Mutual information and sensitivity analysis for feature selection in customer targeting: A comparative study N Barraza, S Moro, M Ferreyra, A de la Peña Journal of Information Science 45 (1), 53-67, 2019 | 52 | 2019 |
A non-homogeneous Markov early epidemic growth dynamics model. Application to the SARS-CoV-2 pandemic NR Barraza, G Pena, V Moreno Chaos, Solitons & Fractals 139, 110297, 2020 | 16 | 2020 |
A parametric empirical bayes model to predict software reliability growth NR Barraza Procedia Computer Science 62, 360-369, 2015 | 15 | 2015 |
Parameter estimation for the compound poisson software reliability model NR Barraza International Journal of Software Engineering and its Applications 7 (1 …, 2013 | 15 | 2013 |
Software reliability modeled on contagion NR Barraza 2016 IEEE international symposium on software reliability engineering …, 2016 | 11 | 2016 |
Mining bugzilla datasets with new increasing failure rate software reliability models NR Barraza 2017 XLIII Latin American Computer Conference (CLEI), 1-6, 2017 | 8 | 2017 |
Increasing failure rate software reliability models for agile projects: A comparative study G Pena, NR Barraza, A Anand System Performance Modeling, 2020 | 7 | 2020 |
A new homogeneous pure birth process based software reliability model NR Barraza Proceedings of the 38th International Conference on Software Engineering …, 2016 | 7 | 2016 |
Maximum likelihood decoding on a communication channel CF Caiafa, NR Barraza, AN Proto RPIC Reuniones en Procesamiento de la Información y Control, 728-732, 2007 | 7 | 2007 |
An application of the chains-of-rare-events model to software development failure prediction NR Barraza, JD Pfefferman, B Cernuschi-Frías, F Cernuschi International Conference on Reliable Software Technologies, 185-195, 2000 | 7 | 2000 |
A probabilistic model for grouped events analysis NR Barraza, B Cernuschi-Frías, F Cernuschi 1995 IEEE International Conference on Systems, Man and Cybernetics …, 1995 | 7 | 1995 |
Big Data, enfoques multidisciplinarios para la gestión del conocimiento AA Moreno, NR Barraza, OM Daicich VI Simposio Argentino sobre Tecnología y Sociedad (STS 2019)-JAIIO 48 (Salta), 2019 | 6 | 2019 |
Identifying the most relevant attributes to explain peaks of COVID-19 infections and deaths by machine learning methods G Pena, J Gambini, NR Barraza International Journal of Computer Theory and Engineering 15 (1), 1-9, 2023 | 5 | 2023 |
Applications and extensions of the chains-of-rare-events model R Barraza, B Cernuschi-Frias, F Cernuschi IEEE transactions on reliability 45 (3), 417-421, 1996 | 5 | 1996 |
Tiempo medio entre fallas: investigación de confiabilidad de proyectos ágiles y estudio comparativo de modelos GR Pena, NR Barraza XXI Simposio Argentino de Ingeniería de Software (ASSE 2020)-JAIIO 49 …, 2020 | 4 | 2020 |
Software reliability modeling for dynamic development environments NR Barraza Recent Advancements in Software Reliability Assurance, 29-37, 2019 | 4 | 2019 |
Software reliability analysis of multistage projects NR Barraza 2019 Amity International Conference on Artificial Intelligence (AICAI), 67-73, 2019 | 4 | 2019 |
Stochastic modeling of the mean time between software failures: A review G Pena, V Moreno, N Barraza System Assurances, 355-370, 2022 | 3 | 2022 |
A mixed poisson process and empirical bayes estimation based software reliability growth model and simulation NR Barraza 2017 IEEE International Conference on Software Quality, Reliability and …, 2017 | 3 | 2017 |
A new Algorithm to construct LDPC codes with large stopping sets JCS Ripoll, NR Barraza Simulation 505, 1, 2013 | 3 | 2013 |