Neda Rohani

发表

Direct Estimation of Weights and Efficient Training of Deep Neural Networks without SGD

Aggelos K. Katsaggelos, Nima Dehmamy, Neda Rohani, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Teaching citizen scientists to categorize glitches using machine learning guided training

Aggelos K. Katsaggelos, Carsten S. Østerlund, Kevin Crowston, 2020, Comput. Hum. Behav..

Variational Gaussian process for multisensor classification problems

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2018, Pattern Recognit. Lett..

Variational Gaussian process for sensor fusion

Aggelos K. Katsaggelos, Pablo Ruiz, Rafael Molina, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Deriving optimal weights in deep neural networks

Aggelos K. Katsaggelos, Nima Dehmamy, Neda Rohani, 2017 .

Endmember detection using graph theory

Mario Parente, Arun M. Saranathan, Neda Rohani, 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

Machine Learning for Multi-Sensory Data

Neda Rohani, 2018 .

Guess and Determine Attack on Trivium Family

Mohammad Reza Aref, Javad Mohajeri, Neda Rohani, 2010, 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing.

Neural Networks for Modeling Neural Spiking in S1 Cortex

Aggelos K. Katsaggelos, Lee E. Miller, Sara A. Solla, 2019, Front. Syst. Neurosci..

Machine learning for Gravity Spy: Glitch classification and dataset

Aggelos K. Katsaggelos, J. R. Smith, Vahid Noroozi, 2018, Inf. Sci..

Nonlinear Unmixing of Hyperspectral Datasets for the Study of Painted Works of Art.

Emeline Pouyet, Oliver Cossairt, Marc Walton, 2018, Angewandte Chemie.

Matrix sparsification and non-negative factorization for task partitioning in computational sensing and imaging

Aggelos K. Katsaggelos, David G. Stork, Neda Rohani, 2017, Commercial + Scientific Sensing and Imaging.

Direct: Deep Discriminative Embedding for Clustering of Ligo Data

Aggelos K. Katsaggelos, Vahid Noroozi, Neda Rohani, 2018, 2018 25th IEEE International Conference on Image Processing (ICIP).

Graph-based identification of boundary points for unmixing and anomaly detection

Mario Parente, Neda Rohani, N. Rohani, 2013, 2013 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS).

Convergence of Deep Neural Networks to a Hierarchical Covariance Matrix Decomposition pdf

Aggelos K. Katsaggelos, Nima Dehmamy, Neda Rohani, 2017, ArXiv.

Separation of time scales and direct computation of weights in deep neural networks

Nima Dehmamy, Neda Rohani, Aggelos Katsaggelos, 2017 .

Deep multi-view models for glitch classification

Aggelos K. Katsaggelos, Neda Rohani, Vicky Kalogera, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Endmember Detection in CRISM Images Using Graphs

Neda Rohani, Mario Parente, 2013 .

Guess and Determine Attack on Bivium

Mohammad Reza Aref, Javad Mohajeri, Neda Rohani, 2011, J. Inf. Process. Syst..

Pigment Unmixing of Hyperspectral Images of Paintings Using Deep Neural Networks

Aggelos K. Katsaggelos, Oliver Cossairt, Emeline Pouyet, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Hierarchical abstraction of information in Deep Neural Networks

Aggelos K. Katsaggelos, Nima Dehmamy, Neda Rohani, 2017 .

Distinguishing Attack on Bivium

Mohammad Reza Aref, Javad Mohajeri, Neda Rohani, 2010, 2010 10th IEEE International Conference on Computer and Information Technology.

Automatic pigment identification on roman Egyptian paintings by using sparse modeling of hyperspectral images

Aggelos K. Katsaggelos, Oliver Cossairt, Marc Walton, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Knowledge Tracing to Model Learning in Online Citizen Science Projects

Aggelos K. Katsaggelos, Carsten S. Østerlund, Kevin Crowston, 2020, IEEE Transactions on Learning Technologies.

Distinguishing Nigerian Food Items and Calorie Content with Hyperspectral Imaging

Nabil Alshurafa, Oliver Cossairt, Neda Rohani, 2017, ICIAP Workshops.

Artificial Intelligence for Pigment Classification Task in the Short-Wave Infrared Range

Emeline Pouyet, Tsveta Miteva, Neda Rohani, 2021, Sensors.

Innovative data reduction and visualization strategy for hyperspectral imaging datasets using t-SNE approach

Aggelos K. Katsaggelos, Emeline Pouyet, Marc Walton, 2018 .