamoun, M., White, L. R. & Shah, S., 2018, Proceedings of ACL 2018, Student Research Workshop. Australia: Association for Computational Linguistics, p. 14-20

  Research output: Chapter in Book/Conference paper › Conference paper

  • Linguistics
  • Composite materials
  • Semantics
  • Image quality
  5 Citations (Scopus)

• Learning-Based Confidence Estimation for Multi-modal Classifier Fusion

  Nadeem, U., Bennamoun, M., Sohel, F. & Togneri, R., 15 Dec 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings: part II. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Australia: Springer, p. 299-312 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11954 LNCS).

  Research output: Chapter in Book/Conference paper › Conference paper

  • Classifier Fusion
  • Confidence
  • Learning
  • Fusion reactions
  • Classifiers
  1 Citation (Scopus)

• Learning Clip Representations for Skeleton-based 3D Action Recognition

  Ke, Q., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., Jun 2018, In : IEEE Transactions on Image Processing. 27, 6, p. 2842-2855

  Research output: Contribution to journal › Article

  • Neural networks
  • Recurrent neural networks
  48 Citations (Scopus)

• Learning deep structured network for weakly supervised change detection

  Khan, S. H., He, X., Porikli, F., Bennamoun, M., Sohel, F. & Togneri, R., 25 Aug 2017, 2017 International Joint Conference on Artificial Intelligence. Sierra, C. (ed.). Australia: International Joint Conferences on Artificial Intelligence, p. 2008-2015

  Research output: Chapter in Book/Conference paper › Conference paper

  15 Citations (Scopus)

• Learning Latent Global Network for Skeleton-based Action Prediction

  Ke, Q., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 2 Sep 2019, In : IEEE Transactions on Image Processing. p. 959-970

  Research output: Contribution to journal › Article

  • Lighting
  7 Citations (Scopus)

• Learning non-linear reconstruction models for image set classification

  Hayat, M., Bennamoun, M. & An, S., 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1915-1922

  Research output: Chapter in Book/Conference paper › Conference paper

  • Face recognition
  • Deep learning
  58 Citations (Scopus)

• Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition

  Zhang, L., Zhu, G., Shen, P., Song, J., Shah, S. & Bennamoun, M., 1 Aug 2017, Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition. IEEE, Institute of Electrical and Electronics Engineers, p. 3120-3128

  Research output: Chapter in Book/Conference paper › Conference paper

  • Gesture recognition
  • Neural networks
  • Long short-term memory
  • Experiments
  65 Citations (Scopus)

• Leveraging Linguistically-aware Object Relations and NASNet for Image Captioning

  Sharif, N., Jalwana, M. A. A. K., Bennamoun, M., Liu, W. & Shah, S. A. A., 2020, 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 9290719

  Research output: Chapter in Book/Conference paper › Conference paper

• Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction

  Ke, Q., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., 29 Nov 2017, In : IEEE Transactions on Multimedia.

  Research output: Contribution to journal › Article

  • Fusion reactions
  • Long short-term memory
  • Human robot interaction
  • Optical flows
  17 Citations (Scopus)

• Linear Regression-based Classifier for audio visual person identification

  Alam, M., Togneri, R., Sohel, F., Bennamoun, M. & Naseem, I., 2013, 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 5pp

  Research output: Chapter in Book/Conference paper › Conference paper
  10 Citations (Scopus)

• Machine Learning Approaches for Prediction of Facial Rejuvenation Using Real and Synthetic Data

  Shah, S. A. A., Bennamoun, M. & Molton, M. K., 2019, In : IEEE Access. 7, p. 23779-23787 9 p.

  Research output: Contribution to journal › Article

  Open Access
  2 Citations (Scopus)

• Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics

  Awan, S. E., Bennamoun, M., Sohel, F., Sanfilippo, F. M. & Dwivedi, G., 1 Apr 2019, In : ESC Heart Failure. 6, 2, p. 428-435 8 p.

  Research output: Contribution to journal › Article

  Open Access

  • Machine Learning
  • Area Under Curve
  • Heart Failure
  • Neural Networks (Computer)
  • Sensitivity and Specificity
  10 Citations (Scopus)

• Machine learning in heart failure: Ready for prime time

  Awan, S. E., Sohel, F., Sanfilippo, F. M., Bennamoun, M. & Dwivedi, G., 1 Mar 2018, In : Current Opinion in Cardiology. 33, 2, p. 190-195 6 p.

  Research output: Contribution to journal › Review article

  • Machine Learning
  • Deep Learning
  • Heart Failure
  • Big Data
  • Cost Savings
  18 Citations (Scopus)

• Message from CIT2013 Chairs

  Chen, J., Cao, J., Abawajy, J. H., Mauri, J. L., Bennamoun, M., Gościński, A. M., Blumenstein, M., Wei, D. & Yang, L. T., 2013, In : Proceedings - 16th IEEE International Conference on Computational Science and Engineering, CSE 2013. p. xxiii

  Research output: Contribution to journal › Letter

• Meta-transfer learning driven tensor-shot detector for the autonomous localization and recognition of concealed baggage threats

  Hassan, T., Shafay, M., Akçay, S., Khan, S., Bennamoun, M., Damiani, E. & Werghi, N., 2 Nov 2020, In : Sensors (Switzerland). 20, 22, p. 1-25 25 p., 6450.

  Research output: Contribution to journal › Article

  Open Access

  • baggage
  • Transfer (Psychology)
  • learning
  • Tensors
  • shot

• Model-free segmentation and grasp selection of unknown stacked objects

  Asif, U., Bennamoun, M. & Sohel, F., 2014, Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science. Switzerland: Springer, Vol. 8693 LNCS. p. 659-674

  Research output: Chapter in Book/Conference paper › Conference paper
  5 Citations (Scopus)

• Modelling Sentence Generation from Sum of Word Embedding Vectors as a Mixed Integer Programming Problem

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 30 Jan 2017, Proceedings of the 16th IEEE International Conference on Data Mining Workshops. Baeza-Yates, R. & Zhou, Z-H. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 770-777 8 p. 7836744

  Research output: Chapter in Book/Conference paper › Conference paper

  • Integer programming
  2 Citations (Scopus)

• Multibiometric human recognition using 3D ear and face features

  Islam, S., Davies, R., Bennamoun, M., Owens, R. & Mian, A., Mar 2013, In : Pattern Recognition. 46, 3, p. 613-627

  Research output: Contribution to journal › Article

  • Biometrics
  • Fusion reactions
  25 Citations (Scopus)

• Neural Representations of Natural Language

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 2018, 1 ed. Austria: Springer. 122 p. (Studies in Computational Intelligence; vol. 783)

  Research output: Book/Report › Book

  • Neural networks
  • Recurrent neural networks
  • Byproducts