| 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 | 144 | 2020 |
| Rule Based Systems: A Granular Computing Perspective H Liu, A Gegov, M Cocea Granular Computing 1 (4), 259-274, 2016 | 111 | 2016 |
| 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 | 103 | 2017 |
| 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 | 82 | 2019 |
| Rule Based Systems for Big Data: A Machine Learning Approach H Liu, A Gegov, M Cocea Springer, 2016 | 74 | 2016 |
| '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 | 66* | 2019 |
| Multiple Classifiers Fusion and CNN Feature Extraction for Handwritten Digits Recognition H Zhao, H Liu Granular Computing 5 (3), 411-418, 2020 | 62 | 2020 |
| Fuzzy Approach for Sentiment Analysis C Jefferson, H Liu, M Cocea IEEE International Conference on Fuzzy Systems, 2017 | 59 | 2017 |
| Fuzzy Rule Based Systems for Interpretable Sentiment Analysis H Liu, M Cocea International Conference on Advanced Computational Intelligence, 129-136, 2017 | 53 | 2017 |
| Fuzzy Information Granulation towards Interpretable Sentiment Analysis H Liu, M Cocea Granular Computing 2 (4), 289-302, 2017 | 50 | 2017 |
| Granular Computing Based Approach for Classification towards Reduction of Bias in Ensemble Learning H Liu, M Cocea Granular Computing 2 (3), 131-139, 2017 | 44 | 2017 |
| 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 | 39 | 2019 |
| Fuzzy Rule-Based Systems for Recognition Intensive Classification in Granular Computing Context H Liu, L Zhang Granular Computing 3 (4), 355–365, 2018 | 39 | 2018 |
| Multi-task Learning for Intelligent Data Processing in Granular Computing Context H Liu, M Cocea, W Ding Granular Computing 3 (3), 257-273, 2018 | 31 | 2018 |
| Categorization and construction of rule based systems H Liu, A Gegov, F Stahl 15th international conference on engineering applications of neural networks …, 2014 | 27 | 2014 |
| Granular Computing Based Machine Learning: A Big Data Processing Approach H Liu, M Cocea Springer, 2018 | 26* | 2018 |
| Rule based networks: an efficient and interpretable representation of computational models H Liu, AE Gegov, M Cocea Journal of Artificial Intelligence and Soft Computing Research 7 (2), 111-123, 2017 | 26 | 2017 |
| Granular Computing Based Approach of Rule Learning for Binary Classification H Liu, M Cocea Granular Computing 4 (2), 275-283, 2019 | 25 | 2019 |
| Decision Tree Learning Based Feature Evaluation and Selection for Image Classification H Liu, M Cocea, W Ding International Conference on Machine Learning and Cybernetics, 569-574, 2017 | 25 | 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 | 24 | 2020 |
Alexander GegovUniversity of Portsmouth,UKVerified email at port.ac.uk
