Instituto de Física Rosario
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Journal Articles by H. Ceccatto

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P. Verdes, P. Granitto, M. Széliga, A. Rébola, and H. Ceccatto
Symmetric-embedding prediction of the CATS benchmark
Neurocomputing (cited By 0), 70(1315), 2363-2370, 2007
approximation theory computer simulation data processing error analysis time series analysis benchmark time series competition on artificial time series (cats) symmetric-embedding prediction time series prediction multilayer neural networks analytical error article data analysis digital filtering information processing intermethod comparison linear system nonlinear system perceptron prediction forecasting priority journal time series analysis validation process
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M. Parodi, H. Ceccatto, and R. Piacentini
Neural network analysis of the effect of Mount Pinatubo eruption on the Southern Hemisphere high latitude ozone
WSEAS Transactions on Information Science and Applications (cited By 0), 3(3), 588-594, 2006
atmospheric aerosols mathematical models ozone perturbation techniques seismology volcanoes high latitude ozone pinatubo volcano radiative-dynamical-chemical model neural networks
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P. Verdes, P. Granitto, and H. Ceccatto
Overembedding method for modeling nonstationary systems
Physical Review Letters (cited By 13), 96(11), 2006
driving signal intrinsic stationary dynamics nonstationary systems overembedding methods computer simulation neural networks time series analysis embedded systems algorithm artificial neural network computer simulation nonlinear system theoretical model algorithms computer simulation models theoretical neural networks (computer) nonlinear dynamics
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P. Granitto, P. Verdes, and H. Ceccatto
Neural network ensembles: Evaluation of aggregation algorithms
Artificial Intelligence (cited By 114), 163(2), 139-162, 2005
benchmarking classification (of information) database systems error analysis genetic algorithms heuristic methods learning systems regression analysis bagging boosting ensemble methods regression aggregates neural networks
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P. Granitto, P. Verdes, and H. Ceccatto
Large-scale investigation of weed seed identification by machine vision
Computers and Electronics in Agriculture (cited By 81), 47(1), 15-24, 2005
color database systems image processing morphology neural networks seed textures automatic identification bayes classifier bayesian approach weed seed computer vision computer vision precision agriculture seed weed anatomy color data bases image analysis neural networks seeds texture vision weeds
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P. Verdes, P. Granitto, and H. Ceccatto
Secular behavior of solar magnetic activity: Nonstationary time-series analysis of the sunspot record
Solar Physics (cited By 7), 221(1), 167-177, 2004
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M. Széliga, P. Verdes, P. Granitto, and H. Ceccatto
Artificial neural network learning of nonstationary behavior in time series
International Journal of Neural Systems (cited By 9), 13(2), 103-109, 2003
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M. Torio, A. Aligia, and H. Ceccatto
Phase diagram of the t-t′-U chain at half filling
Physical Review B - Condensed Matter and Materials Physics (cited By 11), 67(16), 1651021-1651026, 2003
dimer article conductance density energy mathematical model phase transition polarization
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M. Torio, H. Ceccatto, and A. Aligia
Phase diagram of the (formula presented) chain at half filling
Physical Review B - Condensed Matter and Materials Physics (cited By 0), 67(16), 2003
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M. Széliga, P. Verdes, P. Granitto, and H. Ceccatto
Modelling nonstationary dynamics
Physica A: Statistical Mechanics and its Applications (cited By 8), 327(12), 190-194, 2003
algorithms mathematical models problem solving time series analysis dynamical systems neural networks
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P. Granitto, H. Navone, P. Verdes, and H. Ceccatto
Weed seeds identification by machine vision
Computers and Electronics in Agriculture (cited By 89), 33(2), 91-103, 2002
agriculture color neural networks textures agricultural industry seed identification method
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M. Torio, H. Ceccatto, and A. Aligia
Phase diagram of the Hubbard chain with two atoms per cell
Physical Review B - Condensed Matter and Materials Physics (cited By 52), 64(12), 2001
perovskite article dimerization energy transfer geometry phase transition polarization quantum chemistry
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P. Verdes, P. Granitto, H. Navone, and H. Ceccatto
Nonstationary Time-Series Analysis: Accurate Reconstruction of Driving Forces
Physical Review Letters (cited By 37), 87(12), 2001
ecosystems force measurement linearization mathematical models external forces nonstationary time series analysis time series analysis
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P. Granitto, P. Verdes, H. Navone, and H. Ceccatto
A late-stopping method for optimal aggregation of neural networks.
International journal of neural systems (cited By 7), 11(3), 305-310, 2001
article artificial neural network information processing methodology data collection neural networks (computer)
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L. Manuel and H. Ceccatto
Triangular-lattice Heisenberg anti-ferromagnets: A Schwinger-boson study
Canadian Journal of Physics (cited By 0), 79(1112), 1543-1549, 2001
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L. Manuel and H. Ceccatto
Stability of homogeneous magnetic phases in a generalized model
Physical Review B - Condensed Matter and Materials Physics (cited By 8), 61(5), 3470-3474, 2000
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P. Verdes, M. Parodi, P. Granitto, H. Navone, R. Piacentini, and H. Ceccatto
Predictions of the maximum amplitude for solar cycle 23 and its subsequent behavior using nonlinear methods
Solar Physics (cited By 12), 191(2), 419-425, 2000
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R. Calvo and H. Ceccatto
Intelligent document classification
Intelligent Data Analysis (cited By 17), 4(5), 411-420, 2000
classification (of information) knowledge management network architecture neural networks text processing averaging protocol dimensionality reduction document classification informative terms intelligent documents neural network techniques statistical learning text classification information retrieval systems
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H. Navone, P. Verdes, P. Granitto, and H. Ceccatto
Selecting diverse members of neural network ensembles
Proceedings - Brazilian Symposium on Neural Networks, SBRN (cited By 10), 2000, 255-260, 2000
aggregates benchmarking concrete testing concretes database systems diversity reception neural networks noise generators solar energy bagging benchmark testing concrete applications generalization capability individual network neural network ensembles optimization method statistical database concrete aggregates
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M. Torio, A. Aligia, K. Hallberg, and H. Ceccatto
Phase diagram of the extended Hubbard chain with charge-dipole interactions
Physical Review B - Condensed Matter and Materials Physics (cited By 8), 62(11), 6991-6996, 2000
acceleration article correlation function dipole mathematical model molecular interaction polarization quantum theory
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L. Manuel and H. Ceccatto
Magnetic and quantum disordered phases in triangular-lattice Heisenberg antiferromagnets
Physical Review B - Condensed Matter and Materials Physics (cited By 51), 60(13), 9489-9493, 1999
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L. Manuel, M. Micheletti, A. Trumper, and H. Ceccatto
Heisenberg model on the-depleted square lattice and the compound
Physical Review B - Condensed Matter and Materials Physics (cited By 8), 58(13), 8490-8494, 1998
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L. Manuel, A. Trumper, and H. Ceccatto
Rotational invariance and order-parameter stiffness in frustrated quantum spin systems
Physical Review B - Condensed Matter and Materials Physics (cited By 27), 57(14), 8348-8353, 1998
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J. Alvarez, C. Balseiro, and H. Ceccatto
Optical conductivity of the Hubbard model
Physical Review B - Condensed Matter and Materials Physics (cited By 1), 56(3), 1141-1145, 1997
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A. Trumper, L. Manuel, C. Gazza, and H. Ceccatto
Schwinger-boson approach to quantum spin systems: Gaussian fluctuations in the “natural” gauge
Physical Review Letters (cited By 59), 78(11), 2216-2219, 1997
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A. Feiguin, J. Riera, A. Dobry, and H. Ceccatto
Numerical study of the incommensurate phase in spin-Peierls systems
Physical Review B - Condensed Matter and Materials Physics (cited By 43), 56(22), 14607-14613, 1997
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A. Feiguin, C. Gazza, A. Trumper, and H. Ceccatto
The Hubbard model on the triangular lattice: A slave-boson study
Journal of Physics Condensed Matter (cited By 3), 9(4), L27-L32, 1997
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C. Batista, L. Manuel, H. Ceccatto, and A. Aligia
Superconductivity and incommensurate spin fluctuations in a generalized t-J model for the cuprates
Europhysics Letters (cited By 21), 38(2), 147-152, 1997
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L. Manuel, C. Gazza, A. Trumper, and H. Ceccatto
Heisenberg model with Dzyaloshinskii-Moriya interaction: A mean-field Schwinger-boson study
Physical Review B - Condensed Matter and Materials Physics (cited By 7), 54(18), 12946-12952, 1996
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J. V. Alvarez, C. Balseiro, and H. Ceccatto
Spin- and charge-rotation invariant approach to the Hubbard model
Physical Review B - Condensed Matter and Materials Physics (cited By 3), 54(16), 11207-11212, 1996
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H. Navone and H. Ceccatto
Learning chaotic dynamics by neural networks
Chaos, Solitons and Fractals (cited By 11), 6, 383-387, 1995
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S. Koval, C. Gazza, H. Ceccatto, and R. Migoni
Comment on "polaron origin for anharmonicity of the axial oxygen in YBa2Cu3O7"
Physical Review Letters (cited By 3), 75(3), 583, 1995
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A. Feiguin, C. Gazza, A. Trumper, and H. Ceccatto
Spin stiffness of frustrated Heisenberg antiferromagnets: Finite-size scaling
Physical Review B (cited By 8), 52(21), 15043-15045, 1995
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J. V. Alvarez, H. Ceccatto, and C. Balseiro
Mixed boson-fermion description of correlated electrons: Fluctuation corrections in the symmetric treatment
Physical Review B (cited By 2), 52(20), 14511-14515, 1995
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R. Calvo, H. Ceccatto, and R. Piacentini
Neural network prediction of solar activity
Astrophysical Journal (cited By 50), 444(2), 916-921, 1995
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L. Manuel, A. Trumper, C. Gazza, and H. Ceccatto
Kagomé Heisenberg antiferromagnet: Elementary excitations and low-temperature specific heat
Physical Review B (cited By 9), 50(2), 1313-1316, 1994
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H. Ceccatto, C. Gazza, and A. Trumper
Comment on ''Quantum spin nematics: Moment-free magnetism''
Physical Review Letters (cited By 2), 72(12), 1943, 1994
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H. Navone and H. Ceccatto
Predicting Indian monsoon rainfall: a neural network approach
Climate Dynamics (cited By 95), 10(67), 305-312, 1994
forecasting monsoon neural network rainfall india
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H. Ceccatto, C. Gazza, and A. Trumper
Nonclassical disordered phase in the strong quantum limit of frustrated antiferromagnets
Physical Review B (cited By 53), 47(18), 12329-12332, 1993
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C. Gazza and H. Ceccatto
A Schwinger boson approach to Heisenberg antiferromagnets on a triangular lattice
Journal of Physics: Condensed Matter (cited By 29), 5(10), L135-L140, 1993
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H. Ceccatto, C. Gazza, and A. Trumper
J1-J2 model: Energy, correlations, and order-parameter fluctuations on finite lattices
Physical Review B (cited By 25), 45(14), 7832-7836, 1992
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A. Dobry, R. Migoni, and H. Ceccatto
Classical statistical mechanics of the nonlinearly polarizable shell-model chain for ferroelectric materials
Physical Review B (cited By 14), 38(4), 2801-2807, 1988
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H. Ceccatto
Effective discrete-time dynamics in Monte Carlo simulations
Physical Review B (cited By 9), 33(7), 4734-4738, 1986
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H. Ceccatto
Digital dynamics and chaotic behavior in Monte Carlo simulations of magnetic systems
Physical Review B (cited By 1), 34(7), 4889-4891, 1986
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H. Ceccatto and J. Riera
Effective dynamics in Monte Carlo simulations with multispin updatings
Physical Review B (cited By 2), 34(7), 4874-4877, 1986
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H. Ceccatto and J. Riera
Study of the 1D-biased and 2D ultradiffusion models
Journal of Physics A: General Physics (cited By 11), 19(12), L721-L725, 1986
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H. Ceccatto, E. Dagotto, and A. Moreo
Gaussian corrections around the mean-field approximation for the mixed SU(2) lattice gauge theory
Physical Review D (cited By 3), 31(6), 1465-1469, 1985
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H. Ceccatto, A. Foussats, H. Giacomini, and O. Zandron
Quantum field theory in curved space-time. Massive and massless vector fields
Physical Review D (cited By 2), 24(10), 2576-2585, 1981
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H. Ceccatto, A. Foussats, H. Giacomini, and O. Zandron
On the inconsistency of a photon creation mechanism in an expanding universe
Journal of Mathematical Physics (cited By 1), 23(10), 1865-1872, 1981
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H. Ceccatto, A. Foussats, H. Giacomini, and O. Zandron
Yadro G1(kh, x') i kvantovyicyrillic, short p rintsip ekvivalyentio sts
Il Nuovo Cimento B (cited By 1), 65(1), 99-114, 1981
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Conference Papers

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P. Verdes, P. Granitto, M. Széliga, A. Rébola, and H. Ceccatto
Prediction of the CATS benchmark exploiting time-reversal symmetry
IEEE International Conference on Neural Networks - Conference Proceedings (cited By 2), 2, 1631-1634, 2004
cats benchmark data variance normalized mean squared error (nmse) taylor expansion embedded systems information analysis linear algebra linear equations multilayer neural networks problem solving time series analysis benchmarking
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P. Granitto, P. Verdes, H. Navone, and H. Ceccatto
Aggregation algorithms for neural network ensemble construction
Proceedings - Brazilian Symposium on Neural Networks, SBRN (cited By 15), 2002, 178-183, 2002
aggregates benchmarking computer networks database systems neural networks bagging benchmark testing boosting concurrent computing proposals algorithms
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M. Basualdo, R. Calvo, and H. Ceccatto
Neural control strategies of a binary distillation column
IEEE International Symposium on Industrial Electronics (cited By 1), 77-81, 1994
adaptive control systems algorithms artificial intelligence benzene computer simulation computer software data structures distillation mathematical models parallel processing systems process control toluene back propagation algorithm continuous simulation column neural emulator neural networks
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