Eyad Kannout
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
5
Venues
2
Active years
2020–2024
Best venue rank
C
Where they publish
Papers
5 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | FedCSIS | Forecasting Stock Trends with Feedforward Neural Networks. | Marcin Traskowski, Eyad Kannout |
| 2022 | ACIIDS | Speeding Up Recommender Systems Using Association Rules. | Eyad Kannout, Hung Son Nguyen, Marek Grzegorowski |
| 2022 | FedCSIS | Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems. | Eyad Kannout, Michal Grodzki, Marek Grzegorowski |
| 2022 | FedCSIS | Considering various aspects of models' quality in the ML pipeline - application in the logistics sector. | Eyad Kannout, Michal Grodzki, Marek Grzegorowski |
| 2020 | FedCSIS | Context Clustering-based Recommender Systems. | Eyad Kannout |