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- P. F. Verdes
- Physical review. E, Statistical, nonlinear, andâ€¦
- 2005

In this work we propose a general nonparametric test of causality for weakly dependent time series. More precisely, we study the problem of attribution, i.e., the proper comparison of the relativeâ€¦ (More)

- WEED SEEDS, P. M. Granitto, Hugo D. Navone, P. F. Verdes, H. Alejandro Ceccatto
- 2000

The analysis and classification of seeds are essential activities contributing to the final added value in the crop production. Besides varietal identification and cereal grain grading, it is also ofâ€¦ (More)

- P. F. Verdes, P. M. Granitto, H. Alejandro Ceccatto
- Physical review letters
- 2006

We propose a general overembedding method for modeling and prediction of nonstationary systems. It basically enlarges the standard time-delay-embedding space by inclusion of the (unknown) slowâ€¦ (More)

- P. F. Verdes, P. M. Granitto, Hugo D. Navone, H. Alejandro Ceccatto
- Physical review letters
- 2001

We propose a simple method for the accurate reconstruction of slowly changing external forces acting on nonlinear dynamical systems. The method traces the evolution of the external force by locallyâ€¦ (More)

- Manjubala Bisi, Neeraj Kumar Goyal, +8 authors H. A. Caccatto
- 2012

A neural network based software reliability model to predict the cumulative number of failures based on Feed Forward architecture is proposed in this paper. Depending upon the available softwareâ€¦ (More)

- Lucas C. Uzal, Gustavo Grinblat, P. F. Verdes
- Physical review. E, Statistical, nonlinear, andâ€¦
- 2011

In this work we propose an objective function to guide the search for a state space reconstruction of a dynamical system from a time series of measurements. These statistics can be evaluated on anyâ€¦ (More)

- P. F. Verdes, P. M. Granitto, M. I. SzÃ©liga, A. RÃ©bola, H. Alejandro Ceccatto
- 2004 IEEE International Joint Conference onâ€¦
- 2004

We present a possible strategy for filling the missing data of the CATS benchmark time series prediction competition. Our approach builds upon an appropriate embedding of this time series and the useâ€¦ (More)

- P. M. Granitto, P. F. Verdes, Hugo D. Navone, H. Alejandro Ceccatto, D. Curia, C. Larriestra
- 2001

We present an exploratory use of neural network ensembles in the modeling of oil well logs. These records are frequently used to determine the mineralogy and physical properties of potentialâ€¦ (More)

Frost is the condition that exists when the temperature of the earth's surface and earthbound objects falls below freezing (0Â°C). These events may have serious consequences on crop production, soâ€¦ (More)

We discuss the capabilities of global (neural network) and local (instance-based) methods for the dynamics reconstruction and forecasting of chaotic time-series. In particular, we investigate theâ€¦ (More)

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