1. Waveform classification and information extraction from LIDAR data by neural networks;Bhattacharya;IEEE Trans. Geosci. Remote Sensing,1997
2. Non-parametric data selection for neural learning in non-stationary time series;Deco;Neural Networks,1997
3. Fernandes, A., Utkin, A.B., Vilar, R., Lavrov, A., 2002. Recognition of smoke signatures in lidar signal with a perceptron. In: SCI2002––Sixth World Multiconf. on Systemics, Cybernetics and Informatics, Orlando, USA, vol. 9, pp. 504–509
4. Fernandes, A., Utkin, A., Lavrov, A., Vilar, R., 2003. Classification of lidar signals by committee machines applied to automatic forest fire detection. In: JCIS2003––Seventh Joint Conf. on Information Sciences, Cary, NC, USA, pp. 1585–1588
5. Freking, A., Biehl, M., Braun, C., Kinzel, W., Meesmann, M., 1998. Receiver operating characteristics of perceptrons: Influence of sample size and prevalence. Technical Report WUE-ITP-98-049, Institut fur Theoretische Physik, Universitat Wurzburg, Germany