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Automating Ontology Mapping in IT Service Management: A DOLCE and ITSMO Integration
Data Science JournalBackground: Ontologies and knowledge graphs have become critical for structuring data into machine-interpretable knowledge, especially in dynamic domains like IT service management (ITSM). Traditional ontology engineering relies heavily on domain experts,
Andrey Khalov, Olga Ataeva
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A Pipeline for Rapid Post-Crisis Twitter Data Acquisition, Filtering and Visualization
Technologies, 2019 Due to instant availability of data on social media platforms like Twitter, and advances in machine learning and data management technology, real-time crisis informatics has emerged as a prolific research area in the last decade.
Mayank Kejriwal, Yao Gu
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TomographyObjectives: Kidneytumors, particularly renal cell carcinoma (RCC), represent a critical public health concern due to their prevalence and the severe consequences of late diagnosis.
Mansourah Aljohani
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Nearest Embedded and Embedding Self-Nested Trees [PDF]
Algorithms, 2019 Self-nested trees present a systematic form of redundancy in their subtrees and thus achieve optimal compression rates by directed acrylic graph (DAG) compression. A method for quantifying the degree of self-similarity of plants through self-nested trees was introduced by Godin and Ferraro in 2010.
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Full-Network Embedding in a Multimodal Embedding Pipeline
CoRR, 2017 This work is partially supported by the Joint Study Agreement no. W156463 under the IBM/BSC Deep Learning Center agreement, by the Spanish Government through Programa Severo Ochoa (SEV-2015- 0493), by the Spanish Ministry of Science and Technology through TIN2015-65316-P project, by the Generalitat de Catalunya (contracts 2014-SGR-1051), and by the ...
Vilalta Arias, Armand +7 more
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SensorsThe use of recurrent neural networks has proven effective in time series prediction tasks such as weather. However, their use in resource-limited systems such as MCUs presents difficulties in terms of both size and stability with longer prediction ...
Jhan Piero Paulo Merma Yucra +5 more
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Sequence Embeddings Help Detect Insurance Fraud
IEEE Access, 2022 Roughly 10 percent of the insurance industry’s incurred losses are estimated to stem from fraudulent claims. One solution is to use tabular data to construct models that can distinguish between claims that are legitimate and those that are ...
Ivan Fursov +6 more
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FEBS Letters, EarlyView.We present robust protocols for the preparation of supported lipid bilayers (SLBs) incorporating either Salmonella smooth LPS or outer membrane vesicles (OMVs). We use a combination of quartz crystal microbalance with dissipation (QCM‐D) and fluorescence microscopy to both characterize the SLBs of various compositions and to probe their interactions ...
Hudson P. Pace +6 more
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06481 Abstracts Collection – Geometric Networks and Metric Space Embeddings [PDF]
, 2007 The Dagstuhl Seminar 06481 ``Geometric Networks and Metric Space Embeddings'' was held from November~26 to December~1, 2006 in the International Conference and Research Center (IBFI), Schloss Dagstuhl.
Gudmundsson, Joachim +4 more
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Application of embeddings for multi-class classification with optional extendability
Adaptivni Sistemi Avtomatičnogo UpravlinnâThis study investigates the feasibility of an expandable image classification method utilizing a convolutional neural network to generate embeddings for use with simpler machine learning algorithms.
Ф. Смілянець
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