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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

• Developing and testing a new machine learning method to identify patients with heart failure who are at risk of 30-day readmission or mortality

  Awan, S. E., Bennamoun, M., Sanfilippo, F., Sohel, F., Shah, S., Rankin, J. & Dwivedi, G., 2018, In : Heart, Lung and Circulation.

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

  A Fractional Gradient Descent-Based RBF Neural Network

  Khan, S., Naseem, I., Malik, M. A., Togneri, R. & Bennamoun, M., Dec 2018, In : Circuits, Systems and Signal Processing. 37, 12, p. 5311-5332 22 p.

  Research output: Contribution to journal › Article

  • RBF Neural Network
  • Radial Basis Function Neural Network
  • Gradient Descent
  • Fractional
  • Neural networks
  19 Citations (Scopus)

• A high-performance spectral-spatial residual network for hyperspectral image classification with small training data

  Khotimah, W. N., Bennamoun, M., Boussaid, F., Sohel, F. & Edwards, D., Oct 2020, In : Remote Sensing. 12, 19, 3137.

  Research output: Contribution to journal › Article

  Open Access

  • image classification
  • normalization
  • spatial data
  • state of the art
  • speed

• A Multi-modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling

  Asif, U., Bennamoun, M. & Sohel, F., 1 Sep 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 9, p. 2051-2065

  Research output: Contribution to journal › Article

  • Labeling
  • Object
  • Neural networks
  • Invariant
  • Image classification
  17 Citations (Scopus)

• An Improved Colour-to-Grey Method Using Image Segmentation and the Colour Difference Model for Colour Vision Deficiency

  Zhang, L., Xu, Q., Zhu, G., Song, J., Zhang, X., Shen, P., Wei, W., Shah, S. A. & Bennamoun, M., 1 Mar 2018, In : IET Image Processing. 12, 3, p. 314 – 319 6 p.

  Research output: Contribution to journal › Article

  • Color vision
  • Image segmentation
  • Color
  10 Citations (Scopus)

• 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 Survey on Deep Learning Techniques for Stereo-based Depth Estimation

  Laga, H., Jospin, L. V., Boussaid, F. & Bennamoun, M., 22 Oct 2020, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. p. 1-1 28 p.

  Research output: Contribution to journal › Article

  • Depth Estimation
  • Deep learning
  • Learning
  • Community
  • Stereo Matching

• 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)

• 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)

• Automatic detection of western rock lobster using synthetic data

  Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R. & Kendrick, G., 1 Jul 2020, In : ICES Journal of Marine Science. 77, 4, p. 1308-1317 10 p.

  Research output: Contribution to journal › Article

  • automatic detection
  • lobster
  • lobsters
  • rocks
  • rock
  3 Citations (Scopus)

• Automatic hierarchical classification of kelps using deep residual features

  Mahmood, A., Ospina, A. G., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Fisher, R. B. & Kendrick, G. A., 2 Jan 2020, In : Sensors (Switzerland). 20, 2, 447.

  Research output: Contribution to journal › Article

  Open Access

  • Kelp
  • seaweeds
  • margins
  • organisms
  • Biota
  4 Citations (Scopus)

• Color vision deficiency datasets & recoloring evaluation using GANs

  Li, H., Zhang, L., Zhang, X., Zhang, M., Zhu, G., Shen, P., Li, P., Bennamoun, M. & Shah, S. A. A., 1 Oct 2020, In : Multimedia Tools and Applications. 79, 37-38

  Research output: Contribution to journal › Article

  • Color vision
  • Color
  • Screening
  • Bicycles
  • Testing

• 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)

• Deep Image Representations for Coral Image Classification

  Mahmood, A., Bennamoun, M., An, S., Sohel, F. A., Boussaid, F., Hovey, R., Kendrick, G. A. & Fisher, R. B., 12 Jan 2018, In : IEEE Journal of Oceanic Engineering. 11 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Reefs
  • Image classification
  • Autonomous underwater vehicles
  • Deep learning
  • Aquatic ecosystems
  17 Citations (Scopus)

  475 Downloads (Pure)

• 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)

• Diffusion geometry derived keypoints and local descriptors for 3D deformable shape analysis

  Wang, X., Bennamoun, M., Sohel, F. & Lei, H., 2020, In : Journal of Circuits, Systems and Computers. 2150016X-1.

  Research output: Contribution to journal › Article

  • Geometry
  • Hot Temperature
  • Detectors
  • Mobile computing
  • Experiments
  1 Citation (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)

• Efficient finer-grained incremental processing with MapReduce for big data

  Zhang, L., Feng, Y., Shen, P., Zhu, G., Wei, W., Song, J., Ali Shah, S. A. & Bennamoun, M., 1 Mar 2018, In : Future Generation Computer Systems. 80, p. 102-111 10 p.

  Research output: Contribution to journal › Article

  • Distributed computer systems
  • Big data
  • Cluster computing
  • Information technology
  • Wear of materials
  3 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)

• Evolutionary Feature Learning for 3D Object Recognition

  Shah, S. A. A., Bennamoun, M., Boussaid, F. & While, L., 2018, In : IEEE Access. 6, p. 2434-2444

  Research output: Contribution to journal › Article

  Open Access

  • Object recognition
  • Salix
  • Glossaries
  • Navigation
  • Robots
  7 Citations (Scopus)

• Exploiting layerwise convexity of rectifier networks with sign constrained weights

  An, S., Boussaid, F., Bennamoun, M. & Sohel, F., 1 Sep 2018, In : Neural Networks. 105, p. 419-430 12 p.

  Research output: Contribution to journal › Article

  Open Access

  • Weights and Measures
  • Discriminant Analysis
  • Statistical Factor Analysis

• 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)

• 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)

• 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)

• 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)

• 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 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 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)

• 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)

• 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

• 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)

• 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)

• Orthogonal Deep Models as Defense against Black-Box Attacks

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2020, In : IEEE Access. 8, p. 119744-119757 14 p., 9129688.

  Research output: Contribution to journal › Article

  Open Access

  • Deep learning
  • Computer vision

• RAFP-Pred: Robust Prediction of Antifreeze Proteins using Localized Analysis of n-Peptide Compositions

  Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 2018, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15, 1, p. 244-250

  Research output: Contribution to journal › Article

  • Antifreeze Proteins
  • prednylidene
  • Peptides
  • Protein
  • Proteins
  10 Citations (Scopus)

• Redundancy and Attention in Convolutional LSTM for Gesture Recognition

  Zhu, G., Zhang, L., Yang, L., Mei, L., Shah, S. A. A., Bennamoun, M. & Shen, P., Apr 2020, In : IEEE Transactions on Neural Networks and Learning Systems. 31, 4, p. 1323-1335 13 p., 8750878.

  Research output: Contribution to journal › Article

  • Long short-term memory
  • Gesture recognition
  • Redundancy
  • Convolution
  • Fusion reactions
  3 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)

• Robust regression for face recognition

  Naseem, I., Togneri, R. & Bennamoun, M., 2012, In : Pattern Recognition. 45, 1, p. 104-118

  Research output: Contribution to journal › Article

  • Linear regression
  • Face recognition
  • Lighting
  • Pixels
  • Speckle
  103 Citations (Scopus)

• Scale-Aware Feature Network for Weakly Supervised Semantic Segmentation

  Xu, L., Bennamoun, M., Boussaid, F. & Sohel, F., 21 Apr 2020, In : IEEE Access. 8, p. 75957-75967 11 p., 9075085.

  Research output: Contribution to journal › Article

  Open Access

  • Semantics
  • Volatile organic compounds
  • Image classification
  • Convolution
  • Image segmentation

• Semantic scene completion with dense CRF from a single depth image

  Zhang, L., Wang, L., Zhang, X., Shen, P., Bennamoun, M., Zhu, G., Shah, S. A. A. & Song, J., 27 Nov 2018, In : Neurocomputing. 318, p. 182-195 14 p.

  Research output: Contribution to journal › Article

  • Semantics
  • Robots
  • Linear Programming
  • Datasets
  • Linear programming
  7 Citations (Scopus)

• Single image dehazing using deep neural networks

  Hodges, C., Bennamoun, M. & Rahmani, H., 1 Dec 2019, In : Pattern Recognition Letters. 128, p. 70-77 8 p.

  Research output: Contribution to journal › Article

  • Deep neural networks
  • Deep learning
  • Network performance
  • Network architecture
  • Computer vision
  9 Citations (Scopus)