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Sparse On-Line Gaussian Processes

Neural computation, 2002-03, Vol.14 (3), p.641-668

2002

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Evaluating cooperative-competitive dynamics with deep Q-learning

Neurocomputing (Amsterdam), 2023-09, Vol.550, p.126507, Article 126507

2023

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Active Learning with Bayesian UNet for Efficient Semantic Image Segmentation

Journal of imaging, 2021-02, Vol.7 (2), p.37

2021

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Central European Functional Programming School: 5th Summer School, CEFP 2013, Cluj-Napoca, Romania, July 8-20, 2013, Revised Selected Papers

1, 2015

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Deep multiple affinity model for proposal-free single instance segmentation

International journal of computational vision and robotics, 2024, Vol.14 (5), p.491-509

2024

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Linear spectral hashing

Neurocomputing (Amsterdam), 2014-10, Vol.141, p.117-123

2014

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Wavelet-Based Prototype Networks

2023 IEEE 21st Jubilee International Symposium on Intelligent Systems and Informatics (SISY), 2023, p.000277-000282

2023

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The Use of Simple Cellular Automata in Image Processing

Studia Universitatis Babeș-Bolyai. Informatica, 2017-12, Vol.62 (2), p.5-16

2017

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Comparative Study of Interpretable Image Classification Models

Infocommunications journal, 2023, Vol.15 (Special Issue), p.20-26

2023

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Alignment-based transfer learning for robot models

The 2013 International Joint Conference on Neural Networks (IJCNN), 2013, p.1-7

2013

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Indirect robot model learning for tracking control

Advanced robotics, 2014-05, Vol.28 (9), p.589-599

2014

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Distortion Estimation Through Explicit Modeling of the Refractive Surface

Artificial Neural Networks and Machine Learning – ICANN 2019: Image Processing, p.17-28

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Central European Functional Programming School: 5th Summer School, CEFP 2013, Cluj-Napoca, Romania, July 8-20, 2013, Revised Selected Papers

2015, 2015

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Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise

Computers & geosciences, 2011-03, Vol.37 (3), p.295-309

2011

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A note on label propagation for semi-supervised learning

Acta Universitatis Sapientiae. Informatica, 2015-06, Vol.7 (1), p.18-30

2015

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Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning

Artificial Neural Networks and Machine Learning – ICANN 2013, p.170-177

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Hessian Corrected Input Noise Models

Artificial Neural Networks and Machine Learning – ICANN 2013, p.1-8

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Bayesian Network Classifier for Medical Data Analysis

International Journal of Computers Communications & Control, 2009-03, Vol.4 (1), p.65

2009

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Improving Gaussian Process Value Function Approximation in Policy Gradient Algorithms

Artificial Neural Networks and Machine Learning – ICANN 2011, p.221-228

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Bayesian analysis of the scatterometer wind retrieval inverse problem: some new approaches

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2004-08, Vol.66 (3), p.609-626

2004

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Deep multiple affinity model for proposal-free single instance segmentation

International journal of computational vision and robotics, 2022, Vol.1 (1), p.1

2022

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Simulation-Extrapolation Gaussian Processes for Input Noise Modeling

2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014, p.189-195

2014

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Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise: Geoinformatics for Environmental Surveillance

Computers & geosciences, 2011, Vol.37 (3), p.295-309

2011

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Hierarchical and Reweighting Cluster Kernels for Semi-Supervised Learning

International Journal of Computers Communications & Control, 2010-11, Vol.5 (4), p.469

2010

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Learning inverse kinematics with structured prediction

2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011, p.698-703

2011

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Sparse On-Line Gaussian Processes

Evaluating cooperative-competitive dynamics with deep Q-learning

Active Learning with Bayesian UNet for Efficient Semantic Image Segmentation

Central European Functional Programming School: 5th Summer School, CEFP 2013, Cluj-Napoca, Romania, July 8-20, 2013, Revised Selected Papers

Deep multiple affinity model for proposal-free single instance segmentation

Linear spectral hashing

Wavelet-Based Prototype Networks

The Use of Simple Cellular Automata in Image Processing

Comparative Study of Interpretable Image Classification Models

Alignment-based transfer learning for robot models

Indirect robot model learning for tracking control

Distortion Estimation Through Explicit Modeling of the Refractive Surface

Central European Functional Programming School: 5th Summer School, CEFP 2013, Cluj-Napoca, Romania, July 8-20, 2013, Revised Selected Papers

Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise

A note on label propagation for semi-supervised learning

Novel Feature Selection and Kernel-Based Value Approximation Method for Reinforcement Learning

Hessian Corrected Input Noise Models

Bayesian Network Classifier for Medical Data Analysis

Improving Gaussian Process Value Function Approximation in Policy Gradient Algorithms

Bayesian analysis of the scatterometer wind retrieval inverse problem: some new approaches

Deep multiple affinity model for proposal-free single instance segmentation

Simulation-Extrapolation Gaussian Processes for Input Noise Modeling

Projected sequential Gaussian processes: A C++ tool for interpolation of large datasets with heterogeneous noise: Geoinformatics for Environmental Surveillance

Hierarchical and Reweighting Cluster Kernels for Semi-Supervised Learning

Learning inverse kinematics with structured prediction

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