A. K. Malik

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All published works

Action	Title	Year	Authors
+ PDF Chat	Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning	2024	M. A. Ganaie M. Sajid A. K. Malik M. Tanveer
+	Random vector functional link network: Recent developments, applications, and future directions	2023	A. K. Malik Ruobin Gao M. A. Ganaie M. Tanveer Ponnuthurai Nagaratnam Suganthan
+	Graph Embedded Intuitionistic Fuzzy RVFL for Class Imbalance Learning	2023	M. A. Ganaie M. Sajid A. K. Malik M. Tanveer
+	Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers	2023	M. Sajid A. K. Malik M. Tanveer
+ PDF Chat	Ensemble deep learning: A review	2022	M. A. Ganaie Minghui Hu A. K. Malik M. Tanveer Ponnuthurai Nagaratnam Suganthan

Common Coauthors

Coauthor	Papers Together
M. Tanveer	4
M. A. Ganaie	3
M. Sajid	3
Ponnuthurai Nagaratnam Suganthan	2
Ruobin Gao	1
M. A. Ganaie	1
Minghui Hu	1
M. Tanveer	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Random vector functional link network: Recent developments, applications, and future directions	2023	A. K. Malik Ruobin Gao M. A. Ganaie M. Tanveer Ponnuthurai Nagaratnam Suganthan	4
+ PDF Chat	Random vector functional link neural network based ensemble deep learning	2021	Qiushi Shi Rakesh Katuwal Ponnuthurai Nagaratnam Suganthan M. Tanveer	4
+	Intuitionistic Fuzzy Twin Support Vector Machines	2019	Salim Rezvani Xizhao Wang Farhad Pourpanah	3
+ PDF Chat	A new learning paradigm for random vector functional-link network: RVFL+	2019	Pengbo Zhang Zhi-Xin Yang	3
+	Statistical Comparisons of Classifiers over Multiple Data Sets	2006	Janez Demšar	3
+ PDF Chat	Deep learning for brain age estimation: A systematic review	2023	M. Tanveer M. A. Ganaie Iman Beheshti Tripti Goel Nehal Ahmad Kuan-Ting Lai Kaizhu Huang Yudong Zhang Javier Del Ser Chin‐Teng Lin	2
+ PDF Chat	Stacked autoencoder based deep random vector functional link neural network for classification	2019	Rakesh Katuwal Ponnuthurai Nagaratnam Suganthan	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	The Loss Surfaces of Multilayer Networks	2015	Anna Choromanska Mikael Henaff Michaël Mathieu Gérard Ben Arous Yann LeCun	1
+	Combining Estimates in Regression and Classification	1996	Michael LeBlanc Robert Tibshirani	1
+ PDF Chat	Empirical Wavelet Transform	2013	Jérôme Gilles	1
+ PDF Chat	Multi-label ensemble based on variable pairwise constraint projection	2012	Ping Li Hong Li Min Wu	1
+	A deep architecture with bilinear modeling of hidden representations: Applications to phonetic recognition	2012	Brian Hutchinson Li Deng Dong Yu	1
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+	A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems	2009	Amir Beck Marc Teboulle	1
+	Tensor Deep Stacking Networks	2013	Brian Hutchinson Li Deng Dong Yu	1
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	1
+ PDF Chat	Multi-column deep neural networks for image classification	2012	Dan Cireşan Ueli Meier Jürgen Schmidhuber	1
+ PDF Chat	SMOTE: Synthetic Minority Over-sampling Technique	2002	Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Philip Kegelmeyer	1
+ PDF Chat	Ensemble-based classifiers	2009	Lior Rokach	1
+ PDF Chat	Diversity creation methods: a survey and categorisation	2004	Gavin Brown Jeremy Wyatt Rachel Harris Xin Yao	1
+ PDF Chat	Sparse Deep Stacking Network for Image Classification	2015	Jun Li Heyou Chang Jian Yang	1
+	A Deep Learning Approach to Unsupervised Ensemble Learning	2016	Uri Shaham Xiuyuan Cheng Omer Dror Ariel Jaffe Boaz Nadler Joseph T. Chang Yuval Kluger	1
+ PDF Chat	Deep Networks with Stochastic Depth	2016	Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger	1
+	Swapout: Learning an ensemble of deep architectures	2016	Saurabh Singh Derek Hoiem David Forsyth	1
+	A framework for parameter estimation and model selection in kernel deep stacking networks	2016	Thomas Welchowski Matthias Schmid	1
+ PDF Chat	Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods	2019	Cheng Ju Mary Combs Samuel Lendle Jessica M. Franklin Richard Wyss Sebastian Schneeweiß Mark J. van der Laan	1
+	AdaNet: Adaptive Structural Learning of Artificial Neural Networks	2016	Corinna Cortes Xavi Gonzalvo Vitaly Kuznetsov Mehryar Mohri Scott Cheng‐Hsin Yang	1
+	Residual Networks Behave Like Ensembles of Relatively Shallow Networks	2016	Andreas Veit Michael J. Wilber Serge Belongie	1
+	Incremental Boosting Convolutional Neural Network for Facial Action Unit Recognition	2017	Shizhong Han Zibo Meng Ahmed Shehab Khan Yan Tong	1
+	Online Learning for Offloading and Autoscaling in Energy Harvesting Mobile Edge Computing	2017	Jie Xu Lixing Chen Shaolei Ren	1
+ PDF Chat	The relative performance of ensemble methods with deep convolutional neural networks for image classification	2018	Cheng Ju Aurélien Bibaut Mark van der Laan	1
+ PDF Chat	Parsimonious random vector functional link network for data streams	2017	Mahardhika Pratama Plamen Angelov Edwin Lughofer Meng Joo Er	1
+	Further contributions to the theory of generalized inverse of matrices and its applications	1971	C. Mallikarjuna Rao Sujit Kumar Mitra	1
+	Deep Incremental Boosting	2017	Alan Mosca George D. Magoulas	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+ PDF Chat	Stacking-Based Deep Neural Network: Deep Analytic Network for Pattern Classification	2019	Cheng Yee Low Jaewoo Park Andrew Beng Jin Teoh	1
+	Proceedings of the 25th international conference on Machine learning	2008	William W. Cohen Andrew McCallum Sam T. Roweis	1
+ PDF Chat	None	1996	Leo Breiman	1
+	Deep learning in bioinformatics: Introduction, application, and perspective in the big data era	2019	Yu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao	1
+	Unsupervised Feature Learning with K-means and An Ensemble of Deep Convolutional Neural Networks for Medical Image Classification	2019	Euijoon Ahn Ashnil Kumar Dagan Feng Michael Fulham Jinman Kim	1
+	Online Gradient Boosting	2015	Alina Beygelzimer Elad Hazan Satyen Kale Haipeng Luo	1
+	Training Very Deep Networks	2015	Rupesh K. Srivastava Klaus Greff Jürgen Schmidhuber	1
+	Snapshot Ensembles: Train 1, get M for free	2017	Gao Huang Yixuan Li Geoff Pleiss Zhuang Liu John E. Hopcroft Kilian Q. Weinberger	1
+	Temporal Ensembling for Semi-Supervised Learning	2016	Samuli Laine Timo Aila	1
+ PDF Chat	Locally Weighted Ensemble Clustering	2017	Dong Huang Chang‐Dong Wang Jianhuang Lai	1
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	1
+	Self-Normalizing Neural Networks	2017	Günter Klambauer Thomas Unterthiner Andreas Mayr Sepp Hochreiter	1
+ PDF Chat	Gradual DropIn of Layers to Train Very Deep Neural Networks	2016	Leslie N. Smith Emily M. Hand Timothy Doster	1
+ PDF Chat	SVM-Based Deep Stacking Networks	2019	Jingyuan Wang Kai Feng Junjie Wu	1