| Energy and performance trade-off optimization in heterogeneous computing via reinforcement learning Z Yu, P Machado, A Zahid, AM Abdulghani, K Dashtipour, H Heidari, ... Electronics 9 (11), 1812, 2020 | 36 | 2020 |
| Gesture recognition intermediary robot for abnormality detection in human activities SW Yahaya, A Lotfi, M Mahmud, P Machado, N Kubota 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1415-1421, 2019 | 21 | 2019 |
| Emulation of chemical stimulus triggered head movement in the C. elegans nematode A Costalago-Meruelo, P Machado, K Appiah, A Mujika, P Leskovsky, ... Journal of Neurocomputing, 2018 | 13 | 2018 |
| Si elegans: FPGA Hardware Emulation of C. elegans Nematode Nervous System P Machado, JJ Wade, TM McGinnity 2014 Sixth World Congress on Nature and Biologically Inspired Computing …, 2014 | 12 | 2014 |
| Object recognition for robotics from tactile time series data utilising different neural network architectures W Bottcher, P Machado, N Lama, TM McGinnity 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 11 | 2021 |
| The Si elegans Project – The Challenges and Prospects of Emulating Caenorhabditis elegans AB Blau, F Callaly, S Cawley, A Coffey, A De Mauro, G Epelde, L Ferrara, ... Biomimetic and Biohybrid Systems 8608, 436-438, 2014 | 10 | 2014 |
| Benchmarking edge computing devices for grape bunches and trunks detection using accelerated object detection single shot multibox deep learning models SC Magalhães, FN dos Santos, P Machado, AP Moreira, J Dias Engineering Applications of Artificial Intelligence 117, 105604, 2023 | 9 | 2023 |
| HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture P Machado, A Oikonomou, JF Ferreira, TM Mcginnity IEEE Access 9, 125258-125268, 2021 | 9 | 2021 |
| Sensing and Artificial Perception for Robots in Precision Forestry: A Survey JF Ferreira, D Portugal, ME Andrada, P Machado, RP Rocha, P Peixoto Robotics 12 (5), 139, 2023 | 8 | 2023 |
| Natcsnn: A convolutional spiking neural network for recognition of objects extracted from natural images P Machado, G Cosma, TM McGinnity Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019 | 8 | 2019 |
| Si elegans: Hardware Architecture and Communications Protocol P Machado, JJ Wade, K Appiah, TM McGinnity The 2015 International Joint Conference on Neural Networks, 3473-3479, 2015 | 7 | 2015 |
| Mitigating adversarial attacks in deepfake detection: An exploration of perturbation and ai techniques S Dhesi, L Fontes, P Machado, IK Ihianle, FF Tash, DA Adama arXiv preprint arXiv:2302.11704, 2023 | 5 | 2023 |
| Exploring Neural Principles with Si elegans, a Neuromimetic Representation of the Nematode Caenorhabditis elegans JW Axel Blau, Frank Callaly, Seamus Cawley, Aedan Coffey, Alessandro de ... 2nd International Congress on Neurotechnology, Electronics and Informatics …, 2014 | 5* | 2014 |
| Enhancing Stress Detection: A Comprehensive Approach through rPPG Analysis and Deep Learning Techniques L Fontes, P Machado, D Vinkemeier, S Yahaya, JJ Bird, IK Ihianle Sensors 24 (4), 1096, 2024 | 4 | 2024 |
| C. elegans Behavioural Response Germane to Hardware Modelling K Appiah, P Machado, TM Costalago Meruelo, Alicia, McGinnity C. elegans Behavioural Response Germane to Hardware Modelling, 4743 - 4750, 2016 | 4 | 2016 |
| Minimising redundancy, maximising relevance: HRV feature selection for stress classification IK Ihianle, P Machado, K Owa, DA Adama, R Otuka, A Lotfi Expert Systems with Applications 239, 122490, 2024 | 3 | 2024 |
| Robotics use case scenarios P Machado, J Bonnell, S Brandenbourg, JF Ferreira, D Portugal, ... Towards Ubiquitous Low-power Image Processing Platforms, 151-173, 2021 | 3 | 2021 |
| Object classification for robotic platforms S Brandenburg, P Machado, P Shinde, JF Ferreira, TM McGinnity Robot 2019: Fourth Iberian Robotics Conference: Advances in Robotics, Volume …, 2020 | 3 | 2020 |
| Si elegans: Modeling the C. elegans Nematode Nervous System Using High Performance FPGAS P Machado, JJ Wade, TM McGinnity Advances in Neurotechnology, Electronics and Informatics 12, pp 31-45, 2015 | 3 | 2015 |
| Estimating the power consumption of heterogeneous devices when performing AI Inference P Machado, I Matic, F de Lemos, IK Ihianle, DA Adama arXiv preprint arXiv:2207.06150, 2022 | 2 | 2022 |
Thomas Martin McGinnityUlster在 ulster.ac.uk 的电子邮件经过验证
