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ORCIDMuhammad Tanveer 0001
Mohammad Tanveer 0001
Person information
- affiliation: Indian Institute of Technology, Indore, India
- affiliation (2015 - 2016): Nanyang Technological University, Singapore
- affiliation (2012 - 2015): Deemed University, LNM Institute of Information Technology, Jaipur, India
- affiliation (until 2012): Jawaharlal Nehru University, New Delhi, India
Other persons with the same name
- Muhammad Tanveer — disambiguation page
- Muhammad Tanveer 0002
![[0000-0003-2704-353X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2704-353X")
— University of Lahore, Department of Mathematics and Statistics, Pakistan - Muhammad Tanveer 0003 — Government College University Lahore, Pakistan
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2020 – today
- 2022
[j61]Mohammad Shahid, John Jethro Virtusio, Yu-Hsien Wu, Yung-Yao Chen, Muhammad Tanveer, Khan Muhammad, Kai-Lung Hua:
Spatio-Temporal Self-Attention Network for Fire Detection and Segmentation in Video Surveillance. IEEE Access 10: 1259-1275 (2022)- [j60]Rahul Sharma, Tripti Goel, Muhammad Tanveer, R. Murugan:
FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer's disease using the sagittal plane of MRI scans. Appl. Soft Comput. 115: 108099 (2022) - [j59]Javed Ali, Mujahed Aldhaifallah, Kottakkaran Sooppy Nisar, Ahmad Abdullah Aljabr, Mohammad Tanveer:
Regularized Least Squares Twin SVM for Multiclass Classification. Big Data Res. 27: 100295 (2022) - [j58]Izhar Ahmed Khan, Nour Moustafa, Imran Razzak, Muhammad Tanveer, Dechang Pi, Yue Pan, Bakht Sher Ali:
XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks. Future Gener. Comput. Syst. 127: 181-193 (2022) - [j57]Mohammad Tanveer, A. H. Rashid, Rahul Kumar, Balasubramanian Raman:
Parkinson's disease diagnosis using neural networks: Survey and comprehensive evaluation. Inf. Process. Manag. 59(3): 102909 (2022) - [j56]M. A. Ganaie, Mohammad Tanveer, Alzheimer's Disease Neuroimaging Initiative:
KNN weighted reduced universum twin SVM for class imbalance learning. Knowl. Based Syst. 245: 108578 (2022) - [j55]Iman Beheshti, M. A. Ganaie, Vardhan Paliwal, Aryan Rastogi, Imran Razzak, Muhammad Tanveer:
Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation. IEEE J. Biomed. Health Informatics 26(4): 1432-1440 (2022) - [j54]Muhammad Tanveer, Ashraf Haroon Rashid, M. A. Ganaie, Motahar Reza, Imran Razzak, Kai-Lung Hua:
Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning. IEEE J. Biomed. Health Informatics 26(4): 1453-1463 (2022) - [j53]Jiun-Da Lin, Hung-Hsiang Lin, Jilyan Bianca Dy, Jun-Cheng Chen, Mohammad Tanveer, Imran Razzak, Kai-Lung Hua:
Lightweight Face Anti-Spoofing Network for Telehealth Applications. IEEE J. Biomed. Health Informatics 26(5): 1987-1996 (2022) - [i10]Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Random vector functional link network: recent developments, applications, and future directions. CoRR abs/2203.11316 (2022) - [i9]Muhammad Tanveer, Jatin Jangir, M. A. Ganaie, Iman Beheshti, M. Tabish, Nikunj Chhabra:
Diagnosis of Schizophrenia: A comprehensive evaluation. CoRR abs/2203.11610 (2022) - [i8]A. H. Rashid, A. Gupta, J. Gupta, Muhammad Tanveer:
Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning. CoRR abs/2203.12197 (2022) - 2021
- [j52]Rahul Sharma, Tripti Goel, Muhammad Tanveer, Shubham Dwivedi, R. Murugan:
FAF-DRVFL: Fuzzy activation function based deep random vector functional links network for early diagnosis of Alzheimer disease. Appl. Soft Comput. 106: 107371 (2021) - [j51]Mohammad Tanveer, M. A. Ganaie, Ponnuthurai N. Suganthan:
Ensemble of classification models with weighted functional link network. Appl. Soft Comput. 107: 107322 (2021) - [j50]M. A. Ganaie, Muhammad Tanveer, Alzheimer's Disease Neuroimaging Initiative:
Fuzzy least squares projection twin support vector machines for class imbalance learning. Appl. Soft Comput. 113(Part): 107933 (2021) - [j49]Chandan Gautam, Aruna Tiwari, Pratik K. Mishra, Suresh Sundaram, Alexandros Iosifidis, Muhammad Tanveer:
Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. Cogn. Comput. 13(2): 552-569 (2021) - [j48]Amiya Kumar Sahu, Suraj Sharma, Mohammad Tanveer, Rohit Raja:
Internet of Things attack detection using hybrid Deep Learning Model. Comput. Commun. 176: 146-154 (2021) - [j47]Khan Muhammad, Mohammad S. Obaidat, Tanveer Hussain, Javier Del Ser, Neeraj Kumar, Muhammad Tanveer, Faiyaz Doctor:
Fuzzy Logic in Surveillance Big Video Data Analysis: Comprehensive Review, Challenges, and Research Directions. ACM Comput. Surv. 54(3): 68:1-68:33 (2021) - [j46]Riyaj Uddin Khan, Mohammad Tanveer, Ram Bilas Pachori, Alzheimer's Disease Neuroimaging Initiative:
A novel method for the classification of Alzheimer's disease from normal controls using magnetic resonance imaging. Expert Syst. J. Knowl. Eng. 38(1) (2021) - [j45]Mohammad Tanveer, Sweta Sharma, Reshma Rastogi, Pritam Anand:
Sparse support vector machine with pinball loss. Trans. Emerg. Telecommun. Technol. 32(2) (2021) - [j44]Muhammad Tanveer, A. Sharma, Ponnuthurai N. Suganthan:
Least squares KNN-based weighted multiclass twin SVM. Neurocomputing 459: 454-464 (2021) - [j43]Hossein Moosaei, Saeed Ketabchi, Mohamad Razzaghi, Muhammad Tanveer:
Generalized Twin Support Vector Machines. Neural Process. Lett. 53(2): 1545-1564 (2021) - [j42]Qiushi Shi, Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Random vector functional link neural network based ensemble deep learning. Pattern Recognit. 117: 107978 (2021) - [j41]Muhammad Tanveer, Tarun Gupta, Miten Shah, Bharat Richhariya:
Sparse Twin Support Vector Clustering Using Pinball Loss. IEEE J. Biomed. Health Informatics 25(10): 3776-3783 (2021) - [j40]John Jethro Virtusio, Jose Jaena Mari Ople, Daniel Stanley Tan, Muhammad Tanveer, Neeraj Kumar, Kai-Lung Hua:
Neural Style Palette: A Multimodal and Interactive Style Transfer From a Single Style Image. IEEE Trans. Multim. 23: 2245-2258 (2021) - [j39]John Jethro Virtusio, Daniel Stanley Tan, Wen-Huang Cheng, Mohammad Tanveer, Kai-Lung Hua:
Enabling Artistic Control Over Pattern Density and Stroke Strength. IEEE Trans. Multim. 23: 2273-2285 (2021) - [j38]Muhammad Tanveer, S. Sharma, K. Muhammad:
Large-Scale Least Squares Twin SVMs. ACM Trans. Internet Techn. 21(2): 29:1-29:19 (2021) - [j37]Zijie Yue, Shuai Ding, Lei Zhao, Youtao Zhang, Zehong Cao, Mohammad Tanveer, Alireza Jolfaei, Xi Zheng:
Privacy-preserving Time-series Medical Images Analysis Using a Hybrid Deep Learning Framework. ACM Trans. Internet Techn. 21(3): 57:1-57:21 (2021) - [j36]Bharat Richhariya, Mohammad Tanveer:
An Efficient Angle-based Universum Least Squares Twin Support Vector Machine for Classification. ACM Trans. Internet Techn. 21(3): 59:1-59:24 (2021) - [c17]Mohammad Tanveer, M. Tabish, Jatin Jangir:
Pinball Twin Bounded Support Vector Clustering. BHI 2021: 1-4 - [c16]M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Co-Trained Random Vector Functional Link Network. IJCNN 2021: 1-8 - [c15]Ashwani Kumar Malik, M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
A Novel Ensemble Method of RVFL For Classification Problem. IJCNN 2021: 1-8 - [c14]Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly:
RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection. IJCNN 2021: 1-6 - [i7]Mudasir A. Ganaie, Minghui Hu, Mohammad Tanveer, Ponnuthurai N. Suganthan:
Ensemble deep learning: A review. CoRR abs/2104.02395 (2021) - [i6]Mohammad Tanveer, T. Rajani, Reshma Rastogi, Yuan-Hai Shao:
Comprehensive Review On Twin Support Vector Machines. CoRR abs/2105.00336 (2021) - [i5]Mudasir A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan, Václav Snásel:
Oblique and rotation double random forest. CoRR abs/2111.02010 (2021) - 2020
- [j35]M. A. Ganaie, Muhammad Tanveer:
LSTSVM classifier with enhanced features from pre-trained functional link network. Appl. Soft Comput. 93: 106305 (2020) - [j34]Bharat Richhariya, Muhammad Tanveer, Ashraf Haroon Rashid, Alzheimer's Disease Neuroimaging Initiative:
Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE). Biomed. Signal Process. Control. 59: 101903 (2020) - [j33]Chandan Gautam, Aruna Tiwari, Muhammad Tanveer:
AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information. Cogn. Comput. 12(2): 412-425 (2020) - [j32]M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Oblique Decision Tree Ensemble via Twin Bounded SVM. Expert Syst. Appl. 143 (2020) - [j31]A. Gupta, Riyaj Uddin Khan, Vivek Kumar Singh, Muhammad Tanveer, D. Kumar, A. Chakraborti, Ram Bilas Pachori:
A novel approach for classification of mental tasks using multiview ensemble learning (MEL). Neurocomputing 417: 558-584 (2020) - [j30]Khan Muhammad, Tanveer Hussain, Muhammad Tanveer, Giovanna Sannino, Victor Hugo C. de Albuquerque:
Cost-Effective Video Summarization Using Deep CNN With Hierarchical Weighted Fusion for IoT Surveillance Networks. IEEE Internet Things J. 7(5): 4455-4463 (2020) - [j29]Qi Li, Zehong Cao, Muhammad Tanveer, Hari Mohan Pandey, Chen Wang:
A Semantic Collaboration Method Based on Uniform Knowledge Graph. IEEE Internet Things J. 7(5): 4473-4484 (2020) - [j28]Liming Fang, Yang Li, Xinyu Yun, Zhenyu Wen, Shouling Ji, Weizhi Meng, Zehong Cao, Muhammad Tanveer:
THP: A Novel Authentication Scheme to Prevent Multiple Attacks in SDN-Based IoT Network. IEEE Internet Things J. 7(7): 5745-5759 (2020) - [j27]Bharat Richhariya, Muhammad Tanveer, Alzheimer's Disease Neuroimaging Initiative:
Least squares projection twin support vector clustering (LSPTSVC). Inf. Sci. 533: 1-23 (2020) - [j26]Chandan Gautam, Pratik K. Mishra, Aruna Tiwari, Bharat Richhariya, Hari Mohan Pandey, Shuihua Wang, Muhammad Tanveer:
Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. Neural Networks 123: 191-216 (2020) - [j25]Bharat Richhariya, Muhammad Tanveer:
A reduced universum twin support vector machine for class imbalance learning. Pattern Recognit. 102: 107150 (2020) - [j24]Shamshe Alam, Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan, Muhammad Tanveer:
Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD). Pattern Recognit. Lett. 131: 268-276 (2020) - [j23]Bin Cao, Shanshan Fan, Jianwei Zhao, Po Yang, Khan Muhammad, Mohammad Tanveer:
Quantum-enhanced multiobjective large-scale optimization via parallelism. Swarm Evol. Comput. 57: 100697 (2020) - [j22]Liming Fang, Changchun Yin, Juncen Zhu, Chunpeng Ge, Muhammad Tanveer, Alireza Jolfaei, Zehong Cao:
Privacy Protection for Medical Data Sharing in Smart Healthcare. ACM Trans. Multim. Comput. Commun. Appl. 16(Special): 1-18 (2020) - [j21]Muhammad Tanveer, Bharat Richhariya, Riyaj Uddin Khan, Ashraf Haroon Rashid, Pritee Khanna, Mukesh Prasad, C. T. Lin:
Machine Learning Techniques for the Diagnosis of Alzheimer's Disease: A Review. ACM Trans. Multim. Comput. Commun. Appl. 16(Special): 1-35 (2020) - [c13]Minghui Hu, Qiushi Shi, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Adaptive Ensemble Variants of Random Vector Functional Link Networks. ICONIP (5) 2020: 30-37 - [c12]Ashraf Haroon Rashid, Imran Razzak, Muhammad Tanveer, Antonio Robles-Kelly:
RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents. ICONIP (5) 2020: 172-179 - [c11]M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Minimum Variance Embedded Random Vector Functional Link Network. ICONIP (5) 2020: 412-419 - [c10]M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Regularized robust fuzzy least squares twin support vector machine for class imbalance learning. IJCNN 2020: 1-8 - [c9]Bharat Richhariya, Muhammad Tanveer:
Universum least squares twin parametric-margin support vector machine. IJCNN 2020: 1-8 - [i4]M. A. Ganaie, Saptarshi Ghosh, Naveen Mendola, Muhammad Tanveer, Sarika Jalan:
Identification of Chimera using Machine Learning. CoRR abs/2001.08985 (2020)
2010 – 2019
- 2019
- [j20]Muhammad Tanveer, Aruna Tiwari, Rahul Choudhary, Sanchit Jalan:
Sparse pinball twin support vector machines. Appl. Soft Comput. 78: 164-175 (2019) - [j19]Muhammad Tanveer, Chandan Gautam, Ponnuthurai N. Suganthan:
Comprehensive evaluation of twin SVM based classifiers on UCI datasets. Appl. Soft Comput. 83 (2019) - [j18]Muhammad Tanveer, A. Sharma, Ponnuthurai N. Suganthan:
General twin support vector machine with pinball loss function. Inf. Sci. 494: 311-327 (2019) - [j17]Chandan Gautam, Aruna Tiwari, Muhammad Tanveer:
KOC+: Kernel ridge regression based one-class classification using privileged information. Inf. Sci. 504: 324-333 (2019) - [j16]Eric-Juwei Cheng, Kuang-Pen Chou, Shantanu Rajora, Bo-Hao Jin, Muhammad Tanveer, Chin-Teng Lin, Kuu-Young Young, Wen-Chieh Lin, Mukesh Prasad:
Deep Sparse Representation Classifier for facial recognition and detection system. Pattern Recognit. Lett. 125: 71-77 (2019) - [c8]Zehong Cao, Yu-Cheng Chang, Mukesh Prasad, Muhammad Tanveer, Chin-Teng Lin:
Tensor Decomposition for EEG Signals Retrieval. SMC 2019: 2423-2427 - [c7]Muhammad Tanveer, T. Rajani, M. A. Ganaie:
Improved Sparse Pinball Twin SVM. SMC 2019: 3287-3291 - [i3]Chandan Gautam, Aruna Tiwari, Muhammad Tanveer:
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification). CoRR abs/1904.06491 (2019) - [i2]Chandan Gautam, Aruna Tiwari, Muhammad Tanveer:
OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based One-class Classification using Privileged Information). CoRR abs/1904.08338 (2019) - [i1]Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Random Vector Functional Link Neural Network based Ensemble Deep Learning. CoRR abs/1907.00350 (2019) - 2018
- [j15]Bharat Richhariya, Muhammad Tanveer:
A robust fuzzy least squares twin support vector machine for class imbalance learning. Appl. Soft Comput. 71: 418-432 (2018) - [j14]Bharat Richhariya, Muhammad Tanveer:
EEG signal classification using universum support vector machine. Expert Syst. Appl. 106: 169-182 (2018) - [c6]Deepthi Badarinath, Chaitra S, Neha Bharill, Muhammad Tanveer, Mukesh Prasad, H. N. Suma, Abhishek M. Appaji, Anand Vinekar:
Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening. IJCNN 2018: 1-6 - [c5]Swastik Gupta, Konduri Hari Krishna, Ram Bilas Pachori, Muhammad Tanveer:
Fourier-Bessel series expansion based technique for automated classification of focal and non-focal EEG signals. IJCNN 2018: 1-6 - [c4]Muhammad Tanveer, Akshansh Gupta, Dhirendra Kumar, Saumya Priyadarshini, Anirban Chakraborti, Rammohan Mallipeddi:
Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform. SMC 2018: 1761-1766 - [c3]Muhammad Tanveer, Ram Bilas Pachori, N. V. Angami:
Entropy based features in FAWT framework for automated detection of epileptic seizure EEG signals. SSCI 2018: 1946-1952 - [c2]Bharat Richhariya, A. Sharma, Muhammad Tanveer:
Improved universum twin support vector machine. SSCI 2018: 2045-2052 - [c1]Muhammad Tanveer, Ram Bilas Pachori, N. V. Angami:
Classification of seizure and seizure-free EEG signals using Hjorth parameters. SSCI 2018: 2180-2185 - 2017
- [j13]Muhammad Tanveer, K. Shubham:
A regularization on Lagrangian twin support vector regression. Int. J. Mach. Learn. Cybern. 8(3): 807-821 (2017) - 2016
- [j12]Muhammad Tanveer, K. Shubham, Mujahed Aldhaifallah, K. S. Nisar:
An efficient implicit regularized Lagrangian twin support vector regression. Appl. Intell. 44(4): 831-848 (2016) - [j11]Muhammad Tanveer, Mohammad Asif Khan, Shen-Shyang Ho:
Robust energy-based least squares twin support vector machines. Appl. Intell. 45(1): 174-186 (2016) - [j10]Muhammad Tanveer, Mohit Mangal, Izhar Ahmad, Yuan-Hai Shao:
One norm linear programming support vector regression. Neurocomputing 173: 1508-1518 (2016) - [j9]Muhammad Tanveer, K. Shubham, Mujahed Aldhaifallah, Shen-Shyang Ho:
An efficient regularized K-nearest neighbor based weighted twin support vector regression. Knowl. Based Syst. 94: 70-87 (2016) - 2015
- [j8]Muhammad Tanveer:
Robust and Sparse Linear Programming Twin Support Vector Machines. Cogn. Comput. 7(1): 137-149 (2015) - [j7]Muhammad Tanveer:
Application of smoothing techniques for linear programming twin support vector machines. Knowl. Inf. Syst. 45(1): 191-214 (2015) - [j6]Muhammad Tanveer:
Newton method for implicit Lagrangian twin support vector machines. Int. J. Mach. Learn. Cybern. 6(6): 1029-1040 (2015) - 2014
- [j5]Muhammad Tanveer:
Note on some recent fixed point theorems in fuzzy metric spaces. J. Intell. Fuzzy Syst. 26(2): 811-814 (2014) - 2013
- [j4]S. Balasundaram, Muhammad Tanveer:
Smooth Newton method for implicit Lagrangian twin support vector regression. Int. J. Knowl. Based Intell. Eng. Syst. 17(4): 267-278 (2013) - [j3]S. Balasundaram, Muhammad Tanveer:
On Lagrangian twin support vector regression. Neural Comput. Appl. 22(Supplement-1): 257-267 (2013) - 2012
- [j2]S. Balasundaram, Muhammad Tanveer:
On proximal bilateral-weighted fuzzy support vector machine classifiers. Int. J. Adv. Intell. Paradigms 4(3/4): 199-210 (2012) - 2011
- [j1]M. Imdad, Javid Ali, Muhammad Tanveer:
Remarks on some recent metrical common fixed point theorems. Appl. Math. Lett. 24(7): 1165-1169 (2011)
Coauthor Index
M. A. Ganaie
aka: Mudasir A. Ganaie
aka: Mudasir A. Ganaie
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