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Mid-short-term daily runoff forecasting by ANNs and multiple process-based hydrological models

2009 IEEE Youth Conference on Information, Computing and Telecommunication, 2009, p.526-529

2009

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Volltext

Daily streamflow forecasting by Artificial Neural Network in a large-scale basin

2009 IEEE Youth Conference on Information, Computing and Telecommunication, 2009, p.487-490

2009

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Volltext

Disjunctive Cuts for Non-convex Mixed Integer Quadratically Constrained Programs

Integer Programming and Combinatorial Optimization, p.17-33

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Low rank regularization exploiting intra and inter patch correlation for image denoising

2017 IEEE Visual Communications and Image Processing (VCIP), 2017, p.1-4

2017

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Volltext

Spatio-temporal granular logic and its applications to dynamic information systems

2005 IEEE International Conference on Granular Computing, 2005, Vol.1, p.203-208 Vol. 1

2005

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Volltext

A Convergence Analysis of a Multistep Method Applied to an Advection-Diffusion Equation in 1-D

Computational Science and Its Applications – ICCSA 2020, p.3-18

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Semidefinite Approaches for MIQCP: Convex Relaxations and Practical Methods

Modeling and Optimization: Theory and Applications, p.49-75

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A scalable two-stage approach for a class of dimensionality reduction techniques

Proceedings of the 16th ACM SIGKDD international conference on knowledge discovery and data mining, 2010, p.313-322

2010

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A Unified Framework to Study the Properties of the PLS Vector of Regression Coefficients

The Multiple Facets of Partial Least Squares and Related Methods, p.227-237

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Unsupervised Feature Selection with Adaptive Structure Learning

Proceedings of the 21th ACM SIGKDD International Conference on knowledge discovery and data mining, 2015, p.209-218

2015

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Building statistical models and scoring with UDFs

International Conference on Management of Data: Proceedings of the 2007 ACM SIGMOD international conference on Management of data; 11-14 June 2007, 2007, p.1005-1016

Ordonez, Carlos

2007

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Latent semantic sparse hashing for cross-modal similarity search

Proceedings of the 37th international ACM SIGIR conference on research & development in information retrieval, 2014, p.415-424

2014

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Clustering and projected clustering with adaptive neighbors

Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining, 2014, p.977-986

2014

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A least squares formulation for a class of generalized eigenvalue problems in machine learning

Proceedings of the 26th Annual International Conference on machine learning, 2009, p.977-984

2009

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Multimodal Attention-Based Learning for Imbalanced Corporate Documents Classification

Document Analysis and Recognition – ICDAR 2021, 2021, p.223-237

2021

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Learning Latent Variable Models with Discriminant Regularization

Agents and Artificial Intelligence, p.378-398

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Differential privacy and robust statistics

Proceedings of the forty-first annual ACM symposium on theory of computing, 2009, p.371-380

2009

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Research of reliability and efficiency of technological processes of mechanical assembly production on the basis of the common semi-Markov model

MATEC Web of Conferences, 2018, Vol.224, p.1138

2018

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Decoding the Representation of Code in the Brain: An fMRI Study of Code Review and Expertise

2017 IEEE/ACM 39th International Conference on Software Engineering (ICSE), 2017, p.175-186

2017

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Volltext

Hypergraph spectral learning for multi-label classification

Proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining, 2008, p.668-676

2008

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Human Control Intent Inference Using ESNs and Input-Tracking Based Inverse Model Predictive Control

Intelligent Robotics and Applications, p.642-653

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Full regularization path for sparse principal component analysis

ACM International Conference Proceeding Series; Vol. 227: Proceedings of the 24th international conference on Machine learning; 20-24 June 2007, 2007, p.177-184

2007

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A least squares formulation for canonical correlation analysis

Proceedings of the 25th international conference on machine learning, 2008, p.1024-1031

2008

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Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis

Information Processing in Medical Imaging, p.136-149

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Research on Application of Principal Component Analysis in 3d Video Dimension Reduction

Artificial Intelligence and Security, p.16-26

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Mid-short-term daily runoff forecasting by ANNs and multiple process-based hydrological models

Daily streamflow forecasting by Artificial Neural Network in a large-scale basin

Disjunctive Cuts for Non-convex Mixed Integer Quadratically Constrained Programs

Low rank regularization exploiting intra and inter patch correlation for image denoising

Spatio-temporal granular logic and its applications to dynamic information systems

A Convergence Analysis of a Multistep Method Applied to an Advection-Diffusion Equation in 1-D

Semidefinite Approaches for MIQCP: Convex Relaxations and Practical Methods

A scalable two-stage approach for a class of dimensionality reduction techniques

A Unified Framework to Study the Properties of the PLS Vector of Regression Coefficients

Unsupervised Feature Selection with Adaptive Structure Learning

Building statistical models and scoring with UDFs

Latent semantic sparse hashing for cross-modal similarity search

Clustering and projected clustering with adaptive neighbors

A least squares formulation for a class of generalized eigenvalue problems in machine learning

Multimodal Attention-Based Learning for Imbalanced Corporate Documents Classification

Learning Latent Variable Models with Discriminant Regularization

Differential privacy and robust statistics

Research of reliability and efficiency of technological processes of mechanical assembly production on the basis of the common semi-Markov model

Decoding the Representation of Code in the Brain: An fMRI Study of Code Review and Expertise

Hypergraph spectral learning for multi-label classification

Human Control Intent Inference Using ESNs and Input-Tracking Based Inverse Model Predictive Control

Full regularization path for sparse principal component analysis

A least squares formulation for canonical correlation analysis

Nested Grassmanns for Dimensionality Reduction with Applications to Shape Analysis

Research on Application of Principal Component Analysis in 3d Video Dimension Reduction

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