@article{gutierrez-osuna_nagle_1999, title={A method for evaluating data-preprocessing techniques for odour classification with an array of gas sensors}, volume={29}, ISSN={1083-4419}, url={http://dx.doi.org/10.1109/3477.790446}, DOI={10.1109/3477.790446}, abstractNote={The performance of a pattern recognition system is dependent on, among other things, an appropriate data-preprocessing technique, In this paper, we describe a method to evaluate the performance of a variety of these techniques for the problem of odour classification using an array of gas sensors, also referred to as an electronic nose. Four experimental odour databases with different complexities are used to score the data-preprocessing techniques. The performance measure used is the cross-validation estimate of the classification rate of a K nearest neighbor voting rule operating on Fisher's linear discriminant projection subspace.}, number={5}, journal={IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics)}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Gutierrez-Osuna, R. and Nagle, H.T.}, year={1999}, pages={626–632} }
 @article{gutierrez-osuna_nagle_schiffman_1999, title={Transient response analysis of an electronic nose using multi-exponential models}, volume={61}, ISSN={0925-4005}, url={http://dx.doi.org/10.1016/s0925-4005(99)00290-7}, DOI={10.1016/S0925-4005(99)00290-7}, abstractNote={The purpose of this study is to model the transient response of conductivity-based gas sensors in the context of odor recognition with an electronic nose. Commonly, only the steady-state response of the sensor is used for pattern recognition, ignoring the transient response, which conveys useful discriminatory information. The transient response is modeled as a sum of real exponential functions that represent the different decay processes that occur during sampling of the gas into the sensor chamber and adsorption of the odor compounds onto the sensing element. Four multi-exponential models are reviewed: Gardner transform, multi-exponential transient spectroscopy, Pade-Laplace and Pade-Z transforms. Validation on experimental data from an array of conducting-polymer gas sensors shows that the Pade-Laplace and Pade-Z models have better resolution capabilities than the two spectral transforms.}, number={1-3}, journal={Sensors and Actuators B: Chemical}, publisher={Elsevier BV}, author={Gutierrez-Osuna, Ricardo and Nagle, H.Troy and Schiffman, Susan S.}, year={1999}, month={Dec}, pages={170–182} }
 @article{gutierrez-osuna_janet_luo_1998, title={Modeling of ultrasonic range sensors for localization of autonomous mobile robots}, volume={45}, ISSN={["1557-9948"]}, DOI={10.1109/41.704895}, abstractNote={This paper presents a probabilistic model of ultrasonic range sensors using backpropagation neural networks trained on experimental data. The sensor model provides the probability of detecting mapped obstacles in the environment, given their position and orientation relative to the transducer. The detection probability can be used to compute the location of an autonomous vehicle from those obstacles that are more likely to be detected. The neural network model is more accurate than other existing approaches, since it captures the typical multilobal detection pattern of ultrasonic transducers. Since the network size is kept small, implementation of the model on a mobile robot can be efficient for real-time navigation. An example that demonstrates how the credence could be incorporated into the extended Kalman filter (EKF) and the numerical values of the final neural network weights are provided in the appendices.}, number={4}, journal={IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS}, author={Gutierrez-Osuna, R and Janet, JA and Luo, RC}, year={1998}, month={Aug}, pages={654–662} }
 @article{nagle_gutierrez-osuna_schiffman_1998, title={The how and why of electronic noses}, volume={35}, ISSN={0018-9235}, url={http://dx.doi.org/10.1109/6.715180}, DOI={10.1109/6.715180}, abstractNote={Witnessing the swift advances in the electronic means of seeing and hearing, scientists and engineers scent a market for systems mimicking the human nose. Already commercial systems from several companies are targeting applications, present and potential, that range from quality assurance of food and drugs to medical diagnosis, environmental monitoring, safety and security and military use. Here, the authors outline the major transducer technologies-in one sense, the key component of an electronic nose.}, number={9}, journal={IEEE Spectrum}, publisher={Institute of Electrical and Electronics Engineers (IEEE)}, author={Nagle, H.T. and Gutierrez-Osuna, R. and Schiffman, S.S.}, year={1998}, month={Sep}, pages={22–31} }
 @article{janet_gutierrez_chase_white_sutton_1997, title={Autonomous mobile robot global self-localization using Kohonen and region-feature neural networks}, volume={14}, ISSN={["0741-2223"]}, DOI={10.1002/(SICI)1097-4563(199704)14:4<263::AID-ROB4>3.0.CO;2-O}, abstractNote={This article presents and compares two neural network-based approaches to global self-localization (GSL) for autonomous mobile robots using: (1) a Kohonen neural network, and (2) a region-feature neural network (RFNN). Both approaches categorize discrete regions of space (topographical nodes) in a manner similar to optical character recognition (OCR). That is, the mapped sonar data assumes the form of a character unique to that region. Hence, it is believed that an autonomous vehicle can determine which room it is in from sensory data gathered from exploration. With a robust exploration routine, the GSL solution can be time-, translation-, and rotation-invariant. The GSL solution can also become independent of the mobile robot used to collect the sensor data. This suggests that a single robot can transfer its knowledge of various learned regions to other mobile robots. The classification rate of both approaches are comparable and, thus, worthy of presentation. The observed pros and cons of both approaches are also discussed. © 1997 John Wiley & Sons, Inc.}, number={4}, journal={JOURNAL OF ROBOTIC SYSTEMS}, author={Janet, JA and Gutierrez, R and Chase, TA and White, MW and Sutton, JC}, year={1997}, month={Apr}, pages={263–282} }