Fuad Noman

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All published works

Action	Title	Year	Authors
+ PDF Chat	Dynamic MRI reconstruction using low-rank plus sparse decomposition with smoothness regularization	2024	Chee-Ming Ting Fuad Noman Raphaël C. -W. Phan Hernando Ombao
+ PDF Chat	Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification	2024	Fuad Noman Chee-Ming Ting Hakmook Kang Raphaël C.‐W. Phan Hernando Ombao
+	A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification	2023	Junn Yong Loo Sin-Yee Yap Fuad Noman Raphaël C.‐W. Phan Chee-Ming Ting
+	Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation	2022	Yee Fan Tan Chee-Ming Ting Fuad Noman Raphaël C. -W. Phan Hernando Ombao
+ PDF Chat	Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI	2021	Chee-Ming Ting Jeremy I Skipper Fuad Noman Steven L. Small Hernando Ombao
+	Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification	2021	Fuad Noman Chee-Ming Ting Hakmook Kang Raphaël C.‐W. Phan Brian D. Boyd Warren D. Taylor Hernando Ombao
+ PDF Chat	Kalman Filter and Wavelet Cross-Correlation for VHF Broadband Interferometer Lightning Mapping	2020	Ammar Alammari Ammar Ahmed Alkahtani Mohd Riduan Ahmad Fuad Noman Mona Riza Mohd Esa Muhammad Haziq Mohammad Sabri Sulaiman Ali Mohammad Ahmed Salih Al-Khaleefa Zen Kawasaki Vassilios G. Agelidis
+	Lightning Mapping: Techniques, Challenges, and Opportunities	2020	Ammar Alammari Ammar Ahmed Alkahtani Mohd Riduan Ahmad Fuad Noman Mona Riza Mohd Esa Zen Kawasaki Sieh Kiong Tiong
+	Wind Data Analysis for Assessing the Potential of Off-Grid Direct EV Charging Stations	2020	Fuad Noman Ammar Ahmed Alkahtani Vassilios G. Agelidis Sieh Kiong Tiong
+ PDF Chat	Comprehensive Review of Wind Energy in Malaysia: Past, Present, and Future Research Trends	2020	Fuad Noman Gamal Alkawsi Dallatu Abbas Ammar Ahmed Alkahtani Sieh Kiong Tiong Janaka Ekanayake
+ PDF Chat	Lightning Mapping: Techniques, Challenges, and Opportunities	2020	Ammar Alammari Ammar Ahmed Alkahtani Mohd Riduan Ahmad Fuad Noman Mona Riza Mohd Esa Zen Kawasaki Sieh Kiong Tiong
+	Lightning Mapping: Techniques, Challenges, and Opportunities	2020	Ammar Alammari Ammar Ahmed Alkahtani Mohd Riduan Ahmad Fuad Noman Mona Riza Mohd Esa Zen Kawasaki Sieh Kiong Tiong
+ PDF Chat	A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns	2019	Chun-Ren Phang Fuad Noman Hadri Hussain Chee-Ming Ting Hernando Ombao
+ PDF Chat	A Markov-Switching Model Approach to Heart Sound Segmentation and Classification	2019	Fuad Noman Sh‐Hussain Salleh Chee-Ming Ting S. Balqis Samdin Hernando Ombao Hadri Hussain
+ PDF Chat	Short-segment Heart Sound Classification Using an Ensemble of Deep Convolutional Neural Networks	2019	Fuad Noman Chee-Ming Ting Sh‐Hussain Salleh Hernando Ombao
+ PDF Chat	Classification of EEG-Based Brain Connectivity Networks in Schizophrenia Using a Multi-Domain Connectome Convolutional Neural Network.	2019	Chun-Ren Phang Chee-Ming Ting Fuad Noman Hernando Ombao

Common Coauthors

Coauthor	Papers Together
Chee-Ming Ting	10
Hernando Ombao	9
Ammar Ahmed Alkahtani	6
Sieh Kiong Tiong	5
Zen Kawasaki	4
Mona Riza Mohd Esa	4
Ammar Alammari	4
Mohd Riduan Ahmad	4
Raphaël C.‐W. Phan	3
Chun-Ren Phang	2
Vassilios G. Agelidis	2
Hakmook Kang	2
Sh‐Hussain Salleh	2
Raphaël C. -W. Phan	2
Jeremy I Skipper	1
Sin-Yee Yap	1
Muhammad Haziq Mohammad Sabri	1
Brian D. Boyd	1
Hadri Hussain	1
Dallatu Abbas	1
S. Balqis Samdin	1
Hadri Hussain	1
Sulaiman Ali Mohammad	1
Yee Fan Tan	1
Ahmed Salih Al-Khaleefa	1
Gamal Alkawsi	1
Steven L. Small	1
Junn Yong Loo	1
Warren D. Taylor	1
Janaka Ekanayake	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Estimating Dynamic Connectivity States in fMRI Using Regime-Switching Factor Models	2017	Chee-Ming Ting Hernando Ombao S. Balqis Samdin Sh‐Hussain Salleh	3
+ PDF Chat	Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture	2017	Regina Meszlényi Krisztián Búza Zoltán Vidnyánszky	2
+ PDF Chat	Deep learning for neuroimaging: a validation study	2014	Sergey M. Plis Devon Hjelm Ruslan Salakhutdinov Elena A. Allen H. Jeremy Bockholt Jeffrey D. Long Hans J. Johnson Jane S. Paulsen Jessica A. Turner Vince D. Calhoun	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	1
+	Robust Kalman Filtering under Model Perturbations	2015	Mattia Zorzi	1
+ PDF Chat	Robust Low-Rank Tensor Recovery: Models and Algorithms	2014	Donald Goldfarb Zhiwei Qin	1
+ PDF Chat	A well-conditioned estimator for large-dimensional covariance matrices	2003	Olivier Ledoit Michael Wolf	1
+ PDF Chat	Gyri of the human neocortex: an MRI-based analysis of volume and variance	1998	David W. Kennedy	1
+	Dynamic Linear Models with Switching	1991	Robert H. Shumway David S. Stoffer	1
+ PDF Chat	A Singular Value Thresholding Algorithm for Matrix Completion	2010	Jian‐Feng Cai Emmanuel J. Candès Zuowei Shen	1
+ PDF Chat	Shrinkage Algorithms for MMSE Covariance Estimation	2010	Yilun Chen Ami Wiesel Yonina C. Eldar Alfred O. Hero	1
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	1
+ PDF Chat	Sparsity and Smoothness Via the Fused Lasso	2004	Robert Tibshirani Michael A. Saunders Saharon Rosset Ji Zhu Keith Knight	1
+ PDF Chat	Modeling a Multi-modal Distribution of Wind Direction Data in Kudat, Malaysia	2015	Nurulkamal Masseran	1
+ PDF Chat	Robust principal component analysis?	2011	Emmanuel J. Candès Xiaodong Li Yi Ma John Wright	1
+ PDF Chat	Sparse vector Markov switching autoregressive models. Application to multivariate time series of temperature	2016	Valérie Monbet Pierre Ailliot	1
+ PDF Chat	Semi-Markov Switching Vector Autoregressive Model-Based Anomaly Detection in Aviation Systems	2016	Igor Melnyk Arindam Banerjee Bryan Matthews Nikunj C. Oza	1
+	Fully Convolutional Networks for Semantic Segmentation	2016	Evan Shelhamer Jonathan Long Trevor Darrell	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	Variational Graph Auto-Encoders	2016	Thomas Kipf Max Welling	1
+	Machine Learning on Human Connectome Data from MRI	2016	Colin J. Brown Ghassan Hamarneh	1
+	Segmental Convolutional Neural Networks for Detection of Cardiac Abnormality With Noisy Heart Sound Recordings	2016	Yuhao Zhang Sandeep Ayyar Long-Huei Chen Ethan J. Li	1
+ PDF Chat	Spectral Graph Convolutions for Population-Based Disease Prediction	2017	Sarah Parisot Sofia Ira Ktena Enzo Ferrante Matthew Lee Ricardo Guerrerro Moreno Ben Glocker Daniel Rueckert	1
+ PDF Chat	A Study and Comparison of Human and Deep Learning Recognition Performance under Visual Distortions	2017	Samuel Dodge Lina J. Karam	1
+	Resting state fMRI functional connectivity-based classification using a convolutional neural network architecture	2017	Regina Meszlényi Krisztián Búza Zoltán Vidnyánszky	1
+	A Data Driven Approach for Resting-state EEG signal Classification of Schizophrenia with Control Participants using Random Matrix Theory	2017	Haichun Liu Tianhong Zhang Yumeng Ye Changchun Pan Genke Yang Jijun Wang Robert C. Qiu	1
+ PDF Chat	Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer’s disease	2018	Sarah Parisot Sofia Ira Ktena Enzo Ferrante Matthew Lee Ricardo Guerrero Ben Glocker Daniel Rueckert	1
+	Adversarially Regularized Graph Autoencoder for Graph Embedding	2018	Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Lina Yao Chengqi Zhang	1
+	L2RM: Low-Rank Linear Regression Models for High-Dimensional Matrix Responses	2019	Dehan Kong Baiguo An Jingwen Zhang Hongtu Zhu	1
+	Practical Bayesian Optimization of Machine Learning Algorithms	2012	Jasper Snoek Hugo Larochelle Ryan P. Adams	1
+	Semi-Markov Switching Vector Autoregressive Model-based Anomaly Detection in Aviation Systems	2016	Igor Melnyk Arindam Banerjee Bryan Matthews Nikunj C. Oza	1
+	Adversarially Regularized Graph Autoencoder for Graph Embedding	2018	Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Lina Yao Chengqi Zhang	1
+	Full and Fractional Counting in Bibliometric Networks	2016	Loet Leydesdorff Han Woo Park	1
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	1
+ PDF Chat	Robust Kalman Filtering Under Model Perturbations	2016	Mattia Zorzi	1
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	1
+	Variational Graph Recurrent Neural Networks	2019	Ehsan Hajiramezanali Arman Hasanzadeh Nick Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1
+	Deep learning for neuroimaging: A validation study	2014	Sergey M. Plis Devon Hjelm Ruslan Salakhutdinov Vince D. Calhoun	1
+ PDF Chat	ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data	2019	Taban Eslami Vahid Mirjalili A.C.M. Fong Angela R. Laird Fahad Saeed	1
+ PDF Chat	EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs	2020	Aldo Pareja Giacomo Domeniconi Jie Chen Tengfei Ma Toyotaro Suzumura Hiroki Kanezashi Tim Kaler Tao B. Schardl Charles E. Leiserson	1
+	The linearized alternating direction method of multipliers for low-rank and fused LASSO matrix regression model	2020	M. Li Qihao Guo Weicheng Zhai B. Z. Chen	1
+	Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks	2019	Minjie Wang Da Zheng Zihao Ye Quan Gan Mufei Li Xiang Song Jinjing Zhou Chao Ma Lingfan Yu Yu Gai	1
+ PDF Chat	Nonparametric matrix response regression with application to brain imaging data analysis	2020	Wei Hu Tianyu Pan Dehan Kong Weining Shen	1
+ PDF Chat	A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis	2020	Li Zhang Mingliang Wang Mingxia Liu Daoqiang Zhang	1
+ PDF Chat	A Markov-Switching Model Approach to Heart Sound Segmentation and Classification	2019	Fuad Noman Sh‐Hussain Salleh Chee-Ming Ting S. Balqis Samdin Hernando Ombao Hadri Hussain	1
+ PDF Chat	A Multi-Domain Connectome Convolutional Neural Network for Identifying Schizophrenia From EEG Connectivity Patterns	2019	Chun-Ren Phang Fuad Noman Hadri Hussain Chee-Ming Ting Hernando Ombao	1