Matches in Nanopublications for { ?s <https://w3id.org/np/o/ntemplate/hasLabelFromApi> ?o ?g. }
- Q86 hasLabelFromApi "headache" pubinfo.
- Q86 hasLabelFromApi "headache" pubinfo.
- Q86 hasLabelFromApi "headache - pain in the head or neck" pubinfo.
- worldfair_project_communities hasLabelFromApi "WorldFAIR Project Communities - by (unknown)" pubinfo.
- worldfair_project_communities hasLabelFromApi "WorldFAIR Project Communities - by (unknown)" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- FIP.15.T7 hasLabelFromApi "FIP.15.T7 | PARC FIP Training - nanopublications - by Barbara Magagna" pubinfo.
- NCIT_C287 hasLabelFromApi "Aspirin - An orally administered non-steroidal antiinflammatory agent. Acetylsalicylic acid binds to and acetylates serine residues in cyclooxygenases, resulting in decreased synthesis of prostaglandin, platelet aggregation, and inflammation. This agent exhibits analgesic, antipyretic, and anticoagulant properties." pubinfo.
- NCIT_C287 hasLabelFromApi "Aspirin - An orally administered non-steroidal antiinflammatory agent. Acetylsalicylic acid binds to and acetylates serine residues in cyclooxygenases, resulting in decreased synthesis of prostaglandin, platelet aggregation, and inflammation. This agent exhibits analgesic, antipyretic, and anticoagulant properties." pubinfo.
- NCIT_C34661 hasLabelFromApi "Headache - Pain in various parts of the head, not confined to the area of distribution of any nerve." pubinfo.
- NCIT_C34661 hasLabelFromApi "Headache - Pain in various parts of the head, not confined to the area of distribution of any nerve." 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.
- locally-deep-svm hasLabelFromApi "Locally Deep Support Vector Machine - by Tobias Kuhn" pubinfo.
- Q110688486 hasLabelFromApi "machine learning algorithm - type of algorithm" pubinfo.
- Q110688486 hasLabelFromApi "machine learning algorithm - type of algorithm" 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.
- 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 (unknown)" pubinfo.
- Q215627 hasLabelFromApi "person - being that has certain capacities or attributes constituting personhood (avoid use with P31; use Q5 for humans)" pubinfo.
- Q215627 hasLabelFromApi "person - being that has certain capacities or attributes constituting personhood (avoid use with P31; use Q5 for humans)" pubinfo.
- Q215627 hasLabelFromApi "person - being that has certain capacities or attributes constituting personhood (avoid use with P31; use Q5 for humans)" pubinfo.