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[HTML][HTML] Mild cognitive impairment detection using machine learning models trained on data collected from serious games
Mild cognitive impairment (MCI) is an indicative precursor of Alzheimer's disease and its
early detection is critical to restrain further cognitive deterioration through preventive …
early detection is critical to restrain further cognitive deterioration through preventive …
Local and global feature selection for multilabel classification with binary relevance: An empirical comparison on flat and hierarchical problems
Multilabel classification has become increasingly important for various use cases. Amongst
the existing multilabel classification methods, problem transformation approaches, such as …
the existing multilabel classification methods, problem transformation approaches, such as …
INCEPT: a framework for duplicate posts classification with combined text representations
Dealing with many of the problems related to the quality of textual content online involves
identifying similar content. Algorithmic solutions for duplicate content classification typically …
identifying similar content. Algorithmic solutions for duplicate content classification typically …
[PDF][PDF] Biomedical semantic indexing using dense word vectors in bioasq
Background: Biomedical curators are often required to semantically index large numbers of
biomedical articles, using hierarchically related labels (eg, MeSH headings). Large scale …
biomedical articles, using hierarchically related labels (eg, MeSH headings). Large scale …
What Happened in CLEF For a While?
Abstract 2019 marks the 20^ th birthday for CLEF, an evaluation campaign activity which has
applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal …
applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal …
What Happened in CLEF For Another While?
Abstract 2024 marks the 25 th birthday for CLEF, an evaluation campaign activity which has
applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal …
applied the Cranfield evaluation paradigm to the testing of multilingual and multimodal …
CLEF 15th birthday: Past, present, and future
2014 marks the 15th birthday for CLEF, an evaluation campaign activity which has applied
the Cranfield evaluation paradigm to the testing of multilingual and multimodal information …
the Cranfield evaluation paradigm to the testing of multilingual and multimodal information …
Impact of reduction in descriptor size on object detection and classification
Extraction of distinctive and robust features in image/video analysis and processing has
attracted the attention of researchers in the recent years. Elimination of irrelevant and less …
attracted the attention of researchers in the recent years. Elimination of irrelevant and less …
Automatic Refinement of Large-Scale Cross-Domain Knowledge Graphs
A de Oliveira Melo - 2018 - search.proquest.com
Abstract Knowledge graphs are a way to represent complex structured and unstructured
information integrated into an ontology, with which one can reason about the existing …
information integrated into an ontology, with which one can reason about the existing …
Automatic refinement of large-scale cross-domain knowledge graphs
A Melo - 2018 - madoc.bib.uni-mannheim.de
Knowledge graphs are a way to represent complex structured and unstructured information
integrated into an ontology, with which one can reason about the existing information to …
integrated into an ontology, with which one can reason about the existing information to …