Siamese neural networks: An overview
D Chicco - Artificial neural networks, 2021 - Springer
Similarity has always been a key aspect in computer science and statistics. Any time two
element vectors are compared, many different similarity approaches can be used …
element vectors are compared, many different similarity approaches can be used …
Ontology learning from text: A look back and into the future
Ontologies are often viewed as the answer to the need for interoperable semantics in
modern information systems. The explosion of textual information on the Read/Write Web …
modern information systems. The explosion of textual information on the Read/Write Web …
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Language models demonstrate both quantitative improvement and new qualitative
capabilities with increasing scale. Despite their potentially transformative impact, these new …
capabilities with increasing scale. Despite their potentially transformative impact, these new …
PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework
AJM Dingemans, M Hinne, KMG Truijen, L Goltstein… - Nature Genetics, 2023 - nature.com
Several molecular and phenotypic algorithms exist that establish genotype–phenotype
correlations, including facial recognition tools. However, no unified framework that …
correlations, including facial recognition tools. However, no unified framework that …
[HTML][HTML] rrvgo: a Bioconductor package for interpreting lists of Gene Ontology terms
S Sayols - microPublication Biology, 2023 - ncbi.nlm.nih.gov
Gene Ontology (GO) annotation is often used to guide the biological interpretation of high-
throughput omics experiments, eg by analysing lists of differentially regulated genes for …
throughput omics experiments, eg by analysing lists of differentially regulated genes for …
Are drug targets with genetic support twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug …
Despite strong vetting for disease activity, only 10% of candidate new molecular entities in
early stage clinical trials are eventually approved. Analyzing historical pipeline data, Nelson …
early stage clinical trials are eventually approved. Analyzing historical pipeline data, Nelson …
Learning continuous hierarchies in the lorentz model of hyperbolic geometry
We are concerned with the discovery of hierarchical relationships from large-scale
unstructured similarity scores. For this purpose, we study different models of hyperbolic …
unstructured similarity scores. For this purpose, we study different models of hyperbolic …
ChatGPT for computational social systems: From conversational applications to human-oriented operating systems
Welcome to the second issue of the IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL
SYSTEMS (TCSS) of 2023. According to the latest update of CiteScoreTracker from Elsevier …
SYSTEMS (TCSS) of 2023. According to the latest update of CiteScoreTracker from Elsevier …
The support of human genetic evidence for approved drug indications
Over a quarter of drugs that enter clinical development fail because they are ineffective.
Growing insight into genes that influence human disease may affect how drug targets and …
Growing insight into genes that influence human disease may affect how drug targets and …