Abstract When deep learning models classify the actual data and outlier data, most of them do not have enough information about the outlier, which might cause misclassification. Therefore, there is […]
Visualization Techniques for Outlier Data Read More »
Abstract The amount of data transferred over dedicated and non-dedicated network links has been increasing much faster than the increase in the network capacity. On the other hand, the current
A Two-Phase Dynamic Throughput Optimization Model for Big Data Transfers Read More »
Abstract There is an increasing tension in agriculture between the requirements to assure full safety on the one hand and keep costs under control on the other hand, both with
Advanced visualization of Big Data for Agriculture as Part of Databio Development Read More »
Abstract As the number of data in various industries and government sectors is growing exponentially, the ‘7V’ concept of big data aims to create new value by indiscriminately collecting and
De-identification and Privacy Issues on Bigdata Transformation Read More »
Abstract Machine learning has been pervasively used in a wide range of applications due to its technical breakthroughs in recent years. It has demonstrated significant success in dealing with various
Machine Learning Security: Threats, Countermeasures, and Evaluations Read More »
Abstract Population cancer registries can benefit from deep learning (DL) to automatically extract cancer characteristics from pathology reports. The success of DL is proportional to the availability of large labeled
Privacy-Preserving Deep Learning NLP Models for Cancer Registries Read More »
Abstract The diagnosis of heart disease by the classical medical approach takes a huge amount of time. Besides blood tests and X-ray, this approach includes multiple tests like MRI, Echocardiogram,
A Comparative Study on Machine Learning and Artificial Neural Networking Algorithms Read More »
