| Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science M Zevin, S Coughlin, S Bahaadini, E Besler, N Rohani, S Allen, M Cabero, ... Classical and Quantum Gravity 34, 064003, 2017 | 373 | 2017 |
| Audiovisual Fusion: Challenges and New Approaches AK Katsaggelos, S Bahaadini, R Molina Proceedings of the IEEE 103 (9), 1635 - 1653, 2015 | 146 | 2015 |
| Machine Learning for Gravity Spy: Glitch Classification and Dataset S Bahaadini, V Noroozi, N Rohani, S Coughlin, M Zevin, JR Smith, ... Information Sciences 444, 172-186, 2018 | 115 | 2018 |
| Deep Multi-view Models for Glitch Classification S Bahaadini, N Rohani, S Coughlin, M Zevin, V Kalogera, ... Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 | 52 | 2017 |
| Classifying the unknown: discovering novel gravitational-wave detector glitches using similarity learning S Coughlin, S Bahaadini, N Rohani, M Zevin, O Patane, M Harandi, ... Physical Review D 99 (8), 082002, 2019 | 51 | 2019 |
| Data quality up to the third observing run of advanced LIGO: Gravity Spy glitch classifications J Glanzer, S Banagiri, SB Coughlin, S Soni, M Zevin, CPL Berry, O Patane, ... Classical and Quantum Gravity 40 (6), 065004, 2023 | 41 | 2023 |
| MTLB-STRUCT@ parseme 2020: Capturing unseen multiword expressions using multi-task learning and pre-trained masked language models S Taslimipoor, S Bahaadini, E Kochmar arXiv preprint arXiv:2011.02541, 2020 | 25 | 2020 |
| DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data S Bahaadini, V Noroozi, N Rohani, S Coughlin, M Zevin, AK Katsaggelos IEEE International Conference on Image Processing (ICIP), 2018 | 23 | 2018 |
| Knowledge tracing to model learning in online citizen science projects K Crowston, C Østerlund, TK Lee, C Jackson, M Harandi, S Allen, ... IEEE Transactions on Learning Technologies 13 (1), 123-134, 2019 | 19 | 2019 |
| Semi-supervised Deep Representation Learning for Multi-View Problems V Noroozi, S Bahaadini, L Zheng, S Xie, W Shao, PS Yu IEEE International Conference on Big Data (BigData 2018), 2018 | 19 | 2018 |
| SEVEN: Deep Semi-supervised Verification Networks V Noroozi, L Zheng, S Bahaadini, S Xie, PS Yu International Joint Conference on Artificial Intelligence (IJCAI), 2017 | 19 | 2017 |
| Automatic Pigment Identification on Roman Egyptian Paintings by using Sparse Modeling of Hyperspectral Images N Rohani, J Salvant, S Bahaadini, O Cossairt, M Walton, A Katsaggelos European Signal Processing Conference (EUSIPCO), 2016 | 18 | 2016 |
| Teaching citizen scientists to categorize glitches using machine learning guided training C Jackson, C Østerlund, K Crowston, M Harandi, S Allen, S Bahaadini, ... Computers in Human Behavior 105, 106198, 2020 | 16 | 2020 |
| Leveraging semi-supervised learning for fairness using neural networks V Noroozi, S Bahaadini, S Sheikhi, N Mojab, SY Philip 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 16 | 2019 |
| DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors S Amini, V Noroozi, S Bahaadini, PS Yu, C Kanich IEEE International Conference on Big Data (BigData 2018), 2018 | 10 | 2018 |
| Posterior-based Sparse Representation for Automatic Speech Recognition S Bahaadini, A Asaei, D Imseng, H Bourlard Proceeding of Interspeech, 2014 | 8 | 2014 |
| Implementation and Evaluation of Statistical Parametric Speech Synthesis Methods for the Persian Language S Bahaadini, H Sameti, S Khorram International Workshop on Machine Learning for Signal Processing (MLSP), 2011 | 8 | 2011 |
| C sterlund, JR Smith, L Trouille, and V Kalogera. Gravity spy: integrating advanced ligo detector characterization, machine learning, and citizen science M Zevin, S Coughlin, S Bahaadini, E Besler, N Rohani, S Allen, M Cabero, ... Classical and Quantum Gravity 34 (6), 064003, 2017 | 7 | 2017 |
| Gravity Spy machine learning classifications of LIGO glitches from observing runs O1, O2, O3a, and O3b S Coughlin, M Zevin, S Bahaadini, N Rohani, S Allen, C Berry, ... Zenodo, 2021 | 5 | 2021 |
| Virtual adversarial training for semi-supervised verification tasks V Noroozi, S Bahaadini, L Zheng, S Xie, SY Philip 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 5 | 2019 |
Aggelos K KatsaggelosJoseph Cummings Professor of ECE (Courtesy CS and Radiology), Northwestern UniversityVerificeret mail på eecs.northwestern.edu
