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• Abstract/Meeting Abstract

  Artificial intelligence methods for real-time pharmacovigilance monitoring to predict adverse cardiac events

  Lu, J., Bennamoun, M., Sohel, F., Dwivedi, G., An, S., Rankin, J. & Sanfilippo, F., 2019, In : Heart, Lung & Circulation.

  Research output: Contribution to journal › Abstract/Meeting Abstract
• Article

  A Cascade Gray-Stereo Visual Feature Extraction Method For Visual and Audio-Visual Speech Recognition

  Sui, C., Togneri, R. & Bennamoun, M., Jun 2017, In : Speech Communication. 90, p. 26-38 13 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Audiovisual Speech
  • Feature Extraction
  • Speech Recognition
  • Cascade
  • Vision
  7 Citations (Scopus)

  251 Downloads (Pure)

• A confidence-based late fusion framework for audio-visual biometric identification

  Alam, M., Bennamoun, M., Togneri, R. & Sohel, F., 15 Jan 2015, In : Pattern Recognition Letters. 52, p. 65-71

  Research output: Contribution to journal › Article

  Open Access

  File

  • Biometrics
  • Fusion reactions
  • Experiments
  21 Citations (Scopus)

  431 Downloads (Pure)

• A Curvelet-based approach for textured 3D face recognition

  Elaiwat, S., Bennamoun, M., Boussaïd, F. & El-Sallam Abd, A., Apr 2015, In : Pattern Recognition. 48, 4, p. 1235-1246

  Research output: Contribution to journal › Article

  • Face recognition
  • Frequency bands
  • Textures
  • Lighting
  • Detectors
  45 Citations (Scopus)

  11 Downloads (Pure)

• A low-cost implementation of a 360° vision distributed aperture system

  Peng, X., Bennamoun, M., Wang, Q., Ma, Q. & Xu, Z., 2015, In : IEEE Transactions on Circuits and Systems for Video Technology. 25, 2, p. 225-238

  Research output: Contribution to journal › Article

  • Cameras
  • Costs
  • Computer hardware
  • Personal computers
  • Graphics processing unit
  3 Citations (Scopus)

• An Integrated Framework for 3-D Modeling, Object Detection, and Pose Estimation From Point-Clouds

  Guo, Y., Bennamoun, M., Sohel, F., Lu, M. & Wan, J., Mar 2015, In : IEEE Transactions on Instrumentation and Measurement. 64, 3, p. 683-693 11 p.

  Research output: Contribution to journal › Article

  • 3D modeling
  • Object detection
  • clutter
  • computer vision
  • occlusion
  46 Citations (Scopus)

• A novel 3D vorticity based approach for automatic registration of low resolution range images

  Shah, S. A. A., Bennamoun, M. & Boussaid, F., Sep 2015, In : Pattern Recognition. 48, 9, p. 2859-2871

  Research output: Contribution to journal › Article

  Open Access

  File

  • Vorticity
  • Image registration
  21 Citations (Scopus)

  466 Downloads (Pure)

• A Novel Adaptive Kernel for the RBF Neural Networks

  Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 1 Apr 2017, In : Circuits, Systems, and Signal Processing. 36, 4, p. 1639-1653 15 p.

  Research output: Contribution to journal › Article

  • RBF Neural Network
  • kernel
  • Neural networks
  • Electric fuses
  • Radial Basis Function Neural Network
  23 Citations (Scopus)

• A novel information theoretic approach to gene selection for cancer classification using microarray data

  Naseem, I., Togneri, R. & Bennamoun, M., 2015, In : Current Bioinformatics. 10, 4, p. 431-440

  Research output: Contribution to journal › Article

  • Cancer Classification
  • Gene Selection
  • Microarray Data
  • Microarrays
  • Neoplasm Genes

• A novel local surface feature for 3D object recognition under clutter and occlusion

  Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., 1 Feb 2015, In : Information Sciences. 293, p. 196-213

  Research output: Contribution to journal › Article

  Open Access

  File

  • 3D Object Recognition
  • Occlusion
  • Clutter
  • Object recognition
  • Recognition Algorithm
  77 Citations (Scopus)

  487 Downloads (Pure)

• A pitfall in fingerprint bio-cryptographic key generation

  Zhang, P., Hu, J. K., Li, C., Bennamoun, M. & Bhagavatula, V., 2011, In : Computers & Security. 30, 5, p. 311-319

  Research output: Contribution to journal › Article

  • biometrics
  • Biometrics
  • Feature extraction
  • experiment
  • integrity
  34 Citations (Scopus)

• A review of Recent Advances in 3D ear and Expression Invariant Face Biometrics

  Islam, S., Bennamoun, M., Owens, R. & Davies, R., 2012, In : ACM Computing Surveys. 44, 3, p. 1-40 14.

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

  12 Downloads (Pure)

• A training-free nose tip detection method from face range images

  Peng, X., Bennamoun, M. & Mian, A., Mar 2011, In : Pattern Recognition. 44, 3, p. 544-558

  Research output: Contribution to journal › Article

  • Face recognition
  • Graphics processing unit
  • MATLAB
  • Pixels
  • Computer hardware
  39 Citations (Scopus)

  9 Downloads (Pure)

• A Unified Framework for Brain Segmentation in MR Images

  Yazdani, S., Yusof, R., Karimian, A., Riazi, A. H. & Bennamoun, M., 2015, In : Computational and Mathematical Methods in Medicine. 2015, p. 829893

  Research output: Contribution to journal › Article

  8 Citations (Scopus)

• Automated segmentation of gravel particles from depth images of gravel-soil mixtures

  Rahmani, H., Scanlan, C., Nadeem, U., Bennamoun, M. & Bowles, R., Jul 2019, In : Computers & Geosciences. 128, p. 1-10 10 p.

  Research output: Contribution to journal › Article

  Open Access
  3 Citations (Scopus)

• Constructing specialised corpora through analysing domain representativeness of websites

  Wong, W., Liu, W. & Bennamoun, M., 2011, In : Language Resources and Evaluation. 45, 2, p. 209-241

  Research output: Contribution to journal › Article

  • Specialized Corpora
  • Representativeness
  • Web Sites
  • search engine
  • website
  4 Citations (Scopus)

• Continuous Gesture Segmentation and Recognition using 3DCNN and Convolutional LSTM

  Zhu, G., Zhang, L., Shen, P., Song, J., Shah, S. A. A. & Bennamoun, M., Apr 2019, In : IEEE Transactions on Multimedia. p. 1011-1021

  Research output: Contribution to journal › Article

  • Gesture recognition
  • Long short-term memory
  • Neural networks
  • Hinges
  • Network architecture
  11 Citations (Scopus)

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

  Khan, S. H., Hayat, M., Bennamoun, M., Sohel, F. A. & Togneri, R., 17 Aug 2017, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 8, p. 3573-3587

  Research output: Contribution to journal › Article

  • Costs
  • Classifiers
  • Deep neural networks
  • Image classification
  • Object detection
  186 Citations (Scopus)

• Deep feature learning for dummies: A simple auto-encoder training method using Particle Swarm Optimisation

  Sui, C., Bennamoun, M. & Togneri, R., 15 Jul 2017, In : Pattern Recognition Letters. 94, p. 75-80 6 p.

  Research output: Contribution to journal › Article

  • Deep learning
  • Particle swarm optimization (PSO)
  • Feature extraction
  • Speech recognition
  8 Citations (Scopus)

• Deep learning-based 3D local feature descriptor from Mercator projections

  Rezaei, M., Rezaeian, M., Derhami, V., Sohel, F. & Bennamoun, M., Oct 2019, In : Computer Aided Geometric Design. 74, 101771.

  Research output: Contribution to journal › Article

  • Local Features
  • Descriptors
  • Deep neural networks
  • Deep learning
  • Learning
  2 Citations (Scopus)

• Deep reconstruction models for image set classification

  Hayat, M., Bennamoun, M. & An, S., Apr 2015, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 4, p. 713-727

  Research output: Contribution to journal › Article

  • Template
  • Video Surveillance
  • Face Recognition
  • Model
  • Boltzmann Machine
  123 Citations (Scopus)

  11 Downloads (Pure)

• Discriminative feature learning and region consistency activation for robust scene labeling

  Li, Y., Sohel, F., Bennamoun, M. & Lei, H., 21 Jun 2017, In : Neurocomputing. 243, p. 174-186 13 p.

  Research output: Contribution to journal › Article

  • Labeling
  • Chemical activation
  • Learning
  • Generalization (Psychology)
  • Labels

• ECMSRC: A sparse learning approach for the prediction of extracellular matrix proteins

  Naseem, I., Khan, S., Togneri, R. & Bennamoun, M., 1 Aug 2017, In : Current Bioinformatics. 12, 4, p. 361-368 8 p.

  Research output: Contribution to journal › Article

  • Extracellular Matrix Proteins
  • Protein
  • Proteins
  • Learning
  • Extracellular Matrix
  19 Citations (Scopus)

• Effect of prosthodontic planning on intercuspal occlusal contacts: Comparison of digital and conventional planning

  Abduo, J. T. J., Bennamoun, M., Tennant, M. & Mcgeachie, J., 2015, In : Computers in Biology and Medicine. 60, p. 143-150

  Research output: Contribution to journal › Article

  • Prosthodontics
  • Waxes
  • Planning
  • Tooth
  • Arches
  1 Citation (Scopus)

• Effect of prosthodontic planning on lateral occlusion scheme: A comparison between conventional and digital planning

  Abduo, J., Bennamoun, M., Tennant, M. & Mcgeachie, J., 2015, In : Journal of Applied Oral Science. 23, 2, p. 196-205

  Research output: Contribution to journal › Article

  Open Access

  • Prosthodontics
  • Waxes
  • Tooth
  • Canidae
  • Angle Class I Malocclusion
  2 Citations (Scopus)

• Efficient Detection and Recognition of 3D Ears

  Islam, S., Davies, R., Bennamoun, M. & Mian, A., 1 Apr 2011, In : International Journal of Computer Vision. 95, 1, p. 52-73

  Research output: Contribution to journal › Article

  Open Access

  File

  • Adaptive boosting
  • Detectors
  • Biometrics
  • Classifiers
  • Geometry
  62 Citations (Scopus)

  389 Downloads (Pure)

• Empowering Simple Binary Classifiers for Image Set Based Face Recognition

  Hayat, M., Khan, S. H. & Bennamoun, M., 1 Jul 2017, In : International Journal of Computer Vision. 123, 3, p. 479-498 20 p.

  Research output: Contribution to journal › Article

  • Face recognition
  • Classifiers
  • Object recognition
  • Security systems
  • Cameras
  19 Citations (Scopus)

• Enhanced q-least Mean Square

  Sadiq, A., Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 26 Mar 2019, In : Circuits, Systems, and Signal Processing. 23 p.

  Research output: Contribution to journal › Article

  • Least Mean Square
  • Q-calculus
  • Learning Rate
  • Stochastic Gradient
  • Gradient Algorithm
  6 Citations (Scopus)

• 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)

• 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
  49 Citations (Scopus)

• 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)

• 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)

• Influence of conventional and digital wax-ups on axial tooth contour

  Abduo, J., Bennamoun, M. & Tennant, M., 2015, In : INTERNATIONAL JOURNAL OF PERIODONTICS & RESTORATIVE DENTISTRY. 35, p. e50-e59

  Research output: Contribution to journal › Article
  2 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
  236 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 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)

• 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)

• 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)

• Nature-inspired techniques in the context of fraud detection

  Behdad, M., Barone, L., Bennamoun, M. & French, T., 2012, In : IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews. 42, 6, p. 1273 - 1290

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

• NormalNet: A voxel-based CNN for 3D object classification and retrieval

  Wang, C., Cheng, M., Sohel, F., Bennamoun, M. & Li, J., 5 Jan 2019, In : Neurocomputing. 323, p. 139-147 9 p.

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

• NSCT-based fusion method for forward-looking sonar image mosaic

  Zhang, J., Sohel, F., Bennamoun, M., Bian, H. & An, S., 1 Oct 2017, In : IET Radar, Sonar and Navigation. 11, 10, p. 1512-1522 11 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Sonar
  • Image fusion
  • Pixels
  • Experiments
  5 Citations (Scopus)

  328 Downloads (Pure)

• On principal component analysis for high-dimensional XCSR

  Behdad, M., French, T., Barone, L. & Bennamoun, M., 2012, In : Evolutionary Intelligence. 5, p. 129-138

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

• Ontology Learning from Text: A look back and into the future

  Wong, W. Y., Liu, W. & Bennamoun, M., 2012, In : ACM Computing Surveys. 44, 4, p. 1-36

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

• On XCSR for electronic fraud detection

  Behdad, M., Barone, L., French, T. & Bennamoun, M., 2012, In : Evolutionary Intelligence. 5, p. 139-150

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

• Partial fingerprint indexing: a combination of local and reconstructed global features

  Zhou, W., Hu, J., Wang, S., Petersen, I. & Bennamoun, M., 2015, In : CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. N/A, p. 1-18

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

• Quantitative error analysis of bilateral filtering

  An, S., Boussaïd, F., Bennamoun, M. & Sohel, F., 2015, In : IEEE Signal Processing Letters. 22, 2, p. 202-206

  Research output: Contribution to journal › Article

  • Quantitative Analysis
  • Filtering
  • Error Analysis
  • Error analysis
  • Interpolation
  5 Citations (Scopus)

• ResFeats: Residual network based features for underwater image classification

  Mahmood, A., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., 1 Nov 2019, In : Image and Vision Computing. 103811.

  Research output: Contribution to journal › Article

  • Aquatic ecosystems
  • Deep neural networks
  • Image classification
  • Imaging systems
  • Deep learning
  7 Citations (Scopus)

• Review of Modelling and Simulating Crowds at Mass Gathering Events: Hajj as a Case Study

  Owaidah, A., Olaru, D., Bennamoun, M., Sohel, F. & Khan, N., 31 Mar 2019, In : JASSS. 22, 2, 36 p., 9.

  Research output: Contribution to journal › Article

  Open Access
  3 Citations (Scopus)