1. Multivariate decision tree designing for the classification of multi-jet topologies in e+e− collisions;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2002-04
2. Identification of the quark jet charge in e+e−→W+W− using neural networks and discriminant analysis methods;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;2000-07
3. Using neural networks with new morphological variables to recognize the number of jets in e+ e− reactions;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;1999-08
4. Selection of variables for neural network analysis Comparisons of several methods with high energy physics data;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;1995-07
5. Multi-modular neural networks for the classification of e+e− hadronic events;Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment;1994-01