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Z2F: Heterogeneous graph-based Android malware detection.

PloS one Mar 28, 2024
Android malware is becoming more common, and its invasion of smart devices has brought immeasurable losses to people's lives. Most existing Android malware detection methods extract Android features from the original application files without conside...
Semantic Differential Neural Networks, Computer Records Semantics Humans
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Automated detection and recognition system for chewable food items using advanced deep learning models.

Scientific reports Mar 19, 2024
Identifying and recognizing the food on the basis of its eating sounds is a challenging task, as it plays an important role in avoiding allergic foods, providing dietary preferences to people who are restricted to a particular diet, showcasing its cu...
Humans Deep Learning Recognition, Psychology Records Mental Recall Food
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Using sequences of life-events to predict human lives.

Nature computational science Dec 18, 2023
Here we represent human lives in a way that shares structural similarity to language, and we exploit this similarity to adapt natural language processing techniques to examine the evolution and predictability of human lives based on detailed event se...
Humans Algorithms Records Natural Language Processing
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Finding the best trade-off between performance and interpretability in predicting hospital length of stay using structured and unstructured data.

PloS one Nov 30, 2023
OBJECTIVE: This study aims to develop high-performing Machine Learning and Deep Learning models in predicting hospital length of stay (LOS) while enhancing interpretability. We compare performance and interpretability of models trained only on struct...
Length of Stay Records Critical Care Humans Machine Learning Neural Networks, Computer
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iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease.

PLoS computational biology Sep 11, 2023
Different genes form complex networks within cells to carry out critical cellular functions, while network alterations in this process can potentially introduce downstream transcriptome perturbations and phenotypic variations. Therefore, developing e...
Learning Deep Learning Brain Records
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RNA contact prediction by data efficient deep learning.

Communications biology Sep 6, 2023
On the path to full understanding of the structure-function relationship or even design of RNA, structure prediction would offer an intriguing complement to experimental efforts. Any deep learning on RNA structure, however, is hampered by the sparsit...
Deep Learning RNA Animals Thoracica Records Neural Networks, Computer
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A Robot-Assisted Framework for Rehabilitation Practices: Implementation and Experimental Results.

Sensors (Basel, Switzerland) Sep 4, 2023
One of the most interesting characteristics of collaborative robots is their ability to be used in close cooperation scenarios. In industry, this facilitates the implementation of human-in-loop workflows. However, this feature can also be exploited i...
Records Robotics Exercise Industry Humans Motion
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Automatic Detection of Dyspnea in Real Human-Robot Interaction Scenarios.

Sensors (Basel, Switzerland) Sep 1, 2023
A respiratory distress estimation technique for telephony previously proposed by the authors is adapted and evaluated in real static and dynamic HRI scenarios. The system is evaluated with a telephone dataset re-recorded using the robotic platform de...
Dyspnea Records Humans Robotics
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Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity.

PloS one Aug 31, 2023
Several studies demonstrate that the structure of the brain increases in hierarchical complexity throughout development. We tested if the structure of artificial neural networks also increases in hierarchical complexity while learning a developing ta...
Records Brain Neural Networks, Computer Biological Evolution Computer Simulation
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Annotated dataset creation through large language models for non-english medical NLP.

Journal of biomedical informatics Aug 23, 2023
Obtaining text datasets with semantic annotations is an effortful process, yet crucial for supervised training in natural language processing (NLP). In general, developing and applying new NLP pipelines in domain-specific contexts for tasks often req...
Records Supervised Machine Learning Semantics Natural Language Processing Language
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