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Number of items: 44.

Xie, Hailun, Zhang, Li, Lim, Chee Peng, Yu, Yonghong, Liu, Chengyu, Liu, Han and Walters, Julie 2019. Improving K-means clustering with enhanced Firefly Algorithms. Applied Soft Computing 84 , -. 10.1016/j.asoc.2019.105763
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Liu, Han and Zhang, Li 2019. Advancing ensemble learning performance through data transformation and classifiers fusion in granular computing context. Expert Systems with Applications 131 , pp. 20-29. 10.1016/j.eswa.2019.04.051
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Liu, Han and Chen, Shyi-Ming 2019. Multi-stage mixed rule learning approach for advancing performance of rule-based classification. Information Sciences 495 , pp. 65-77. 10.1016/j.ins.2019.05.008
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Williams, Matthew L., Burnap, Peter, Liu, Han, Javed, Amir and Ozalp, Abdullah 2019. Hate in the machine: Anti-black and anti-Muslim social media posts as predictors of offline racially and religiously aggravated crime. British Journal of Criminology 10.1093/bjc/azz049
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Liu, Han, Burnap, Peter, Alorainy, Wafa and Williams, Matthew L. 2019. Fuzzy multi-task learning for hate speech type identification. Presented at: The Web Conference 2019, San Francisco, CA, USA, 13-17 May 2019. WWW '19 The World Wide Web Conference. ACM, pp. 3006-3012. 10.1145/3308558.3313546
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Wang, Xinming, Ding, Weili, Liu, Han and Huang, Xiangsheng 2019. Shape recognition through multi-level fusion of features and classifiers. Granular Computing , -. 10.1007/s41066-019-00164-8
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Liu, Han, Chen, Shyi-Ming and Cocea, Mihaela 2019. Subclass-based semi-random data partitioning for improving sample representativeness. Information Sciences 478 , pp. 208-221. 10.1016/j.ins.2018.11.002
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Liu, Han, Chen, Shyi-Ming and Cocea, Mihaela 2019. Heuristic target class selection for advancing performance of coverage-based rule learning. Information Sciences 479 , pp. 164-179. 10.1016/j.ins.2018.12.001
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Liu, Han, Burnap, Peter, Alorainy, Wafa and Williams, Matthew 2019. A fuzzy approach to text classification with two stage training for ambiguous instances. IEEE Transactions on Computational Social Systems 6 (2) , pp. 227-240. 10.1109/TCSS.2019.2892037
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Liu, Han and Cocea, Mihaela 2019. Granular computing based approach of rule learning for binary classification. Granular Computing 4 (2) , pp. 275-283. 10.1007/s41066-018-0097-2
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Zhao, Huihuang and Liu, Han 2019. Multiple classifiers fusion and CNN feature extraction for handwritten digits recognition. Granular Computing 10.1007/s41066-019-00158-6
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Chiroma, Fatima, Cocea, Mihaela and Liu, Han 2019. Evaluation of rule-based learning and feature selection approaches for classification. Presented at: ICCSW18: 2018 Imperial College Computing Student Workshop, London, UK, 20-21 Sep 2018. Proceedings of ICCSW 2018. Schloss Dagstuhl - Leibniz-Zentrum für Informatik,
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Guo, Pengfei, Liu, Han, Liu, Shuangyin and Xu, Longqin 2019. Numeric prediction of dissolved oxygen status through two-stage training for classification-driven regression. Presented at: International Conference on Machine Learning and Cybernetics, Kobe, Japan, 7-10 July 2019. -.
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Zhang, Yun, Chen, Wenxiang, Liu, Han, Liu, Jinhua and Du, Hui 2019. Efficient binocular stereo matching based on SAD and improved census transformation. Presented at: International Conference on Machine Learning and Cybernetics, Kobe, Japan, 7-10 July 2019. -.
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Yuan, Ting, Li, Haihui, Zhao, Hongya, Cai, Qianhua, Liu, Han and Hu, Xiaohui 2019. Multi-channel convolutional neural network for targeted sentiment classification. Presented at: International Conference on Machine Learning and Cybernetics, Kobe, Japan, 7-10 July 2019. -.
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Liu, Han and Chen, Shyi-Ming 2019. Multi-task ensemble creation for advancing performance of image segmentation. Presented at: International Conference on Machine Learning and Cybernetics, Kobe, Japan, 7-10 July 2019. -.
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Liu, Han and Chen, Shyi-Ming 2019. Multi-perspective creation of diversity for image classification in ensemble learning context. Presented at: International Conference on Machine Learning and Cybernetics, Kobe, Japan, 7-10 July 2019. -.
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Liu, Han and Zhang, Li 2018. Fuzzy rule-based systems for recognition-intensive classification in granular computing context. Granular Computing 3 (4) , pp. 355-365. 10.1007/s41066-018-0076-7
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Mohasseb, Alaa, Bader, Mohamed, Cocea, Mihaela and Liu, Han 2018. Improving imbalanced question classification using structured smote based approach. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018), Chengdu, China, 15-18 July 2018. 2018 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, pp. 593-597. 10.1109/ICMLC.2018.8527028
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Chiroma, Fatima, Liu, Han and Cocea, Mihaela 2018. Text classification for suicide related tweets. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018), Chengdu, China, 15-18 July 2018. 2018 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, pp. 587-592. 10.1109/ICMLC.2018.8527039
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Chiroma, Fatima, Liu, Han and Cocea, Mihaela 2018. Suicide related text classification with prism algorithm. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018), Chengdu, China, 15-18 July 2018. 2018 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, pp. 575-580. 10.1109/ICMLC.2018.8527032
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Alorainy, Wafa, Burnap, Pete, Liu, Han, Javed, Amir and Williams, Matthew 2018. Suspended accounts: A source of Tweets with disgust and anger emotions for augmenting hate speech data sample. Presented at: International Conference on Machine Learning and Cybernetics, Chengdu, China, 15-18 July 2018. 2018 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, pp. 581-586. 10.1109/ICMLC.2018.8527001
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Liu, Han, Cocea, Mihaela and Ding, Weili 2018. J-measure based pruning for advancing classification performance of information entropy based rule generation. Presented at: International Conference on Machine Learning and Cybernetics, Chengdu, China, 15-18 July 2018. 2018 International Conference on Machine Learning and Cybernetics (ICMLC). Piscataway, New Jersey: IEEE, pp. 485-490. 10.1109/ICMLC.2018.8527063
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Liu, Han and Zhao, Huihuang 2018. Multi-task feature selection for advancing performance of image segmentation. Presented at: International Conference on Machine Learning and Cybernetics, Chengdu, China, 15-18 July 2018. 2018 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). Piscataway, New Jersey: IEEE, pp. 244-249. 10.1109/ICWAPR.2018.8521328
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Ding, Weili, Wang, Xinming, Liu, Han and Hu, Bo 2018. An empirical study of shape recognition in ensemble learning context. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018), Chengdu, China, 15-18 July 2018. 2018 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, pp. 256-261. 10.1109/ICWAPR.2018.8521305
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Akkuzu, Gulsum, Aziz, Benjamin and Liu, Han 2018. Feature analysis on the containment time for cyber security incidents. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018), Chengdu, China, 15-18 July 2018. 2018 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, pp. 262-269. 10.1109/ICWAPR.2018.8521252
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Zhao, Huihuang and Liu, Han 2018. Algebraic fusion of multiple classifiers for handwritten digits recognition. Presented at: International Conference on Machine Learning and Cybernetics, Chengdu, China, 15-18 July 2018. 2018 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). pp. 250-255. 10.1109/ICWAPR.2018.8521321
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Liu, Han and Chen, Shyi-Ming 2018. Multi-level fusion of classifiers through fuzzy ensemble learning. Presented at: 11th International Symposium on Computational Intelligence and Design, Hangzhou, China, 8-9 December 2018.
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Liu, Han, Cocea, Mihaela and Ding, Weili 2018. Multi-task learning for intelligent data processing in granular computing context. Granular Computing 3 (3) , pp. 257-273. 10.1007/s41066-017-0065-2
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Liu, Han and Cocea, Mihaela 2018. Nature-inspired framework of ensemble learning for collaborative classification in granular computing context. Granular Computing 10.1007/s41066-018-0122-5
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Liu, Han and Cocea, Mihaela 2018. Fuzzy rule based systems for gender classification from blog data. Presented at: 2018 International Conference on Advanced Computational Intelligence, Xiamen, China, 29-31 March 2018. 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI). IEEE, 10.1109/ICACI.2018.8377585
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Akkuzu, Gulsum, Aziz, Benjamin and Liu, Han 2018. Feature analysis on the containment time for cyber security incidents. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018), Chengdu, China, 15-18 July 2018.
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Mohasseb, Alaa, Bader, Mohamed, Cocea, Mihaela and Liu, Han 2018. Improving imbalanced question classification using structured smote based approach. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018), Chengdu, China, 15-18 July 2018.
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Chiroma, Fatima, Liu, Han and Cocea, Mihaela 2018. Suicide related text classification with prism algorithm. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018), Chengdu, China, 15-18 July 2018.
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Chiroma, Fatima, Liu, Han and Cocea, Mihaela 2018. Text classification for suicide related tweets. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018), Chengdu, China, 15-18 July 2018.
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Liu, Han and Cocea, Mihaela 2018. Induction of classification rules by Gini-Index based rule generation. Information Sciences 436-7 , pp. 227-246. 10.1016/j.ins.2018.01.025
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Alorainy, Wafa, Burnap, Peter, Liu, Han and Williams, Matthew 2018. ‘The enemy among us’: Detecting cyber hate speech with threats-based othering language embeddings. ACM Transactions on the Web 9 (4) , 39.
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Liu, Han and Cocea, Mihaela 2018. Granular computing based machine learning: a big data processing approach. Studies in Big Data, Heidelberg: Springer International Publishing. 10.1007/978-3-319-70058-8

Liu, Han, Cocea, Mihaela and Ding, Weili 2018. J-measure based pruning for advancing classification performance of information entropy based rule generation. Presented at: International Conference on Machine Learning and Cybernetics, Chengdu, China, 15-18 July 2018.
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Liu, Han and Zhao, Huihuang 2018. Multi-task feature selection for advancing performance of image segmentation. Presented at: International Conference on Machine Learning and Cybernetics, Chengdu, China, 15-18 July 2018.
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Zhao, Huihuang and Liu, Han 2018. Algebraic fusion of multiple classifiers for handwritten digits recognition. Presented at: International Conference on Machine Learning and Cybernetics, Chengdu, China, 15-18 July 2018.
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Ding, Weili, Wang, Xinming, Liu, Han and Hu, Bo 2018. An empirical study of shape recognition in ensemble learning context. Presented at: International Conference on Machine Learning and Cybernetics (ICMLC 2018), Chengdu, China, 15-18 July 2018.
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Lei, Zhenfeng, Zhang, Defu, Liu, Han, Aslam, Saba, Liu, Jinyu and Tekle, Halefom 2018. Mining of nutritional ingredients in food for disease analysis. IEEE Access 6 , pp. 52766-52778. 10.1109/ACCESS.2018.2866389
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Liu, Han and Cocea, Mihaela 2017. Semi-random partitioning of data into training and test sets in granular computing context. Granular Computing 2 (4) , pp. 357-386. 10.1007/s41066-017-0049-2
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This list was generated on Sat Dec 14 05:57:04 2019 GMT.