BMC Bioinformatics, décembre 2016, Volume : 17, Numéro : 1
Expression quantitative trait loci (eQTL) mapping is often used to identify genetic loci and candidate genes correlated with traits. Although usually a group...
International Journal of Cognitive Informatics and Natural Intelligence, IGI Global, octobre 2021, Volume : 15, Numéro : 4
Security and Information Event Management (SIEM) systems require significant manual input; SIEM tools with machine learning minimizes this effort but are...
Applied Energy, Elsevier, 29 juin 2022, Volume : 322, Numéro : C
Transport electrification introduces new opportunities in supporting sustainable mobility. Fostering Electric Vehicle (EV) adoption integrates vehicle range...
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Canadian Artificial Intelligence Association, 27 mai 2022
Jurisdictions around the world have adopted algorithmic policing technologies. The response to concerns about fairness and privacy often includes a claim that...
2022 IEEE International Conference on Big Data (Big Data), IEEE, 17 décembre 2022
Anomalous behavior detection is an important component in many applications. Anomalies can represent problematic situations where early detection is critical...
2017 IEEE International Conference on Big Data (Big Data), IEEE, décembre 2017
With the growing number of Open Data initiatives and the increased volume of related data, new forms of civic engagement are emerging. This engagement leads to...
2020 IEEE International Smart Cities Conference (ISC2), IEEE, 28 septembre 2020
The vision for smart cities is to provide a core infrastructure that enables a good quality of life for their citizens and the sustainable management of...
2020 IEEE 22nd Conference on Business Informatics (CBI), IEEE, 15 juillet 2020
Advanced competitive analysis is increasingly becoming important in business analytics. A key component of strategic research is to collect and review...
Journal of Physics: Conference Series, IOP, 2 décembre 2021, Volume : 2090, Numéro : 1
Training Deep Learning (DL) models with missing labels is a challenge in diverse engineering applications. Missing value imputation methods have been proposed...