Results 21 to 30 of about 1,325,413 (350)
Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN
We propose a new generative model named adaptive cycle-consistent generative adversarial network, or Ad CycleGAN to perform image translation between normal and COVID-19 positive chest X-ray images.
Zhaohui Liang+2 more
doaj +1 more source
An analysis of the thematic network in the field of sociology in Iran [PDF]
Science visualization techniques can give us better understanding of the structure and patterns of scientific activities. The purpose of this article is to create the co-occurrence network of words and concepts found in indexed articles written by ...
M. Khoshnam, Sh. Moshtaq
doaj +1 more source
In Classification learning, an algorithm is presented with a set of classified examples or ‘‘instances’’ from which it is expected to infer a way of classifying unseen instances into one of several ‘‘classes’’.
Witten, Ian H.
core +2 more sources
Designing an Open Source Virtual Assistant
A chatbot is a type of agent that allows people to interact with an information repository using natural language. Nowadays, chatbots have been incorporated in the form of conversational assistants on the most important mobile and desktop platforms.
Anxo Pérez+2 more
doaj +1 more source
Explainable online health information truthfulness in Consumer Health Search
IntroductionPeople are today increasingly relying on health information they find online to make decisions that may impact both their physical and mental wellbeing.
Rishabh Upadhyay+3 more
doaj +1 more source
Heuristical Research on Twelve Decades of Information and Knowledge Creation Utilizing Python and NLP [PDF]
Publications on knowledge and information creation have grown significantly due to their importance in information and knowledge management. This study aims to discover and analyze the hidden thematic topics of information and knowledge creation ...
Farshid Danesh, Meisam Dastani
doaj +1 more source
Learning Multi-Domain Adversarial Neural Networks for Text Classification
Deep neural networks have been applied to learn transferable features for adapting text classification models from a source domain to a target domain. Conventional domain adaptation used to adapt models from an individual specific domain with sufficient ...
Xiao Ding+5 more
doaj +1 more source
Singing Voice Synthesis Using Differentiable LPC and Glottal-Flow-Inspired Wavetables [PDF]
This paper introduces GlOttal-flow LPC Filter (GOLF), a novel method for singing voice synthesis (SVS) that exploits the physical characteristics of the human voice using differentiable digital signal processing.
Fazekas, G+2 more
core
Smart agriculture is a new concept that combines agriculture and new technologies to improve the yield’s quality and quantity as well as facilitate many tasks for farmers in managing orchards.
Abdellatif Moussaid+2 more
doaj +1 more source
Phrase Retrieval Learns Passage Retrieval, Too [PDF]
Dense retrieval methods have shown great promise over sparse retrieval methods in a range of NLP problems. Among them, dense phrase retrieval-the most fine-grained retrieval unit-is appealing because phrases can be directly used as the output for question answering and slot filling tasks.
arxiv