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ORCIDMuhammad Tanveer 0001
Mohammad Tanveer 0001 – M. 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 Agriculture Faisalabad, Department of Mathematics and Statistics, Pakistan (and 1 more) - Muhammad Tanveer 0003 — Government College University Lahore, Pakistan
- Mohammad Tanveer 0002 — College of Fisheries Engineering, Department of Aquacultural Engineering, Nagapattinam, India
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Journal Articles
- 2025
[j146]Mushir Akhtar, Muhammad Tanveer, Mohd. Arshad:
HawkEye: A robust loss function for regression with bounded, smooth, and insensitive zone characteristics. Appl. Soft Comput. 176: 113118 (2025)- [j145]Tripti Goel, Shradha Verma, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Alzheimer's disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier. Inf. Fusion 118: 102917 (2025) - [j144]Muhammad Tanveer, R. K. Sharma, M. Sajid, Abdul Quadir:
GRVFL-MV: Graph random vector functional link based on multi-view learning. Inf. Sci. 704: 121947 (2025) - [j143]Anuradha Kumari, Mushir Akhtar, Rupal Shah, Muhammad Tanveer:
Support matrix machine: A review. Neural Networks 181: 106767 (2025) - [j142]Abdul Quadir, Mushir Akhtar, Muhammad Tanveer:
Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles. Neural Networks 188: 107433 (2025) - [j141]Mushir Akhtar, M. Tanveer, Mohd. Arshad:
RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 149-160 (2025) - [j140]Anuradha Kumari, Muhammad Tanveer:
Enhancing robustness and sparsity: Least squares one-class support vector machine. Pattern Recognit. 167: 111691 (2025) - [j139]Rahul Sharma, Tripti Goel, M. Tanveer, Mujahed Aldhaifallah:
Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine. IEEE Trans. Emerg. Top. Comput. Intell. 9(2): 1281-1291 (2025) - [j138]M. Sajid, M. Tanveer, Ponnuthurai N. Suganthan:
Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System. IEEE Trans. Fuzzy Syst. 33(1): 479-490 (2025) - [j137]Tripti Goel, Rahul Sharma, M. Tanveer, Ponnuthurai N. Suganthan, Krishanu Maji, Raveendra Pilli:
Multimodal Neuroimaging Based Alzheimer's Disease Diagnosis Using Evolutionary RVFL Classifier. IEEE J. Biomed. Health Informatics 29(6): 3833-3841 (2025) - [j136]Ruobin Gao, Minghui Hu, Ruilin Li, Xuewen Luo, Ponnuthurai Nagaratnam Suganthan, Muhammad Tanveer:
Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 36(6): 10833-10843 (2025) - 2024
- [j135]Panos M. Pardalos, Hossein Moosaei, Milan Hladík, M. Tanveer:
An introduction to robust data analysis and its applications. Ann. Oper. Res. 339(3): 1073-1075 (2024) - [j134]M. Tanveer, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao, M. A. Ganaie:
Comprehensive review on twin support vector machines. Ann. Oper. Res. 339(3): 1223-1268 (2024) - [j133]M. A. Ganaie, Anuradha Kumari, Anouck Girard, Josephine Kasa-Vubu, M. Tanveer:
Diagnosis of Alzheimer's disease via Intuitionistic fuzzy least squares twin SVM. Appl. Soft Comput. 149(Part A): 110899 (2024) - [j132]Anuradha Kumari, Mushir Akhtar, Muhammad Tanveer, Mohd. Arshad:
Diagnosis of breast cancer using flexible pinball loss support vector machine. Appl. Soft Comput. 157: 111454 (2024) - [j131]S. A VaraPrasad, Tripti Goel, Muhammad Tanveer, R. Murugan:
An effective diagnosis of schizophrenia using kernel ridge regression-based optimized RVFL classifier. Appl. Soft Comput. 157: 111457 (2024) - [j130]Ishrat Nazeer, Saiyed Umer, Ranjeet Kumar Rout, M. Tanveer:
Artificial intelligence-based smart agricultural systems for saffron cultivation with integration of Unmanned Aerial Vehicle imagery and deep learning approaches. Comput. Electr. Eng. 119: 109542 (2024) - [j129]Shradha Verma, Tripti Goel, M. Tanveer:
Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications. Cogn. Comput. 16(4): 1992-2008 (2024) - [j128]P. Supriya Patro, Tripti Goel, S. A VaraPrasad, Muhammad Tanveer, R. Murugan:
Lightweight 3D Convolutional Neural Network for Schizophrenia Diagnosis Using MRI Images and Ensemble Bagging Classifier. Cogn. Comput. 16(4): 2019-2035 (2024) - [j127]Raveendra Pilli, Tripti Goel, R. Murugan, M. Tanveer:
Brain Age Estimation Using Universum Learning-Based Kernel Random Vector Functional Link Regression Network. Cogn. Comput. 16(6): 3186-3199 (2024) - [j126]Anuradha Kumari, Muhammad Tanveer:
LSTSVR+: Least square twin support vector regression with privileged information. Eng. Appl. Artif. Intell. 136: 108964 (2024) - [j125]Muhammad Tanveer, Ritik Mishra, Bharat Richhariya:
Enhancing class imbalance solutions: A projection-based fuzzy LS-TSVM approach. Neurocomputing 591: 127712 (2024) - [j124]Abdul Quadir, M. A. Ganaie, M. Tanveer:
Intuitionistic fuzzy generalized eigenvalue proximal support vector machine. Neurocomputing 608: 128258 (2024) - [j123]Muhammad Zafar Iqbal, Imran Razzak, Abdul Qayyum, Thanh Thi Nguyen, M. Tanveer, Arcot Sowmya:
Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality. Inf. Fusion 102: 102061 (2024) - [j122]Moona Mazher, Imran Razzak, Abdul Qayyum, Muhammad Tanveer, Susann Beier, Tariq Mahmood Khan, Steven A. Niederer:
Self-supervised spatial-temporal transformer fusion based federated framework for 4D cardiovascular image segmentation. Inf. Fusion 106: 102256 (2024) - [j121]Chandrajit Choudhury, Tripti Goel, M. Tanveer:
A coupled-GAN architecture to fuse MRI and PET image features for multi-stage classification of Alzheimer's disease. Inf. Fusion 109: 102415 (2024) - [j120]M. A. Ganaie, M. Tanveer, Iman Beheshti:
Brain age prediction using improved twin SVR. Neural Comput. Appl. 36(1): 53-63 (2024) - [j119]M. A. Ganaie, Anuradha Kumari, Ashwani Kumar Malik, M. Tanveer:
EEG signal classification using improved intuitionistic fuzzy twin support vector machines. Neural Comput. Appl. 36(1): 163-179 (2024) - [j118]Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, Muhammad Tanveer, Rajashree Nayak:
A survey on cancer detection via convolutional neural networks: Current challenges and future directions. Neural Networks 169: 637-659 (2024) - [j117]Abdul Quadir, Muhammad Tanveer:
Multiview learning with twin parametric margin SVM. Neural Networks 180: 106598 (2024) - [j116]Mushir Akhtar, Muhammad Tanveer, Mohd. Arshad:
Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach. Pattern Recognit. 155: 110637 (2024) - [j115]Raveendra Pilli, Tripti Goel, R. Murugan, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation. IEEE Trans. Cogn. Dev. Syst. 16(4): 1342-1351 (2024) - [j114]Ashwani Kumar Malik, M. A. Ganaie, M. Tanveer, Ponnuthurai N. Suganthan:
Extended Features Based Random Vector Functional Link Network for Classification Problem. IEEE Trans. Comput. Soc. Syst. 11(4): 4744-4753 (2024) - [j113]Ashwani Kumar Malik, M. A. Ganaie, M. Tanveer, Ponnuthurai N. Suganthan:
Alzheimer's Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network. IEEE Trans. Comput. Soc. Syst. 11(4): 4754-4765 (2024) - [j112]Mohammed Hassanin, Nour Moustafa, Imran Razzak, M. Tanveer, David G. A. Ormrod, Jill Slay:
Dynamic Hypersphere Embedding Scale Against Adversarial Attacks. IEEE Trans. Engineering Management 71: 12475-12486 (2024) - [j111]M. Sajid, Ashwani Kumar Malik, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems. IEEE Trans. Fuzzy Syst. 32(5): 2738-2749 (2024) - [j110]Anuradha Kumari, Muhammad Tanveer, Chin-Teng Lin:
Class Probability and Generalized Bell Fuzzy Twin SVM for Imbalanced Data. IEEE Trans. Fuzzy Syst. 32(5): 3037-3048 (2024) - [j109]M. Sajid, Ashwani Kumar Malik, Muhammad Tanveer:
Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers. IEEE Trans. Fuzzy Syst. 32(8): 4460-4469 (2024) - [j108]Anuradha Kumari, Muhammad Tanveer, Chin-Teng Lin:
Bell-Shaped Fuzzy Least Square Twin SVM With Biomedical Applications. IEEE Trans. Fuzzy Syst. 32(9): 5348-5358 (2024) - [j107]M. Tanveer, M. Sajid, Mushir Akhtar, Abdul Quadir, Tripti Goel, Aroof Aimen, Sushmita Mitra, Yu-Dong Zhang, Chin-Teng Lin, Javier Del Ser:
Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges. IEEE Trans. Fuzzy Syst. 32(10): 5477-5492 (2024) - [j106]Nehal Ahmad, Kuan-Ting Lai, Muhammad Tanveer:
Retinal Blood Vessel Tracking and Diameter Estimation via Gaussian Process With Rider Optimization Algorithm. IEEE J. Biomed. Health Informatics 28(3): 1173-1184 (2024) - [j105]M. A. Ganaie, M. Sajid, Ashwani Kumar Malik, M. Tanveer:
Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11671-11680 (2024) - [j104]Kuan-Hung Huang, Yao-Bang Huang, Yong-Xiang Lin, Kai-Lung Hua, M. Tanveer, Xuequan Lu, Imran Razzak:
GRA: Graph Representation Alignment for Semi-Supervised Action Recognition. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11896-11905 (2024) - [j103]Abdul Qayyum, Imran Razzak, Muhammad Tanveer, Moona Mazher:
Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction. ACM Trans. Multim. Comput. Commun. Appl. 20(2): 43:1-43:17 (2024) - [j102]M. Sajid, R. Sharma, Iman Beheshti, Muhammad Tanveer:
Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern. WIREs Data. Mining. Knowl. Discov. 14(5) (2024) - 2023
- [j101]M. A. Ganaie, Muhammad Tanveer, Jatin Jangir:
EEG signal classification via pinball universum twin support vector machine. Ann. Oper. Res. 328(1): 451-492 (2023) - [j100]Sanoar Hossain, Saiyed Umer, Ranjeet Kumar Rout, M. Tanveer:
Fine-grained image analysis for facial expression recognition using deep convolutional neural networks with bilinear pooling. Appl. Soft Comput. 134: 109997 (2023) - [j99]Ashwani Kumar Malik, Ruobin Gao, M. A. Ganaie, M. Tanveer, Ponnuthurai Nagaratnam Suganthan:
Random vector functional link network: Recent developments, applications, and future directions. Appl. Soft Comput. 143: 110377 (2023) - [j98]Anuradha Kumari, M. Tanveer, Alzheimer's Disease Neuroimaging Initiative:
Universum twin support vector machine with truncated pinball loss. Eng. Appl. Artif. Intell. 123(Part C): 106427 (2023) - [j97]Raveendra Pilli, Tripti Goel, R. Murugan, M. Tanveer:
Association of white matter volume with brain age classification using deep learning network and region wise analysis. Eng. Appl. Artif. Intell. 125: 106596 (2023) - [j96]M. Tanveer, Aryan Rastogi, Vardhan Paliwal, M. A. Ganaie, Ashwani Kumar Malik, Javier Del Ser, Chin-Teng Lin:
Ensemble deep learning in speech signal tasks: A review. Neurocomputing 550: 126436 (2023) - [j95]Muhammad Tanveer, M. A. Ganaie, Iman Beheshti, Tripti Goel, Nehal Ahmad, Kuan-Ting Lai, Kaizhu Huang, Yu-Dong Zhang, Javier Del Ser, Chin-Teng Lin:
Deep learning for brain age estimation: A systematic review. Inf. Fusion 96: 130-143 (2023) - [j94]Saiyed Umer, Alamgir Sardar, Ranjeet Kumar Rout, Muhammad Tanveer, Imran Razzak:
IoT-Enabled Multimodal Biometric Recognition System in Secure Environment. IEEE Internet Things J. 10(24): 21457-21466 (2023) - [j93]Shradha Verma, Tripti Goel, Muhammad Tanveer, Weiping Ding, Rahul Sharma, R. Murugan:
Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions. J. Ambient Intell. Humaniz. Comput. 14(5): 4795-4807 (2023) - [j92]N. Jagan Mohan, R. Murugan, Tripti Goel, Muhammad Tanveer, Parthapratim Roy:
An efficient microaneurysms detection approach in retinal fundus images. Int. J. Mach. Learn. Cybern. 14(4): 1235-1252 (2023) - [j91]Neha Gour, Muhammad Tanveer, Pritee Khanna:
Challenges for ocular disease identification in the era of artificial intelligence. Neural Comput. Appl. 35(31): 22887-22909 (2023) - [j90]Akshansh Gupta, Dhirendra Kumar, Hanuman Verma, Muhammad Tanveer, Javier Andreu-Perez, Chin-Teng Lin, Mukesh Prasad:
Recognition of multi-cognitive tasks from EEG signals using EMD methods. Neural Comput. Appl. 35(31): 22989-23006 (2023) - [j89]Hossein Moosaei, M. A. Ganaie, Milan Hladík, Muhammad Tanveer:
Inverse free reduced universum twin support vector machine for imbalanced data classification. Neural Networks 157: 125-135 (2023) - [j88]Jiun-Da Lin, Yue-Hua Han, Po-Han Huang, Julianne Tan, Jun-Cheng Chen, Muhammad Tanveer, Kai-Lung Hua:
DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing. Neural Networks 161: 83-91 (2023) - [j87]Rahul Sharma, Tripti Goel, Muhammad Tanveer, Chin-Teng Lin, R. Murugan:
Deep-Learning-Based Diagnosis and Prognosis of Alzheimer's Disease: A Comprehensive Review. IEEE Trans. Cogn. Dev. Syst. 15(3): 1123-1138 (2023) - [j86]Abdul Qayyum, Imran Razzak, M. Tanveer, Moona Mazher, Bandar Alhaqbani:
High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis. IEEE ACM Trans. Comput. Biol. Bioinform. 20(4): 2587-2597 (2023) - [j85]Mohammad Tanveer, M. A. Ganaie, A. Bhattacharjee, Chin-Teng Lin:
Intuitionistic Fuzzy Weighted Least Squares Twin SVMs. IEEE Trans. Cybern. 53(7): 4400-4409 (2023) - [j84]Mohammad Tanveer, Chin-Teng Lin, Chuan-Kang Ting, Javier Andreu-Perez:
Guest Editorial: Special Issue on Emerging Computational Intelligence Techniques to Address Challenges in Biomedical Data and Imaging. IEEE Trans. Emerg. Top. Comput. Intell. 7(2): 292-294 (2023) - [j83]Muhammad Tanveer, Chin-Teng Lin, Amit Kumar Singh:
Guest Editorial Advanced Machine Learning Algorithms for Biomedical Data and Imaging - Part II. IEEE J. Biomed. Health Informatics 27(1): 188-189 (2023) - [j82]Muhammad Tanveer, Jatin Jangir, M. A. Ganaie, Iman Beheshti, M. Tabish, Nikunj Chhabra:
Diagnosis of Schizophrenia: A Comprehensive Evaluation. IEEE J. Biomed. Health Informatics 27(3): 1185-1192 (2023) - [j81]Ashraf Haroon Rashid, Aditya Gupta, Jhalak 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. IEEE J. Biomed. Health Informatics 27(3): 1205-1213 (2023) - [j80]M. A. Ganaie, Muhammad Tanveer, Iman Beheshti:
Brain Age Prediction With Improved Least Squares Twin SVR. IEEE J. Biomed. Health Informatics 27(4): 1661-1669 (2023) - [j79]Budhadev Baral, Kartik Muduli, Shweta Jakhmola, Omkar Indari, Jatin Jangir, Ashraf Haroon Rashid, Suchita Jain, Amrut Kumar Mohapatra, Shubhransu Patro, Preetinanda Parida, Namrata Misra, Ambika Prasad Mohanty, Bikash R. Sahu, Ajay Kumar Jain, Selvakumar Elangovan, Hamendra Singh Parmar, Mohammad Tanveer, Nirmal Kumar Mohakud, Hem Chandra Jha:
Redefining Lobe-Wise Ground-Glass Opacity in COVID-19 Through Deep Learning and its Correlation With Biochemical Parameters. IEEE J. Biomed. Health Informatics 27(6): 2782-2793 (2023) - [j78]Rahul Sharma, Tripti Goel, Muhammad Tanveer, Ponnuthurai N. Suganthan, Imran Razzak, R. Murugan:
Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis. IEEE J. Biomed. Health Informatics 27(10): 4995-5003 (2023) - [j77]Chao-Lung Yang, Hendrik Tampubolon, Aji Setyoko, Kai-Lung Hua, Mohammad Tanveer, Wei Wei:
Secure and Privacy-Preserving Human Interaction Recognition of Pervasive Healthcare Monitoring. IEEE Trans. Netw. Sci. Eng. 10(5): 2439-2454 (2023) - [j76]Alamgir Sardar, Saiyed Umer, Ranjeet Kumar Rout, Shui-Hua Wang, M. Tanveer:
A Secure Face Recognition for IoT-enabled Healthcare System. ACM Trans. Sens. Networks 19(3): 52:1-52:23 (2023) - 2022
- [j75]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) - [j74]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) - [j73]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) - [j72]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 (2022) - [j71]M. A. Ganaie, Minghui Hu, Ashwani Kumar Malik, Muhammad Tanveer, Ponnuthurai N. Suganthan:
Ensemble deep learning: A review. Eng. Appl. Artif. Intell. 115: 105151 (2022) - [j70]Kanchan Jha, Sriparna Saha, Muhammad Tanveer:
Prediction of protein-protein interactions using stacked auto-encoder. Trans. Emerg. Telecommun. Technol. 33(10) (2022) - [j69]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) - [j68]Shubham Dwivedi, Tripti Goel, Muhammad Tanveer, R. Murugan, Rahul Sharma:
Multimodal Fusion-Based Deep Learning Network for Effective Diagnosis of Alzheimer's Disease. IEEE Multim. 29(2): 45-55 (2022) - [j67]Minghui Hu, Ruobin Gao, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Automated layer-wise solution for ensemble deep randomized feed-forward neural network. Neurocomputing 514: 137-147 (2022) - [j66]Mohammad Tanveer, Ashraf Haroon Rashid, Rahul Kumar, Balasubramanian Raman:
Parkinson's disease diagnosis using neural networks: Survey and comprehensive evaluation. Inf. Process. Manag. 59(3): 102909 (2022) - [j65]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) - [j64]Mohammad Tanveer, Aruna Tiwari, Rahul Choudhary, M. A. Ganaie:
Large-scale pinball twin support vector machines. Mach. Learn. 111(10): 3525-3548 (2022) - [j63]Shiwangi Mishra, Iman Beheshti, Muhammad Tanveer, Pritee Khanna:
3D Supervoxel based features for early detection of AD: A microscopic view to the brain MRI. Multim. Tools Appl. 81(16): 22481-22496 (2022) - [j62]Bharat Richhariya, Muhammad Tanveer:
A fuzzy universum least squares twin support vector machine (FULSTSVM). Neural Comput. Appl. 34(14): 11411-11422 (2022) - [j61]M. A. Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan, Václav Snásel:
Oblique and rotation double random forest. Neural Networks 153: 496-517 (2022) - [j60]Muhammad Tanveer, M. Tabish, Jatin Jangir:
Sparse Pinball Twin Bounded Support Vector Clustering. IEEE Trans. Comput. Soc. Syst. 9(6): 1820-1829 (2022) - [j59]Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin:
Distributed Semisupervised Fuzzy Regression With Interpolation Consistency Regularization. IEEE Trans. Fuzzy Syst. 30(8): 3125-3137 (2022) - [j58]Bin Cao, Jianwei Zhao, Xin Liu, Jaroslaw Arabas, Muhammad Tanveer, Amit Kumar Singh, Zhihan Lv:
Multiobjective Evolution of the Explainable Fuzzy Rough Neural Network With Gene Expression Programming. IEEE Trans. Fuzzy Syst. 30(10): 4190-4200 (2022) - [j57]M. A. Ganaie, Muhammad Tanveer, Chin-Teng Lin:
Large-Scale Fuzzy Least Squares Twin SVMs for Class Imbalance Learning. IEEE Trans. Fuzzy Syst. 30(11): 4815-4827 (2022) - [j56]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) - [j55]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) - [j54]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) - [j53]Muhammad Tanveer, Chin-Teng Lin, Amit Kumar Singh:
Guest Editorial Advanced Machine Learning Algorithms for Biomedical Data and Imaging. IEEE J. Biomed. Health Informatics 26(10): 4809-4813 (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]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) - [j46]Mohammad Tanveer, Sweta Sharma, Reshma Rastogi, Pritam Anand:
Sparse support vector machine with pinball loss. Trans. Emerg. Telecommun. Technol. 32(2) (2021) - [j45]Muhammad Tanveer, A. Sharma, Ponnuthurai N. Suganthan:
Least squares KNN-based weighted multiclass twin SVM. Neurocomputing 459: 454-464 (2021) - [j44]Hossein Moosaei, Saeed Ketabchi, Mohamad Razzaghi, Muhammad Tanveer:
Generalized Twin Support Vector Machines. Neural Process. Lett. 53(2): 1545-1564 (2021) - [j43]Qiushi Shi, Rakesh Katuwal, Ponnuthurai N. Suganthan, Muhammad Tanveer:
Random vector functional link neural network based ensemble deep learning. Pattern Recognit. 117: 107978 (2021) - [j42]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) - [j41]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) - [j40]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) - [j39]Muhammad Tanveer, Sandeep Sharma, Khan Muhammad:
Large-Scale Least Squares Twin SVMs. ACM Trans. Internet Techn. 21(2): 29:1-29:19 (2021) - [j38]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) - [j37]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) - [j36]Muhammad Tanveer, Tarun Gupta, Miten Shah:
Pinball Loss Twin Support Vector Clustering. ACM Trans. Multim. Comput. Commun. Appl. 17(2s): 63:1-63:23 (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, Dinesh K. 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]Muhammad Tanveer, Bharat Richhariya, Riyaj Uddin Khan, Ashraf Haroon Rashid, Pritee Khanna, Mukesh Prasad, Chin-Teng Lin:
Machine Learning Techniques for the Diagnosis of Alzheimer's Disease: A Review. ACM Trans. Multim. Comput. Commun. Appl. 16(1s): 30:1-30:35 (2020) - [j21]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(3s): 100:1-100:18 (2020) - 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) - 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) - 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, Kottakkaran Sooppy 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]Mohammad Imdad, Javid Ali, Muhammad Tanveer:
Remarks on some recent metrical common fixed point theorems. Appl. Math. Lett. 24(7): 1165-1169 (2011)
Conference and Workshop Papers
- 2024
- [c27]Mushir Akhtar, M. Tanveer, Mohd. Arshad:
GL-TSVM: A Robust and Smooth Twin Support Vector Machine with Guardian Loss Function. ICPR (2) 2024: 63-78 - [c26]Raveendra Pilli, Tripti Goel, R. Murugan, Muhammad Tanveer:
Brain Age Estimation of Alzheimer's and Parkinson's Affected Individuals Using Self-Attention Based Convolutional Neural Network. ICPR (4) 2024: 81-96 - [c25]Anuradha Kumari, Muhammad Tanveer:
Dual center based intuitionistic fuzzy plane based classifiers. IJCNN 2024: 1-8 - 2023
- [c24]Muhammad Tanveer, Shradha Verma, Rahul Sharma, Tripti Goel, Ponnuthurai N. Suganthan:
Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images. IJCNN 2023: 1-8 - 2022
- [c23]Anuradha Kumari, M. A. Ganaie, M. Tanveer:
Intuitionistic Fuzzy Universum Support Vector Machine. ICONIP (1) 2022: 236-247 - [c22]Ashwani Kumar Malik, Mudasir Ahmad Ganaie, M. Tanveer, Ponnuthurai N. Suganthan:
Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem. ICONIP (1) 2022: 248-259 - [c21]Nehal Ahmad, Mudasir Ahmad Ganaie, Ashwani Kumar Malik, Kuan-Ting Lai, M. Tanveer:
Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network. ICONIP (1) 2022: 600-611 - [c20]M. A. Ganaie, Muhammad Tanveer, Ashwani Kumar Malik, Ponnuthurai N. Suganthan:
Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information. IJCNN 2022: 1-8 - [c19]Ruobin Gao, Ponnuthurai N. Suganthan, Qin Zhou, Kum Fai Yuen, Muhammad Tanveer:
Echo state neural network based ensemble deep learning for short-term load forecasting. SSCI 2022: 277-284 - [c18]Ashwani Kumar Malik, M. A. Ganaie, Muhammad Tanveer:
Graph embedded intuitionistic fuzzy weighted random vector functional link network. SSCI 2022: 293-299 - 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 - 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 - 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, Taniya Rajani, M. A. Ganaie:
Improved Sparse Pinball Twin SVM. SMC 2019: 3287-3291 - 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
Editorship
- 2025
- [e9]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15286, Springer 2025, ISBN 978-981-96-6575-4 [contents] - [e8]Mufti Mahmud, Maryam Doborjeh, Kevin Kok Wai Wong, Andrew Chi Sing Leung, Zohreh Doborjeh, M. Tanveer:
Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15293, Springer 2025, ISBN 978-981-96-6598-3 [contents] - 2023
- [e7]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part IV. Communications in Computer and Information Science 1791, Springer 2023, ISBN 978-981-99-1638-2 [contents] - [e6]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V. Communications in Computer and Information Science 1792, Springer 2023, ISBN 978-981-99-1641-2 [contents] - [e5]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VI. Communications in Computer and Information Science 1793, Springer 2023, ISBN 978-981-99-1644-3 [contents] - [e4]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VII. Communications in Computer and Information Science 1794, Springer 2023, ISBN 978-981-99-1647-4 [contents] - [e3]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13623, Springer 2023, ISBN 978-3-031-30104-9 [contents] - [e2]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13624, Springer 2023, ISBN 978-3-031-30107-0 [contents] - [e1]Mohammad Tanveer, Sonali Agarwal, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13625, Springer 2023, ISBN 978-3-031-30110-0 [contents]
Informal and Other Publications
- 2025
- [i47]Abdul Quadir, M. Sajid, Muhammad Tanveer:
One Class Restricted Kernel Machines. CoRR abs/2502.10443 (2025) - [i46]Abdul Quadir, Muhammad Tanveer:
TRKM: Twin Restricted Kernel Machines for Classification and Regression. CoRR abs/2502.15759 (2025) - [i45]Abdul Quadir, M. Tanveer:
Randomized based restricted kernel machine for hyperspectral image classification. CoRR abs/2503.05837 (2025) - [i44]Ritik Mishra, Mushir Akhtar, M. Tanveer:
CI-RKM: A Class-Informed Approach to Robust Restricted Kernel Machines. CoRR abs/2504.11476 (2025) - [i43]Anuradha Kumari, Mushir Akhtar, Ponnuthurai Nagaratnam Suganthan, Muhammad Tanveer:
R^2VFL: A Robust Random Vector Functional Link Network with Huber-Weighted Framework. CoRR abs/2504.21069 (2025) - [i42]Flora Amato, Lingyu Qiu, Mohammad Tanveer, Salvatore Cuomo, Fabio Giampaolo, Francesco Piccialli:
Towards One-shot Federated Learning: Advances, Challenges, and Future Directions. CoRR abs/2505.02426 (2025) - 2024
- [i41]Mushir Akhtar, M. Tanveer, Mohd. Arshad:
Enhancing Efficiency and Robustness in Support Vector Regression with HawkEye Loss. CoRR abs/2401.16785 (2024) - [i40]Mushir Akhtar, Muhammad Tanveer, Mohd. Arshad:
Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach. CoRR abs/2404.18101 (2024) - [i39]M. Sajid, Rahul Sharma, Iman Beheshti, Muhammad Tanveer:
Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern. CoRR abs/2405.07070 (2024) - [i38]Abdul Quadir, M. A. Ganaie, M. Tanveer:
Intuitionistic Fuzzy Generalized Eigenvalue Proximal Support Vector Machine. CoRR abs/2408.01713 (2024) - [i37]Abdul Quadir, Muhammad Tanveer:
Multiview learning with twin parametric margin SVM. CoRR abs/2408.01981 (2024) - [i36]M. Sajid, Abdul Quadir, M. Tanveer:
Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function. CoRR abs/2408.02824 (2024) - [i35]Abdul Quadir, Mushir Akhtar, Muhammad Tanveer:
Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity Principles. CoRR abs/2408.06819 (2024) - [i34]Mushir Akhtar, Muhammad Tanveer, Mohd. Arshad:
GL-TSVM: A robust and smooth twin support vector machine with guardian loss function. CoRR abs/2408.16336 (2024) - [i33]Arnav Jain, Jasmer Singh Sanjotra, Harshvardhan Choudhary, Krish Agrawal, Rupal Shah, Rohan Jha, M. Sajid, Amir Hussain, Muhammad Tanveer:
LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement. CoRR abs/2409.02266 (2024) - [i32]Abdul Quadir, M. Sajid, Muhammad Tanveer:
Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins. CoRR abs/2409.02588 (2024) - [i31]Muhammad Tanveer, R. K. Sharma, M. Sajid, Abdul Quadir:
GRVFL-2V: Graph Random Vector Functional Link Based on Two-View Learning. CoRR abs/2409.04743 (2024) - [i30]M. Sajid, Abdul Quadir, Muhammad Tanveer:
GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing. CoRR abs/2409.16735 (2024) - [i29]Mushir Akhtar, Ritik Mishra, M. Tanveer, Mohd. Arshad:
Advancing RVFL networks: Robust classification with the HawkEye loss function. CoRR abs/2410.00510 (2024) - [i28]Abdul Quadir, M. Sajid, Muhammad Tanveer:
Granular Ball Twin Support Vector Machine. CoRR abs/2410.04774 (2024) - [i27]Abdul Quadir, M. Sajid, Mushir Akhtar, M. Tanveer, Ponnuthurai N. Suganthan:
Enhanced Feature Based Granular Ball Twin Support Vector Machine. CoRR abs/2410.05786 (2024) - [i26]Mushir Akhtar, Abdul Quadir, M. Tanveer, Mohd. Arshad:
Flexi-Fuzz least squares SVM for Alzheimer's diagnosis: Tackling noise, outliers, and class imbalance. CoRR abs/2410.14207 (2024) - [i25]M. Tanveer, R. K. Sharma, Abdul Quadir, M. Sajid:
Enhancing Robustness and Efficiency of Least Square Twin SVM via Granular Computing. CoRR abs/2410.17338 (2024) - [i24]Abdul Quadir, Muhammad Tanveer:
Intuitionistic Fuzzy Universum Twin Support Vector Machine for Imbalanced Data. CoRR abs/2410.20335 (2024) - [i23]M. Tanveer, Anushka Tiwari, Mushir Akhtar, Chin-Teng Lin:
Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach. CoRR abs/2411.17128 (2024) - 2023
- [i22]Shradha Verma, Tripti Goel, Muhammad Tanveer, Weiping Ding, Rahul Sharma, R. Murugan:
Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions. CoRR abs/2301.07496 (2023) - [i21]M. A. Ganaie, Muhammad Tanveer, Iman Beheshti, Nehal Ahmad, Ponnuthurai N. Suganthan:
Heterogeneous Oblique Double Random Forest. CoRR abs/2304.06788 (2023) - [i20]M. A. Ganaie, M. Sajid, Ashwani Kumar Malik, M. Tanveer:
Graph Embedded Intuitionistic Fuzzy RVFL for Class Imbalance Learning. CoRR abs/2307.07881 (2023) - [i19]M. Sajid, Ashwani Kumar Malik, M. Tanveer:
Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers. CoRR abs/2307.08713 (2023) - [i18]Mushir Akhtar, M. Tanveer, Mohd. Arshad:
RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning. CoRR abs/2309.02250 (2023) - [i17]Mohammad Tanveer, Ritik Mishra, Bharat Richhariya:
Projection based fuzzy least squares twin support vector machine for class imbalance problems. CoRR abs/2309.15886 (2023) - [i16]Anuradha Kumari, Mushir Akhtar, Rupal Shah, M. Tanveer:
Support matrix machine: A review. CoRR abs/2310.19717 (2023) - [i15]Anuradha Kumari, M. Tanveer:
TSVR+: Twin support vector regression with privileged information. CoRR abs/2312.02596 (2023) - 2022
- [i14]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) - [i13]Muhammad Tanveer, Jatin Jangir, M. A. Ganaie, Iman Beheshti, M. Tabish, Nikunj Chhabra:
Diagnosis of Schizophrenia: A comprehensive evaluation. CoRR abs/2203.11610 (2022) - [i12]Ashraf Haroon Rashid, Aditya Gupta, Jhalak 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) - [i11]Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin:
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization. CoRR abs/2209.09240 (2022) - [i10]P. Supriya Patro, Tripti Goel, S. A VaraPrasad, Muhammad Tanveer, R. Murugan:
Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier. CoRR abs/2211.02868 (2022) - [i9]Shradha Verma, Tripti Goel, Muhammad Tanveer:
Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications. CoRR abs/2211.04764 (2022) - [i8]Muhammad Tanveer, M. A. Ganaie, Iman Beheshti, Tripti Goel, Nehal Ahmad, Kuan-Ting Lai, Kaizhu Huang, Yu-Dong Zhang, Javier Del Ser, Chin-Teng Lin:
Deep Learning for Brain Age Estimation: A Systematic Review. CoRR abs/2212.03868 (2022) - 2021
- [i7]Mudasir Ahmad Ganaie, Minghui Hu, Mohammad Tanveer, Ponnuthurai N. Suganthan:
Ensemble deep learning: A review. CoRR abs/2104.02395 (2021) - [i6]Mohammad Tanveer, Taniya Rajani, Reshma Rastogi, Yuan-Hai Shao:
Comprehensive Review On Twin Support Vector Machines. CoRR abs/2105.00336 (2021) - [i5]Mudasir Ahmad Ganaie, Muhammad Tanveer, Ponnuthurai N. Suganthan, Václav Snásel:
Oblique and rotation double random forest. CoRR abs/2111.02010 (2021) - 2020
- [i4]M. A. Ganaie, Saptarshi Ghosh, Naveen Mendola, Muhammad Tanveer, Sarika Jalan:
Identification of Chimera using Machine Learning. CoRR abs/2001.08985 (2020) - 2019
- [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)
Coauthor Index
M. A. Ganaie 0001
aka: Mudasir Ahmad Ganaie
aka: Mudasir Ahmad Ganaie
Muhammad Imran Razzak
aka: Imran Razzak
aka: Imran Razzak
Ponnuthurai N. Suganthan
aka: Ponnuthurai Nagaratnam Suganthan
aka: Ponnuthurai Nagaratnam Suganthan
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For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-06-26 21:50 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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