Block-based convolutional neural network for image forgery detection
With the development of a variety of image editing tools, performing digital image forgery
and concealing the forgery edge is easier. On the other hand, these visually convincing …
and concealing the forgery edge is easier. On the other hand, these visually convincing …
[HTML][HTML] How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles
SQ Dong, YM Sun, T Xu, LB Zeng, XY Du, X Yang… - Petroleum Science, 2023 - Elsevier
Typically, relationship between well logs and lithofacies is complex, which leads to low
accuracy of lithofacies identification. Machine learning (ML) methods are often applied to …
accuracy of lithofacies identification. Machine learning (ML) methods are often applied to …
Spatially fine-grained urban air quality estimation using ensemble semi-supervised learning and pruning
L Chen, Y Cai, Y Ding, M Lv, C Yuan… - Proceedings of the 2016 …, 2016 - dl.acm.org
Air pollution has adverse effects on humans and ecosystem, and spatially fine-grained air
quality information (ie, the air quality information of every fine-grained area) can help people …
quality information (ie, the air quality information of every fine-grained area) can help people …
Neural network ensemble-based computer-aided diagnosis for differentiation of lung nodules on CT images: clinical evaluation
H Chen, Y Xu, Y Ma, B Ma - Academic radiology, 2010 - Elsevier
RATIONALE AND OBJECTIVES: To evaluate the diagnostic performance of a neural
network ensemble-based computer-aided diagnosis (CAD) scheme for classifying lung …
network ensemble-based computer-aided diagnosis (CAD) scheme for classifying lung …
Ensemble‐based surrogate modeling of microwave antennas using XGBoost algorithm
With respect to the ever‐increasing performance needs in communication technologies, the
need for accurate and computational efficient design optimization methods for high‐end …
need for accurate and computational efficient design optimization methods for high‐end …
Change detection of land use and land cover in an urban region with SPOT-5 images and partial Lanczos extreme learning machine
Satellite remote sensing technology and the science associated with evaluation of land use
and land cover (LULC) in an urban region makes use of the wide range images and …
and land cover (LULC) in an urban region makes use of the wide range images and …
Representation plurality and fusion for 3-D face recognition
In this paper, we present an extensive study of 3-D face recognition algorithms and examine
the benefits of various score-, rank-, and decision-level fusion rules. We investigate face …
the benefits of various score-, rank-, and decision-level fusion rules. We investigate face …
Diversity-aware classifier ensemble selection via f-score
The primary effect of using a reduced number of classifiers is a reduction in the
computational requirements during learning and classification time. In addition to this …
computational requirements during learning and classification time. In addition to this …
[PDF][PDF] A comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted features
Digital image forgery (DIF) is the act of deliberate alteration of an image to change the
details transmitted by it. The manipulation may either add, delete or alter any of the image …
details transmitted by it. The manipulation may either add, delete or alter any of the image …
Efficiency investigation from shallow to deep neural network techniques in human activity recognition
In the last years, several researchers measured different recognition rates with different
artificial neural network (ANN) techniques on public data sets in the human activity …
artificial neural network (ANN) techniques on public data sets in the human activity …