| Deep learning-based artificial vision for grasp classification in myoelectric hands G Ghazaei, A Alameer, P Degenaar, G Morgan, K Nazarpour Journal of neural engineering 14 (3), 036025, 2017 | 166 | 2017 |
| Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs A Alameer, I Kyriazakis, J Bacardit Scientific Reports 10 (1), 1-15, 2020 | 41 | 2020 |
| Automatic recognition of feeding and foraging behaviour in pigs using deep learning A Alameer, I Kyriazakis, HA Dalton, AL Miller, J Bacardit Biosystems Engineering 197, 91-104, 2020 | 35 | 2020 |
| An exploratory study on the use of convolutional neural networks for object grasp classification G Ghazaei, A Alameer, P Degenaar, G Morgan, K Nazarpour Intelligent Signal Processing (ISP) Conference, 5.-5., 2015 | 27 | 2015 |
| Object recognition with an elastic net-regularized hierarchical MAX model of the visual cortex A Alameer, G Ghazaei, P Degenaar, JA Chambers, K Nazarpour IEEE Signal Processing Letters 23 (8), 1062-1066, 2016 | 19 | 2016 |
| Incoherent dictionary pair learning: Application to a novel open-source database of chinese numbers V Abolghasemi, M Chen, A Alameer, S Ferdowsi, J Chambers, ... IEEE Signal Processing Letters 25 (4), 472-476, 2018 | 16 | 2018 |
| An elastic net-regularized HMAX model of visual processing A Alameer, G Ghazaei, P Degenaar, K Nazarpour Intelligent Signal Processing (ISP) Conference, 4.-4., 2015 | 10 | 2015 |
| Objects and scenes classification with selective use of central and peripheral image content A Alameer, P Degenaar, K Nazarpour Journal of Visual Communication and Image Representation 66, 102698, 2020 | 5 | 2020 |
| Context-based object recognition: Indoor versus outdoor environments A Alameer, P Degenaar, K Nazarpour Advances in Computer Vision: Proceedings of the 2019 Computer Vision …, 2020 | 5 | 2020 |
| ECG Signal Diagnoses Using Intelligent Systems Based on FPGA HAR Akkar, A Alameer Engineering and Technology Journal 31 (7), 1351-1364, 2013 | 4 | 2013 |
| Processing occlusions using elastic-net hierarchical max model of the visual cortex A Alameer, P Degenaar, K Nazarpour 2017 IEEE International Conference on INnovations in Intelligent SysTems and …, 2017 | 3 | 2017 |
| Biologically-inspired object recognition system for recognizing natural scene categories A Alameer, P Degenaar, K Nazarpour 2016 International Conference for Students on Applied Engineering (ICSAE …, 2016 | 3 | 2016 |
| Labeled projective dictionary pair learning: application to handwritten numbers recognition R Ameri, A Alameer, S Ferdowsi, K Nazarpour, V Abolghasemi Information Sciences 609, 489-506, 2022 | 2 | 2022 |
| Biologically-inspired hierarchical architectures for object recognition A Alameer Newcastle University, 2018 | 2 | 2018 |
| Automated detection and quantification of contact behaviour in pigs using deep learning A Alameer, S Buijs, N O'Connell, L Dalton, M Larsen, L Pedersen, ... Biosystems Engineering 224, 118-130, 2022 | 1 | 2022 |
| Classification of handwritten chinese numbers with convolutional neural networks R Ameri, A Alameer, S Ferdowsi, V Abolghasemi, K Nazarpour 2021 5th International Conference on Pattern Recognition and Image Analysis …, 2021 | 1 | 2021 |
| Toward the automated detection of behavioral changes associated with the post-weaning transition in pigs I Kyriazakis, A Alameer, K Bučková, R Muns Frontiers in Veterinary Science 9, 2023 | | 2023 |
| Automated recognition of postures for the detection of compromised health pig A Alameer, I Kyriazakis, J Barcardit 71st Annual Meeting of European Federation of Animal Science, 2020 | | 2020 |
| Classification of Handwritten Numbers with Labeled Projective Dictionary Pair Learning R Ameri, A Alameer, S Ferdowsi, K Nazarpour, V Abolghasemi | | 2020 |
| Classification of Chinese Handwritten Numbers with Labeled Projective Dictionary Pair Learning R Ameri, A Alameer, S Ferdowsi, K Nazarpour, V Abolghasemi arXiv preprint arXiv:2003.11700, 2020 | | 2020 |
Kianoush NazarpourProfessor of Digital Health, University of EdinburghVerified email at ed.ac.uk
