[PDF][PDF] ECBFMBP: Design of an Ensemble deep learning Classifier with Bio-inspired Feature Selection for high-efficiency Multidomain Bug Prediction.
Prediction of software bugs from process logs, temporal access logs, behavior analysis, etc.
requires estimation of a wide variety of high-density feature sets. Extracted feature sets must …
requires estimation of a wide variety of high-density feature sets. Extracted feature sets must …
ECBFMBP: Design of an Ensemble deep learning Classifier with Bio-inspired Feature Selection for high-efficiency Multidomain Bug Prediction
D Tambe, L Ragha - Journal of Cognitive Science, 2023 - dbpia.co.kr
Prediction of software bugs from process logs, temporal access logs, behavior analysis, etc.
requires estimation of a wide variety of high-density feature sets. Extracted feature sets must …
requires estimation of a wide variety of high-density feature sets. Extracted feature sets must …
ECBFMBP: Design of an Ensemble deep learning Classifier with Bio-inspired Feature Selection for high-efficiency Multidomain Bug Prediction.
D Tambe, L Ragha - Journal of Cognitive Science, 2023 - search.ebscohost.com
Prediction of software bugs from process logs, temporal access logs, behavior analysis, etc.
requires estimation of a wide variety of high-density feature sets. Extracted feature sets must …
requires estimation of a wide variety of high-density feature sets. Extracted feature sets must …
[PDF][PDF] ECBFMBP: Design of an Ensemble deep learning Classifier with Bio-inspired Feature Selection for high-efficiency Multidomain Bug Prediction
D Tambe, L Ragha - Journal of Cognitive Science, 2023 - academia.edu
Prediction of software bugs from process logs, temporal access logs, behavior analysis, etc.
requires estimation of a wide variety of high-density feature sets. Extracted feature sets must …
requires estimation of a wide variety of high-density feature sets. Extracted feature sets must …