| 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 | 286 | 2017 |
| 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 | 69 | 2018 |
| 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 | 36 | 2019 |
| Innovative data reduction and visualization strategy for hyperspectral imaging datasets using t-SNE approach E Pouyet, N Rohani, AK Katsaggelos, O Cossairt, M Walton Pure and Applied Chemistry 90 (3), 493-506, 2018 | 36 | 2018 |
| Deep multi-view models for glitch classification S Bahaadini, N Rohani, S Coughlin, M Zevin, V Kalogera, ... 2017 ieee international conference on acoustics, speech and signal …, 2017 | 35 | 2017 |
| Nonlinear unmixing of hyperspectral datasets for the study of painted works of art N Rohani, E Pouyet, M Walton, O Cossairt, AK Katsaggelos Angewandte Chemie 130 (34), 11076-11080, 2018 | 23 | 2018 |
| Direct: Deep discriminative embedding for clustering of ligo data S Bahaadini, N Rohani, AK Katsaggelos, V Noroozi, S Coughlin, M Zevin 2018 25th ieee international conference on image processing (icip), 748-752, 2018 | 18 | 2018 |
| 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 2016 24th European signal processing conference (EUSIPCO), 2111-2115, 2016 | 17 | 2016 |
| Pigment unmixing of hyperspectral images of paintings using deep neural networks N Rohani, E Pouyet, M Walton, O Cossairt, AK Katsaggelos ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 13 | 2019 |
| 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 | 11 | 2019 |
| Guess and determine attack on Trivium family N Rohani, Z Noferesti, J Mohajeri, MR Aref 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing …, 2010 | 11 | 2010 |
| 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 | 10 | 2020 |
| Neural networks for modeling neural spiking in S1 cortex A Lucas, T Tomlinson, N Rohani, R Chowdhury, SA Solla, ... Frontiers in systems neuroscience 13, 13, 2019 | 8 | 2019 |
| 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 |
| Graph-based identification of boundary points for unmixing and anomaly detection N Rohani, M Parente 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2013 | 6 | 2013 |
| Variational gaussian process for sensor fusion N Rohani, P Ruiz, E Besler, R Molina, AK Katsaggelos 2015 23rd European Signal Processing Conference (EUSIPCO), 170-174, 2015 | 5 | 2015 |
| Distinguishing attack on bivium Z Noferesti, N Rohani, J Mohajeri, MR Aref 2010 10th IEEE International Conference on Computer and Information …, 2010 | 4 | 2010 |
| Direct estimation of weights and efficient training of deep neural networks without sgd N Dehmamy, N Rohani, AK Katsaggelos ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 3 | 2019 |
| Matrix sparsification and non-negative factorization for task partitioning in computational sensing and imaging DG Stork, N Rohani, AK Katsaggelos Computational Imaging II 10222, 128-137, 2017 | 3 | 2017 |
| Distinguishing Nigerian Food Items and Calorie Content with Hyperspectral Imaging X Wang, N Rohani, A Manerikar, A Katsagellos, O Cossairt, N Alshurafa New Trends in Image Analysis and Processing–ICIAP 2017: ICIAP International …, 2017 | 3 | 2017 |
Aggelos K KatsaggelosJoseph Cummings Professor of ECE (Courtesy CS and Radiology), Northwestern UniversityVerified email at eecs.northwestern.edu
