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Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem
Akrim, Anass, Gogu, Christian, Vingerhoeds, Rob, Salaün, Michel
Published in Engineering applications of artificial intelligence (01.04.2023)
Published in Engineering applications of artificial intelligence (01.04.2023)
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Handling Data Scarcity Through Data Augmentation in Training of Deep Neural Networks for 3D Data Processing
Srivastava, Akhilesh Mohan, Rotte, Priyanka Ajay, Jain, Arushi, Prakash, Surya
Published in International journal on semantic web and information systems (01.01.2022)
Published in International journal on semantic web and information systems (01.01.2022)
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Reliability assessment of water structures subject to data scarcity using the SCS-CN model
Awadallah, Ayman G., Saad, Haitham, Elmoustafa, Ashraf, Hassan, Ahmed
Published in Hydrological sciences journal (11.03.2016)
Published in Hydrological sciences journal (11.03.2016)
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Semi-supervised methodologies to tackle the annotated data scarcity problem in the field of HAR
Presotto, Riccardo
Published in Proceedings / IEEE International Conference on Mobile Data Management (01.06.2021)
Published in Proceedings / IEEE International Conference on Mobile Data Management (01.06.2021)
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Conference Proceeding
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A hierarchical Bayesian approach for assessing infrastructure networks serviceability under uncertainty: A case study of water distribution systems
Yu, Jin-Zhu, Whitman, Mackenzie, Kermanshah, Amirhassan, Baroud, Hiba
Published in Reliability engineering & system safety (01.11.2021)
Published in Reliability engineering & system safety (01.11.2021)
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Generative Artificial Intelligence Enhancements for Reducing Image-based Training Data Requirements
Chen, Dake, Han, Ying, Duncan, Jacque, Jia, Lin, Shan, Jing
Published in Ophthalmology science (Online) (01.09.2024)
Published in Ophthalmology science (Online) (01.09.2024)
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A 'Human-in-the-Loop' approach for Information Extraction from Privacy Policies under Data Scarcity
Gebauer, Michael, Maschhur, Faraz, Leschke, Nicola, Grunewald, Elias, Pallas, Frank
Published in IEEE European Symposium on Security and Privacy Workshops (Online) (01.07.2023)
Published in IEEE European Symposium on Security and Privacy Workshops (Online) (01.07.2023)
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Conference Proceeding
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Keynote: Data Scarcity in Sensor-Based Human Activity Recognition
Civitarese, Gabriele
Published in IEEE International Conference on Pervasive Computing and Communications workshops (Online) (13.03.2023)
Published in IEEE International Conference on Pervasive Computing and Communications workshops (Online) (13.03.2023)
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Conference Proceeding
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A Human-in-the-Loop Approach for Information Extraction from Privacy Policies under Data Scarcity
Gebauer, Michael, Maschhur, Faraz, Leschke, Nicola, Grünewald, Elias, Pallas, Frank
Year of Publication 24.05.2023
Year of Publication 24.05.2023
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Fusion of biomedical imaging studies for increased sample size and diversity: a case study of brain MRI
Aiskovich, Matias, Castro, Eduardo, Reinen, Jenna M., Fadnavis, Shreyas, Mehta, Anushree, Li, Hongyang, Dhurandhar, Amit, Cecchi, Guillermo A., Polosecki, Pablo
Published in Frontiers in radiology (2024)
Published in Frontiers in radiology (2024)
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Overcoming Data Scarcity in Speaker Identification: Dataset Augmentation with Synthetic MFCCs via Character-level RNN
Bird, Jordan J., Faria, Diego R., Premebida, Cristiano, Ekart, Aniko, Ayrosa, Pedro P. S.
Published in 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) (01.04.2020)
Published in 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) (01.04.2020)
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Conference Proceeding
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LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity
Bird, Jordan J, Faria, Diego R, Ekárt, Anikó, Premebida, Cristiano, Ayrosa, Pedro P. S
Year of Publication 01.07.2020
Year of Publication 01.07.2020
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Self-supervised contrastive learning for EEG-based cross-subject motor imagery recognition
Li, Wenjie, Li, Haoyu, Sun, Xinlin, Kang, Huicong, An, Shan, Wang, Guoxin, Gao, Zhongke
Published in Journal of neural engineering (01.04.2024)
Published in Journal of neural engineering (01.04.2024)
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Heterogeneous transfer learning model for improving the classification performance of fNIRS signals in motor imagery among cross-subject stroke patients
Feng, Jin, Li, YunDe, Huang, ZiJun, Chen, Yehang, Lu, SenLiang, Hu, RongLiang, Hu, QingHui, Chen, YuYao, Wang, XiMiao, Fan, Yong, He, Jing
Published in Frontiers in human neuroscience (27.03.2025)
Published in Frontiers in human neuroscience (27.03.2025)
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