Interpretable Classifier Models for Decision Support Using High Utility Gain Patterns
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3455563
Abstract: Ensemble models such as gradient boosting and random forests are proven to offer the best predictive performance on a wide variety of supervised learning problems. The high performance of these black box models, however, comes… read more here.
Keywords: classifier models; interpretability; high utility; performance ... See more keywords
On-Chip Implementation of Neural Network-Based Classifier Models for E-Nose With Chemometric Analysis
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2025.3554292
Abstract: The present work focuses on the comprehensive implementation of gas/mixture identification employing chemometric analysis followed by on-chip realization. The chemometric analysis has been accompanied by the neural network (NN)-based models and on-chip deployment has been… read more here.
Keywords: classifier models; based classifier; chip; chemometric analysis ... See more keywords