Results 41 to 50 of about 5,831 (221)
Entity resolution approaches for data quality
Entity resolution is a key aspect of data quality, identifying which records correspond to the same real world entity in data sources. Entity resolution is a hot topic in both research communities and industries.
Derong, Shen, Chenchen, Sun
core
When building a Chinese named entity recognition system, one must deal with certain language-specific issues such as whether the model should be based on characters or words.
Radu Florian +9 more
core +1 more source
Enhancing Maturation of Human Neuromuscular Organoids via Electrical Stimulation
A framework for on‐demand and non‐invasive exposure of human neuromuscular organoids (NMOs) to electrical stimuli is established to promote their maturation. The robustness and effectiveness of different stimulation regimes are evaluated via thorough characterization of organoid tissue structure and contraction capacity. Chronic electrical stimulation,
Chrysanthi‐Maria Moysidou +12 more
wiley +1 more source
Multi‐omic profiling of T1 high‐grade bladder cancer identifies a high‐risk subtype (T1HG1) driven by NQO1, which couples anoikis resistance with immune evasion. NQO1 orchestrates macrophage–T cell crosstalk suppression via CXCL9 modulation. Pharmacological NQO1 inhibition with skullcapflavone II enhances cisplatin efficacy, representing a promising ...
Bin Guo +20 more
wiley +1 more source
Optimising Selective Sampling for Bootstrapping Named Entity Recognition
Training a statistical named entity recognition system in a new domain requires costly manual annotation of large quantities of in-domain data. Active learning promises to reduce the annotation cost by selecting only highly informative data points.
Hachey, Benjamin Clayton +5 more
core
Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale +6 more
wiley +1 more source
Named Entity Recognition through Redundancy Driven Classifiers
We present Typhoon, a classifier combination system for Named Entity Recognition (NER), in which two different classifiers are combined to exploit Data Redundancy and Patterns extracted from a large text corpus.
Giuliano, Claudio +2 more
core
AMPSO: A new Particle Swarm Method for Nearest Neighborhood Classification [PDF]
Nearest prototype methods can be quite successful on many pattern classification problems. In these methods, a collection of prototypes has to be found that accurately represents the input patterns.
Galván, Inés M. +2 more
core +1 more source
A catalytic allosteric DNAzyme assay (SMART) is developed by engineering DNAzyme into a unimolecular biosensor, enabling highly sensitive and multiplex detection of small molecules and nucleic acids. SMART enables extraction‐free, one‐pot, one‐step, isothermal, and cost‐effective detection of biological markers, achieving >95% accuracy for rapid ...
Yanzhe Shen +12 more
wiley +1 more source
Ontology-based document representation for biomedical information retrieval [PDF]
In the current era of fast sequencing of entire genomes, more data is becoming available for analysis. This data analysis, in turn, leads to an increasing amount of scientfic publications.
Camous, Fabrice
core

