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LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
Alkhalefi, M. A. M. A. A., Leontidis, G., Zhong, M.
Working Papers and Discussion Papers
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https://arxiv.org/pdf/2403.06813.pdf
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http://aura.abdn.ac.uk/bitstream/2164/23100/1/2403.06813.pdf
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Temporal properties of self-prioritization
Lu, Z., He, X., Yi, D., Sui, J.
Entropy, vol. 26, no. 3, 242
Contributions to Journals: Articles
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https://doi.org/10.3390/e26030242
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http://aura.abdn.ac.uk/bitstream/2164/22982/1/Lu_etal_E_Temporal_Properties_Of_VoR.pdf
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Masked Capsule Autoencoders
Everett, M. A., Zhong, M., Leontidis, G.
Working Papers and Discussion Papers
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https://doi.org/10.48550/arXiv.2403.04724
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http://aura.abdn.ac.uk/bitstream/2164/23069/1/Masked_Capsule_Autoencoders.pdf
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Coordinate-Aware Mask R-CNN with Group Normalization: A Underwater Marine Animal Instance Segmentation Framework
Yi, D., Ahmedov, H. B., Jiang, S., Li, Y., Flinn, S. J., Fernandes, P. G.
Neurocomputing, 127488
Contributions to Journals: Articles
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https://doi.org/10.1016/j.neucom.2024.127488
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A multi-farm global to local expert-informed machine learning system for strawberry yield forecasting
Beddows, M. A., Leontidis, G.
Working Papers and Discussion Papers
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https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4747534
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http://aura.abdn.ac.uk/bitstream/2164/23099/1/SSRN-id4747534.pdf
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PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation
Zhao, X., Yang, Z., Dai, T., Zhang, B., Xiao, J.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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An improved brain storm optimization with chunking-grouping method
Guo, J., Gao, C., Jiang, S., Xie, W., Wu, Z.
Concurrency and Computation: Practice and Experience, vol. 36, no. 4, e7924
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https://doi.org/10.1002/cpe.7924
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Robust distance measurement using illumination map estimation and MAHNet in underground coal mines
Zhang, J., Li, J., Liu, H., Wang, H., Yi, D., Liu, X., Li, Q.
Measurement Science and Technology
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https://doi.org/10.1088/1361-6501/ad25e0
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A Mahalanobis Distance-based Approach for Dynamic Multi-objective Optimization with Stochastic Changes
Hu, Y., Zheng, J., Jiang, S., Yang, S., Zou, J., Wang, R.
IEEE Transactions on Evolutionary Computation, vol. 28, no. 1, pp. 238-251
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https://doi.org/10.1109/TEVC.2023.3253850
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Cross Domain Policy Transfer with Effect Cycle-Consistency
Zhu, R., Dai, T., Celiktutan, O.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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High Resolution Image Quality Database
Huang, H., Wan, Q., Korhonen, J.
Working Papers and Discussion Papers
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https://doi.org/10.48550/arXiv.2401.16087
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http://aura.abdn.ac.uk/bitstream/2164/22858/1/2401.16087v1.pdf
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Wavelet-based Network for High Dynamic Range Imaging
Dai, T., Li, W., Cao, X., Liu, J., Jia, X., Leonardis, A., Yan, Y., Yuan, S.
Computer Vision and Image Understanding, 103881
Contributions to Journals: Articles
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https://www.sciencedirect.com/science/article/pii/S1077314223002618
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https://doi.org/10.1016/j.cviu.2023.103881
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http://aura.abdn.ac.uk/bitstream/2164/22160/1/Dai_Etal_CVIU_Wavelet-based_Network_For_VOR.pdf
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Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation
Wu, W., Dai, T., Huang, X., Ma, F., Xiao, J.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.48550/arXiv.2310.09760
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Learning to Solve Tasks with Exploring Prior Behaviour
Zhu, R., Li, S., Dai, T., Zhang, C., Celiktutan, O.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.1109/IROS55552.2023.10342272
- Open Access
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http://aura.abdn.ac.uk/bitstream/2164/22710/1/IROS_2023.pdf
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Label-free Medical Image Quality Evaluation by Semantics-aware Contrastive Learning in IoMT
Yi, D., Hua, Y., Murchie, P., Sharma, P.
IEEE journal of biomedical and health informatics
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https://doi.org/10.1109/JBHI.2023.3340201
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http://aura.abdn.ac.uk/bitstream/2164/22588/1/Yi_etal_JBHI_Label-Free_Medical_Image_AAM.pdf
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View publication in Scopus
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Model pruning enables localized and efficient federated learning for yield forecasting and data sharing
Li, A. H., Markovic, M., Edwards, P., Leontidis, G.
Expert Systems with Applications, vol. 242, pp. 1-12
Contributions to Journals: Articles
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https://doi.org/10.1016/j.eswa.2023.122847
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http://aura.abdn.ac.uk/bitstream/2164/22372/1/Leontidis_1-s2.0-S0957417423033493-main.pdf
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https://www.sciencedirect.com/science/article/pii/S0957417423033493
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ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method
Everett, M. A., Zhong, M., Leontidis, G.
Transactions on Machine Learning Research, pp. 1-13
Contributions to Journals: Articles
- Open Access
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http://aura.abdn.ac.uk/bitstream/2164/22359/1/1535_protocaps_a_fast_and_non_itera.pdf
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https://openreview.net/pdf?id=Id10mlBjcx
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Smartphone-based extendable telematic data collection app
Peter, T. I., Reiter, E., Yi, D.
Software Impacts, vol. 19, 100601
Contributions to Journals: Articles
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https://doi.org/10.1016/j.simpa.2023.100601
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http://aura.abdn.ac.uk/bitstream/2164/22510/1/Thompson_etal_SI_Smartphone_based_extendable_VOR.pdf
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View publication in Scopus
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LLEDA—Lifelong Self-Supervised Domain Adaptation
Thota, M., Yi, D., Leontidis, G.
Knowledge-Based Systems, vol. 279, 110959
Contributions to Journals: Articles
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https://doi.org/10.1016/j.knosys.2023.110959
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http://aura.abdn.ac.uk/bitstream/2164/21633/1/Leontidis_KBS_2023.pdf
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Half of an image is enough for quality assessment
You, J., Lin, Y., Korhonen, J.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.1109/ICIP49359.2023.10223124
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MFANet: Mixed Feature Attention Network for Port Lane Detection
Zhang, J., Su, J., Yi, D., Yang, J.
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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https://doi.org/10.23919/CCC58697.2023.10240831
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Compound Scaling Encoder-Decoder (CoSED) Network for Diabetic Retinopathy Related Bio-marker Detection
Yi, D., Baltov, P., Hua, Y., Philip, S., Sharma, P. K.
IEEE journal of biomedical and health informatics
Contributions to Journals: Articles
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https://doi.org/10.1109/JBHI.2023.3313785
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http://aura.abdn.ac.uk/bitstream/2164/21967/1/Yi_etal_IEEEJBHI_Compound_Scalling_Encoder_AAM.pdf
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Tabular Machine Learning Methods for Predicting Gas Turbine Emissions
Potts, R. L., Hackney, R., Leontidis, G.
Machine Learning and Knowledge Extraction, vol. 5, no. 3, pp. 1055-1075
Contributions to Journals: Articles
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https://doi.org/10.3390/make5030055
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http://aura.abdn.ac.uk/bitstream/2164/21518/1/make_05_00055.pdf
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A Deep Learning Approach to Self-prioritization Processing
Lu, Z., Yi, D., He, X., Sui, J.
Contributions to Conferences: Papers
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Domain-adapted driving scene understanding with uncertainty-aware and diversified generative adversarial networks
Hua, Y., Sui, J., Fang, H., Hu, C., Yi, D.
CAAI Transactions on Intelligence Technology
Contributions to Journals: Articles
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https://doi.org/10.1049/cit2.12257
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http://aura.abdn.ac.uk/bitstream/2164/21947/1/Hua_etal_CAAITIT_Domain-adapted_Driving_Scene_VOR.pdf
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View publication in Scopus