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Comparison of traditional and synchrotron beam methodologies in Mössbauer experiments in a rotating system

Journal of synchrotron radiation, 2021-01, Vol.28 (1), p.78-85

2021

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A Self-Supervised Decision Fusion Framework for Building Detection

IEEE journal of selected topics in applied earth observations and remote sensing, 2016-05, Vol.9 (5), p.1780-1791

2016

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Elaborations on Mössbauer rotor experiments with synchrotron radiation and with usual resonant sources

Journal of synchrotron radiation, 2018-11, Vol.25 (6), p.1703-1710

2018

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Fraud detection from paper texture using Siamese networks

Signal, image and video processing, 2023-10, Vol.17 (7), p.3369-3376

2023

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Building Detection With Decision Fusion

IEEE journal of selected topics in applied earth observations and remote sensing, 2013-06, Vol.6 (3), p.1295-1304

2013

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Just noticeable difference for machine perception and generation of regularized adversarial images with minimal perturbation

Signal, image and video processing, 2022-09, Vol.16 (6), p.1595-1606

2022

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EEG Classification by Factoring in Sensor Spatial Configuration

IEEE access, 2021, Vol.9, p.19053-19065

2021

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Multi-way, multilingual neural machine translation

Computer speech & language, 2017-09, Vol.45, p.236-252

2017

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Segmentation Fusion for Building Detection Using Domain-Specific Information

IEEE journal of selected topics in applied earth observations and remote sensing, 2015-07, Vol.8 (7), p.3305-3315

2015

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Optical character recognition for cursive handwriting

IEEE transactions on pattern analysis and machine intelligence, 2002-06, Vol.24 (6), p.801-813

2002

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Deep learning for brain decoding

2014 IEEE International Conference on Image Processing (ICIP), 2014, p.2784-2788

2014

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Image segmentation by fusion of low level and domain specific information via Markov Random Fields

Pattern recognition letters, 2014-09, Vol.46, p.75-82

2014

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An essential approach to the architecture of diatomic molecules: 1. Basic theory

Optics and spectroscopy, 2004-11, Vol.97 (5), p.683-690

Yarman, T.

2004

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An essential approach to the architecture of diatomic molecules: 2. How are size, vibrational period of time, and mass interrelated?

Optics and spectroscopy, 2004-11, Vol.97 (5), p.691-700

Yarman, T.

2004

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An overview of character recognition focused on off-line handwriting

IEEE transactions on human-machine systems, 2001-05, Vol.31 (2), p.216-233

2001

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DidEye: An Attempt for Defining and Incorporating Visual Intuition for Convolutional Neural Networks

2023 31st Signal Processing and Communications Applications Conference (SIU), 2023, p.1-4

2023

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Non-Euclidean Vector Product for Neural Networks

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, p.6862-6866

2018

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Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding

International journal of cognitive informatics & natural intelligence, 2013-07, Vol.7 (3), p.46-57

2013

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PROPAGATION OF ELECTROMAGNETIC FIELDS IN NEAR AND FAR ZONES: ACTUALIZED APPROACH WITH NON-ZERO TRACE ELECTRO-MAGNETIC ENERGY-MOMENTUM TENSOR

Progress in electromagnetics research M Pier M, 2012-07, Vol.22, p.57-72

2012

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A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding

IEEE transactions on signal and information processing over networks, 2017-12, Vol.3 (4), p.683-694

2017

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Early Diagnosis of Alzheimer Disease with Shannon Information Source Model of the Brain

2023 31st Signal Processing and Communications Applications Conference (SIU), 2023, p.1-4

2023

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Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models

IEEE journal on selected areas in communications, 2013-07, Vol.31 (7), p.1306-1318

2013

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Representation Learning for Contextual Object and Region Detection in Remote Sensing

2014 22nd International Conference on Pattern Recognition, 2014, p.3708-3713

2014

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Learning Deep Temporal Representations for fMRI Brain Decoding

Machine Learning Meets Medical Imaging, p.25-34

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Fusion of Image Segmentations under Markov, Random Fields

2014 22nd International Conference on Pattern Recognition, 2014, p.930-935

2014

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Comparison of traditional and synchrotron beam methodologies in Mössbauer experiments in a rotating system

A Self-Supervised Decision Fusion Framework for Building Detection

Elaborations on Mössbauer rotor experiments with synchrotron radiation and with usual resonant sources

Fraud detection from paper texture using Siamese networks

Building Detection With Decision Fusion

Just noticeable difference for machine perception and generation of regularized adversarial images with minimal perturbation

EEG Classification by Factoring in Sensor Spatial Configuration

Multi-way, multilingual neural machine translation

Segmentation Fusion for Building Detection Using Domain-Specific Information

Optical character recognition for cursive handwriting

Deep learning for brain decoding

Image segmentation by fusion of low level and domain specific information via Markov Random Fields

An essential approach to the architecture of diatomic molecules: 1. Basic theory

An essential approach to the architecture of diatomic molecules: 2. How are size, vibrational period of time, and mass interrelated?

An overview of character recognition focused on off-line handwriting

DidEye: An Attempt for Defining and Incorporating Visual Intuition for Convolutional Neural Networks

Non-Euclidean Vector Product for Neural Networks

Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding

PROPAGATION OF ELECTROMAGNETIC FIELDS IN NEAR AND FAR ZONES: ACTUALIZED APPROACH WITH NON-ZERO TRACE ELECTRO-MAGNETIC ENERGY-MOMENTUM TENSOR

A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding

Early Diagnosis of Alzheimer Disease with Shannon Information Source Model of the Brain

Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models

Representation Learning for Contextual Object and Region Detection in Remote Sensing

Learning Deep Temporal Representations for fMRI Brain Decoding

Fusion of Image Segmentations under Markov, Random Fields

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