Improving the performance of drifted/shifted electronic nose systems by cross-domain transfer using common transfer samples

Online Drift Compensation by Adaptive Active Learning on Mixed Kernel for Electronic Noses

(2020) Tao Liu et al.   SENSORS AND ACTUATORS B-CHEMICAL

Active Learning on Dynamic Clustering for Drift Compensation in an Electronic Nose System

(2019) Tao Liu et al.   SENSORS

Bulk detection of explosives and development of customized metal oxide semiconductor gas sensors for the identification of energetic materials

(2018) K. Konstantynovski et al.   SENSORS AND ACTUATORS B-CHEMICAL

Gas-Sensor Drift Counteraction with Adaptive Active Learning for an Electronic Nose

(2018) Tao Liu et al.   SENSORS

Anti-drift in E-nose: A subspace projection approach with drift reduction

(2017) Lei Zhang et al.   SENSORS AND ACTUATORS B-CHEMICAL

Common Subspace Learning via Cross-Domain Extreme Learning Machine

(2017) Yan Liu et al.   Cognitive Computation

Calibration transfer and drift counteraction in chemical sensor arrays using Direct Standardization

(2016) J. Fonollosa et al.   SENSORS AND ACTUATORS B-CHEMICAL

Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems

(2015) Lei Zhang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Performance Study of Multilayer Perceptrons in a Low-Cost Electronic Nose

(2014) Lei Zhang et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Electronic Noses for Environmental Monitoring Applications

(2014) Laura Capelli et al.   SENSORS

Cooperative classifiers for reconfigurable sensor arrays

(2014) Eugenio Martinelli et al.   SENSORS AND ACTUATORS B-CHEMICAL

On the calibration of sensor arrays for pattern recognition using the minimal number of experiments

(2013) Irene Rodriguez-Lujan et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Drift Compensation for Electronic Nose by Semi-Supervised Domain Adaption

(2013) Qihe Liu et al.   IEEE SENSORS JOURNAL

Adaptation Regularization: A General Framework for Transfer Learning

(2013) Mingsheng Long et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Metal Oxide Gas Sensor Drift Compensation Using a Dynamic Classifier Ensemble Based on Fitting

(2013) Hang Liu et al.   SENSORS

Chaotic time series prediction of E-nose sensor drift in embedded phase space

(2013) Lei Zhang et al.   SENSORS AND ACTUATORS B-CHEMICAL

Chemical gas sensor drift compensation using classifier ensembles

(2012) Alexander Vergara et al.   SENSORS AND ACTUATORS B-CHEMICAL

An adaptive classification model based on the Artificial Immune System for chemical sensor drift mitigation

(2012) Eugenio Martinelli et al.   SENSORS AND ACTUATORS B-CHEMICAL

Increasing pattern recognition accuracy for chemical sensing by evolutionary based drift compensation

(2011) S. Di Carlo et al.   PATTERN RECOGNITION LETTERS

Drift compensation of gas sensor array data by Orthogonal Signal Correction

(2009) M. Padilla et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Drift compensation of gas sensor array data by common principal component analysis

(2009) A. Ziyatdinov et al.   SENSORS AND ACTUATORS B-CHEMICAL

Olfactory systems for medical applications

(2007) A DAMICO et al.   SENSORS AND ACTUATORS B-CHEMICAL