| EACD: evolutionary adaptation to concept drifts in data streams H Ghomeshi, MM Gaber, Y Kovalchuk Data Mining and Knowledge Discovery 33, 663-694, 2019 | 40 | 2019 |
| A non-canonical hybrid metaheuristic approach to adaptive data stream classification H Ghomeshi, MM Gaber, Y Kovalchuk Future Generation Computer Systems 102, 127-139, 2020 | 26 | 2020 |
| A review of natural language processing in contact centre automation S Shah, H Ghomeshi, E Vakaj, E Cooper, S Fouad Pattern Analysis and Applications 26 (3), 823-846, 2023 | 12 | 2023 |
| An ensemble-learning-based technique for bimodal sentiment analysis S Shah, H Ghomeshi, E Vakaj, E Cooper, R Mohammad Big Data and Cognitive Computing 7 (2), 85, 2023 | 11 | 2023 |
| Ensemble dynamics in non-stationary data stream classification H Ghomeshi, MM Gaber, Y Kovalchuk Learning from Data Streams in Evolving Environments: Methods and …, 2019 | 10 | 2019 |
| RED-GENE: An evolutionary game theoretic approach to adaptive data stream classification H Ghomeshi, MM Gaber, Y Kovalchuk IEEE Access 7, 173944-173954, 2019 | 7 | 2019 |
| AdaDeepStream: streaming adaptation to concept evolution in deep neural networks L Chambers, MM Gaber, H Ghomeshi Applied Intelligence 53 (22), 27323-27343, 2023 | 3 | 2023 |
| Deepstreamensemble: streaming adaptation to concept drift in deep neural networks L Chambers, MM Gaber, H Ghomeshi International Journal of Machine Learning and Cybernetics, 1-22, 2025 | | 2025 |
| Semantic Natural Language Processing for Knowledge Graphs Creation C De Sa, E Vakaj, H Ghomeshi, R McGranaghan Semantic AI in Knowledge Graphs, 45-90, 2023 | | 2023 |
| Hybrid Metaheuristic Methods for Ensemble Classification in Non-stationary Data Streams H Ghomeshi Birmingham City University, 2020 | | 2020 |
Mohamed Medhat GaberProfessor in Data Analytics, Birmingham City University在 bcu.ac.uk 的电子邮件经过验证
