Search Results - "Yapp, Edward Kien Yee"
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DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes
Published in Neurocomputing (Amsterdam) (29-01-2020)“…An electron transport chain is a series of protein complexes embedded in the transport protein, which is an important process to transfer electrons and other…”
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ET-GRU: using multi-layer gated recurrent units to identify electron transport proteins
Published in BMC bioinformatics (06-07-2019)“…Electron transport chain is a series of protein complexes embedded in the process of cellular respiration, which is an important process to transfer electrons…”
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Autonomous Cross Domain Adaptation Under Extreme Label Scarcity
Published in IEEE transaction on neural networks and learning systems (01-10-2023)“…A cross domain multistream classification is a challenging problem calling for fast domain adaptations to handle different but related streams in never-ending…”
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Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles
Published in Computer methods and programs in biomedicine (01-08-2019)“…•A deep learning technique for identifying molecular functions of clathrin with high performance.•The proposed idea is to transform the position-specific…”
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Incorporating convolutional neural networks and sequence graph transform for identifying multilabel protein Lysine PTM sites
Published in Chemometrics and intelligent laboratory systems (15-11-2020)“…Protein post-translational modification (PTM) is a process where proteins, after being created, are modified through chemical processes in the body. Some…”
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XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma
Published in Journal of personalized medicine (15-09-2020)“…Approximately 96% of patients with glioblastomas (GBM) have IDH1 wildtype GBMs, characterized by extremely poor prognosis, partly due to resistance to standard…”
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Classifying Promoters by Interpreting the Hidden Information of DNA Sequences via Deep Learning and Combination of Continuous FastText N-Grams
Published in Frontiers in bioengineering and biotechnology (05-11-2019)“…A promoter is a short region of DNA (100–1,000 bp) where transcription of a gene by RNA polymerase begins. It is typically located directly upstream or at the…”
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Computational identification of vesicular transport proteins from sequences using deep gated recurrent units architecture
Published in Computational and structural biotechnology journal (01-01-2019)“…[Display omitted] Protein function prediction is one of the most well-studied topics, attracting attention from countless researchers in the field of…”
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Online Semisupervised Learning Approach for Quality Monitoring of Complex Manufacturing Process
Published in Complexity (New York, N.Y.) (2021)“…Data-driven quality monitoring is highly demanded in practice since it enables relieving manual quality inspection of the product quality. Conventional…”
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Unsupervised Probability Matching for Quality Estimation with Partial Information in a Multiple-Instances, Single-Output Scenario
Published in 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA) (09-11-2020)“…A new learning problem is presented in this study based on an injection moulding dataset from the semiconductor industry. Multiple instances share a single…”
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Conference Proceeding -
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Continual learning via inter-task synaptic mapping
Published in Knowledge-based systems (21-06-2021)“…Learning from streaming tasks leads a model to catastrophically erase unique experiences it absorbs from previous episodes. While regularization techniques…”
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Autonomous Cross Domain Adaptation under Extreme Label Scarcity
Published 04-09-2022“…IEEE Transactions on Neural Networks and Learning Systems, 2022 A cross domain multistream classification is a challenging problem calling for fast domain…”
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Continual Learning via Inter-Task Synaptic Mapping
Published 26-06-2021“…Knowledge-based Systems, 2021 Learning from streaming tasks leads a model to catastrophically erase unique experiences it absorbs from previous episodes. While…”
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ACDC: Online unsupervised cross-domain adaptation
Published in Knowledge-based systems (11-10-2022)“…We consider the problem of online unsupervised cross-domain adaptation, where two independent but related data streams with different feature spaces – a fully…”
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iMotor-CNN: Identifying molecular functions of cytoskeleton motor proteins using 2D convolutional neural network via Chou's 5-step rule
Published in Analytical biochemistry (15-06-2019)“…Motor proteins are the driving force behind muscle contraction and are responsible for the active transportation of most proteins and vesicles in the…”
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iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding
Published in Analytical biochemistry (15-04-2019)“…An enhancer is a short (50–1500bp) region of DNA that plays an important role in gene expression and the production of RNA and proteins. Genetic variation in…”
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Quality monitoring for injection moulding process using a semi-supervised learning approach
Published in IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society (13-10-2021)“…In mass production, supervised machine learning schemes may not be applicable directly in many cases due to insufficient labelled dataset, especially for…”
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Conference Proceeding -
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iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding
Published in Analytical biochemistry (15-04-2019)Get full text
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Cross-Domain Continual Learning via CLAMP
Published 11-05-2024“…Artificial neural networks, celebrated for their human-like cognitive learning abilities, often encounter the well-known catastrophic forgetting (CF) problem,…”
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Autonomous Deep Quality Monitoring in Streaming Environments
Published 26-06-2021“…International Joint Conference on Neural Networks, 2021 The common practice of quality monitoring in industry relies on manual inspection well-known to be…”
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