Litcius/Paper detail

Toward potential hybrid features evaluation using MLP-ANN binary classification model to tackle meaningful citations

Faiza Qayyum, Harun Jamil, Naeem Iqbal, Do‐Hyeun Kim, Muhammad Tanvir Afzal

2022Scientometrics19 citationsDOI

Topics & Concepts

Computer scienceSupport vector machineCitationArtificial intelligenceMachine learningPerceptronBinary classificationBenchmark (surveying)Artificial neural networkExploitClassifier (UML)Multilayer perceptronData miningBinary numberRandom forestSet (abstract data type)Data scienceMathematicsGeographyComputer securityGeodesyProgramming languageWorld Wide WebArithmeticTopic ModelingAdvanced Text Analysis TechniquesBiomedical Text Mining and Ontologies
Toward potential hybrid features evaluation using MLP-ANN binary classification model to tackle meaningful citations | Litcius