| Hate in the machine: Anti-Black and Anti-Muslim social media posts as predictors of offline racially and religiously aggravated crime ML Williams, P Burnap, A Javed, H Liu, S Ozalp The British Journal of Criminology 60 (1), 93-117, 2020 | 340 | 2020 |
| Improving K-means clustering with enhanced Firefly Algorithms H Xie, L Zhang, CP Lim, Y Yu, C Liu, H Liu, J Walters Applied Soft Computing 84, 105763, 2019 | 192 | 2019 |
| Semi-Random Partitioning of Data into Training and Test Sets in Granular Computing Context H Liu, M Cocea Granular Computing 2 (4), 357-386, 2017 | 166 | 2017 |
| Rule Based Systems: A Granular Computing Perspective H Liu, A Gegov, M Cocea Granular Computing 1 (4), 259-274, 2016 | 130 | 2016 |
| Multiple Classifiers Fusion and CNN Feature Extraction for Handwritten Digits Recognition H Zhao, H Liu Granular Computing 5 (3), 411-418, 2020 | 127 | 2020 |
| 'The Enemy Among Us': Detecting Cyber Hate Speech with Threats Based 'Othering' Language Embeddings W Alorainy, P Burnap, H Liu, M Williams ACM Transactions on the Web, 2019 | 112* | 2019 |
| Deep Learning Based Fusion Approach for Hate Speech Detection Y Zhou, Y Yang, H Liu, X Liu, N Savage IEEE Access 8, 128923-128929, 2020 | 107 | 2020 |
| Rule Based Systems for Big Data: A Machine Learning Approach H Liu, A Gegov, M Cocea Springer, 2016 | 92 | 2016 |
| A Fuzzy Approach to Text Classification with Two-Stage Training for Ambiguous Instances H Liu, P Burnap, W Alorainy, M Williams IEEE Transactions on Computational Social Systems 6 (2), 227-240, 2019 | 91 | 2019 |
| Fuzzy Approach for Sentiment Analysis C Jefferson, H Liu, M Cocea IEEE International Conference on Fuzzy Systems, 2017 | 87 | 2017 |
| Fuzzy Rule Based Systems for Interpretable Sentiment Analysis H Liu, M Cocea International Conference on Advanced Computational Intelligence, 129-136, 2017 | 85 | 2017 |
| Antisemitism on Twitter: Collective efficacy and the role of community organisations in challenging online hate speech AS Ozalp, ML Williams, P Burnap, H Liu, M Mostafa Social Media+ Society 6 (2), 2056305120916850, 2020 | 78 | 2020 |
| A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications X Zhou, H Liu, F Pourpanah, T Zeng, X Wang Neurocomputing, 2021 | 74 | 2021 |
| Human Posture Recognition Based on Multiple Features and Rule Learning W Ding, B Hu, H Liu, X Wang, X Huang International Journal of Machine Learning and Cybernetics 11 (11), 2529-2540, 2020 | 74 | 2020 |
| Categorization and construction of rule based systems H Liu, A Gegov, F Stahl 15th international conference on engineering applications of neural networks …, 2014 | 63 | 2014 |
| Fuzzy Information Granulation towards Interpretable Sentiment Analysis H Liu, M Cocea Granular Computing 2 (4), 289-302, 2017 | 54 | 2017 |
| Handling missing data through deep convolutional neural network H Khan, X Wang, H Liu Information Sciences 595, 278-293, 2022 | 53 | 2022 |
| Fuzzy Multi-task Learning for Hate Speech Type Identification H Liu, P Burnap, W Alorainy, M Williams The Web Conference 2019, 3006-3012, 2019 | 53 | 2019 |
| Granular Computing Based Approach for Classification towards Reduction of Bias in Ensemble Learning H Liu, M Cocea Granular Computing 2 (3), 131-139, 2017 | 50 | 2017 |
| Missing Value Imputation through Shorter Interval Selection Driven by Fuzzy C-Means Clustering H Khan, X Wang, H Liu Computers & Electrical Engineering, 2021 | 46 | 2021 |
Alexander GegovUniversity of Portsmouth,UKAdresse e-mail validée de port.ac.uk