Distinguishing Attack on Bivium. - Zainab Noferesti; Neda Rohani; Javad Mohajeri; Mohammad Reza Aref (CIT, 2010)

Guess and Determine Attack on Trivium Family. - Neda Rohani; Zainab Noferesti; Javad Mohajeri; Mohammad Reza Aref (EUC, 2010)

Guess and Determine Attack on Bivium. - Neda Rohani; Zainab Noferesti; Javad Mohajeri; Mohammad Reza Aref (J. Inf. Process. Syst., 2011)

Endmember detection using graph theory. - Neda Rohani; Mario Parente; Arun M. Saranathan (IGARSS, 2013)

Graph-based identification of boundary points for unmixing and anomaly detection. - Neda Rohani; Mario Parente (WHISPERS, 2013)

Variational Gaussian process for sensor fusion. - Neda Rohani; Pablo Ruiz 002; Emre Besler; Rafael Molina 001; Aggelos K. Katsaggelos (EUSIPCO, 2015)

Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images. - Neda Rohani; Johanna Salvant; Sara Bahaadini; Oliver Cossairt; Marc Walton; Aggelos K. Katsaggelos (EUSIPCO, 2016)

Deep multi-view models for glitch classification. - Sara Bahaadini; Neda Rohani; Scott Coughlin; Michael Zevin; Vicky Kalogera; Aggelos K. Katsaggelos (ICASSP, 2017)

Distinguishing Nigerian Food Items and Calorie Content with Hyperspectral Imaging. - Xinzuo Wang; Neda Rohani; Adwaiy Manerikar; Aggelos K. Katsaggelos; Oliver Cossairt; Nabil Alshurafa (ICIAP Workshops, 2017)

Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition. - Nima Dehmamy; Neda Rohani; Aggelos K. Katsaggelos (CoRR, 2017)

Direct: Deep Discriminative Embedding for Clustering of Ligo Data. - Sara Bahaadini; Neda Rohani; Aggelos K. Katsaggelos; Vahid Noroozi; Scott Coughlin; Michael Zevin (ICIP, 2018)

Machine learning for Gravity Spy: Glitch classification and dataset. - Sara Bahaadini; Vahid Noroozi; Neda Rohani; Scott Coughlin; Michael Zevin; Joshua R. Smith 003; Vicky Kalogera; Aggelos K. Katsaggelos (Inf. Sci., 2018)

Variational Gaussian process for multisensor classification problems. - Neda Rohani; Pablo Ruiz 002; Rafael Molina 001; Aggelos K. Katsaggelos (Pattern Recognit. Lett., 2018)

Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD. - Nima Dehmamy; Neda Rohani; Aggelos K. Katsaggelos (ICASSP, 2019)

Pigment Unmixing of Hyperspectral Images of Paintings Using Deep Neural Networks. - Neda Rohani; Emeline Pouyet; Marc Walton; Oliver Cossairt; Aggelos K. Katsaggelos (ICASSP, 2019)

Teaching citizen scientists to categorize glitches using machine learning guided training. - 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 003; et al. (Comput. Hum. Behav., 2020)

Knowledge Tracing to Model Learning in Online Citizen Science Projects. - Kevin Crowston; Shane L. Larson; Neda Rohani; Joshua R. Smith 003; Laura Trouille; Michael Zevin; Carsten S. Østerlund; Tae Kyoung Lee; Corey Brian Jackson; Mahboobeh Harandi; Sarah Allen; Sara Bahaadini; et al. (IEEE Trans. Learn. Technol., 2020)

Artificial Intelligence for Pigment Classification Task in the Short-Wave Infrared Range. - Emeline Pouyet; Tsveta Miteva; Neda Rohani; Laurence de Viguerie (Sensors, 2021)