The current paper proposes a new approach for peripheral speech emotion analysis and gender estimation incorporating the best machine learning architectures such as CNNs and LSTMs. Its correct depiction of emotions an...
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In this study we propose and evaluate AtheroRisk, a standalone integrated computer software system for the analysis of carotid B-mode ultrasound (U/S) images and videos. Our goal was to provide a tool to help physicia...
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Big data processing frameworks demands for scalable and efficient cluster management. Apache Spark has emerged as prominent big data processing framework providing high-speed data processing and analytics capabilities...
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Self-service technology framework was developed for implementation at Tarakan Hospital, Jakarta, an institution under the administration of the DKI Jakarta provincial government that previously lacked such autonomous ...
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Imaging genetics is one of the important keys to precision medicine that leads to personalized treatment based on a patient’s genetics, phenotype, or psychosocial characteristics. It deepens the understanding of the ...
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As more than 70% of reviews in the existing opinion summary data set are positive, current opinion summarization approaches are hesitant to generate negative summaries given the input of negative texts. To address suc...
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Usually, Stemmers are manually created by native target language speakers, on the basis of rules for suffix stripping or replacements. In such cases linguistic knowledge of the target language is a requirement. There ...
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ISBN:
(纸本)9798400713170
Usually, Stemmers are manually created by native target language speakers, on the basis of rules for suffix stripping or replacements. In such cases linguistic knowledge of the target language is a requirement. There are also approaches for automatic creation of stemmers. The later approaches are usually based on statistical processing of text corpuses to calculate the occurrences and other metrics for stems and affixes. In such cases linguistic knowledge of the target language is not needed. We have invented a semi-automatic methodology (and we have made an equivalent implementation) for Stemmer generation that neither linguistic knowledge of target language nor statistical processing of corpuses is needed. In our approach only Information Retrieval expertise is needed. Here we are evaluating our approach against the rule-based (linguistic-knowledge-based) approach. To do so we evaluate two stemmers by a native speaker of the target (Polish) language. The first Stemmer is rule-based (it incorporates linguistic knowledge of Polish language) and the second one is based on our methodology (only the experience of Information Retrieval Experts is incorporated). The results are interesting and hard to wait for, they are in favor of our methodology.
Printed Electronics (PE) technology has emerged as a promising alternative to silicon-based computing. It offers attractive properties such as on-demand ultra-low-cost fabrication, mechanical flexibility, and conforma...
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Printed Electronics (PE) provide a mechanically flexible and cost-effective solution for machine learning (ML) circuits, compared to silicon-based technologies. However, due to large feature sizes, printed classifiers...
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