Results 21 to 30 of about 10,118,950 (292)
Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN
Sensors, 2022 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
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction
BMC Bioinformatics, 2018 Background Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance.
Shashank Gupta +4 more
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Multilingual multi-aspect explainability analyses on machine reading comprehension models
iScience, 2022 Summary: Achieving human-level performance on some of the machine reading comprehension (MRC) datasets is no longer challenging with the help of powerful pre-trained language models (PLMs).
Yiming Cui +5 more
doaj +1 more source
Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020 Information retrieval (IR) techniques, such as search, recommendation and online advertising, satisfying users' information needs by suggesting users personalized objects (information or services) at the appropriate time and place, play a crucial role in
Weinan Zhang +5 more
semanticscholar +1 more source
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models [PDF]
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017 This paper provides a unified account of two schools of thinking in information retrieval modelling: the generative retrieval focusing on predicting relevant documents given a query, and the discriminative retrieval focusing on predicting relevancy given
Jun Wang +7 more
semanticscholar +1 more source
An analysis of the thematic network in the field of sociology in Iran [PDF]
Interdisciplinary Studies in the Humanities, 2023 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
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Designing an Open Source Virtual Assistant
Proceedings, 2020 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
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Learning Multi-Domain Adversarial Neural Networks for Text Classification
IEEE Access, 2019 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
Explainable online health information truthfulness in Consumer Health Search
Frontiers in Artificial Intelligence, 2023 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
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Proceedings of IEEE 36th Annual Foundations of Computer Science, 1995 We describe schemes that enable a user to access k replicated copies of a database (k/spl ges/2) and privately retrieve information stored in the database. This means that each individual database gets no information on the identity of the item retrieved
B. Chor +3 more
semanticscholar +1 more source