Litcius/Paper detail

Artificial intelligence – based approaches based on random forest algorithm for signal analysis: Potential applications in detection of chemico - biological interactions

Igor Pantić, Jovana Paunović, Svetlana Valjarević, Peter R. Corridon, Nikola Topalović

2025Chemico-Biological Interactions31 citationsDOI

Topics & Concepts

Random forestOverfittingMachine learningArtificial intelligenceComputer scienceDecision treeFeature selectionArtificial neural networkSpectroscopy and Chemometric AnalysesMetabolomics and Mass Spectrometry StudiesAdvanced Chemical Sensor Technologies
Artificial intelligence – based approaches based on random forest algorithm for signal analysis: Potential applications in detection of chemico - biological interactions | Litcius