Neda Rohani

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 14

Top Topics

Scene Reconstruction

Hyperspectral Images

Gaussian Process

Top Venues

Publications

Emeline Pouyet, Tsveta Miteva, Neda Rohani, Laurence de Viguerie
Artificial Intelligence for Pigment Classification Task in the Short-Wave Infrared Range. Sensors 21 (18) (2021)
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) (2020)
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 (2020)
Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos
Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD. ICASSP (2019)
Neda Rohani, Emeline Pouyet, Marc Walton, Oliver Cossairt, Aggelos K. Katsaggelos
Pigment Unmixing of Hyperspectral Images of Paintings Using Deep Neural Networks. ICASSP (2019)
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 (2018)
Sara Bahaadini, Vahid Noroozi, Neda Rohani, Scott Coughlin, Michael Zevin, Aggelos K. Katsaggelos
DIRECT: Deep Discriminative Embedding for Clustering of LIGO Data. CoRR (2018)
Sara Bahaadini, Neda Rohani, Aggelos K. Katsaggelos, Vahid Noroozi, Scott Coughlin, Michael Zevin
Direct: Deep Discriminative Embedding for Clustering of Ligo Data. ICIP (2018)
Neda Rohani, Pablo Ruiz, Rafael Molina, Aggelos K. Katsaggelos
Variational Gaussian process for multisensor classification problems. Pattern Recognit. Lett. 116 (2018)
Nima Dehmamy, Neda Rohani, Aggelos K. Katsaggelos
Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition. CoRR (2017)
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)
Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos K. Katsaggelos
Deep multi-view models for glitch classification. ICASSP (2017)
Sara Bahaadini, Neda Rohani, Scott Coughlin, Michael Zevin, Vicky Kalogera, Aggelos K. Katsaggelos
Deep Multi-view Models for Glitch Classification. CoRR (2017)
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)
Neda Rohani, Pablo Ruiz, Emre Besler, Rafael Molina, Aggelos K. Katsaggelos
Variational Gaussian process for sensor fusion. EUSIPCO (2015)
Neda Rohani, Mario Parente, Arun M. Saranathan
Endmember detection using graph theory. IGARSS (2013)
Neda Rohani, Mario Parente
Graph-based identification of boundary points for unmixing and anomaly detection. WHISPERS (2013)
Neda Rohani, Zainab Noferesti, Javad Mohajeri, Mohammad Reza Aref
Guess and Determine Attack on Bivium. J. Inf. Process. Syst. 7 (1) (2011)
Zainab Noferesti, Neda Rohani, Javad Mohajeri, Mohammad Reza Aref
Distinguishing Attack on Bivium. CIT (2010)
Neda Rohani, Zainab Noferesti, Javad Mohajeri, Mohammad Reza Aref
Guess and Determine Attack on Trivium Family. EUC (2010)