[PDF] Top 20 Using transfer learning for classification of gait pathologies
Has 10000 "Using transfer learning for classification of gait pathologies" found on our website. Below are the top 20 most common "Using transfer learning for classification of gait pathologies".
Using transfer learning for classification of gait pathologies
... trained using over 1.3 million images. However, a dataset of such a scale containing sequences of gait affected by different gait pathologies is currently ...addressed ... See full document
7
Lesion Classification in Mammograms Using Convolutional Neural Networks and Transfer Learning
... subset of the BCDR-FM, comprises 736 grey-level digitized mammograms (426 benign and 310 malign mass lesions) from 344 ...size of 720×1168 (width×height) pixels and a bit depth of 8 bits per pixel in ... See full document
9
Multiple Kernel Learning for Breast Cancer Classification
... cause of cancer death among women according to the World Health ...mammography of the patient. This allows the detection of the cancer in early ...systems of breast cancer ... See full document
92
Phenotype classification of zebrafish embryos by supervised learning.
... Classification using the Matlab Gait-CAD toolbox was shown to be in good correlation with that from experts [28], however more complex defects were not ...images of zebrafish embryos ... See full document
20
Collaborative filtering for brain-computer interaction using transfer learning and active class selection.
... two-class classification problem. The proportion of Class 1 samples and Class 2 samples added in each iteration of the algorithm is determined empirically by forming several class distributions from ... See full document
18
Distribution-Based Categorization of Classifier Transfer Learning
... thousand of Wall Street sentences against the 200 thousand sentences of the biomedical MEDLINE [6, 13] or in SPAM dataset [30]; or, in [24], where a DNN was used for sentiment analysis on the Amazon dataset ... See full document
22
Detection of production defects using Machine Learning based Image Classification Algorithms
... quantity of a dataset is the most crucial factor for the successful solving of a task via a machine learning ...deep learning models specifically to solve vision or language processing ...use ... See full document
65
Transfer learning with convolutional neural networks for diabetic retinopathy image classification
... binary classification task due to the lack of a sufficient number of images for some of the ...lack of severe cases images plays an important role because there are too few images that ... See full document
24
Contributions on Deep Transfer Learning
... phenotype of a cell which prevent tumor growth and ...distinction of small molecules of a host cell from a ...application of Deep Transfer Learning (DTL), a cutting edge machine ... See full document
141
A study of transfer learning for skin lesion classification
... lesion classification challenge to try to obtain better results and employed a transfer learning approach to leverage weights from VGG-16 and VGG-M networks originally trained on ImageNet and ... See full document
105
Lesion classification in mammograms using convolutional neural networks and transfer learning
... classify pathologies in di fferent imaging modalities, including in ...disadvantage of CNNs is the need for large training datasets, which are particularly di fficult to obtain in the medical ...is ... See full document
8
Development of a global gait symmetry score using biomechanical parameters
... repeatability of local symmetry indices. This type of indices quantify symmetry based on a single discrete metric ...portion of the gait cycle ...information of gait waveforms ... See full document
142
Dynamic optimization of classification systems for adaptive incremental learning.
... development of a system capable of incrementally accommodating new data and dynamically tracking new optimum system parameters for self-adaptation, we first ad- dress the optimum selection of ... See full document
194
Human Activities Recognition: a Transfer Learning Approach
... effort of capturing labelled data; and utilise different, but related, datasets to boost ...the classification of ...field of TL, firstly studying its basic terminologies, fundamental to ... See full document
97
Evaluating balance, stability and gait symmetry of stroke patients using kinematic and dynamic gait lab data
... compilation of the list, is responsible for load and process each file (see Appendix ...process of extracting the features takes place, and for that, the functions Extract_Features (see Appendix ...scripts ... See full document
194
A deep learning approach for sentence classification of scientific abstracts
... The classification of scientific abstracts is a particular instance of the sequen- tial classification task, considering there is a typical order in the classes ...This classification ... See full document
11
View-invariant gait recognition system using a gait energy image decomposition method
... Abstract: Gait recognition systems can capture biometrical information from a distance and without the user’s active cooperation, making them suitable for surveillance ...for gait recognition that need to ... See full document
22
Machine Learning Algorithmsfor Automatic Classification of Marmoset Vocalizations
... species of arboreal New World monkeys native to the northeast region of ...model of a number of human diseases, as well as for basic research in neuroscience [1, 2] and genetics ...Examples ... See full document
14
BENCHMARK OF MACHINE LEARNING METHODS FOR CLASSIFICATION OF A SENTINEL-2 IMAGE
... bulk of free digital images of the Earth surface is readily available nowadays for download by anyone with internet ...part of the European Copernicus program, the recently launched Sentinel-2 ... See full document
6
Imbalanced learning in land cover classification
... usefulness of SMOTE for remote sensing applications, it still has some ...disadvantage of generating noisy data [ 27 ...variations of SMOTE have been developed. B-SMOTE is one of the most ... See full document
14
temas relacionados