| Cyberbullying detection with weakly supervised machine learning E Raisi, B Huang Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 102 | 2017 |
| Cyberbullying identification using participant-vocabulary consistency E Raisi, B Huang arXiv preprint arXiv:1606.08084, 2016 | 100 | 2016 |
| Weakly supervised cyberbullying detection using co-trained ensembles of embedding models E Raisi, B Huang 2018 IEEE/ACM international conference on advances in social networks …, 2018 | 53 | 2018 |
| Weakly supervised cyberbullying detection with participant-vocabulary consistency E Raisi, B Huang Social Network Analysis and Mining 8 (1), 38, 2018 | 31 | 2018 |
| Detecting online hate speech: Approaches using weak supervision and network embedding models M Ridenhour, A Bagavathi, E Raisi, S Krishnan Social, Cultural, and Behavioral Modeling: 13th International Conference …, 2020 | 19 | 2020 |
| Domiknows: A library for integration of symbolic domain knowledge in deep learning HR Faghihi, Q Guo, A Uszok, A Nafar, E Raisi, P Kordjamshidi arXiv preprint arXiv:2108.12370, 2021 | 17 | 2021 |
| Weakly Supervised Machine Learning for Cyberbullying Detection E Raisi Virginia Tech, 2019 | 9 | 2019 |
| Reduced-bias co-trained ensembles for weakly supervised cyberbullying detection E Raisi, B Huang Computational Data and Social Networks: 8th International Conference, CSoNet …, 2019 | 9 | 2019 |
| Co-trained ensemble models for weakly supervised cyberbullying detection E Raisi, B Huang NIPS workshop on learning with limited labeled data, 2017 | 8 | 2017 |
| Cyberbullying Identification Using Participant-Vocabulary Consistency.(6 2016) E Raisi, B Huang arXiv preprint arXiv:1606.08084 44, 2016 | 6 | 2016 |
| Weak Supervision and Machine Learning for Online Harassment Detection B Huang, E Raisi Online Harassment, 5-28, 2018 | 4 | 2018 |
| Fuzzy honey bees foraging optimization: swarm intelligence approach for clustering AA Gholami, R Ayanzadeh, E Raisi Journal of Artificial Intelligence 7 (1), 13, 2014 | 4 | 2014 |
| Central limit theorem based cellular automata for generating normal random numbers A Jaberi, R Ayanzadeh, E Raisi, A Sadighi Information Technology Journal 12 (12), 2440, 2013 | 4 | 2013 |
| Dynamic parameters optimization for enhancing performance and stability of PSO A Khosravani-Rad, R Ayanzadeh, E Raisi Trends in Applied Sciences Research 9 (5), 238, 2014 | 3 | 2014 |
| TAGLETS: A system for automatic semi-supervised learning with auxiliary data W Piriyakulkij, C Menghini, R Briden, NV Nayak, J Zhu, E Raisi, S Bach Proceedings of Machine Learning and Systems 4, 580-600, 2022 | 1 | 2022 |
| Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited Labels E Raisi, SH Bach | 1 | 2020 |
| Incremental Nonparametric Weighted Feature Extraction for OnlineSubspace Pattern Classification HA Moghaddam, E Raisi arXiv preprint arXiv:1610.08133, 2016 | | 2016 |
| International Workshop on Cybersafety Organization S Mishra, J Blackburn, H Hosseinmardi, Q Lv, A Edwards, J Golbeck, ... | | |
| IEEE/ACM ASONAM 2020 ASONAM 2020 Program Committee M Atzmüller, M Coscia, R Missaoui, A Mueen, D Andrea Tagarelli, ... | | |
Bert HuangAssistant Professor, Tufts University Department of Computer ScienceVerified email at vt.edu
