Cervical cancer is the leading gynecological malignancy worldwide. This paper presents diverse classification techniques and shows the advantage of feature selection approaches to the best predicting of cervical cancer disease. There are thirty-two a...
Apr 15, 2025 · The World Economic Forum announces the Young Global Leaders (YGL) Class of 2025, a cohort of 116 remarkable individuals who are shaping industries and driving progress worldwide.
Apr 15, 2025 · The World Economic Forum announces the Young Global Leaders (YGL) Class of 2025, a cohort of 116 remarkable individuals who are shaping industries and driving progress worldwide.
Advice classes in computational complexity have frequently been used to model real-world scenarios encountered in cryptography, quantum computing and machine learning, where some computational task may be broken down into a preprocessing and deployme...
Apr 15, 2025 · The World Economic Forum announces the Young Global Leaders (YGL) Class of 2025, a cohort of 116 remarkable individuals who are shaping industries and driving progress worldwide.
Protein classification tasks are essential in drug discovery. Real-world protein structures are dynamic, which will determine the properties of proteins. However, the existing machine learning methods, like ProNet (Wang et al., 2022a), only access li...
Real-world graphs generally have only one kind of tendency in their connections. These connections are either homophily-prone or heterophily-prone. While graphs with homophily-prone edges tend to connect nodes with the same class (i.e., intra-class n...
Signed networks contain both positive and negative kinds of interactions like friendship and enmity. The task of node classification in non-signed graphs has proven to be beneficial in many real world applications, yet extensions to signed networks r...
I've been involved in the classical music world for quite some time. And I've noticed that very few here, as well as on other platforms with classical music forums, are fans or enthusiasts of Mozart. ...
Although ultimately motivated by quantum theoretical considerations, Everett's many-world idea remains valid, as an approximation, in the classical limit. However to be applicable it must in any case be applied in conjunction with an appropriate anth...
Quantum Computing and especially Quantum Machine Learning, in a short period of time, has gained a lot of interest through research groups around the world. This can be seen in the increasing number of proposed models for pattern classification apply...
Retail Product Image Classification is an important Computer Vision and Machine Learning problem for building real world systems like self-checkout stores and automated retail execution evaluation. In this work, we present various tricks to increase...