Results 31 to 40 of about 10,996,254 (276)

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
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, Xiangyu Zhao, Li Zhao, Dawei Yin, G. Yang, Alex Beutel   +5 more
semanticscholar   +1 more source

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, Paula Lopez-Otero, Javier Parapar   +2 more
doaj   +1 more source

Meeting the review family: exploring review types and associated information retrieval requirements.

Health Information and Libraries Journal, 2019
BACKGROUND AND OBJECTIVES The last decade has witnessed increased recognition of the value of literature reviews for advancing understanding and decision making.
A. Sutton, M. Clowes, L. Preston, A. Booth   +3 more
semanticscholar   +1 more source

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, Qiankun Shi, Bibo Cai, Ting Liu, Yanyan Zhao, Qiang Ye   +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, Petr Knoth, Gabriella Pasi, Marco Viviani   +3 more
doaj   +1 more source

Tree Crowns Segmentation and Classification in Overlapping Orchards Based on Satellite Images and Unsupervised Learning Algorithms

Journal of Imaging, 2021
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, Sanaa El Fkihi, Yahya Zennayi   +2 more
doaj   +1 more source

Query Expansion Techniques for Information Retrieval: a Survey [PDF]

Information Processing & Management, 2017
With the ever increasing size of the web, relevant information extraction on the Internet with a query formed by a few keywords has become a big challenge. Query Expansion (QE) plays a crucial role in improving searches on the Internet.
Dr. Hiteshwar Kumar Azad, A. Deepak
semanticscholar   +1 more source

Enhanced Lightweight Object Detection Model in Complex Scenes: An Improved YOLOv8n Approach

Information
Object detection has a vital impact on the analysis and interpretation of visual scenes. It is widely utilized in various fields, including healthcare, autonomous driving, and vehicle surveillance.
Sohaya El Hamdouni, Boutaina Hdioud, Sanaa El Fkihi   +2 more
doaj   +1 more source

Context_Driven Emotion Recognition: Integrating Multi_Cue Fusion and Attention Mechanisms for Enhanced Accuracy on the NCAER_S Dataset

Information
In recent years, most conventional emotion recognition approaches have concentrated primarily on facial cues, often overlooking complementary sources of information such as body posture and contextual background.
Merieme Elkorchi, Boutaina Hdioud, Rachid Oulad Haj Thami, Safae Merzouk   +3 more
doaj   +1 more source