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Enhancing Histopathological Image Classification Performance through Synthetic Data Generation with Generative Adversarial Networks

Sensors (Basel, Switzerland), 2024-06, Vol.24 (12), p.3777

2024

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Improved detection of small objects in road network sequences using CNN and super resolution

Expert systems, 2022-02, Vol.39 (2), p.n/a

2022

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Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images

Integrated computer-aided engineering, 2018-01, Vol.25 (4), p.321-333

2018

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Foreground Detection by Competitive Learning for Varying Input Distributions

International journal of neural systems, 2018-06, Vol.28 (5), p.1750056

2018

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MRI Segmentation of the Human Brain: Challenges, Methods, and Applications

Computational and mathematical methods in medicine, 2015-01, Vol.2015 (2015), p.1-23

2015

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Background subtraction by probabilistic modeling of patch features learned by deep autoencoders

Integrated computer-aided engineering, 2020-05, Vol.27 (3), p.253-265

2020

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Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers

IEEE transaction on neural networks and learning systems, 2016-09, Vol.27 (9), p.1840-1850

2016

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Panorama construction for PTZ camera surveillance with the neural gas network

Expert systems, 2018-04, Vol.35 (2), p.n/a

2018

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Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs

IEEE access, 2020, Vol.8, p.79552-79560

2020

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Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data

Theoretical biology and medical modelling, 2014-05, Vol.11 Suppl 1 (S1), p.S7-S7, Article S7

2014

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The effect of noise on foreground detection algorithms

The Artificial intelligence review, 2018-03, Vol.49 (3), p.407-438

2018

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Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting

Neurocomputing (Amsterdam), 2020-07, Vol.398, p.314-327

2020

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Foreground detection by ensembles of random polygonal tilings

Expert systems with applications, 2020-12, Vol.161, p.113518, Article 113518

2020

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Anomalous object detection by active search with PTZ cameras

Expert systems with applications, 2021-11, Vol.181, p.115150, Article 115150

2021

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Optimized instance segmentation by super-resolution and maximal clique generation

Integrated computer-aided engineering, 2023-01, Vol.30 (3), p.243-256

2023

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Assessment of geometric features for individual identification and verification in biometric hand systems

Expert systems with applications, 2013-07, Vol.40 (9), p.3580-3594

2013

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Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation

Sensors (Basel, Switzerland), 2023-08, Vol.23 (16), p.7185

2023

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The effect of downsampling–upsampling strategy on foreground detection algorithms

The Artificial intelligence review, 2020-10, Vol.53 (7), p.4935-4965

2020

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Real-Time Deep Learning Framework for Accurate Speed Estimation of Surrounding Vehicles in Autonomous Driving

Electronics (Basel), 2024-07, Vol.13 (14), p.2790

2024

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Stochastic approximation for background modelling

Computer vision and image understanding, 2011-06, Vol.115 (6), p.735-749

2011

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Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences

Pattern recognition letters, 2019-07, Vol.125, p.481-487

2019

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Foreground detection in video sequences with probabilistic self-organizing maps

International journal of neural systems, 2011-06, Vol.21 (3), p.225-246

2011

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An adaptive system for compressed video deblocking

Signal processing, 2014-10, Vol.103, p.415-425

2014

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Fuzzy techniques for IPO underpricing prediction

Journal of intelligent & fuzzy systems, 2018-01, Vol.35 (1), p.367-381

2018

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Study and classification of plum varieties using image analysis and deep learning techniques

Progress in artificial intelligence, 2018-06, Vol.7 (2), p.119-127

2018

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Enhancing Histopathological Image Classification Performance through Synthetic Data Generation with Generative Adversarial Networks

Improved detection of small objects in road network sequences using CNN and super resolution

Vehicle type detection by ensembles of convolutional neural networks operating on super resolved images

Foreground Detection by Competitive Learning for Varying Input Distributions

MRI Segmentation of the Human Brain: Challenges, Methods, and Applications

Background subtraction by probabilistic modeling of patch features learned by deep autoencoders

Efficient Implementation of the Backpropagation Algorithm in FPGAs and Microcontrollers

Panorama construction for PTZ camera surveillance with the neural gas network

Aggregation of Convolutional Neural Network Estimations of Homographies by Color Transformations of the Inputs

Application of genetic algorithms and constructive neural networks for the analysis of microarray cancer data

The effect of noise on foreground detection algorithms

Deep learning-based super-resolution of 3D magnetic resonance images by regularly spaced shifting

Foreground detection by ensembles of random polygonal tilings

Anomalous object detection by active search with PTZ cameras

Optimized instance segmentation by super-resolution and maximal clique generation

Assessment of geometric features for individual identification and verification in biometric hand systems

Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation

The effect of downsampling–upsampling strategy on foreground detection algorithms

Real-Time Deep Learning Framework for Accurate Speed Estimation of Surrounding Vehicles in Autonomous Driving

Stochastic approximation for background modelling

Foreground detection by probabilistic modeling of the features discovered by stacked denoising autoencoders in noisy video sequences

Foreground detection in video sequences with probabilistic self-organizing maps

An adaptive system for compressed video deblocking

Fuzzy techniques for IPO underpricing prediction

Study and classification of plum varieties using image analysis and deep learning techniques

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