Matches in Nanopublications for { ?s <https://w3id.org/np/o/ntemplate/hasLabelFromApi> ?o ?g. }
- Q57814310 hasLabelFromApi "nanopublication - A small knowledge graph snippet with metadata that is to be treated as an independent (scientific) publication." pubinfo.
- Q57814310 hasLabelFromApi "nanopublication - A small knowledge graph snippet with metadata that is to be treated as an independent (scientific) publication." pubinfo.
- Q57814310 hasLabelFromApi "nanopublication - A small knowledge graph snippet with metadata that is to be treated as an independent (scientific) publication." pubinfo.
- Q57814310 hasLabelFromApi "nanopublication - A small knowledge graph snippet with metadata that is to be treated as an independent (scientific) publication." pubinfo.
- Q57814310 hasLabelFromApi "nanopublication - A small knowledge graph snippet with metadata that is to be treated as an independent (scientific) publication." pubinfo.
- Q57814310 hasLabelFromApi "nanopublication - A small knowledge graph snippet with metadata that is to be treated as an independent (scientific) publication." pubinfo.
- Q194290 hasLabelFromApi "dehydration" assertion.
- Q194290 hasLabelFromApi "dehydration" pubinfo.
- Q194290 hasLabelFromApi "dehydration" pubinfo.
- Q194290 hasLabelFromApi "dehydration" pubinfo.
- Q194290 hasLabelFromApi "dehydration" pubinfo.
- Q194290 hasLabelFromApi "dehydration - deficit of total body water" pubinfo.
- Q86 hasLabelFromApi "headache" assertion.
- Q86 hasLabelFromApi "headache" pubinfo.
- Q86 hasLabelFromApi "headache" pubinfo.
- Q86 hasLabelFromApi "headache" pubinfo.
- Q86 hasLabelFromApi "headache" pubinfo.
- Q86 hasLabelFromApi "headache - pain in the head or neck" pubinfo.
- RDF hasLabelFromApi "RDF | Resource Description Framework - by (unknown)" pubinfo.
- RDF hasLabelFromApi "RDF | Resource Description Framework - by (unknown)" pubinfo.
- RDF hasLabelFromApi "RDF | Resource Description Framework - by (unknown)" pubinfo.
- Q12156 hasLabelFromApi "malaria - mosquito-borne infectious disease" pubinfo.
- Q525512 hasLabelFromApi "pathogen transmission - passing of a pathogen causing communicable disease from an infected host individual or group to other individual or group, regardless of whether the other individual was previously infected" pubinfo.
- Q7367 hasLabelFromApi "Culicidae - family of nematoceran flies" pubinfo.
- Q2199 hasLabelFromApi "dwarf planet - planetary-mass object in hydrostatic equilibrium but which has not cleared its neighborhood" pubinfo.
- NanoSession hasLabelFromApi "Nano Session - by Tobias Kuhn" pubinfo.
- Q1492760 hasLabelFromApi "teenager - young person (between 13 and 19 years old)" pubinfo.
- Q9158 hasLabelFromApi "email - method of electronically exchanging digital messages between people over a network" pubinfo.
- Q9584157 hasLabelFromApi "adult human - adult member of the human species" pubinfo.
- Q484847 hasLabelFromApi "e-commerce - type of business industry usually conducted over the Internet" pubinfo.
- Q485396 hasLabelFromApi "analytics - discovery, interpretation, and communication of meaningful patterns in data" pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- STATO_0000415 hasLabelFromApi "accuracy - in the context of binary classification, accuracy is defined as the proportion of true results (both true positives and true negatives) to the total number of cases examined (the sum of true positive, true negative, false positive and false negative). It can be understood as a measure of the proximity of measurement results to the true value." pubinfo.
- Q102190569 hasLabelFromApi "text classification - classification of texts" pubinfo.
- Q102190569 hasLabelFromApi "text classification - classification of texts" pubinfo.
- Q102190569 hasLabelFromApi "text classification - classification of texts" pubinfo.
- Q102190569 hasLabelFromApi "text classification - classification of texts" pubinfo.
- Q245748 hasLabelFromApi "random forest - statistical algorithm that is used to cluster points of data in functional groups" pubinfo.
- Q245748 hasLabelFromApi "random forest - statistical algorithm that is used to cluster points of data in functional groups" pubinfo.
- Q245748 hasLabelFromApi "random forest - statistical algorithm that is used to cluster points of data in functional groups" pubinfo.
- Q110688486 hasLabelFromApi "machine learning algorithm - type of algorithm" pubinfo.
- Q110688486 hasLabelFromApi "machine learning algorithm - type of algorithm" pubinfo.
- locally-deep-svm hasLabelFromApi "Locally Deep Support Vector Machine - by Tobias Kuhn" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.19_FCM hasLabelFromApi "FIP.19_FCM | PARC_FAIR Convergence - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by Barbara Magagna" pubinfo.
- FIP.15.T8 hasLabelFromApi "FIP.15.T8 | PARC FIP1 T8 - by (unknown)" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.
- FIP.15.T9 hasLabelFromApi "FIP.15.T9 | PARC FIP1 T9 - by Barbara Magagna" pubinfo.