activity
20222026
most citedA toolbox for idea generation and evaluation: Machine learning, data-driven, and contest-driven approaches to support idea generation

2 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2026

Implementation of Big Data Analytics for Diabetes Management: Needs Assessment in the Rwanda Healthcare System

Silas Majyambere, Tony Lindgren, Workneh Y. Ayele +1

Diabetes is a chronic metabolic disease that can lead to serious health problems if not diagnosed and managed early. Big Data Analytics (BDA) and machine learning offer practical t…

cs.SE2025

Validating API Design Requirements for Interoperability: A Static Analysis Approach Using OpenAPI

Edwin Sundberg, Thea Ekmark, Workneh Yilma Ayele

RESTful APIs are central in developing interoperable, modular, and maintainable software systems in enterprises today. Also, it is essential to support system evolution, service in…

cs.DB2024★ 1 cited

Performance Comparison Analysis of ArangoDB, MySQL, and Neo4j: An Experimental Study of Querying Connected Data

Johan Sandell, Einar Asplund, Workneh Yilma Ayele +1

Choosing and developing performant database solutions helps organizations optimize their operational practices and decision-making. Since graph data is becoming more common, it is…

cs.DC2022

Improving the Utilization of Digital Services - Evaluating Contest - Driven Open Data Development and the Adoption of Cloud Services

Workneh Yilma Ayele

There is a growing interest in utilizing digital services, such as software apps and cloud-based software services. The utilization of digital services is increasing more rapidly t…

cs.LG2022★ 2 cited

A toolbox for idea generation and evaluation: Machine learning, data-driven, and contest-driven approaches to support idea generation

Workneh Yilma Ayele

The significance and abundance of data are increasing due to the growing digital data generated from social media, sensors, scholarly literature, patents, different forms of docume…

cs.IR2022

A Systematic Literature Review about Idea Mining: The Use of Machine-driven Analytics to Generate Ideas

Workneh Y. Ayele, Gustaf Juell-Skielse

Idea generation is the core activity of innovation. Digital data sources, which are sources of innovation, such as patents, publications, social media, websites, etc., are increasi…