| Sentiment analysis over social networks: an overview K Ahmed, N El Tazi, AH Hossny 2015 IEEE international conference on systems, man, and cybernetics, 2174-2179, 2015 | 83 | 2015 |
| Recognising user identity in twitter social networks via text mining S Keretna, A Hossny, D Creighton 2013 IEEE International Conference on Systems, Man, and Cybernetics, 3079-3082, 2013 | 56 | 2013 |
| Cyclist detection in lidar scans using faster r-cnn and synthetic depth images K Saleh, M Hossny, A Hossny, S Nahavandi 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 49 | 2017 |
| Event detection in Twitter: A keyword volume approach AH Hossny, L Mitchell 2018 IEEE international conference on data mining workshops (ICDMW), 1200-1208, 2018 | 38 | 2018 |
| Feature selection methods for event detection in Twitter: a text mining approach AH Hossny, L Mitchell, N Lothian, G Osborne Social Network Analysis and Mining 10, 1-15, 2020 | 28 | 2020 |
| Detecting explosives by PGNAA using KNN Regressors and decision tree classifier: A proof of concept K Hossny, S Magdi, AY Soliman, AH Hossny Progress in Nuclear Energy 124, 103332, 2020 | 22 | 2020 |
| Detecting shielded explosives by coupling prompt gamma neutron activation analysis and deep neural networks K Hossny, AH Hossny, S Magdi, AY Soliman, M Hossny Scientific reports 10 (1), 13467, 2020 | 20 | 2020 |
| A question routing technique using deep neural network for communities of question answering A Azzam, N Tazi, A Hossny International Conference on Database Systems for Advanced Applications, 35-49, 2017 | 14 | 2017 |
| Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study AH Hossny, T Moschou, G Osborne, L Mitchell, N Lothian Social Network Analysis and Mining, 2018 | 13 | 2018 |
| Text-based question routing for question answering communities via deep learning A Azzam, N Tazi, A Hossny Proceedings of the Symposium on Applied Computing, 1674-1678, 2017 | 12 | 2017 |
| Machine translation model using inductive logic programming A Hossny, K Shaalan, A Fahmy Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009 …, 2009 | 9 | 2009 |
| Automatic morphological rule induction for Arabic A Hossny, K Shaalan, A Fahmy Proceedings of the Workshop on Human Language Translation and Natural …, 2008 | 8 | 2008 |
| Automatic rule induction in Arabic to English machine translation framework K Shaalan, AH Hossny Challenges for Arabic Machine Translation 9 (2012), 135, 2012 | 5 | 2012 |
| Reducing the impact of bounded parametric uncertainty on Hodgson's scheduling algorithm using interval programming AH Hossny, D Creighton, S Nahavandi IEEE Systems Journal 11 (4), 1983-1993, 2015 | 3 | 2015 |
| Visualizing demographics based on micro-blogger tracking: Twitter case study K Ahmed, N El Tazi, A Hossny 2014 24th International Conference on Computer Theory and Applications …, 2014 | 2 | 2014 |
| Minimizing impact of bounded uncertainty on McNaughton's scheduling algorithm via interval programming A Hossny, S Nahavandi, D Creighton 2013 IEEE International Conference on Systems, Man, and Cybernetics, 970-976, 2013 | 2 | 2013 |
| Minimizing bounded uncertainty impact on scheduling with earliest start and due-date constraints via interval computation A Hossny, S Nahavandi, D Creighton Proceedings of 2012 IEEE 17th International Conference on Emerging …, 2012 | 1 | 2012 |
| Extending scheduling algorithms to minimise the impact of bounded uncertainty using interval programming A Hossny Deakin University, 2014 | | 2014 |
| Basis for large scale machine translation system AHM Hossny Cairo University, 2010 | | 2010 |
| TV educational program unit generation M Hossny, A Hossny, M Hossny 2008 International Conference on Computer Science and Software Engineering 5 …, 2008 | | 2008 |
Doug CreightonDeakin University在 deakin.edu.au 的电子邮件经过验证
