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2020 – today
- 2021
- [j6]Emeline Pouyet, Tsveta Miteva, Neda Rohani, Laurence de Viguerie:
Artificial Intelligence for Pigment Classification Task in the Short-Wave Infrared Range. Sensors 21(18): 6150 (2021) - 2020
- [j5]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) - [j4]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)
2010 – 2019
- 2019
- [c11]Neda Rohani, Emeline Pouyet, Marc Walton, Oliver Cossairt, Aggelos K. Katsaggelos:
Pigment Unmixing of Hyperspectral Images of Paintings Using Deep Neural Networks. ICASSP 2019: 3217-3221 - [c10]Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos:
Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD. ICASSP 2019: 3232-3236 - 2018
- [j3]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) - [j2]Neda Rohani, Pablo Ruiz, Rafael Molina, Aggelos K. Katsaggelos:
Variational Gaussian process for multisensor classification problems. Pattern Recognit. Lett. 116: 80-87 (2018) - [c9]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 - [i3]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) - 2017
- [c8]Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos K. Katsaggelos:
Deep multi-view models for glitch classification. ICASSP 2017: 2931-2935 - [c7]Xinzuo Wang, Neda Rohani, Adwaiy Manerikar, Aggelos K. Katsaggelos, Oliver Cossairt, Nabil Alshurafa:
Distinguishing Nigerian Food Items and Calorie Content with Hyperspectral Imaging. ICIAP Workshops 2017: 462-470 - [i2]Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos:
Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition. CoRR abs/1703.04757 (2017) - [i1]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) - 2016
- [c6]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 - 2015
- [c5]Neda Rohani, Pablo Ruiz, Emre Besler, Rafael Molina, Aggelos K. Katsaggelos:
Variational Gaussian process for sensor fusion. EUSIPCO 2015: 170-174 - 2013
- [c4]Neda Rohani, Mario Parente, Arun M. Saranathan:
Endmember detection using graph theory. IGARSS 2013: 1462-1465 - [c3]Neda Rohani, Mario Parente:
Graph-based identification of boundary points for unmixing and anomaly detection. WHISPERS 2013: 1-4 - 2011
- [j1]Neda Rohani, Zainab Noferesti, Javad Mohajeri, Mohammad Reza Aref:
Guess and Determine Attack on Bivium. J. Inf. Process. Syst. 7(1): 151-158 (2011) - 2010
- [c2]Zainab Noferesti, Neda Rohani, Javad Mohajeri, Mohammad Reza Aref:
Distinguishing Attack on Bivium. CIT 2010: 1075-1078 - [c1]Neda Rohani, Zainab Noferesti, Javad Mohajeri, Mohammad Reza Aref:
Guess and Determine Attack on Trivium Family. EUC 2010: 785-790
Coauthor Index
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