Evidence-based recommender system for a covid-19 publication analytics service
The rapid growth of COVID-19 publications has driven clinical researchers and healthcare
professionals in pursuit to reduce the knowledge gap on reliable information for effective …
professionals in pursuit to reduce the knowledge gap on reliable information for effective …
Learning tax regulations through rules-based chatbots using decision trees: a case study at the time of COVID-19
R Mellado-Silva, A Faúndez-Ugalde… - … conference of the …, 2020 - ieeexplore.ieee.org
Chatbots have represented a revolution in how companies relate internally to their
collaborators and externally to their customers. The impact they have had is directly related …
collaborators and externally to their customers. The impact they have had is directly related …
Designing a conversational agent for supporting data exploration in citizen science
Data is ubiquitous in today's digitized society. However, access to and literacy in handling
data plays a pivotal role in determining who can benefit from it and who can use—or …
data plays a pivotal role in determining who can benefit from it and who can use—or …
Recommender‐as‐a‐service with chatbot guided domain‐science knowledge discovery in a science gateway
K Vekaria, P Calyam, SS Sivarathri… - Concurrency and …, 2021 - Wiley Online Library
Scientists in disciplines such as neuroscience and bioinformatics are increasingly relying on
science gateways for experimentation on voluminous data, as well as analysis and …
science gateways for experimentation on voluminous data, as well as analysis and …
Domain-specific topic model for knowledge discovery in computational and data-intensive scientific communities
Shortened time to knowledge discovery and adapting prior domain knowledge is a
challenge for computational and data-intensive communities such as eg, bioinformatics and …
challenge for computational and data-intensive communities such as eg, bioinformatics and …
Neuroimaging-ITM: A text mining pipeline combining deep adversarial learning with interaction based topic modeling for enabling the fair neuroimaging study
J Yan, L Chen, Y Yu, H Xu, Z Xu, Y Sheng, J Chen - Neuroinformatics, 2022 - Springer
Sharing various neuroimaging digital resources have received widespread attention in FAIR
(Findable, Accessible, Interoperable and Reusable) neuroscience. In order to support a …
(Findable, Accessible, Interoperable and Reusable) neuroscience. In order to support a …
Cloud-based data pipeline orchestration platform for COVID-19 evidence-based analytics
Identifying high-quality publications remains a critical challenge for health-care data
consumers (eg, immunologists, clinical researchers) who seek to make timely decisions …
consumers (eg, immunologists, clinical researchers) who seek to make timely decisions …
The role of vidura chatbot in the diffusion of KnowCOVID-19 gateway
The COVID-19 pandemic is an unprecedented global emergency. Clinicians and medical
researchers are suddenly thrown into a situation where they need to keep up with the latest …
researchers are suddenly thrown into a situation where they need to keep up with the latest …
AI-driven analysis: optimizing tertiary education policy through machine learning insights
Tertiary education is universally recognized as crucial for equipping individuals with the
essential knowledge and skills, advancing efforts towards equitable access to quality higher …
essential knowledge and skills, advancing efforts towards equitable access to quality higher …
Science gateway adoption using plug‐in middleware for evidence‐based healthcare data management
There is a growing need for next‐generation science gateways to increase the accessibility
of emerging large‐scale datasets for data consumers (eg, clinicians, researchers) who aim …
of emerging large‐scale datasets for data consumers (eg, clinicians, researchers) who aim …