Hypergraph neural network with state space models for node classification. - Quadir, Abdul; Tanveer, M. (Eng. Appl. Artif. Intell., 2026)

Towards one-shot federated learning: Advances, challenges, and future directions. - Amato, Flora; Qiu, Lingyu; Tanveer, Muhammad; Cuomo, Salvatore; Annunziata, Daniela; Giampaolo, Fabio; Piccialli, Francesco (Neurocomputing, 2026)

GULSTSVM: A fusion of graph information and universum learning in twin SVM. - Richhariya, Bharat; Tanveer, M.; Ding, Weiping (Inf. Fusion, 2026)

Exploring the white matter disruptions for Schizophrenia based on convolutional ensemble kernel randomized network. - VaraPrasad, S. A; Goel, Tripti; Tanveer, M. (Neural Networks, 2026)

Shallow and ensemble deep randomized neural network for anomaly detection. - Kumari, Anuradha; Malik, Ashwani Kumar; Tanveer, M.; Suganthan, Ponnuthurai N. (Neural Networks, 2026)

TRKM: Twin restricted kernel machines for classification and regression. - Quadir, Abdul; Tanveer, Muhammad (Neural Networks, 2026)

Enhancing robustness and efficiency of least square twin SVM via granular computing. - Tanveer, Muhammad; Sharma, R. K.; Quadir, Abdul; Sajid, M. (Pattern Recognit., 2026)

Towards robust and inversion-free randomized neural networks: The XG-RVFL framework. - Akhtar, Mushir; Kumari, Anuradha; Sajid, M.; Quadir, Abdul; Arshad, Mohd.; Suganthan, Ponnuthurai N.; Tanveer, Muhammad (Pattern Recognit., 2026)

BLS-CIL: Class Imbalance Broad Learning System via Dual Weighting and Layer Trimming. - Tanveer, Mohammad; Mishra, Akshat; Sajid, M.; Quadir, Abdul (Pattern Recognit., 2026)

Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part VII (Springer, 2026)

Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part X (Springer, 2026)

HawkEye: A robust loss function for regression with bounded, smooth, and insensitive zone characteristics. - Akhtar, Mushir; Tanveer, Muhammad; Arshad, Mohd. (Appl. Soft Comput., 2025)

Convolutional and ℓ21-norm neural network for bone age estimation. - Ganaie, M. A.; Jha, Rohan; Agrawal, Krish; Shah, Rupal; Girard, Anouck; Kasa-Vubu, Josephine; Tanveer, M. (Appl. Soft Comput., 2025)

Alzheimer's disease diagnosis from MRI and SWI fused image using self adaptive differential evolutionary RVFL classifier. - Goel, Tripti; Verma, Shradha; Tanveer, Muhammad; Suganthan, Ponnuthurai N. (Inf. Fusion, 2025)

GRVFL-MV: Graph random vector functional link based on multi-view learning. - Tanveer, Muhammad; Sharma, R. K.; Sajid, M.; Quadir, Abdul (Inf. Sci., 2025)

Support matrix machine: A review. - Kumari, Anuradha; Akhtar, Mushir; Shah, Rupal; Tanveer, Muhammad (Neural Networks, 2025)

Enhancing multiview synergy: Robust learning by exploiting the wave loss function with consensus and complementarity principles. - Quadir, Abdul; Akhtar, Mushir; Tanveer, Muhammad (Neural Networks, 2025)

RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning. - Akhtar, Mushir; Tanveer, M.; Arshad, Mohd. (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Enhancing robustness and sparsity: Least squares one-class support vector machine. - Kumari, Anuradha; Tanveer, Muhammad (Pattern Recognit., 2025)

Granular Ball Twin Support Vector Machine With Pinball Loss Function. - Quadir, Abdul; Tanveer, M. (IEEE Trans. Comput. Soc. Syst., 2025)

Alzheimer's Disease Diagnosis Using Ensemble of Random Weighted Features and Fuzzy Least Square Twin Support Vector Machine. - Sharma, Rahul; Goel, Tripti; Tanveer, M.; Aldhaifallah, Mujahed (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach. - Tanveer, Muhammad; Tiwari, Anushka; Akhtar, Mushir; Lin, Chin-Teng (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

Ensemble Deep Random Vector Functional Link Neural Network Based on Fuzzy Inference System. - Sajid, M.; Tanveer, M.; Suganthan, Ponnuthurai N. (IEEE Trans. Fuzzy Syst., 2025)

Multimodal Neuroimaging Based Alzheimer's Disease Diagnosis Using Evolutionary RVFL Classifier. - Goel, Tripti; Sharma, Rahul; Tanveer, M.; Suganthan, Ponnuthurai N.; Maji, Krishanu; Pilli, Raveendra (IEEE J. Biomed. Health Informatics, 2025)

Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting. - Gao, Ruobin; Hu, Minghui; Li, Ruilin; Luo, Xuewen; Suganthan, Ponnuthurai Nagaratnam; Tanveer, Muhammad (IEEE Trans. Neural Networks Learn. Syst., 2025)

Granular Ball Twin Support Vector Machine. - Quadir, Abdul; Sajid, M.; Tanveer, Mohammad (IEEE Trans. Neural Networks Learn. Syst., 2025)

l1 Regularization Based Random Vector Functional Link Network for Alzheimer's Disease Diagnosis. - Goel, Tripti; Pilli, Raveendra; Verma, Shradha; Tanveer, Muhammad; Murugan, R.; Suganthan, Ponnuthurai N. (2025)

R2VFL: A Robust Random Vector Functional Link Network with Huber-Weighted Framework. - Kumari, Anuradha; Akhtar, Mushir; Suganthan, Ponnuthurai N.; Tanveer, Muhammad (2025)

CI-RKM: A Class-Informed Approach to Robust Restricted Kernel Machines. - Mishra, Ritik; Akhtar, Mushir; Tanveer, M. (2025)

Twin Restricted Kernel Machines for Multiview Classification. - Quadir, Abdul; Sajid, M.; Akhtar, Mushir; Tanveer, Muhammad (2025)

RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets. - Sajid, M.; Akhtar, Mushir; Quadir, Abdul; Tanveer, M. (2025)

Robust Universum Twin Support Vector Machine for Imbalanced Data. - Tanveer, M.; Quadir, Abdul (2025)

Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part I (Springer, 2025)

Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part II (Springer, 2025)

Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part III (Springer, 2025)

Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part IV (Springer, 2025)

Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part V (Springer, 2025)

Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part VI (Springer, 2025)

Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part VIII (Springer, 2025)

Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part IX (Springer, 2025)

Neural Information Processing - 31st International Conference, ICONIP 2024, Auckland, New Zealand, December 2-6, 2024, Proceedings, Part XI (Springer, 2025)

One Class Restricted Kernel Machines. - Quadir, Abdul; Sajid, M.; Tanveer, Muhammad (CoRR, 2025)

TRKM: Twin Restricted Kernel Machines for Classification and Regression. - Quadir, Abdul; Tanveer, Muhammad (CoRR, 2025)

Randomized based restricted kernel machine for hyperspectral image classification. - Quadir, Abdul; Tanveer, M. (CoRR, 2025)

CI-RKM: A Class-Informed Approach to Robust Restricted Kernel Machines. - Mishra, Ritik; Akhtar, Mushir; Tanveer, M. (CoRR, 2025)

R^2VFL: A Robust Random Vector Functional Link Network with Huber-Weighted Framework. - Kumari, Anuradha; Akhtar, Mushir; Suganthan, Ponnuthurai Nagaratnam; Tanveer, Muhammad (CoRR, 2025)

Towards One-shot Federated Learning: Advances, Challenges, and Future Directions. - Amato, Flora; Qiu, Lingyu; Tanveer, Mohammad; Cuomo, Salvatore; Giampaolo, Fabio; Piccialli, Francesco (CoRR, 2025)

Hypergraph Neural Network with State Space Models for Node Classification. - Quadir, Abdul; Tanveer, M. (CoRR, 2025)

AUREXA-SE: Audio-Visual Unified Representation Exchange Architecture with Cross-Attention and Squeezeformer for Speech Enhancement. - Sajid, M.; Gupta, Deepanshu; Modi, Yash; Jain, Sanskriti; Ganji, Harshith Jai Surya; Rahaman, A.; Choudhary, Harshvardhan; Saleem, Nasir; Hussain, Amir; Tanveer, Muhammad (CoRR, 2025)

RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets. - Sajid, M.; Akhtar, Mushir; Quadir, Abdul; Tanveer, Muhammad (CoRR, 2025)

Twin Restricted Kernel Machines for Multiview Classification. - Quadir, Abdul; Sajid, M.; Akhtar, Mushir; Tanveer, Muhammad (CoRR, 2025)

An introduction to robust data analysis and its applications. - Pardalos, Panos M.; Moosaei, Hossein; Hladík, Milan; Tanveer, M. (Ann. Oper. Res., 2024)

Comprehensive review on twin support vector machines. - Tanveer, M.; Rajani, Taniya; Rastogi, Reshma; Shao, Yuan-Hai; Ganaie, M. A. (Ann. Oper. Res., 2024)

Diagnosis of Alzheimer's disease via Intuitionistic fuzzy least squares twin SVM. - Ganaie, M. A.; Kumari, Anuradha; Girard, Anouck; Kasa-Vubu, Josephine; Tanveer, M. (Appl. Soft Comput., 2024)

Diagnosis of breast cancer using flexible pinball loss support vector machine. - Kumari, Anuradha; Akhtar, Mushir; Tanveer, Muhammad; Arshad, Mohd. (Appl. Soft Comput., 2024)

An effective diagnosis of schizophrenia using kernel ridge regression-based optimized RVFL classifier. - VaraPrasad, S. A; Goel, Tripti; Tanveer, Muhammad; Murugan, R. (Appl. Soft Comput., 2024)

Artificial intelligence-based smart agricultural systems for saffron cultivation with integration of Unmanned Aerial Vehicle imagery and deep learning approaches. - Nazeer, Ishrat; Umer, Saiyed; Rout, Ranjeet Kumar; Tanveer, M. (Comput. Electr. Eng., 2024)

Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications. - Verma, Shradha; Goel, Tripti; Tanveer, M. (Cogn. Comput., 2024)

Lightweight 3D Convolutional Neural Network for Schizophrenia Diagnosis Using MRI Images and Ensemble Bagging Classifier. - Patro, P. Supriya; Goel, Tripti; VaraPrasad, S. A; Tanveer, Muhammad; Murugan, R. (Cogn. Comput., 2024)

Brain Age Estimation Using Universum Learning-Based Kernel Random Vector Functional Link Regression Network. - Pilli, Raveendra; Goel, Tripti; Murugan, R.; Tanveer, M. (Cogn. Comput., 2024)

LSTSVR+: Least square twin support vector regression with privileged information. - Kumari, Anuradha; Tanveer, Muhammad (Eng. Appl. Artif. Intell., 2024)

Enhancing class imbalance solutions: A projection-based fuzzy LS-TSVM approach. - Tanveer, Muhammad; Mishra, Ritik; Richhariya, Bharat (Neurocomputing, 2024)

Intuitionistic fuzzy generalized eigenvalue proximal support vector machine. - Quadir, Abdul; Ganaie, M. A.; Tanveer, M. (Neurocomputing, 2024)

Hybrid unsupervised paradigm based deformable image fusion for 4D CT lung image modality. - Iqbal, Muhammad Zafar; Razzak, Imran; Qayyum, Abdul; Nguyen, Thanh Thi; Tanveer, M.; Sowmya, Arcot (Inf. Fusion, 2024)

Self-supervised spatial-temporal transformer fusion based federated framework for 4D cardiovascular image segmentation. - Mazher, Moona; Razzak, Imran; Qayyum, Abdul; Tanveer, Muhammad; Beier, Susann; Khan, Tariq Mahmood; Niederer, Steven A. (Inf. Fusion, 2024)

A coupled-GAN architecture to fuse MRI and PET image features for multi-stage classification of Alzheimer's disease. - Choudhury, Chandrajit; Goel, Tripti; Tanveer, M. (Inf. Fusion, 2024)

Brain age prediction using improved twin SVR. - Ganaie, M. A.; Tanveer, M.; Beheshti, Iman (Neural Comput. Appl., 2024)

EEG signal classification using improved intuitionistic fuzzy twin support vector machines. - Ganaie, M. A.; Kumari, Anuradha; Malik, Ashwani Kumar; Tanveer, M. (Neural Comput. Appl., 2024)

A survey on cancer detection via convolutional neural networks: Current challenges and future directions. - Sharma, Pallabi; Nayak, Deepak Ranjan; Balabantaray, Bunil Kumar; Tanveer, Muhammad; Nayak, Rajashree (Neural Networks, 2024)

Multiview learning with twin parametric margin SVM. - Quadir, Abdul; Tanveer, Muhammad (Neural Networks, 2024)

Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach. - Akhtar, Mushir; Tanveer, Muhammad; Arshad, Mohd. (Pattern Recognit., 2024)

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation. - Pilli, Raveendra; Goel, Tripti; Murugan, R.; Tanveer, Muhammad; Suganthan, Ponnuthurai N. (IEEE Trans. Cogn. Dev. Syst., 2024)

Ensemble Deep Random Vector Functional Link Network Using Privileged Information for Alzheimer's Disease Diagnosis. - Ganaie, M. A.; Tanveer, M. (IEEE Trans. Comput. Biol. Bioinform., 2024)

Graph Embedded Ensemble Deep Randomized Network for Diagnosis of Alzheimer's Disease. - Malik, Ashwani Kumar; Tanveer, M. (IEEE Trans. Comput. Biol. Bioinform., 2024)

Extended Features Based Random Vector Functional Link Network for Classification Problem. - Malik, Ashwani Kumar; Ganaie, M. A.; Tanveer, M.; Suganthan, Ponnuthurai N. (IEEE Trans. Comput. Soc. Syst., 2024)

Alzheimer's Disease Diagnosis via Intuitionistic Fuzzy Random Vector Functional Link Network. - Malik, Ashwani Kumar; Ganaie, M. A.; Tanveer, M.; Suganthan, Ponnuthurai N. (IEEE Trans. Comput. Soc. Syst., 2024)

Dynamic Hypersphere Embedding Scale Against Adversarial Attacks. - Hassanin, Mohammed; Moustafa, Nour; Razzak, Imran; Tanveer, M.; Ormrod, David G. A.; Slay, Jill (IEEE Trans. Engineering Management, 2024)

Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems. - Sajid, M.; Malik, Ashwani Kumar; Tanveer, Muhammad; Suganthan, Ponnuthurai N. (IEEE Trans. Fuzzy Syst., 2024)

Class Probability and Generalized Bell Fuzzy Twin SVM for Imbalanced Data. - Kumari, Anuradha; Tanveer, Muhammad; Lin, Chin-Teng (IEEE Trans. Fuzzy Syst., 2024)

Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers. - Sajid, M.; Malik, Ashwani Kumar; Tanveer, Muhammad (IEEE Trans. Fuzzy Syst., 2024)

Bell-Shaped Fuzzy Least Square Twin SVM With Biomedical Applications. - Kumari, Anuradha; Tanveer, Muhammad; Lin, Chin-Teng (IEEE Trans. Fuzzy Syst., 2024)

Fuzzy Deep Learning for the Diagnosis of Alzheimer's Disease: Approaches and Challenges. - Tanveer, M.; Sajid, M.; Akhtar, Mushir; Quadir, Abdul; Goel, Tripti; Aimen, Aroof; Mitra, Sushmita; Zhang, Yu-Dong; Lin, Chin-Teng; Ser, Javier Del (IEEE Trans. Fuzzy Syst., 2024)

Retinal Blood Vessel Tracking and Diameter Estimation via Gaussian Process With Rider Optimization Algorithm. - Ahmad, Nehal; Lai, Kuan-Ting; Tanveer, Muhammad (IEEE J. Biomed. Health Informatics, 2024)

Graph Embedded Intuitionistic Fuzzy Random Vector Functional Link Neural Network for Class Imbalance Learning. - Ganaie, M. A.; Sajid, M.; Malik, Ashwani Kumar; Tanveer, M. (IEEE Trans. Neural Networks Learn. Syst., 2024)

GRA: Graph Representation Alignment for Semi-Supervised Action Recognition. - Huang, Kuan-Hung; Huang, Yao-Bang; Lin, Yong-Xiang; Hua, Kai-Lung; Tanveer, M.; Lu, Xuequan; Razzak, Imran (IEEE Trans. Neural Networks Learn. Syst., 2024)

Spontaneous Facial Behavior Analysis Using Deep Transformer-based Framework for Child-computer Interaction. - Qayyum, Abdul; Razzak, Imran; Tanveer, Muhammad; Mazher, Moona (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Decoding cognitive health using machine learning: A comprehensive evaluation for diagnosis of significant memory concern. - Sajid, M.; Sharma, R.; Beheshti, Iman; Tanveer, Muhammad (WIREs Data. Mining. Knowl. Discov., 2024)

Advancing RVFL Networks: Robust Classification with the HawkEye Loss Function. - Akhtar, Mushir; Mishra, Ritik; Tanveer, Muhammad; Arshad, Mohd. (2024)

Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function. - Sajid, M.; Quadir, Abdul; Tanveer, Muhammad (2024)

CaDT-Net: A Cascaded Deformable Transformer Network for Multiclass Breast Cancer Histopathological Image Classification. - Babita; Akash, Kadali Sri; Sajid, M.; Nayak, Deepak Ranjan; Tanveer, Muhammad (2024)

GL-TSVM: A Robust and Smooth Twin Support Vector Machine with Guardian Loss Function. - Akhtar, Mushir; Tanveer, M.; Arshad, Mohd. (2024)

Brain Age Estimation of Alzheimer's and Parkinson's Affected Individuals Using Self-Attention Based Convolutional Neural Network. - Pilli, Raveendra; Goel, Tripti; Murugan, R.; Tanveer, Muhammad (2024)

Dual center based intuitionistic fuzzy plane based classifiers. - Kumari, Anuradha; Tanveer, Muhammad (2024)

Enhancing Efficiency and Robustness in Support Vector Regression with HawkEye Loss. - Akhtar, Mushir; Tanveer, M.; Arshad, Mohd. (CoRR, 2024)

Advancing Supervised Learning with the Wave Loss Function: A Robust and Smooth Approach. - Akhtar, Mushir; Tanveer, Muhammad; Arshad, Mohd. (CoRR, 2024)

Decoding Cognitive Health Using Machine Learning: A Comprehensive Evaluation for Diagnosis of Significant Memory Concern. - Sajid, M.; Sharma, Rahul; Beheshti, Iman; Tanveer, Muhammad (CoRR, 2024)

Intuitionistic Fuzzy Generalized Eigenvalue Proximal Support Vector Machine. - Quadir, Abdul; Ganaie, M. A.; Tanveer, M. (CoRR, 2024)

Multiview learning with twin parametric margin SVM. - Quadir, Abdul; Tanveer, Muhammad (CoRR, 2024)

Wave-RVFL: A Randomized Neural Network Based on Wave Loss Function. - Sajid, M.; Quadir, Abdul; Tanveer, M. (CoRR, 2024)

Enhancing Multiview Synergy: Robust Learning by Exploiting the Wave Loss Function with Consensus and Complementarity Principles. - Quadir, Abdul; Akhtar, Mushir; Tanveer, Muhammad (CoRR, 2024)

GL-TSVM: A robust and smooth twin support vector machine with guardian loss function. - Akhtar, Mushir; Tanveer, Muhammad; Arshad, Mohd. (CoRR, 2024)

LSTMSE-Net: Long Short Term Speech Enhancement Network for Audio-visual Speech Enhancement. - Jain, Arnav; Sanjotra, Jasmer Singh; Choudhary, Harshvardhan; Agrawal, Krish; Shah, Rupal; Jha, Rohan; Sajid, M.; Hussain, Amir; Tanveer, Muhammad (CoRR, 2024)

Multiview Random Vector Functional Link Network for Predicting DNA-Binding Proteins. - Quadir, Abdul; Sajid, M.; Tanveer, Muhammad (CoRR, 2024)

GRVFL-2V: Graph Random Vector Functional Link Based on Two-View Learning. - Tanveer, Muhammad; Sharma, R. K.; Sajid, M.; Quadir, Abdul (CoRR, 2024)

GB-RVFL: Fusion of Randomized Neural Network and Granular Ball Computing. - Sajid, M.; Quadir, Abdul; Tanveer, Muhammad (CoRR, 2024)

Advancing RVFL networks: Robust classification with the HawkEye loss function. - Akhtar, Mushir; Mishra, Ritik; Tanveer, M.; Arshad, Mohd. (CoRR, 2024)

Granular Ball Twin Support Vector Machine. - Quadir, Abdul; Sajid, M.; Tanveer, Muhammad (CoRR, 2024)

Enhanced Feature Based Granular Ball Twin Support Vector Machine. - Quadir, Abdul; Sajid, M.; Akhtar, Mushir; Tanveer, M.; Suganthan, Ponnuthurai N. (CoRR, 2024)

Flexi-Fuzz least squares SVM for Alzheimer's diagnosis: Tackling noise, outliers, and class imbalance. - Akhtar, Mushir; Quadir, Abdul; Tanveer, M.; Arshad, Mohd. (CoRR, 2024)

Enhancing Robustness and Efficiency of Least Square Twin SVM via Granular Computing. - Tanveer, M.; Sharma, R. K.; Quadir, Abdul; Sajid, M. (CoRR, 2024)

Intuitionistic Fuzzy Universum Twin Support Vector Machine for Imbalanced Data. - Quadir, Abdul; Tanveer, Muhammad (CoRR, 2024)

Enhancing Imbalance Learning: A Novel Slack-Factor Fuzzy SVM Approach. - Tanveer, M.; Tiwari, Anushka; Akhtar, Mushir; Lin, Chin-Teng (CoRR, 2024)

EEG signal classification via pinball universum twin support vector machine. - Ganaie, M. A.; Tanveer, Muhammad; Jangir, Jatin (Ann. Oper. Res., 2023)

Fine-grained image analysis for facial expression recognition using deep convolutional neural networks with bilinear pooling. - Hossain, Sanoar; Umer, Saiyed; Rout, Ranjeet Kumar; Tanveer, M. (Appl. Soft Comput., 2023)

Random vector functional link network: Recent developments, applications, and future directions. - Malik, Ashwani Kumar; Gao, Ruobin; Ganaie, M. A.; Tanveer, M.; Suganthan, Ponnuthurai Nagaratnam (Appl. Soft Comput., 2023)

Universum twin support vector machine with truncated pinball loss. - Kumari, Anuradha; Tanveer, M.; Initiative, Alzheimer's Disease Neuroimaging (Eng. Appl. Artif. Intell., 2023)

Association of white matter volume with brain age classification using deep learning network and region wise analysis. - Pilli, Raveendra; Goel, Tripti; Murugan, R.; Tanveer, M. (Eng. Appl. Artif. Intell., 2023)

Ensemble deep learning in speech signal tasks: A review. - Tanveer, M.; Rastogi, Aryan; Paliwal, Vardhan; Ganaie, M. A.; Malik, Ashwani Kumar; Ser, Javier Del; Lin, Chin-Teng (Neurocomputing, 2023)

Deep learning for brain age estimation: A systematic review. - Tanveer, Muhammad; Ganaie, M. A.; Beheshti, Iman; Goel, Tripti; Ahmad, Nehal; Lai, Kuan-Ting; Huang, Kaizhu; Zhang, Yu-Dong; Ser, Javier Del; Lin, Chin-Teng (Inf. Fusion, 2023)

IoT-Enabled Multimodal Biometric Recognition System in Secure Environment. - Umer, Saiyed; Sardar, Alamgir; Rout, Ranjeet Kumar; Tanveer, Muhammad; Razzak, Imran (IEEE Internet Things J., 2023)

Machine learning techniques for the Schizophrenia diagnosis: a comprehensive review and future research directions. - Verma, Shradha; Goel, Tripti; Tanveer, Muhammad; Ding, Weiping; Sharma, Rahul; Murugan, R. (J. Ambient Intell. Humaniz. Comput., 2023)

An efficient microaneurysms detection approach in retinal fundus images. - Mohan, N. Jagan; Murugan, R.; Goel, Tripti; Tanveer, Muhammad; Roy, Parthapratim (Int. J. Mach. Learn. Cybern., 2023)

Challenges for ocular disease identification in the era of artificial intelligence. - Gour, Neha; Tanveer, Muhammad; Khanna, Pritee (Neural Comput. Appl., 2023)

Recognition of multi-cognitive tasks from EEG signals using EMD methods. - Gupta, Akshansh; Kumar, Dhirendra; Verma, Hanuman; Tanveer, Muhammad; Andreu-Perez, Javier; Lin, Chin-Teng; Prasad, Mukesh (Neural Comput. Appl., 2023)

Inverse free reduced universum twin support vector machine for imbalanced data classification. - Moosaei, Hossein; Ganaie, M. A.; Hladík, Milan; Tanveer, Muhammad (Neural Networks, 2023)

DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing. - Lin, Jiun-Da; Han, Yue-Hua; Huang, Po-Han; Tan, Julianne; Chen, Jun-Cheng; Tanveer, Muhammad; Hua, Kai-Lung (Neural Networks, 2023)

Deep-Learning-Based Diagnosis and Prognosis of Alzheimer's Disease: A Comprehensive Review. - Sharma, Rahul; Goel, Tripti; Tanveer, Muhammad; Lin, Chin-Teng; Murugan, R. (IEEE Trans. Cogn. Dev. Syst., 2023)

High-Density Electroencephalography and Speech Signal Based Deep Framework for Clinical Depression Diagnosis. - Qayyum, Abdul; Razzak, Imran; Tanveer, M.; Mazher, Moona; Alhaqbani, Bandar (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Intuitionistic Fuzzy Weighted Least Squares Twin SVMs. - Tanveer, Mohammad; Ganaie, M. A.; Bhattacharjee, A.; Lin, Chin-Teng (IEEE Trans. Cybern., 2023)

Guest Editorial: Special Issue on Emerging Computational Intelligence Techniques to Address Challenges in Biomedical Data and Imaging. - Tanveer, Mohammad; Lin, Chin-Teng; Ting, Chuan-Kang; Andreu-Perez, Javier (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Guest Editorial Advanced Machine Learning Algorithms for Biomedical Data and Imaging - Part II. - Tanveer, Muhammad; Lin, Chin-Teng; Singh, Amit Kumar (IEEE J. Biomed. Health Informatics, 2023)

Diagnosis of Schizophrenia: A Comprehensive Evaluation. - Tanveer, Muhammad; Jangir, Jatin; Ganaie, M. A.; Beheshti, Iman; Tabish, M.; Chhabra, Nikunj (IEEE J. Biomed. Health Informatics, 2023)

Biceph-Net: A Robust and Lightweight Framework for the Diagnosis of Alzheimer's Disease Using 2D-MRI Scans and Deep Similarity Learning. - Rashid, Ashraf Haroon; Gupta, Aditya; Gupta, Jhalak; Tanveer, Muhammad (IEEE J. Biomed. Health Informatics, 2023)

Brain Age Prediction With Improved Least Squares Twin SVR. - Ganaie, M. A.; Tanveer, Muhammad; Beheshti, Iman (IEEE J. Biomed. Health Informatics, 2023)

Redefining Lobe-Wise Ground-Glass Opacity in COVID-19 Through Deep Learning and its Correlation With Biochemical Parameters. - Baral, Budhadev; Muduli, Kartik; Jakhmola, Shweta; Indari, Omkar; Jangir, Jatin; Rashid, Ashraf Haroon; Jain, Suchita; Mohapatra, Amrut Kumar; Patro, Shubhransu; Parida, Preetinanda; Misra, Namrata; Mohanty, Ambika Prasad; et al. (IEEE J. Biomed. Health Informatics, 2023)

Conv-eRVFL: Convolutional Neural Network Based Ensemble RVFL Classifier for Alzheimer's Disease Diagnosis. - Sharma, Rahul; Goel, Tripti; Tanveer, Muhammad; Suganthan, Ponnuthurai N.; Razzak, Imran; Murugan, R. (IEEE J. Biomed. Health Informatics, 2023)

Secure and Privacy-Preserving Human Interaction Recognition of Pervasive Healthcare Monitoring. - Yang, Chao-Lung; Tampubolon, Hendrik; Setyoko, Aji; Hua, Kai-Lung; Tanveer, Mohammad; Wei, Wei (IEEE Trans. Netw. Sci. Eng., 2023)

A Secure Face Recognition for IoT-enabled Healthcare System. - Sardar, Alamgir; Umer, Saiyed; Rout, Ranjeet Kumar; Wang, Shui-Hua; Tanveer, M. (ACM Trans. Sens. Networks, 2023)

Weighted Kernel Ridge Regression based Randomized Network for Alzheimer's Disease Diagnosis using Susceptibility Weighted Images. - Tanveer, Muhammad; Verma, Shradha; Sharma, Rahul; Goel, Tripti; Suganthan, Ponnuthurai N. (2023)

Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part IV (Springer, 2023)

Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part V (Springer, 2023)

Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VI (Springer, 2023)

Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part VII (Springer, 2023)

Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part I (Springer, 2023)

Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part II (Springer, 2023)

Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part III (Springer, 2023)

Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions. - Verma, Shradha; Goel, Tripti; Tanveer, Muhammad; Ding, Weiping; Sharma, Rahul; Murugan, R. (CoRR, 2023)

Heterogeneous Oblique Double Random Forest. - Ganaie, M. A.; Tanveer, Muhammad; Beheshti, Iman; Ahmad, Nehal; Suganthan, Ponnuthurai N. (CoRR, 2023)

Graph Embedded Intuitionistic Fuzzy RVFL for Class Imbalance Learning. - Ganaie, M. A.; Sajid, M.; Malik, Ashwani Kumar; Tanveer, M. (CoRR, 2023)

Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers. - Sajid, M.; Malik, Ashwani Kumar; Tanveer, M. (CoRR, 2023)

RoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning. - Akhtar, Mushir; Tanveer, M.; Arshad, Mohd. (CoRR, 2023)

Projection based fuzzy least squares twin support vector machine for class imbalance problems. - Tanveer, Mohammad; Mishra, Ritik; Richhariya, Bharat (CoRR, 2023)

Support matrix machine: A review. - Kumari, Anuradha; Akhtar, Mushir; Shah, Rupal; Tanveer, M. (CoRR, 2023)

TSVR+: Twin support vector regression with privileged information. - Kumari, Anuradha; Tanveer, M. (CoRR, 2023)

Spatio-Temporal Self-Attention Network for Fire Detection and Segmentation in Video Surveillance. - Shahid, Mohammad; Virtusio, John Jethro; Wu, Yu-Hsien; Chen, Yung-Yao; Tanveer, Muhammad; Muhammad, Khan; Hua, Kai-Lung (IEEE Access, 2022)

FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer's disease using the sagittal plane of MRI scans. - Sharma, Rahul; Goel, Tripti; Tanveer, Muhammad; Murugan, R. (Appl. Soft Comput., 2022)

Regularized Least Squares Twin SVM for Multiclass Classification. - Ali, Javed; Aldhaifallah, Mujahed; Nisar, Kottakkaran Sooppy; Aljabr, Ahmad Abdullah; Tanveer, Mohammad (Big Data Res., 2022)

Fuzzy Logic in Surveillance Big Video Data Analysis: Comprehensive Review, Challenges, and Research Directions. - Muhammad, Khan; Obaidat, Mohammad S.; Hussain, Tanveer; Ser, Javier Del; Kumar, Neeraj; Tanveer, Muhammad; Doctor, Faiyaz (ACM Comput. Surv., 2022)

Ensemble deep learning: A review. - Ganaie, M. A.; Hu, Minghui; Malik, Ashwani Kumar; Tanveer, Muhammad; Suganthan, Ponnuthurai N. (Eng. Appl. Artif. Intell., 2022)

Prediction of protein-protein interactions using stacked auto-encoder. - Jha, Kanchan; Saha, Sriparna; Tanveer, Muhammad (Trans. Emerg. Telecommun. Technol., 2022)

XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks. - Khan, Izhar Ahmed; Moustafa, Nour; Razzak, Imran; Tanveer, Muhammad; Pi, Dechang; Pan, Yue; Ali, Bakht Sher (Future Gener. Comput. Syst., 2022)

Multimodal Fusion-Based Deep Learning Network for Effective Diagnosis of Alzheimer's Disease. - Dwivedi, Shubham; Goel, Tripti; Tanveer, Muhammad; Murugan, R.; Sharma, Rahul (IEEE Multim., 2022)

Automated layer-wise solution for ensemble deep randomized feed-forward neural network. - Hu, Minghui; Gao, Ruobin; Suganthan, Ponnuthurai N.; Tanveer, Muhammad (Neurocomputing, 2022)

Parkinson's disease diagnosis using neural networks: Survey and comprehensive evaluation. - Tanveer, Mohammad; Rashid, Ashraf Haroon; Kumar, Rahul; Raman, Balasubramanian (Inf. Process. Manag., 2022)

KNN weighted reduced universum twin SVM for class imbalance learning. - Ganaie, M. A.; Tanveer, Mohammad; Initiative, Alzheimer's Disease Neuroimaging (Knowl. Based Syst., 2022)

Large-scale pinball twin support vector machines. - Tanveer, Mohammad; Tiwari, Aruna; Choudhary, Rahul; Ganaie, M. A. (Mach. Learn., 2022)

3D Supervoxel based features for early detection of AD: A microscopic view to the brain MRI. - Mishra, Shiwangi; Beheshti, Iman; Tanveer, Muhammad; Khanna, Pritee (Multim. Tools Appl., 2022)

A fuzzy universum least squares twin support vector machine (FULSTSVM). - Richhariya, Bharat; Tanveer, Muhammad (Neural Comput. Appl., 2022)

Oblique and rotation double random forest. - Ganaie, M. A.; Tanveer, Muhammad; Suganthan, Ponnuthurai N.; Snásel, Václav (Neural Networks, 2022)

Sparse Pinball Twin Bounded Support Vector Clustering. - Tanveer, Muhammad; Tabish, M.; Jangir, Jatin (IEEE Trans. Comput. Soc. Syst., 2022)

Distributed Semisupervised Fuzzy Regression With Interpolation Consistency Regularization. - Shi, Ye; Zhang, Leijie; Cao, Zehong; Tanveer, Muhammad; Lin, Chin-Teng (IEEE Trans. Fuzzy Syst., 2022)

Multiobjective Evolution of the Explainable Fuzzy Rough Neural Network With Gene Expression Programming. - Cao, Bin; Zhao, Jianwei; Liu, Xin; Arabas, Jaroslaw; Tanveer, Muhammad; Singh, Amit Kumar; Lv, Zhihan (IEEE Trans. Fuzzy Syst., 2022)

Large-Scale Fuzzy Least Squares Twin SVMs for Class Imbalance Learning. - Ganaie, M. A.; Tanveer, Muhammad; Lin, Chin-Teng (IEEE Trans. Fuzzy Syst., 2022)

Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation. - Beheshti, Iman; Ganaie, M. A.; Paliwal, Vardhan; Rastogi, Aryan; Razzak, Imran; Tanveer, Muhammad (IEEE J. Biomed. Health Informatics, 2022)

Classification of Alzheimer's Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning. - Tanveer, Muhammad; Rashid, Ashraf Haroon; Ganaie, M. A.; Reza, Motahar; Razzak, Imran; Hua, Kai-Lung (IEEE J. Biomed. Health Informatics, 2022)

Lightweight Face Anti-Spoofing Network for Telehealth Applications. - Lin, Jiun-Da; Lin, Hung-Hsiang; Dy, Jilyan Bianca; Chen, Jun-Cheng; Tanveer, Mohammad; Razzak, Imran; Hua, Kai-Lung (IEEE J. Biomed. Health Informatics, 2022)

Guest Editorial Advanced Machine Learning Algorithms for Biomedical Data and Imaging. - Tanveer, Muhammad; Lin, Chin-Teng; Singh, Amit Kumar (IEEE J. Biomed. Health Informatics, 2022)

Intuitionistic Fuzzy Universum Support Vector Machine. - Kumari, Anuradha; Ganaie, M. A.; Tanveer, M. (2022)

Support Vector Machine Based Models with Sparse Auto-encoder Based Features for Classification Problem. - Malik, Ashwani Kumar; Ganaie, Mudasir Ahmad; Tanveer, M.; Suganthan, Ponnuthurai N. (2022)

Minimum Variance Embedded Intuitionistic Fuzzy Weighted Random Vector Functional Link Network. - Ahmad, Nehal; Ganaie, Mudasir Ahmad; Malik, Ashwani Kumar; Lai, Kuan-Ting; Tanveer, M. (2022)

Minimum Variance Embedded Random Vector Functional Link Network with Privileged Information. - Ganaie, M. A.; Tanveer, Muhammad; Malik, Ashwani Kumar; Suganthan, Ponnuthurai N. (2022)

Echo state neural network based ensemble deep learning for short-term load forecasting. - Gao, Ruobin; Suganthan, Ponnuthurai N.; Zhou, Qin; Yuen, Kum Fai; Tanveer, Muhammad (2022)

Graph embedded intuitionistic fuzzy weighted random vector functional link network. - Malik, Ashwani Kumar; Ganaie, M. A.; Tanveer, Muhammad (2022)

Random vector functional link network: recent developments, applications, and future directions. - Malik, Ashwani Kumar; Gao, Ruobin; Ganaie, M. A.; Tanveer, Muhammad; Suganthan, Ponnuthurai N. (CoRR, 2022)

Diagnosis of Schizophrenia: A comprehensive evaluation. - Tanveer, Muhammad; Jangir, Jatin; Ganaie, M. A.; Beheshti, Iman; Tabish, M.; Chhabra, Nikunj (CoRR, 2022)

Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning. - Rashid, Ashraf Haroon; Gupta, Aditya; Gupta, Jhalak; Tanveer, Muhammad (CoRR, 2022)

Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization. - Shi, Ye; Zhang, Leijie; Cao, Zehong; Tanveer, Muhammad; Lin, Chin-Teng (CoRR, 2022)

Lightweight 3D Convolutional Neural Network for Schizophrenia diagnosis using MRI Images and Ensemble Bagging Classifier. - Patro, P. Supriya; Goel, Tripti; VaraPrasad, S. A; Tanveer, Muhammad; Murugan, R. (CoRR, 2022)

Quantitative Susceptibility Mapping in Cognitive Decline: A Review of Technical Aspects and Applications. - Verma, Shradha; Goel, Tripti; Tanveer, Muhammad (CoRR, 2022)

Deep Learning for Brain Age Estimation: A Systematic Review. - Tanveer, Muhammad; Ganaie, M. A.; Beheshti, Iman; Goel, Tripti; Ahmad, Nehal; Lai, Kuan-Ting; Huang, Kaizhu; Zhang, Yu-Dong; Ser, Javier Del; Lin, Chin-Teng (CoRR, 2022)

FAF-DRVFL: Fuzzy activation function based deep random vector functional links network for early diagnosis of Alzheimer disease. - Sharma, Rahul; Goel, Tripti; Tanveer, Muhammad; Dwivedi, Shubham; Murugan, R. (Appl. Soft Comput., 2021)

Ensemble of classification models with weighted functional link network. - Tanveer, Mohammad; Ganaie, M. A.; Suganthan, Ponnuthurai N. (Appl. Soft Comput., 2021)

Fuzzy least squares projection twin support vector machines for class imbalance learning. - Ganaie, M. A.; Tanveer, Muhammad; Initiative, Alzheimer's Disease Neuroimaging (Appl. Soft Comput., 2021)

Graph-Embedded Multi-Layer Kernel Ridge Regression for One-Class Classification. - Gautam, Chandan; Tiwari, Aruna; Mishra, Pratik K.; Sundaram, Suresh; Iosifidis, Alexandros; Tanveer, Muhammad (Cogn. Comput., 2021)

Internet of Things attack detection using hybrid Deep Learning Model. - Sahu, Amiya Kumar; Sharma, Suraj; Tanveer, Mohammad; Raja, Rohit (Comput. Commun., 2021)

A novel method for the classification of Alzheimer's disease from normal controls using magnetic resonance imaging. - Khan, Riyaj Uddin; Tanveer, Mohammad; Pachori, Ram Bilas; Initiative, Alzheimer's Disease Neuroimaging (Expert Syst. J. Knowl. Eng., 2021)

Sparse support vector machine with pinball loss. - Tanveer, Mohammad; Sharma, Sweta; Rastogi, Reshma; Anand, Pritam (Trans. Emerg. Telecommun. Technol., 2021)

Least squares KNN-based weighted multiclass twin SVM. - Tanveer, Muhammad; Sharma, A.; Suganthan, Ponnuthurai N. (Neurocomputing, 2021)

Generalized Twin Support Vector Machines. - Moosaei, Hossein; Ketabchi, Saeed; Razzaghi, Mohamad; Tanveer, Muhammad (Neural Process. Lett., 2021)

Random vector functional link neural network based ensemble deep learning. - Shi, Qiushi; Katuwal, Rakesh; Suganthan, Ponnuthurai N.; Tanveer, Muhammad (Pattern Recognit., 2021)

Sparse Twin Support Vector Clustering Using Pinball Loss. - Tanveer, Muhammad; Gupta, Tarun; Shah, Miten; Richhariya, Bharat (IEEE J. Biomed. Health Informatics, 2021)

Neural Style Palette: A Multimodal and Interactive Style Transfer From a Single Style Image. - Virtusio, John Jethro; Ople, Jose Jaena Mari; Tan, Daniel Stanley; Tanveer, Muhammad; Kumar, Neeraj; Hua, Kai-Lung (IEEE Trans. Multim., 2021)

Enabling Artistic Control Over Pattern Density and Stroke Strength. - Virtusio, John Jethro; Tan, Daniel Stanley; Cheng, Wen-Huang; Tanveer, Mohammad; Hua, Kai-Lung (IEEE Trans. Multim., 2021)

Large-Scale Least Squares Twin SVMs. - Tanveer, Muhammad; Sharma, Sandeep; Muhammad, Khan (ACM Trans. Internet Techn., 2021)

Privacy-preserving Time-series Medical Images Analysis Using a Hybrid Deep Learning Framework. - Yue, Zijie; Ding, Shuai; Zhao, Lei; Zhang, Youtao; Cao, Zehong; Tanveer, Mohammad; Jolfaei, Alireza; Zheng, Xi (ACM Trans. Internet Techn., 2021)

An Efficient Angle-based Universum Least Squares Twin Support Vector Machine for Classification. - Richhariya, Bharat; Tanveer, Mohammad (ACM Trans. Internet Techn., 2021)

Pinball Loss Twin Support Vector Clustering. - Tanveer, Muhammad; Gupta, Tarun; Shah, Miten (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Pinball Twin Bounded Support Vector Clustering. - Tanveer, Mohammad; Tabish, M.; Jangir, Jatin (2021)

Co-Trained Random Vector Functional Link Network. - Ganaie, M. A.; Tanveer, Muhammad; Suganthan, Ponnuthurai N. (2021)

A Novel Ensemble Method of RVFL For Classification Problem. - Malik, Ashwani Kumar; Ganaie, M. A.; Tanveer, Muhammad; Suganthan, Ponnuthurai N. (2021)

RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection. - Rashid, Ashraf Haroon; Razzak, Imran; Tanveer, Muhammad; Robles-Kelly, Antonio (2021)

Ensemble deep learning: A review. - Ganaie, Mudasir Ahmad; Hu, Minghui; Tanveer, Mohammad; Suganthan, Ponnuthurai N. (CoRR, 2021)

Comprehensive Review On Twin Support Vector Machines. - Tanveer, Mohammad; Rajani, Taniya; Rastogi, Reshma; Shao, Yuan-Hai (CoRR, 2021)

Oblique and rotation double random forest. - Ganaie, Mudasir Ahmad; Tanveer, Muhammad; Suganthan, Ponnuthurai N.; Snásel, Václav (CoRR, 2021)

LSTSVM classifier with enhanced features from pre-trained functional link network. - Ganaie, M. A.; Tanveer, Muhammad (Appl. Soft Comput., 2020)

Diagnosis of Alzheimer's disease using universum support vector machine based recursive feature elimination (USVM-RFE). - Richhariya, Bharat; Tanveer, Muhammad; Rashid, Ashraf Haroon; Initiative, Alzheimer's Disease Neuroimaging (Biomed. Signal Process. Control., 2020)

AEKOC+: Kernel Ridge Regression-Based Auto-Encoder for One-Class Classification Using Privileged Information. - Gautam, Chandan; Tiwari, Aruna; Tanveer, Muhammad (Cogn. Comput., 2020)

Oblique Decision Tree Ensemble via Twin Bounded SVM. - Ganaie, M. A.; Tanveer, Muhammad; Suganthan, Ponnuthurai N. (Expert Syst. Appl., 2020)

A novel approach for classification of mental tasks using multiview ensemble learning (MEL). - Gupta, A.; Khan, Riyaj Uddin; Singh, Vivek Kumar; Tanveer, Muhammad; Kumar, Dinesh K.; Chakraborti, A.; Pachori, Ram Bilas (Neurocomputing, 2020)

Cost-Effective Video Summarization Using Deep CNN With Hierarchical Weighted Fusion for IoT Surveillance Networks. - Muhammad, Khan; Hussain, Tanveer; Tanveer, Muhammad; Sannino, Giovanna; Albuquerque, Victor Hugo C. de (IEEE Internet Things J., 2020)

A Semantic Collaboration Method Based on Uniform Knowledge Graph. - Li, Qi; Cao, Zehong; Tanveer, Muhammad; Pandey, Hari Mohan; Wang, Chen (IEEE Internet Things J., 2020)

THP: A Novel Authentication Scheme to Prevent Multiple Attacks in SDN-Based IoT Network. - Fang, Liming; Li, Yang; Yun, Xinyu; Wen, Zhenyu; Ji, Shouling; Meng, Weizhi; Cao, Zehong; Tanveer, Muhammad (IEEE Internet Things J., 2020)

Least squares projection twin support vector clustering (LSPTSVC). - Richhariya, Bharat; Tanveer, Muhammad; Initiative, Alzheimer's Disease Neuroimaging (Inf. Sci., 2020)

Minimum variance-embedded deep kernel regularized least squares method for one-class classification and its applications to biomedical data. - Gautam, Chandan; Mishra, Pratik K.; Tiwari, Aruna; Richhariya, Bharat; Pandey, Hari Mohan; Wang, Shuihua; Tanveer, Muhammad (Neural Networks, 2020)

A reduced universum twin support vector machine for class imbalance learning. - Richhariya, Bharat; Tanveer, Muhammad (Pattern Recognit., 2020)

Sample reduction using farthest boundary point estimation (FBPE) for support vector data description (SVDD). - Alam, Shamshe; Sonbhadra, Sanjay Kumar; Agarwal, Sonali; Nagabhushan, P.; Tanveer, Muhammad (Pattern Recognit. Lett., 2020)

Quantum-enhanced multiobjective large-scale optimization via parallelism. - Cao, Bin; Fan, Shanshan; Zhao, Jianwei; Yang, Po; Muhammad, Khan; Tanveer, Mohammad (Swarm Evol. Comput., 2020)

Machine Learning Techniques for the Diagnosis of Alzheimer's Disease: A Review. - Tanveer, Muhammad; Richhariya, Bharat; Khan, Riyaj Uddin; Rashid, Ashraf Haroon; Khanna, Pritee; Prasad, Mukesh; Lin, Chin-Teng (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Privacy Protection for Medical Data Sharing in Smart Healthcare. - Fang, Liming; Yin, Changchun; Zhu, Juncen; Ge, Chunpeng; Tanveer, Muhammad; Jolfaei, Alireza; Cao, Zehong (ACM Trans. Multim. Comput. Commun. Appl., 2020)

Adaptive Ensemble Variants of Random Vector Functional Link Networks. - Hu, Minghui; Shi, Qiushi; Suganthan, Ponnuthurai N.; Tanveer, Muhammad (2020)

RipNet: A Lightweight One-Class Deep Neural Network for the Identification of RIP Currents. - Rashid, Ashraf Haroon; Razzak, Imran; Tanveer, Muhammad; Robles-Kelly, Antonio (2020)

Minimum Variance Embedded Random Vector Functional Link Network. - Ganaie, M. A.; Tanveer, Muhammad; Suganthan, Ponnuthurai N. (2020)

Regularized robust fuzzy least squares twin support vector machine for class imbalance learning. - Ganaie, M. A.; Tanveer, Muhammad; Suganthan, Ponnuthurai N. (2020)

Universum least squares twin parametric-margin support vector machine. - Richhariya, Bharat; Tanveer, Muhammad (2020)

Identification of Chimera using Machine Learning. - Ganaie, M. A.; Ghosh, Saptarshi; Mendola, Naveen; Tanveer, Muhammad; Jalan, Sarika (CoRR, 2020)

Sparse pinball twin support vector machines. - Tanveer, Muhammad; Tiwari, Aruna; Choudhary, Rahul; Jalan, Sanchit (Appl. Soft Comput., 2019)

Comprehensive evaluation of twin SVM based classifiers on UCI datasets. - Tanveer, Muhammad; Gautam, Chandan; Suganthan, Ponnuthurai N. (Appl. Soft Comput., 2019)

General twin support vector machine with pinball loss function. - Tanveer, Muhammad; Sharma, A.; Suganthan, Ponnuthurai N. (Inf. Sci., 2019)

KOC+: Kernel ridge regression based one-class classification using privileged information. - Gautam, Chandan; Tiwari, Aruna; Tanveer, Muhammad (Inf. Sci., 2019)

Deep Sparse Representation Classifier for facial recognition and detection system. - Cheng, Eric-Juwei; Chou, Kuang-Pen; Rajora, Shantanu; Jin, Bo-Hao; Tanveer, Muhammad; Lin, Chin-Teng; Young, Kuu-Young; Lin, Wen-Chieh; Prasad, Mukesh (Pattern Recognit. Lett., 2019)

Tensor Decomposition for EEG Signals Retrieval. - Cao, Zehong; Chang, Yu-Cheng; Prasad, Mukesh; Tanveer, Muhammad; Lin, Chin-Teng (2019)

Improved Sparse Pinball Twin SVM. - Tanveer, Muhammad; Rajani, Taniya; Ganaie, M. A. (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). - Gautam, Chandan; Tiwari, Aruna; Tanveer, Muhammad (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). - Gautam, Chandan; Tiwari, Aruna; Tanveer, Muhammad (CoRR, 2019)

Random Vector Functional Link Neural Network based Ensemble Deep Learning. - Katuwal, Rakesh; Suganthan, Ponnuthurai N.; Tanveer, Muhammad (CoRR, 2019)

A robust fuzzy least squares twin support vector machine for class imbalance learning. - Richhariya, Bharat; Tanveer, Muhammad (Appl. Soft Comput., 2018)

EEG signal classification using universum support vector machine. - Richhariya, Bharat; Tanveer, Muhammad (Expert Syst. Appl., 2018)

Study of Clinical Staging and Classification of Retinal Images for Retinopathy of Prematurity (ROP) Screening. - Badarinath, Deepthi; S, Chaitra; Bharill, Neha; Tanveer, Muhammad; Prasad, Mukesh; Suma, H. N.; Appaji, Abhishek M.; Vinekar, Anand (2018)

Fourier-Bessel series expansion based technique for automated classification of focal and non-focal EEG signals. - Gupta, Swastik; Krishna, Konduri Hari; Pachori, Ram Bilas; Tanveer, Muhammad (2018)

Cognitive Task Classification Using Fuzzy Based Empirical Wavelet Transform. - Tanveer, Muhammad; Gupta, Akshansh; Kumar, Dhirendra; Priyadarshini, Saumya; Chakraborti, Anirban; Mallipeddi, Rammohan (2018)

Entropy based features in FAWT framework for automated detection of epileptic seizure EEG signals. - Tanveer, Muhammad; Pachori, Ram Bilas; Angami, Nourhevinuo Victoria (2018)

Improved universum twin support vector machine. - Richhariya, Bharat; Sharma, A.; Tanveer, Muhammad (2018)

Classification of seizure and seizure-free EEG signals using Hjorth parameters. - Tanveer, Muhammad; Pachori, Ram Bilas; Angami, Nourhevinuo Victoria (2018)

A regularization on Lagrangian twin support vector regression. - Tanveer, Muhammad; Shubham, K. (Int. J. Mach. Learn. Cybern., 2017)

An efficient implicit regularized Lagrangian twin support vector regression. - Tanveer, Muhammad; Shubham, K.; Aldhaifallah, Mujahed; Nisar, Kottakkaran Sooppy (Appl. Intell., 2016)

Robust energy-based least squares twin support vector machines. - Tanveer, Muhammad; Khan, Mohammad Asif; Ho, Shen-Shyang (Appl. Intell., 2016)

One norm linear programming support vector regression. - Tanveer, Muhammad; Mangal, Mohit; Ahmad, Izhar; Shao, Yuan-Hai (Neurocomputing, 2016)

An efficient regularized K-nearest neighbor based weighted twin support vector regression. - Tanveer, Muhammad; Shubham, K.; Aldhaifallah, Mujahed; Ho, Shen-Shyang (Knowl. Based Syst., 2016)

Robust and Sparse Linear Programming Twin Support Vector Machines. - Tanveer, Muhammad (Cogn. Comput., 2015)

Application of smoothing techniques for linear programming twin support vector machines. - Tanveer, Muhammad (Knowl. Inf. Syst., 2015)

Newton method for implicit Lagrangian twin support vector machines. - Tanveer, Muhammad (Int. J. Mach. Learn. Cybern., 2015)

Note on some recent fixed point theorems in fuzzy metric spaces. - Tanveer, Muhammad (J. Intell. Fuzzy Syst., 2014)

Smooth Newton method for implicit Lagrangian twin support vector regression. - Balasundaram, S.; Tanveer, Muhammad (Int. J. Knowl. Based Intell. Eng. Syst., 2013)

On Lagrangian twin support vector regression. - Balasundaram, S.; Tanveer, Muhammad (Neural Comput. Appl., 2013)

On proximal bilateral-weighted fuzzy support vector machine classifiers. - Balasundaram, S.; Tanveer, Muhammad (Int. J. Adv. Intell. Paradigms, 2012)

Remarks on some recent metrical common fixed point theorems. - Imdad, Mohammad; Ali, Javid; Tanveer, Muhammad (Appl. Math. Lett., 2011)