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Journal Articles
- 2020
[j4]Corey Brian Jackson
, Carsten S. Østerlund, Kevin Crowston, Mahboobeh Harandi, Sarah Allen, Sara Bahaadini, Scotty Coughlin, Vicky Kalogera, Aggelos K. Katsaggelos, Shane L. Larson, Neda Rohani, Joshua R. Smith, Laura Trouille, Michael Zevin:
Teaching citizen scientists to categorize glitches using machine learning guided training. Comput. Hum. Behav. 105: 106198 (2020)- [j3]Kevin Crowston, Shane L. Larson, Neda Rohani, Joshua R. Smith, Laura Trouille, Michael Zevin, Carsten S. Østerlund, Tae Kyoung Lee, Corey Brian Jackson, Mahboobeh Harandi, Sarah Allen, Sara Bahaadini, Scott Coughlin, Aggelos K. Katsaggelos:
Knowledge Tracing to Model Learning in Online Citizen Science Projects. IEEE Trans. Learn. Technol. 13(1): 123-134 (2020) - 2018
- [j2]Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Joshua R. Smith, Vicky Kalogera, Aggelos K. Katsaggelos:
Machine learning for Gravity Spy: Glitch classification and dataset. Inf. Sci. 444: 172-186 (2018) - 2015
- [j1]Aggelos K. Katsaggelos, Sara Bahaadini, Rafael Molina:
Audiovisual Fusion: Challenges and New Approaches. Proc. IEEE 103(9): 1635-1653 (2015)
Conference and Workshop Papers
- 2020
- [c12]Shiva Taslimipoor, Sara Bahaadini, Ekaterina Kochmar:
MTLB-STRUCT @Parseme 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models. MWE-LEX 2020: 142-148 - 2019
- [c11]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Philip S. Yu:
Virtual Adversarial Training for Semi-supervised Verification Tasks. EUSIPCO 2019: 1-5 - [c10]Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu:
Leveraging Semi-Supervised Learning for Fairness using Neural Networks. ICMLA 2019: 50-55 - 2018
- [c9]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu:
Semi-supervised Deep Representation Learning for Multi-View Problems. IEEE BigData 2018: 56-64 - [c8]Sara Amini, Vahid Noroozi, Sara Bahaadini, Philip S. Yu, Chris Kanich:
DeepFP: A Deep Learning Framework For User Fingerprinting via Mobile Motion Sensors. IEEE BigData 2018: 84-91 - [c7]Sara Bahaadini, Neda Rohani, Aggelos K. Katsaggelos, Vahid Noroozi, Scott Coughlin, Michael Zevin:
Direct: Deep Discriminative Embedding for Clustering of Ligo Data. ICIP 2018: 748-752 - 2017
- [c6]Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos K. Katsaggelos:
Deep multi-view models for glitch classification. ICASSP 2017: 2931-2935 - [c5]Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu:
SEVEN: Deep Semi-supervised Verification Networks. IJCAI 2017: 2571-2577 - 2016
- [c4]Neda Rohani, Johanna Salvant, Sara Bahaadini, Oliver Cossairt, Marc Walton, Aggelos K. Katsaggelos:
Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images. EUSIPCO 2016: 2111-2115 - 2014
- [c3]Sara Bahaadini, Afsaneh Asaei, David Imseng, Hervé Bourlard:
Posterior-based sparse representation for automatic speech recognition. INTERSPEECH 2014: 2454-2458 - 2012
- [c2]Mohammad Amin Tajgardoon, Fattaneh Jabbari, Hossein Sameti, Sara Bahaadini:
Active learning of EHVS parser for Persian language understanding. IST 2012: 827-832 - 2011
- [c1]Sara Bahaadini, Hossein Sameti, Soheil Khorram:
Implementation and evaluation of statistical parametric speech synthesis methods for the Persian language. MLSP 2011: 1-6
Informal and Other Publications
- 2020
- [i6]Shiva Taslimipoor, Sara Bahaadini, Ekaterina Kochmar:
MTLB-STRUCT @PARSEME 2020: Capturing Unseen Multiword Expressions Using Multi-task Learning and Pre-trained Masked Language Models. CoRR abs/2011.02541 (2020) - 2019
- [i5]Vahid Noroozi, Sara Bahaadini, Samira Sheikhi, Nooshin Mojab, Philip S. Yu:
Leveraging Semi-Supervised Learning for Fairness using Neural Networks. CoRR abs/1912.13230 (2019) - 2018
- [i4]Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Aggelos K. Katsaggelos:
DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data. CoRR abs/1805.02296 (2018) - [i3]Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu:
Semi-supervised Deep Representation Learning for Multi-View Problems. CoRR abs/1811.04480 (2018) - 2017
- [i2]Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos K. Katsaggelos:
Deep Multi-view Models for Glitch Classification. CoRR abs/1705.00034 (2017) - [i1]Vahid Noroozi, Lei Zheng, Sara Bahaadini, Sihong Xie, Philip S. Yu:
SEVEN: Deep Semi-supervised Verification Networks. CoRR abs/1706.03692 (2017)
Coauthor Index
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