Technical Note: Phantom-based training framework for convolutional neural network CT noise reduction.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16093
Abstract: BACKGROUND Deep artificial neural networks such as convolutional neural networks (CNNs) have been shown to be effective models for reducing noise in CT images while preserving anatomic details. A practical bottleneck for developing CNN-based denoising… read more here.
Keywords: based training; training framework; noise; phantom based ... See more keywords
A constructivist and pragmatic training framework for blockchain education for IT practitioners
Sign Up to like & getrecommendations! Published in 2024 at "Education and Information Technologies"
DOI: 10.1007/s10639-024-12505-5
Abstract: Blockchain is a newly emerging technology in the past decade that has significantly impacted various aspects. “Scientific popularization” among IT practitioners on this technology and its use cases become a pressing need. However, constructing an… read more here.
Keywords: education; framework; training framework; blockchain ... See more keywords
ZeUS: An Unified Training Framework for Constrained Neural Machine Translation
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3454510
Abstract: Unlike general translation, constrained translation necessitates the proper use of predefined restrictions, such as specific terminologies and entities, during the translation process. However, current neural machine translation (NMT) models exhibit proficient performance solely in the… read more here.
Keywords: constrained translation; machine translation; neural machine; translation ... See more keywords
Universal and Efficient Adversarial Training Framework With Membership Inference Resistance
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2025.3551762
Abstract: Adversarial training is an effective approach to enhance the robustness of machine learning models via adding adversarial examples into the training phase. However, existing adversarial training methods increase the advantage of membership inference attacks, which… read more here.
Keywords: training framework; training; adversarial training; membership inference ... See more keywords
A Co-Training Framework for Heterogeneous Heuristic Domain Adaptation.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3212924
Abstract: The purpose of this article is to address unsupervised domain adaptation (UDA) where a labeled source domain and an unlabeled target domain are given. Recent advanced UDA methods attempt to remove domain-specific properties by separating… read more here.
Keywords: heterogeneous heuristic; domain adaptation; framework heterogeneous; domain ... See more keywords
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2022.3233226
Abstract: Neural chat translation (NCT) aims to translate a cross-lingual chat between speakers of different languages. Existing context-aware NMT models cannot achieve satisfactory performances due to the following inherent problems: 1) limited resources of annotated bilingual… read more here.
Keywords: chat translation; training; multi; stage ... See more keywords
The Development of a Personalised Training Framework: Implementation of Emerging Technologies for Performance
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Functional Morphology and Kinesiology"
DOI: 10.3390/jfmk4020025
Abstract: Over the last decade, there has been considerable interest in the individualisation of athlete training, including the use of genetic information, alongside more advanced data capture and analysis techniques. Here, we explore the evidence for,… read more here.
Keywords: personalised training; development personalised; emerging technologies; training ... See more keywords