Welcome to my website! My name is Elaheh Raisi and I am currently a postdoctoral researcher at Michigan State University working with professor Parisa Kordjamshidi. Before that, I was a postdoctoral researcher at Brown University working with professor Stephen Bach. I received my Ph.D. degree in May 2019 under the supervision of professor Bert Huang.
My research interests span a wide variety of subfields of machine learning: learning with weak supervision, structured prediction, deep learning, NLP, computer vision, computational social science, Fairness and Explainability in ML, etc.
You can reach me by: raisiela[at]msu.edu, elaheh_raisi[at]brown.edu, elaheh[at]vt.edu
Elaheh Raisi and Stephen Bach, “Selecting Auxiliary Data Using Knowledge Graphs for Image Classification with Limited Labels,” Visual Learning with Limited Labels (VL3) at CVPR, 2020.
Michael Ridenhour, Arunkumar Bagavathi, Elaheh Raisi and Siddharth Krishnan, “Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models,"SBP-BRiMS, 2020.
Elaheh Raisi and Bert Huang, “Reduced-Bias Co-Trained Ensembles for Weakly Supervised Cyberbullying Detection,” Computational Data and Social Networks (CSoNet), 2019. Best paper runner up
Elaheh Raisi and Bert Huang, “Weakly Supervised Cyberbullying Detection using Co-trained Ensembles of Embedding Models,” Advances in Social Networks Analysis and Mining (ASONAM), 2018.
Elaheh Raisi and Bert Huang, “Weakly supervised cyberbullying detection with participant-vocabulary consistency,” Social Networks Analysis and Mining (SNAM), 2018
Bert Huang and Elaheh Raisi, “Weak Supervision and Machine Learning for Online Harassment Detection,” In J. Golbeck, Online Harassment, (1st ed), Springer International Publishing, 2018.
Elaheh Raisi , Leana Ireland, Bert Huang, James Hawdon, Anthony Peguero, “Establishing a Virtual Social Laboratory for Investigating Cyberviolence,” Southern Sociological Society Annual Meeting, 2018.
Elaheh Raisi and Bert Huang, “Co-trained Ensemble Models for Weakly Supervised Cyberbullying Detection,” Learning with Limited Labeled data (LLD) workshop at NIPS, 2017. Best paper award
Elaheh Raisi and Bert Huang, “A Weakly Supervised Deep Model for Cyberbullying Detection,” Women in Machine Learning (WiML) workshop at NIPS, 2017.
Elaheh Raisi and Bert Huang, “Cyberbullying Detection with Weakly Supervised Machine Learning,” Advances in Social Networks Analysis and Mining (ASONAM), 2017. Best paper award
Elaheh Raisi and Bert Huang, “Cyberbullying Identification Using Participant-Vocabulary Consistency,” Workshop on Machine Learning in Social Good Applications, ICML, 2016.
Amir Khosravani-Rad, Ramin Ayanzadeh, and Elaheh Raisi, “Dynamic Parameters Optimization for Enhancing Performance and Stability of PSO,” Trends in Applied Science Research.
Alireza Jaberi, Ramin Ayanzadeh, Elaheh Raisi, and Aidin Sadighi, “Central Limit Theorem Based Cellular Automata for Generating Normal Random Numbers,” Information Technology Journal.
Ali Asghar Gholami, Ramin Ayanzadeh, and Elaheh Raisi , “Fuzzy Honey Bees Foraging Optimization: Swarm Intelligence Approach for Clustering,” Journal of Artificial Intelligence.
Hamid Abrishami Moghaddam and Elaheh Raisi “Incremental Nonparametric Weighted Feature Extraction for Online Subspace Pattern,” 7th Iranian Conference on Machine Vision and Image Processing (MVIP), 2011 (in Persian).