Muhammad Tanveer

Orcid: 0000-0002-5727-3697

Affiliations:
  • Indian Institute of Technology, Indore, India
  • Nanyang Technological University, Singapore (2015 - 2016)
  • Deemed University, LNM Institute of Information Technology, Jaipur, India (2012 - 2015)
  • Jawaharlal Nehru University, New Delhi, India (until 2012)


According to our database1, Muhammad Tanveer authored at least 183 papers between 2011 and 2024.

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Bibliography

2024
Diagnosis of Alzheimer's disease via Intuitionistic fuzzy least squares twin SVM.
Appl. Soft Comput., December, 2024

Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges.
IEEE Trans. Fuzzy Syst., October, 2024

GRA: Graph Representation Alignment for Semi-Supervised Action Recognition.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Bell-Shaped Fuzzy Least Square Twin SVM With Biomedical Applications.
IEEE Trans. Fuzzy Syst., September, 2024

Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers.
IEEE Trans. Fuzzy Syst., August, 2024

Alzheimer's Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network.
IEEE Trans. Comput. Soc. Syst., August, 2024

Extended Features Based Random Vector Functional Link Network for Classification Problem.
IEEE Trans. Comput. Soc. Syst., August, 2024

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation.
IEEE Trans. Cogn. Dev. Syst., August, 2024

Comprehensive review on twin support vector machines.
Ann. Oper. Res., August, 2024

An introduction to robust data analysis and its applications.
Ann. Oper. Res., August, 2024

Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications.
Cogn. Comput., July, 2024

Lightweight 3D Convolutional Neural Network for Schizophrenia Diagnosis Using MRI Images and Ensemble Bagging Classifier.
Cogn. Comput., July, 2024

Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems.
IEEE Trans. Fuzzy Syst., May, 2024

Class Probability and Generalized Bell Fuzzy Twin SVM for Imbalanced Data.
IEEE Trans. Fuzzy Syst., May, 2024

Retinal Blood Vessel Tracking and Diameter Estimation via Gaussian Process With Rider Optimization Algorithm.
IEEE J. Biomed. Health Informatics, March, 2024

Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction.
ACM Trans. Multim. Comput. Commun. Appl., February, 2024

Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality.
Inf. Fusion, February, 2024

A survey on cancer detection via convolutional neural networks: Current challenges and future directions.
Neural Networks, January, 2024

Brain age prediction using improved twin SVR.
Neural Comput. Appl., January, 2024

EEG signal classification using improved intuitionistic fuzzy twin support vector machines.
Neural Comput. Appl., January, 2024

Dynamic Hypersphere Embedding Scale Against Adversarial Attacks.
IEEE Trans. Engineering Management, 2024

Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach.
Pattern Recognit., 2024

Multiview learning with twin parametric margin SVM.
Neural Networks, 2024

Self-supervised spatial-temporal transformer fusion based federated framework for 4D cardiovascular image segmentation.
Inf. Fusion, 2024

A coupled-GAN architecture to fuse MRI and PET image features for multi-stage classification of Alzheimer's disease.
Inf. Fusion, 2024

Enhancing class imbalance solutions: A projection-based fuzzy LS-TSVM approach.
Neurocomputing, 2024

Intuitionistic fuzzy generalized eigenvalue proximal support vector machine.
Neurocomputing, 2024

LSTSVR+: Least square twin support vector regression with privileged information.
Eng. Appl. Artif. Intell., 2024

Enhanced Feature Based Granular Ball Twin Support Vector Machine.
CoRR, 2024

Granular Ball Twin Support Vector Machine.
CoRR, 2024

Advancing RVFL networks: Robust classification with the HawkEye loss function.
CoRR, 2024

GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing.
CoRR, 2024

GRVFL-2V: Graph Random Vector Functional Link Based on Two-View Learning.
CoRR, 2024

Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins.
CoRR, 2024

LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement.
CoRR, 2024

GL-TSVM: A robust and smooth twin support vector machine with guardian loss function.
CoRR, 2024

Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity Principles.
CoRR, 2024

Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function.
CoRR, 2024

Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern.
CoRR, 2024

Enhancing Efficiency and Robustness in Support Vector Regression with HawkEye Loss.
CoRR, 2024

Artificial intelligence-based smart agricultural systems for saffron cultivation with integration of Unmanned Aerial Vehicle imagery and deep learning approaches.
Comput. Electr. Eng., 2024

An effective diagnosis of schizophrenia using kernel ridge regression-based optimized RVFL classifier.
Appl. Soft Comput., 2024

Diagnosis of breast cancer using flexible pinball loss support vector machine.
Appl. Soft Comput., 2024

Dual center based intuitionistic fuzzy plane based classifiers.
Proceedings of the International Joint Conference on Neural Networks, 2024

2023
Recognition of multi-cognitive tasks from EEG signals using EMD methods.
Neural Comput. Appl., November, 2023

Challenges for ocular disease identification in the era of artificial intelligence.
Neural Comput. Appl., November, 2023

Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis.
IEEE J. Biomed. Health Informatics, October, 2023

Deep-Learning-Based Diagnosis and Prognosis of Alzheimer's Disease: A Comprehensive Review.
IEEE Trans. Cogn. Dev. Syst., September, 2023

EEG signal classification via pinball universum twin support vector machine.
Ann. Oper. Res., September, 2023

A Secure Face Recognition for IoT-enabled Healthcare System.
ACM Trans. Sens. Networks, August, 2023

Deep learning for brain age estimation: A systematic review.
Inf. Fusion, August, 2023

Random vector functional link network: Recent developments, applications, and future directions.
Appl. Soft Comput., August, 2023

Redefining Lobe-Wise Ground-Glass Opacity in COVID-19 Through Deep Learning and its Correlation With Biochemical Parameters.
IEEE J. Biomed. Health Informatics, June, 2023

Brain Age Prediction With Improved Least Squares Twin SVR.
IEEE J. Biomed. Health Informatics, April, 2023

Guest Editorial: Special Issue on Emerging Computational Intelligence Techniques to Address Challenges in Biomedical Data and Imaging.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2023

DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing.
Neural Networks, April, 2023

An efficient microaneurysms detection approach in retinal fundus images.
Int. J. Mach. Learn. Cybern., April, 2023

Diagnosis of Schizophrenia: A Comprehensive Evaluation.
IEEE J. Biomed. Health Informatics, March, 2023

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, March, 2023

Fine-grained image analysis for facial expression recognition using deep convolutional neural networks with bilinear pooling.
Appl. Soft Comput., February, 2023

Secure and Privacy-Preserving Human Interaction Recognition of Pervasive Healthcare Monitoring.
IEEE Trans. Netw. Sci. Eng., 2023

Guest Editorial Advanced Machine Learning Algorithms for Biomedical Data and Imaging - Part II.
IEEE J. Biomed. Health Informatics, 2023

Intuitionistic Fuzzy Weighted Least Squares Twin SVMs.
IEEE Trans. Cybern., 2023

High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Inverse free reduced universum twin support vector machine for imbalanced data classification.
Neural Networks, 2023

Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions.
J. Ambient Intell. Humaniz. Comput., 2023

IoT-Enabled Multimodal Biometric Recognition System in Secure Environment.
IEEE Internet Things J., 2023

Ensemble deep learning in speech signal tasks: A review.
Neurocomputing, 2023

Association of white matter volume with brain age classification using deep learning network and region wise analysis.
Eng. Appl. Artif. Intell., 2023

Universum twin support vector machine with truncated pinball loss.
Eng. Appl. Artif. Intell., 2023

TSVR+: Twin support vector regression with privileged information.
CoRR, 2023

Support matrix machine: A review.
CoRR, 2023

Projection based fuzzy least squares twin support vector machine for class imbalance problems.
CoRR, 2023

RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning.
CoRR, 2023

Graph Embedded Intuitionistic Fuzzy RVFL for Class Imbalance Learning.
CoRR, 2023

Heterogeneous Oblique Double Random Forest.
CoRR, 2023

Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning.
IEEE J. Biomed. Health Informatics, 2022

Guest Editorial Advanced Machine Learning Algorithms for Biomedical Data and Imaging.
IEEE J. Biomed. Health Informatics, 2022

Lightweight Face Anti-Spoofing Network for Telehealth Applications.
IEEE J. Biomed. Health Informatics, 2022

Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation.
IEEE J. Biomed. Health Informatics, 2022

Distributed Semisupervised Fuzzy Regression With Interpolation Consistency Regularization.
IEEE Trans. Fuzzy Syst., 2022

Large-Scale Fuzzy Least Squares Twin SVMs for Class Imbalance Learning.
IEEE Trans. Fuzzy Syst., 2022

Multiobjective Evolution of the Explainable Fuzzy Rough Neural Network With Gene Expression Programming.
IEEE Trans. Fuzzy Syst., 2022

Sparse Pinball Twin Bounded Support Vector Clustering.
IEEE Trans. Comput. Soc. Syst., 2022

Oblique and rotation double random forest.
Neural Networks, 2022

A fuzzy universum least squares twin support vector machine (FULSTSVM).
Neural Comput. Appl., 2022

3D Supervoxel based features for early detection of AD: A microscopic view to the brain MRI.
Multim. Tools Appl., 2022

Large-scale pinball twin support vector machines.
Mach. Learn., 2022

KNN weighted reduced universum twin SVM for class imbalance learning.
Knowl. Based Syst., 2022

Parkinson's disease diagnosis using neural networks: Survey and comprehensive evaluation.
Inf. Process. Manag., 2022

Automated layer-wise solution for ensemble deep randomized feed-forward neural network.
Neurocomputing, 2022

Multimodal Fusion-Based Deep Learning Network for Effective Diagnosis of Alzheimer's Disease.
IEEE Multim., 2022

XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks.
Future Gener. Comput. Syst., 2022

Prediction of protein-protein interactions using stacked auto-encoder.
Trans. Emerg. Telecommun. Technol., 2022

Ensemble deep learning: A review.
Eng. Appl. Artif. Intell., 2022

Fuzzy Logic in Surveillance Big Video Data Analysis: Comprehensive Review, Challenges, and Research Directions.
ACM Comput. Surv., 2022

Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization.
CoRR, 2022

Regularized Least Squares Twin SVM for Multiclass Classification.
Big Data Res., 2022

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., 2022

Spatio-Temporal Self-Attention Network for Fire Detection and Segmentation in Video Surveillance.
IEEE Access, 2022

Graph embedded intuitionistic fuzzy weighted random vector functional link network.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Echo state neural network based ensemble deep learning for short-term load forecasting.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information.
Proceedings of the International Joint Conference on Neural Networks, 2022

Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Intuitionistic Fuzzy Universum Support Vector Machine.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021
Pinball Loss Twin Support Vector Clustering.
ACM Trans. Multim. Comput. Commun. Appl., 2021

Privacy-preserving Time-series Medical Images Analysis Using a Hybrid Deep Learning Framework.
ACM Trans. Internet Techn., 2021

Large-Scale Least Squares Twin SVMs.
ACM Trans. Internet Techn., 2021

An Efficient Angle-based Universum Least Squares Twin Support Vector Machine for Classification.
ACM Trans. Internet Techn., 2021

Enabling Artistic Control Over Pattern Density and Stroke Strength.
IEEE Trans. Multim., 2021

Neural Style Palette: A Multimodal and Interactive Style Transfer From a Single Style Image.
IEEE Trans. Multim., 2021

Sparse Twin Support Vector Clustering Using Pinball Loss.
IEEE J. Biomed. Health Informatics, 2021

Random vector functional link neural network based ensemble deep learning.
Pattern Recognit., 2021

Generalized Twin Support Vector Machines.
Neural Process. Lett., 2021

Least squares KNN-based weighted multiclass twin SVM.
Neurocomputing, 2021

Sparse support vector machine with pinball loss.
Trans. Emerg. Telecommun. Technol., 2021

A novel method for the classification of Alzheimer's disease from normal controls using magnetic resonance imaging.
Expert Syst. J. Knowl. Eng., 2021

Comprehensive Review On Twin Support Vector Machines.
CoRR, 2021

Ensemble deep learning: A review.
CoRR, 2021

Internet of Things attack detection using hybrid Deep Learning Model.
Comput. Commun., 2021

Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification.
Cogn. Comput., 2021

Ensemble of classification models with weighted functional link network.
Appl. Soft Comput., 2021

FAF-DRVFL: Fuzzy activation function based deep random vector functional links network for early diagnosis of Alzheimer disease.
Appl. Soft Comput., 2021

Fuzzy least squares projection twin support vector machines for class imbalance learning.
Appl. Soft Comput., 2021

RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection.
Proceedings of the International Joint Conference on Neural Networks, 2021

A Novel Ensemble Method of RVFL For Classification Problem.
Proceedings of the International Joint Conference on Neural Networks, 2021

Co-Trained Random Vector Functional Link Network.
Proceedings of the International Joint Conference on Neural Networks, 2021

Pinball Twin Bounded Support Vector Clustering.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Machine Learning Techniques for the Diagnosis of Alzheimer's Disease: A Review.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Privacy Protection for Medical Data Sharing in Smart Healthcare.
ACM Trans. Multim. Comput. Commun. Appl., 2020

Quantum-enhanced multiobjective large-scale optimization via parallelism.
Swarm Evol. Comput., 2020

Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD).
Pattern Recognit. Lett., 2020

A reduced universum twin support vector machine for class imbalance learning.
Pattern Recognit., 2020

Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data.
Neural Networks, 2020

Least squares projection twin support vector clustering (LSPTSVC).
Inf. Sci., 2020

Cost-Effective Video Summarization Using Deep CNN With Hierarchical Weighted Fusion for IoT Surveillance Networks.
IEEE Internet Things J., 2020

A Semantic Collaboration Method Based on Uniform Knowledge Graph.
IEEE Internet Things J., 2020

THP: A Novel Authentication Scheme to Prevent Multiple Attacks in SDN-Based IoT Network.
IEEE Internet Things J., 2020

A novel approach for classification of mental tasks using multiview ensemble learning (MEL).
Neurocomputing, 2020

Oblique Decision Tree Ensemble via Twin Bounded SVM.
Expert Syst. Appl., 2020

Identification of Chimera using Machine Learning.
CoRR, 2020

AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information.
Cogn. Comput., 2020

Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE).
Biomed. Signal Process. Control., 2020

LSTSVM classifier with enhanced features from pre-trained functional link network.
Appl. Soft Comput., 2020

Universum least squares twin parametric-margin support vector machine.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Regularized robust fuzzy least squares twin support vector machine for class imbalance learning.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Adaptive Ensemble Variants of Random Vector Functional Link Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Minimum Variance Embedded Random Vector Functional Link Network.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019
Deep Sparse Representation Classifier for facial recognition and detection system.
Pattern Recognit. Lett., 2019

General twin support vector machine with pinball loss function.
Inf. Sci., 2019

KOC+: Kernel ridge regression based one-class classification using privileged information.
Inf. Sci., 2019

Random Vector Functional Link Neural Network based Ensemble Deep Learning.
CoRR, 2019

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, 2019

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, 2019

Sparse pinball twin support vector machines.
Appl. Soft Comput., 2019

Comprehensive evaluation of twin SVM based classifiers on UCI datasets.
Appl. Soft Comput., 2019

Improved Sparse Pinball Twin SVM.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Tensor Decomposition for EEG Signals Retrieval.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

2018
EEG signal classification using universum support vector machine.
Expert Syst. Appl., 2018

A robust fuzzy least squares twin support vector machine for class imbalance learning.
Appl. Soft Comput., 2018

Classification of seizure and seizure-free EEG signals using Hjorth parameters.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Entropy based features in FAWT framework for automated detection of epileptic seizure EEG signals.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Improved universum twin support vector machine.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Fourier-Bessel series expansion based technique for automated classification of focal and non-focal EEG signals.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017
A regularization on Lagrangian twin support vector regression.
Int. J. Mach. Learn. Cybern., 2017

2016
An efficient regularized K-nearest neighbor based weighted twin support vector regression.
Knowl. Based Syst., 2016

One norm linear programming support vector regression.
Neurocomputing, 2016

An efficient implicit regularized Lagrangian twin support vector regression.
Appl. Intell., 2016

Robust energy-based least squares twin support vector machines.
Appl. Intell., 2016

2015
Newton method for implicit Lagrangian twin support vector machines.
Int. J. Mach. Learn. Cybern., 2015

Application of smoothing techniques for linear programming twin support vector machines.
Knowl. Inf. Syst., 2015

Robust and Sparse Linear Programming Twin Support Vector Machines.
Cogn. Comput., 2015

2014
Note on some recent fixed point theorems in fuzzy metric spaces.
J. Intell. Fuzzy Syst., 2014

2013
On Lagrangian twin support vector regression.
Neural Comput. Appl., 2013

Smooth Newton method for implicit Lagrangian twin support vector regression.
Int. J. Knowl. Based Intell. Eng. Syst., 2013

2012
On proximal bilateral-weighted fuzzy support vector machine classifiers.
Int. J. Adv. Intell. Paradigms, 2012

2011
Remarks on some recent metrical common fixed point theorems.
Appl. Math. Lett., 2011


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