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Improving clinical documentation: automatic inference of ICD-10 codes from patient notes using BERT model
Published 2023“…ICD-10 is system physicians and other healthcare providers use to classify and code all diagnoses and symptom records in conjunction with hospital care. …”
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Associative memory neural networks for error correction of linear block codes
Published 1995Get full text
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Ghost-NeRV: Efficient Neural Video Representation via Ghost Convolutions
Published 2026Subjects: “…Neural video representation…”
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PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networks
Published 2022“…</p><h3>Methods</h3><p dir="ltr">The architecture of PredictPTB employs recurrent neural networks (RNNs) to model the longitudinal patient’s EHR visits and exploits a single code-level attention mechanism to improve the predictive performance, while providing temporal code-level and visit-level explanations for the prediction results. …”
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Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation
Published 2026Subjects: “…Neural video representation…”
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CNN and HEVC Video Coding Features for Static Video Summarization
Published 2022Subjects: “…Convolution neural network…”
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Static Video Summarization Using Video Coding Features with Frame-level Temporal Sub-Sampling and Deep Learning
Published 2023Subjects: Get full text
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Code-Mixed Street Address Recognition and Accent Adaptation for Voice-Activated Navigation Services
Published 2024Subjects: -
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Detection of helicopters using neural nets
Published 2001“…Artificial neural networks (ANNs), in combination with parametric spectral representation techniques, are applied for the detection of helicopter sound. …”
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Modelling fatigue uncertainty by means of nonconstant variance neural networks
Published 2022“…Among ML techniques, the use of probabilistic neural networks (PNNs) has recently emerged as a candidate for modelling fatigue applications. …”
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Untrained Neural Network Priors for Inverse Imaging Problems: A Survey
Published 2022“…Recently, a new paradigm of training deep models using a single image, named untrained neural network prior (UNNP) has been proposed to solve a variety of inverse tasks, e.g., restoration and inpainting. …”
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Modeling Software System Interactions Using Temporal Graphs and Graph Neural Networks
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Automatic Video Summarization Using HEVC and CNN Features
Published 2022Subjects: Get full text
doctoralThesis