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ORCIDRabab K. Ward
Rabab Kreidieh Ward – Rabab Ward
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- affiliation: University of British Columbia, Vancouver, Canada
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2020 – today
- 2022
[j144]Mohsen Gholami, Ahmad Rezaei, Helge Rhodin, Rabab Ward, Z. Jane Wang:
Self-supervised 3D human pose estimation from video. Neurocomputing 488: 97-106 (2022)- [c194]Peizhi Yan
, James Gregson, Qiang Tang, Rabab Ward, Zhan Xu, Shan Du:
NEO-3DF: Novel Editing-Oriented 3D Face Creation and Reconstruction. ACCV (1) 2022: 72-88 - [c193]Mohsen Gholami, Bastian Wandt, Helge Rhodin, Rabab Ward, Z. Jane Wang:
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation. CVPR 2022: 13065-13075 - [i20]Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward:
Multi-modal Streaming 3D Object Detection. CoRR abs/2209.04966 (2022) - 2021
- [j143]Yu Liu, Xun Chen, Aiping Liu, Rabab K. Ward, Zhen Jane Wang:
Recent Advances in Sparse Representation Based Medical Image Fusion. IEEE Instrum. Meas. Mag. 24(2): 45-53 (2021) - [j142]Sima Valizadeh, Panos Nasiopoulos, Rabab Ward:
Improving compression efficiency of HEVC using perceptual coding. Multim. Tools Appl. 80(7): 10235-10254 (2021) - [j141]Ramy Hussein, Soojin Lee, Rabab Ward, Martin J. McKeown:
Semi-dilated convolutional neural networks for epileptic seizure prediction. Neural Networks 139: 212-222 (2021) - [j140]Yongwei Wang, Xin Ding, Yixin Yang, Li Ding, Rabab Ward, Z. Jane Wang:
Perception matters: Exploring imperceptible and transferable anti-forensics for GAN-generated fake face imagery detection. Pattern Recognit. Lett. 146: 15-22 (2021) - [j139]Qunfeng Tang, Zhencheng Chen, Carlo Menon, Rabab Ward, Mohamed Elgendi:
PPGTempStitch: A MATLAB Toolbox for Augmenting Annotated Photoplethsmogram Signals. Sensors 21(12): 4007 (2021) - [j138]A. Malik Nasser Aljalai, Chen Feng, Victor C. M. Leung, Rabab K. Ward:
Dual Pilot Scheme (DPS) and Its Application in Massive MIMO. IEEE Trans. Commun. 69(3): 1431-1444 (2021) - [j137]Jianzhe Lin, Tianze Yu, Lichao Mou, Xiaoxiang Zhu, Rabab Kreidieh Ward, Z. Jane Wang:
Unifying Top-Down Views by Task-Specific Domain Adaptation. IEEE Trans. Geosci. Remote. Sens. 59(6): 4689-4702 (2021) - [j136]Dan Wang, Xinrui Cui, Xun Chen, Rabab Ward, Z. Jane Wang:
Interpreting Bottom-Up Decision-Making of CNNs via Hierarchical Inference. IEEE Trans. Image Process. 30: 6701-6714 (2021) - [c192]Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu Salcudean, Z. Jane Wang, Rabab Ward:
Multi-view 3D Reconstruction with Transformers. ICCV 2021: 5702-5711 - [c191]Davood Karimi, Rabab Ward:
Interpolation of CT Projections by Exploiting Their Self-Similarity and Smoothness. ICIP 2021: 165-169 - [c190]Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward:
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3d Object Detection Models. ICIP 2021: 3592-3596 - [c189]Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward:
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection. IROS 2021: 2189-2194 - [i19]Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward:
Towards Universal Physical Attacks On Cascaded Camera-Lidar 3D Object Detection Models. CoRR abs/2101.10747 (2021) - [i18]Davood Karimi, Rabab K. Ward:
Interpolation of CT Projections by Exploiting Their Self-Similarity and Smoothness. CoRR abs/2103.03968 (2021) - [i17]Mazen Abdelfattah, Kaiwen Yuan, Z. Jane Wang, Rabab Ward:
Adversarial Attacks on Camera-LiDAR Models for 3D Car Detection. CoRR abs/2103.09448 (2021) - [i16]Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu Salcudean, Z. Jane Wang, Rabab Ward:
Multi-view 3D Reconstruction with Transformer. CoRR abs/2103.12957 (2021) - [i15]Mohsen Gholami, Ahmad Rezaei, Helge Rhodin, Rabab Ward, Z. Jane Wang:
TriPose: A Weakly-Supervised 3D Human Pose Estimation via Triangulation from Video. CoRR abs/2105.06599 (2021) - [i14]Mohsen Gholami, Bastian Wandt, Helge Rhodin, Rabab Ward, Z. Jane Wang:
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation. CoRR abs/2112.11593 (2021) - 2020
- [j135]Yongbo Liang, Ahmed Hussain, Derek Abbott, Carlo Menon, Rabab Ward, Mohamed Elgendi:
Impact of Data Transformation: An ECG Heartbeat Classification Approach. Frontiers Digit. Health 2: 610956 (2020) - [j134]Abdel-Monem M. Ibrahim, Mohamed A. Tawhid, Rabab K. Ward:
A binary water wave optimization for feature selection. Int. J. Approx. Reason. 120: 74-91 (2020) - [j133]Jianzhe Lin, Liang Zhao, Qi Wang, Rabab Ward, Z. Jane Wang:
DT-LET: Deep transfer learning by exploring where to transfer. Neurocomputing 390: 99-107 (2020) - [j132]Jianzhe Lin, Kaiwen Yuan, Rabab Ward, Zhen Jane Wang:
Xnet: Task-specific attentional domain adaptation for satellite-to-aerial scene. Neurocomputing 406: 215-223 (2020) - [c188]A. Malik Nasser Aljalai, Chen Feng, Victor C. M. Leung, Rabab Ward:
Improving the Energy Efficiency of DFT-s-OFDM in Uplink Massive MIMO with Barker Codes. ICNC 2020: 731-735 - [c187]Ramy Hussein, Soojin Lee, Rabab Ward, Martin J. McKeown:
Epileptic Seizure Prediction: A Semi-Dilated Convolutional Neural Network Architecture. ICPR 2020: 5436-5443 - [i13]Yongwei Wang, Xin Ding, Li Ding, Rabab Ward, Z. Jane Wang:
Perception Matters: Exploring Imperceptible and Transferable Anti-forensics for GAN-generated Fake Face Imagery Detection. CoRR abs/2010.15886 (2020) - [i12]Yongwei Wang, Mingquan Feng, Rabab Ward, Z. Jane Wang, Lanjun Wang:
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification. CoRR abs/2011.05254 (2020)
2010 – 2019
- 2019
- [j131]Alaa Awad Abdellatif, Ahmed Emam, Carla-Fabiana Chiasserini, Amr Mohamed, Ali Jaoua, Rabab Ward:
Edge-based compression and classification for smart healthcare systems: Concept, implementation and evaluation. Expert Syst. Appl. 117: 1-14 (2019) - [j130]Mohamed Elgendi, Richard Ribón Fletcher, Yongbo Liang, Newton Howard, Nigel H. Lovell, Derek Abbott, Kenneth Lim, Rabab Ward:
The use of photoplethysmography for assessing hypertension. npj Digit. Medicine 2 (2019) - [j129]Yu Liu, Xun Chen, Rabab K. Ward, Z. Jane Wang:
Medical Image Fusion via Convolutional Sparsity Based Morphological Component Analysis. IEEE Signal Process. Lett. 26(3): 485-489 (2019) - [j128]Yongwei Wang, Rabab Ward, Z. Jane Wang:
Coarse-to-Fine Image DeHashing Using Deep Pyramidal Residual Learning. IEEE Signal Process. Lett. 26(9): 1295-1299 (2019) - [j127]Rabab K. Ward:
Election of President-Elect, Regional Directors-at-Large, and Members-at-Large [Society News]. IEEE Signal Process. Mag. 36(5): 8-15 (2019) - [j126]Xun Chen, Juan Cheng, Rencheng Song, Yu Liu, Rabab Ward, Z. Jane Wang:
Video-Based Heart Rate Measurement: Recent Advances and Future Prospects. IEEE Trans. Instrum. Meas. 68(10): 3600-3615 (2019) - [c186]Ramy Hussein, Rabab Ward:
Epileptic Seizure Prediction: A Multi-Scale Convolutional Neural Network Approach. GlobalSIP 2019: 1-5 - [i11]Ramy Hussein, Mohamed Osama Ahmed, Rabab Ward, Z. Jane Wang, Levin Kuhlmann, Yi Guo:
Human Intracranial EEG Quantitative Analysis and Automatic Feature Learning for Epileptic Seizure Prediction. CoRR abs/1904.03603 (2019) - [i10]Anupriya Gogna, Angshul Majumdar, Rabab Ward:
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. CoRR abs/1912.12127 (2019) - 2018
- [j125]Vanika Singhal, Angshul Majumdar, Rabab K. Ward:
Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements. IEEE Access 6: 545-553 (2018) - [j124]Vanika Singhal, Angshul Majumdar, Rabab K. Ward:
Correction to "Semi-Supervised Deep Blind Compressed Sensing for Analysis and Reconstruction of Biomedical Signals From Compressive Measurements". IEEE Access 6: 32676 (2018) - [j123]Ramy Hussein, Mohamed Elgendi, Z. Jane Wang, Rabab K. Ward:
Robust detection of epileptic seizures based on L1-penalized robust regression of EEG signals. Expert Syst. Appl. 104: 153-167 (2018) - [j122]Yu Liu, Xun Chen, Zengfu Wang, Z. Jane Wang, Rabab K. Ward, Xuesong Wang:
Deep learning for pixel-level image fusion: Recent advances and future prospects. Inf. Fusion 42: 158-173 (2018) - [j121]Sima Valizadeh, Panos Nasiopoulos, Rabab Kreidieh Ward:
Perceptual rate distortion optimization of 3D-HEVC using PSNR-HVS. Multim. Tools Appl. 77(17): 22985-23008 (2018) - [j120]Rabab K. Ward:
Collaboration Empowers Innovation [President's Message]. IEEE Signal Process. Mag. 35(1): 5-6 (2018) - [j119]Jianzhe Lin, Liang Zhao, Shuying Li, Rabab K. Ward, Z. Jane Wang:
Active-Learning-Incorporated Deep Transfer Learning for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 4048-4062 (2018) - [j118]Cheng Guo, A. Nasser Aljalai, Chen Feng, Liqiang Zhao, Victor C. M. Leung, Rabab K. Ward:
Compute-and-Forward for Uplink Non-Orthogonal Multiple Access. IEEE Wirel. Commun. Lett. 7(6): 986-989 (2018) - [c185]Ramy Hussein, Hamid Palangi, Z. Jane Wang, Rabab K. Ward:
Robust Detection of Epileptic Seizures Using Deep Neural Networks. ICASSP 2018: 2546-2550 - [c184]Mushfiqur Rouf, Rabab K. Ward:
High dynamic range imaging with a single exposure-multiplexed image using smooth contour prior. Image Processing: Algorithms and Systems 2018 - [c183]Jianzhe Lin, Rabab Ward, Z. Jane Wang:
Deep Transfer Learning for Hyperspectral Image Classification. MMSP 2018: 1-5 - [i9]Jianzhe Lin, Qi Wang, Rabab Ward, Z. Jane Wang:
DT-LET: Deep Transfer Learning by Exploring where to Transfer. CoRR abs/1809.08541 (2018) - 2017
- [j117]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Convolutional Deep Stacking Networks for distributed compressive sensing. Signal Process. 131: 181-189 (2017) - [j116]Rabab K. Ward:
Volunteerism Makes a Positive Difference [President's Message]. IEEE Signal Process. Mag. 34(1): 4-5 (2017) - [j115]Rabab K. Ward:
Introducing the IEEE Signal Processing Society Executive Committee [President's Message]. IEEE Signal Process. Mag. 34(2): 5-6 (2017) - [j114]Rabab K. Ward:
Diversity Through Adversity [President's Message]. IEEE Signal Process. Mag. 34(3): 4-5 (2017) - [j113]Rabab K. Ward:
Mind the (Gender) Gap [President's Message]. IEEE Signal Process. Mag. 34(4): 4-5 (2017) - [j112]Rabab K. Ward:
Careers in Signal Processing: A Diverse Field Impacting the Future [President's Message]. IEEE Signal Process. Mag. 34(5): 5-11 (2017) - [j111]Rabab K. Ward:
Signal Processing Is More than Its Beloved Name [President's Message]. IEEE Signal Process. Mag. 34(6): 5-7 (2017) - [j110]Anupriya Gogna, Angshul Majumdar, Rabab Kreidieh Ward:
Semi-supervised Stacked Label Consistent Autoencoder for Reconstruction and Analysis of Biomedical Signals. IEEE Trans. Biomed. Eng. 64(9): 2196-2205 (2017) - [c182]Mushfiqur Rouf, Rabab K. Ward:
Dynamic range expansion of single images using intensity-invariant patch correspondences. GlobalSIP 2017: 41-45 - [c181]Ramy Hussein, Mohamed Elgendi, Rabab Kreidieh Ward, Amr Mohamed:
High performance EEG feature extraction for fast epileptic seizure detection. GlobalSIP 2017: 953-957 - [c180]Prerna Singh, Ramy Hussein, Angshul Majumdar, Rabab K. Ward:
Joint-sparse dictionary learning: Denoising multiple measurement vectors. GlobalSIP 2017: 1160-1164 - [c179]Jyoti Maggu, Ramy Hussein, Angshul Majumdar, Rabab K. Ward:
Impulse denoising via transform learning. GlobalSIP 2017: 1250-1254 - [c178]Angshul Majumdar, Rabab Kreidieh Ward:
Robust greedy deep dictionary learning for ECG arrhythmia classification. IJCNN 2017: 4400-4407 - [c177]Davood Karimi, Rabab K. Ward:
Image reconstruction in computed tomography using variance-reduced stochastic gradient descent. ISBI 2017: 543-547 - [c176]A. Nasser Aljalai, Chen Feng, Victor C. M. Leung, Rabab Ward:
Eliminating Pilot Contamination Using Dual Pilot Sequences in Massive MIMO. VTC Fall 2017: 1-6 - 2016
- [j109]Davood Karimi, Pierre Deman, Rabab K. Ward, Nancy Ford:
A sinogram denoising algorithm for low-dose computed tomography. BMC Medical Imaging 16: 11 (2016) - [j108]Davood Karimi, Rabab K. Ward:
Patch-based models and algorithms for image processing: a review of the basic principles and methods, and their application in computed tomography. Int. J. Comput. Assist. Radiol. Surg. 11(10): 1765-1777 (2016) - [j107]Davood Karimi, Rabab K. Ward:
A denoising algorithm for projection measurements in cone-beam computed tomography. Comput. Biol. Medicine 69: 71-82 (2016) - [j106]Davood Karimi, Rabab K. Ward:
On the computational implementation of forward and back-projection operations for cone-beam computed tomography. Medical Biol. Eng. Comput. 54(8): 1193-1204 (2016) - [j105]Hesham Mahrous, Rabab K. Ward:
Block Sparse Compressed Sensing of Electroencephalogram (EEG) Signals by Exploiting Linear and Non-Linear Dependencies. Sensors 16(2): 201 (2016) - [j104]Yu Liu, Xun Chen, Rabab K. Ward, Z. Jane Wang:
Image Fusion With Convolutional Sparse Representation. IEEE Signal Process. Lett. 23(12): 1882-1886 (2016) - [j103]Rabab K. Ward:
Your Work Powers Life [President's Message]. IEEE Signal Process. Mag. 33(2): 4-5 (2016) - [j102]Rabab K. Ward:
The Meaning of (the Signal Processing) Life President's Message. IEEE Signal Process. Mag. 33(3): 4-5 (2016) - [j101]Rabab K. Ward:
Bringing Signal Processing into the Forefront of the Conversation [President's Message]. IEEE Signal Process. Mag. 33(4): 4 (2016) - [j100]Rabab K. Ward:
The IEEE as "Bottom-Up" or "Top-Down" Management - The Choice Is Yours [President's Message]. IEEE Signal Process. Mag. 33(5): 4-5 (2016) - [j99]Rabab Kreidieh Ward:
Meeting the Needs of Our Members [President's Message]. IEEE Signal Process. Mag. 33(6): 4-5 (2016) - [j98]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 694-707 (2016) - [j97]Hamid Palangi, Rabab K. Ward, Li Deng:
Distributed Compressive Sensing: A Deep Learning Approach. IEEE Trans. Signal Process. 64(17): 4504-4518 (2016) - [c175]Hossein Bashashati, Rabab K. Ward, Ali Bashashati:
Bayesian optimization of BCI parameters. CCECE 2016: 1-5 - [c174]Hesham Mahrous, Rabab Kreidieh Ward:
A low power Dirac basis compressed sensing framework for EEG using a Meyer wavelet function dictionary. CCECE 2016: 1-6 - [c173]Hiba Shahid, Rabab K. Ward:
Codebook design for vector quantization using hexagonal partitioning. CCECE 2016: 1-6 - [c172]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Reconstruction of sparse vectors in compressive sensing with multiple measurement vectors using bidirectional long short-term memory. GlobalSIP 2016: 192-196 - [c171]Ramy Hussein, Z. Jane Wang, Rabab Kreidieh Ward:
Ll-regularization based EEG feature learning for detecting epileptic seizure. GlobalSIP 2016: 1171-1175 - [c170]Angshul Majumdar, Rabab Kreidieh Ward:
Robust dictionary learning: Application to signal disaggregation. ICASSP 2016: 2469-2473 - [c169]Hamid Palangi, Rabab Kreidieh Ward, Li Deng:
Exploiting correlations among channels in distributed compressive sensing with convolutional deep stacking networks. ICASSP 2016: 2692-2696 - [c168]Sima Valizadeh, Panos Nasiopoulos, Rabab Kreidieh Ward:
Perceptual distortion measurement in the coding unit mode selection for 3D-HEVC. ICCE 2016: 347-350 - [c167]Sima Valizadeh, Panos Nasiopoulos, Rabab K. Ward:
Optimizing the Lagrange multiplier in perceptually-friendly high efficiency video coding for mobile applications. ICNC 2016: 1-4 - [c166]Ramy Hussein, Rabab K. Ward, Z. Jane Wang, Amr Mohamed:
Energy Efficient EEG Monitoring System for Wireless Epileptic Seizure Detection. ICMLA 2016: 294-299 - [c165]Hossein Bashashati, Rabab K. Ward, Ali Bashashati, Amr M. Mohamed:
Neural Network Conditional Random Fields for Self-Paced Brain Computer Interfaces. ICMLA 2016: 939-943 - [c164]Angshul Majumdar, Rabab Kreidieh Ward:
Real-time reconstruction of EEG signals from compressive measurements via deep learning. IJCNN 2016: 2856-2863 - [c163]Prerna Khurana, Angshul Majumdar, Rabab Kreidieh Ward:
Class-wise deep dictionaries for EEG classification. IJCNN 2016: 3556-3563 - [c162]Mushfiqur Rouf, Dikpal Reddy, Kari Pulli, Rabab K. Ward:
Fast edge-directed single-image super-resolution. Image Processing: Algorithms and Systems 2016: 1-8 - [c161]Fahime Sheikhzadeh, Anita Carraro, Jagoda Korbelik, Calum MacAulay, Martial Guillaud, Rabab K. Ward:
Automatic labeling of molecular biomarkers on a cell-by-cell basis in immunohistochemistry images using convolutional neural networks. Medical Imaging: Digital Pathology 2016: 97910R - [c160]Davood Karimi, Rabab K. Ward:
Sinogram smoothing and interpolation via alternating projections onto the slope and curvature constraints. Medical Imaging: Image Processing 2016: 97840M - [c159]Davood Karimi, Rabab K. Ward:
A novel structured dictionary for fast processing of 3D medical images, with application to computed tomography restoration and denoising. Medical Imaging: Image Processing 2016: 97840N - [i8]Fahime Sheikhzadeh, Martial Guillaud, Rabab K. Ward:
Automatic labeling of molecular biomarkers of whole slide immunohistochemistry images using fully convolutional networks. CoRR abs/1612.09420 (2016) - 2015
- [j96]Angshul Majumdar, Rabab K. Ward:
Energy efficient EEG sensing and transmission for wireless body area networks: A blind compressed sensing approach. Biomed. Signal Process. Control. 20: 1-9 (2015) - [j95]Huazhu Fu, Dong Xu, Bao Zhang, Stephen Lin, Rabab K. Ward:
Object-Based Multiple Foreground Video Co-Segmentation via Multi-State Selection Graph. IEEE Trans. Image Process. 24(11): 3415-3424 (2015) - [c158]Sima Valizadeh, Panos Nasiopoulos, Rabab K. Ward:
Perceptually-friendly rate distortion optimization in high efficiency video coding. EUSIPCO 2015: 115-119 - [c157]Mushfiqur Rouf, Rabab Kreidieh Ward:
Retrieving information lost by image denoising. GlobalSIP 2015: 1066-1070 - [c156]Mojgan Hashemian, Hadi Moradi, Maryam S. Mirian, Mehdi Tehrani-Doost, Rabab K. Ward:
Is the Mood Really in the Eye of the Beholder? HCI (27) 2015: 712-717 - [c155]Ankita Shukla, Angshul Majumdar, Rabab K. Ward:
A Kronecker Compressed Sensing formulation for energy efficient EEG sensing. ICAPR 2015: 1-6 - [c154]Angshul Majumdar, Rabab K. Ward:
Learning the sparsity basis in low-rank plus sparse model for dynamic MRI reconstruction. ICASSP 2015: 778-782 - [c153]Angshul Majumdar, Ankita Shukla, Rabab K. Ward:
Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network. ICASSP 2015: 837-841 - [c152]Davood Karimi, Rabab K. Ward, Nancy Ford:
Angular upsampling of projection measurements in 3D computed tomography using a sparsity prior. ICIP 2015: 3363-3367 - [c151]Angshul Majumdar, Rabab Kreidieh Ward:
Learning space-time dictionaries for blind compressed sensing dynamic MRI reconstruction. ICIP 2015: 4550-4554 - [c150]Hossein Bashashati, Rabab K. Ward, Ali Bashashati:
Hidden Markov Support Vector Machines for Self-Paced Brain Computer Interfaces. ICMLA 2015: 382-385 - [c149]Fahime Sheikhzadeh, Rabab K. Ward, Anita Carraro, Zhaoyang Chen, Dirk van Niekerk, Calum MacAulay, Michele Follen, Pierre Lane, Martial Guillaud:
Confocal fluorescence microscopy for detection of cervical preneoplastic lesions. Medical Imaging: Digital Pathology 2015: 942009 - [i7]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. CoRR abs/1502.06922 (2015) - [i6]Hamid Palangi, Rabab K. Ward, Li Deng:
Distributed Compressive Sensing: A Deep Learning Approach. CoRR abs/1508.04924 (2015) - 2014
- [j94]Angshul Majumdar, Rabab K. Ward:
Non-convex row-sparse multiple measurement vector analysis prior formulation for EEG signal reconstruction. Biomed. Signal Process. Control. 13: 142-147 (2014) - [j93]Ehsan Nezhadarya, Rabab K. Ward:
Multiscale Derivative Transform and Its Application to Image Watermarking. Digit. Signal Process. 33: 148-155 (2014) - [j92]Simon Fauvel, Rabab K. Ward:
An Energy Efficient Compressed Sensing Framework for the Compression of Electroencephalogram Signals. Sensors 14(1): 1474-1496 (2014) - [j91]